DataRobot jobs

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. The Director of Account Management and New Business leads a team of Account Managers to both cultivate and expand existing strategic partnerships, and to acquire new logo business. This leader is responsible for driving customer retention, incremental revenue growth, and net-new sales by leveraging a deep understanding of customer AI strategies. The Director partners cross-functionally with Product and Marketing, utilizing insights from the existing customer base to inform new business acquisition strategies and deliver a cohesive customer experience aligned with AI-driven growth goals. **Key Responsibilities:** + Holistic portfolio growth: Drive a strategy for both incremental sales within the existing customer base and net-new business acquisition. Act as a player-coach who is comfortable leading strategic conversations for both new and existing clients, particularly concerning their generative and agentic AI initiatives. + AI-focused account and business strategy: Develop and execute a growth plan emphasizing identifying, pursuing, and closing incremental sales within the existing portfolio, while also targeting and acquiring new clients based on the market's adoption of AI. + Subject matter expert on customer AI strategy: Serve as a domain expert on how customers are leveraging agentic and generative AI. Advise both current and prospective clients on how to integrate our products and services into their AI stack to deliver measurable business outcomes and accelerate their AI transformation. + Team leadership and coaching: Lead, mentor, and coach a team of Account Managers, ensuring the team is proficient in both incremental and new business development. Ensure they can identify customer AI strategies and drive complex, AI-driven conversations. + Partnership and solution design: Act as a strategic partner, engaging with C-level and technical leaders to co-innovate and design AI-centric solutions for both existing customers and potential new clients. + New business intelligence: Leverage insights and success stories from the existing customer base to develop targeted new business strategies and compelling value propositions for prospective clients. + Predictive risk management and retention: Utilize data-driven insights to monitor client health, proactively identify potential churn risks, and manage growth opportunities. + Cross-functional collaboration: Partner closely with Sales on new business opportunities, and with Customer Success, Product, and Marketing to deliver a seamless, high-value experience that helps customers achieve their AI-driven goals. + Performance monitoring and reporting: Track key metrics, including customer retention, expansion revenue, new business revenue, and pipeline performance, with a specific focus on growth driven by AI-focused initiatives. **Knowledge, Skills and Abilities** **:** + Proven experience in a senior account management or sales leadership role, with a strong focus on both driving incremental revenue and acquiring new logo business. + Deep understanding of the generative and agentic AI landscape, including customer use cases, market trends, and implementation challenges. + Exceptional ability to engage and influence C-level and senior technical stakeholders by clearly articulating how AI-centric solutions drive business value. + Experience developing and executing both account expansion and new business strategies that successfully incorporate AI and deliver measurable business outcomes. + Excellent leadership, communication, and cross-functional collaboration skills. **Requisite Education and Experience / Minimum Qualifications:** + 10+ years in account management, customer success, or sales leadership, including 3+ years leading teams. + Experience in SaaS, AI/ML, or enterprise technology environments strongly preferred. + Bachelor's degree in Business, Technology, or related field; MBA preferred. **Compensation Statement** The U.S. annual on-target earnings (OTE) range for this full-time position is between $280,000 and $380,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

Come join a company who is a key leader in the industry scaling the next core commerce infrastructure and on the path from $100M to $500M! Founded in 2012, Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. As the market leader globally, our products are shopper-centric, frictionless, and create memorable commerce experiences. Our products provide a competitive edge through experiences that improve brand trust, amplify product differentiation and assortments, increase conversion rate, improve profit margins, and speed time to market. Learn how the world's largest brands, including Mars, L'Oreal, Coca-Cola, Bosch, and GSK, as well as retailers and distributors such as E.Leclerc, Carrefour, Metro, and Intermarché use Salsify everyday to stand out on the digital shelf. At Salsify, we strive to embody an equitable, diverse, and inclusive company culture. We are united across countries, levels, tenures, and a host of other dimensions of diversity. We understand that while work is just one aspect of who we are, a truly inclusive culture accounts for the full authenticity of every single human being that works here. About the OpportunitySalsify is seeking a Solutions Consultant to drive exceptional results in a B2B SaaS environment. As a Solutions Consultant at Salsify, supporting the Network Team, you secure the technical win through translating complex business requirements into actionable, high-value solutions that empower retailers and distributors to thrive in the evolving eCommerce landscape. Your expertise will drive strategic engagements, ensuring our customers not only see the potential of Salsify's solutions but realize transformative results. Solutions Consultants are experts in discovering and deeply understanding prospect and customer business goals, showcasing how Salsify delivers value. You'll be at the intersection of business and technology, partnering closely with Sales, Product, and Customer Success teams to shape winning strategies and deliver compelling demonstrations that resonate with both technical and non-technical stakeholders. If you are driven by challenge, a strong storyteller, passionate about technology, and thrive on translating business needs into powerful solutions, Salsify offers you the stage to make a measurable difference. Join us and help shape the future of digital commerce. How You'll Make an Impact: Partner with the Network Sales team to create and deliver business value - including participating in discovery sessions, developing creative solutions, leading product demonstrations and architecture reviews, and driving deal strategy Translate complex business requirements into actionable technical capabilities, designing tailored solutions that address each customer's unique challenges and goals Maintain technical knowledge of Salsify's product offerings and retailer and distributor stories in order to tie functionality back to desired business outcomes Build great relationships and trust with prospects and customers by providing industry thought leadership and expertise Be a trusted advisor within the Solutions Consulting team and with cross-functional teams: With Product to advocate for customer needs and influence product roadmap With Customer Success to set customers up for ongoing adoption and growth With Professional Services to understand and prioritize services scope With Marketing to be the face of product messaging and provide market feedback Leverage your consultative leadership and creative problem solving skills to differentiate Salsify in a competitive market, directly impacting customer growth and satisfaction Use your strategic influence and storytelling ability to clearly communicate the value of Salsify's platform to both technical and non-technical stakeholders You'll Enjoy This Role If You Have: 3+ years experience in a customer-facing technical role such as Solutions Consultant, Solutions Engineer, or Sales Engineer for B2B SaaS solutions Creative, “art of the possible” approach to problem solving to drive what's best for the customer and for Salsify Entrepreneurial spirit with the desire to be challenged, execute, achieve, and win Strong communication and presentation skills with an influential presence in front of executive audiences Positive, team player mentality Deep technical aptitude and understanding of complex data flows and enterprise architecture Programming expertise/foundational knowledge of Javascript, APIs, data structures, etc. Ability and willingness for 20-25% travel Be the primary resource to complete RFI/RFP responses (Requests for Information/Proposals) for prospective customers in both North America and Europe. This role will require developing a deep understanding of Salsify's core Product Experience Management (PXM) and Supplier Experience Management (SupplierXM) solutions. This person will need to understand how these solutions work together to help retailers and distributors manage, distribute, and optimize product content across digital channels.This knowledge will enable them to speak confidently to the value of our platform, support sales opportunities, and contribute to high-quality RFI/RFP responses.At Salsify, we maintain 3 core principles as part of our Compensation Philosophy: We pay market rates, which are competitive and equitable We pay based on performance and proficiency, not tenure We adjust proactively; when the market moves, we do too The posted compensation range reflects the base salary for this position. In addition to base salary, some eligible roles may also have a commission plan or a bonus incentive. All Salsify employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan, which includes health & medical benefits, flexible spending accounts, flexible PTO, and more. Offers to join Salsify are based on a few criteria, including the scope of the role, the candidate's work experience, targeted skills, internal equity of the team, and external market data.US National Pay Range$108,800-$128,000 USD Salsify loves a good success story and it would be our privilege to help write yours! We recognize that talent and potential come in all forms and that years of experience does not guarantee on-the-job effectiveness or leadership potential. Our hiring process involves recognizing a person's achievements, subject matter expertise, and passion, not just check marks next to a job description. If you have an interest in our roles please do not hesitate to apply - we would be happy to speak with you! A member of Talent '******************' will be reaching out about next steps if we would like to move forward. Salsify's mission is to empower brand manufacturers to win on the digital shelf. Helping brand manufacturers to win online is what we do. Our culture is who we are. We are empowered. We are positive thinkers. We take action. We care deeply. These values have driven Salsify's growth and earned the company numerous top workplace awards. We are headquartered in Boston, Massachusetts and have hubs in Lisbon (Portugal) and Sydney (Australia). If you are excited to work in a fast-paced environment with a team that values agility, curiosity and passion, we want to hear from you! As part of the hiring process, we may be conducting reference checks with your provided contacts. Please see our Candidate Privacy Statement for information on the personal data we process in connection with your application. An Inclusive Place To Work Salsify does not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Studies have found that people of color and women do not apply to jobs if they do not meet all the requirements. At Salsify we are committed to empowering a diverse workforce. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Accommodations Salsify is committed to an inclusive hiring process, and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact **************. We take your security seriously. When applying for a position with us, please be aware of the following: Official Communication Channels All legitimate communications from our team, including interview requests and job offers, will only come from an email address ending in @salsify.com. We will never use generic email addresses (like Gmail or Yahoo) or ask you to communicate through unofficial channels. Verify Job Postings Always verify the legitimacy of any Salsify job posting by checking our official website's careers page. If a position is not listed there, it is not a genuine Salsify opening. Secure Application Process We use secure applicant tracking systems and encrypted communication channels to protect your sensitive information and documents throughout the application process. No Payments Ever Required Legitimate employers, including Salsify, will never ask for upfront payments for applications, training, or equipment. Any request for payment is a clear sign of a scam. Personal Information Requests Sensitive personal information, such as bank details or social security numbers, will only be requested after a formal job offer has been made and exclusively through secure, verified channels.By being aware of these protocols, you can help us ensure a safe and secure application experience.

Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. About the role The Senior Solution Architect at Matillion plays a key role in securing the technical win and maximizing ACV with prospective enterprise customers. This role is responsible for qualifying customer use cases, demonstrating how Matillion's solutions solve their challenges, managing software trials, and driving business value through the platform. The Solution Architect is a consultative and adaptable team player who combines solution selling, technical expertise, and a customer-centric approach to engage in high-level technical discussions and foster long-term customer relationships. What you will be doing;Discovering Customer Requirements Diagnose technical and business pain, confirming root causes and negative consequences. Engage key stakeholders to confirm desired future state, mapping it to success metrics and business outcomes. Support customer digital sales rooms, providing technical input and ensuring alignment between sales and technical teams. Qualifying Use Cases Deliver tailored demos that align with business issues, decision criteria, and outcomes. Articulate how our platform solves customer challenges, differentiate against competitors, and verify with real-world proof points. Validating Solution Fit Lead workshops, trials, or POCs to validate solution fit with business objectives. Position competitive advantages to influence trial success criteria. Guide customer teams to integrate our solutions into their data stacks during trials while driving measurable business outcomes. Support technical aspects of credit sizing estimates. Customer Onboarding and Growth Document customer insights during the sales cycle to ensure a smooth handoff to TAMs for successful implementations. Actively support customer cadences and business review meetings ensuring platform adoption, achievement of business goals, and driving customer engagement. Identify and drive opportunities for upselling and expansion, ensuring customers realise value by increasing platform consumption through new workloads and groups. Marketing and Thought Leadership Create technical content and case studies that demonstrate how Matillion's solutions address customer challenges. Represent Matillion as a technical expert at industry events, conferences, and user groups, fostering a strong brand presence. Product Feedback & Improvement Collect and communicate customer feedback to the Product and Engineering teams, ensuring continuous product improvements and alignment with market needs. Stay informed about industry trends and best practices in data integration, cloud computing, and data transformation, sharing insights with both customers and internal teams. What we are looking for 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In-depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands-on experience with technical problem-solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders. Nice to have Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value-based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing competitive compensation in line with market standards based on the role, job family, job level, and country. This exempt role's estimated annual salaried pay range for this position is $126,000 - $189,000. Because this role is eligible for variable pay in the form of sales commissions, your total on-target annual earnings will be between $180,000 - $270,000. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. This job posting will be closed to applications on 10/4/2025. Please submit your application in advance of this time. We'll be responding to applications as quickly as possible, post the closing date. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint-hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance- Working with integrity- Customer obsessed- Innovate and demand quality- Bias for action- We care We operate a flexible working culture that promotes work-life balance, with benefits including: - Company Equity - 25 days PTO- 5 days paid volunteering leave- Health insurance- Life insurance - Access to mental health support- 401K More about MatillionThousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email ********************. Find out more about life on #TeamGreen here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value. This is a unique opportunity to design, build, and deploy a wide range of applications-from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you. This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time. Key Responsibilities: Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions. Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes: Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems. Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection. Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives. Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives. Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives. Knowledge, Skills and Abilities: AI & Machine Learning Expertise: Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.). Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases, Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring. Application Development & Operations: Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic. Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s). Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints. Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences. Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems. Requisite Education and Experience / Minimum Qualifications: Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production. Education: A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP). DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus. MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance. Compensation Statement The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $200,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. **COMPANY:** DataRobot Inc. **POSITION:** Senior Execution Data Scientist **WORK LOCATION:** 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) **JOB DUTIES:** Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. **MINIMUM REQUIREMENTS:** + Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation + 3 years of experience consulting with customers on end-to-end data science solutions + 3 years of experience building and implementing machine learning or AI models into production + Experience with each of the following: + Machine learning and predictive modeling. + Building and implementing predictive models, data science, and complex statistical analysis. + Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries. + Developing predictive models, AI algorithms, and systems to generate significant business insights. + Integrating predictive models and AI algorithms into client environments. + Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization. Experience requirements may have been satisfied concurrently. **TERMS OF EMPLOYMENT:** Full time (40+ hours per week). $190,000-$232,750 per year. **BENEFITS:** Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD& D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flex paid time off, quarterly reboot days and paid parental leave. **TO APPLY:** Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. The Vice President, AI Technical Success is an executive leader responsible for defining and executing the global strategy for enabling customers to rapidly adopt DataRobot. The Technical Success team will work hand in hand with AI Engineers and App developers at customers to ensure customers achieve maximum value from DataRobot's Agentic platform. This role oversees a multi-regional team of AI Technical Success Managers, driving adoption, expansion, and long-term retention through scalable, high-impact post-sales technical engagement. As a key member of the Customer Success leadership team, the VP partners cross-functionally with Account Management, Professional Services, Product, and Engineering to align technical delivery with business outcomes, drive customer value realization, and influence product strategy based on customer feedback. This leader will also be accountable for the function's operational performance, P&L alignment, and organizational scalability as the company grows. Key Responsibilities: Strategic Leadership & Vision Define and execute the global AI Technical Success strategy, ensuring alignment with company growth objectives and customer success metrics. Lead the evolution of AI Technical Success to support new product offerings, emerging customer needs, and changing market conditions. Represent AI Technical Success in executive forums and with strategic customers, influencing corporate priorities and GTM execution. Team Leadership & Development Lead, coach, and scale a multi-regional team of AISMs (I-III) and senior managers, fostering a culture of accountability, innovation, and customer obsession. Establish clear career pathways, performance standards, and development programs for technical talent. Recruit and retain top-tier leaders and practitioners, ensuring organizational readiness for rapid growth. Operational Excellence Develop and implement scalable processes, metrics, and tooling to ensure consistent, high-quality delivery across all engagements. Drive utilization, capacity planning, and productivity metrics to maximize the team's impact on adoption and expansion goals. Oversee budget planning and resource allocation to align with business priorities and customer needs. Customer Outcomes & Value Realization Ensure delivery of measurable business outcomes through adoption planning, enablement, and ongoing technical engagement. Establish and enforce success planning standards, integrating business objectives and product usage data to identify risks and opportunities. Drive customer health improvements that directly influence retention, renewal, and expansion. Cross-Functional & Executive Collaboration Partner with Account Management, Professional Services, and Engagement Directors to create unified customer strategies that accelerate expansion and renewal. Serve as the primary technical advocate for customers to Product and Engineering, influencing product roadmap and closing adoption gaps. Collaborate with Marketing and Enablement to scale customer education and thought leadership. Performance Management & Insights Own key Success KPIs including application consumption rates, customer health scores, technical enablement CSAT, retention, and expansion. Deliver quarterly business reviews to the executive team, highlighting performance, trends, risks, and growth opportunities. Promote a culture of data-driven decision-making, leveraging telemetry and analytics to continuously improve performance. Knowledge, Skills and Abilities: Deep expertise in AI, Agents, GenAI engineering, SaaS delivery, and enterprise customer success models. Exceptional leadership skills with a proven ability to manage managers, scale global teams, and drive organizational transformation. Strong executive presence with the ability to influence C-suite stakeholders internally and externally. Skilled in translating complex technical capabilities into clear business outcomes and ROI narratives. Proficient in building and operating against KPIs, financial models, and resource plans. Requisite Education and Experience / Minimum Qualifications: 15+ years in post-sales technical/solution engineering/professional services roles (e.g., AI Engineer, Solutions Consultant, Customer Success Engineering). 5+ years in people leadership roles, including managing managers and multi-regional teams. 3-5+ years in a senior leadership/executive role with direct accountability for revenue retention, adoption, or expansion metrics. Proven track record of building scalable technical success or professional services functions in high-growth SaaS companies. Bachelor's degree in a technical, business, or related field (advanced degree preferred). Compensation Statement The U.S. annual on-target earnings (OTE) range for this full-time position is between $260,000 and $360,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. As a Staff Software Engineer focused on Application Scalability & Performance, you will lead the design, implementation, and operation of backend systems that power high-throughput AI applications. Your work will ensure our applications perform with high accuracy, minimal latency, and robust scalability (including autoscaling), all while maintaining reliability, cost-effectiveness, and maintainability. You will collaborate closely with Product, Platform, and AL/ML teams to deliver high impact. Key Responsibilities: Architect, build, and lead backend services that scale to handle large workloads, high concurrency, and low latency requirements. Design and implement autoscaling strategies (horizontal/vertical), dynamic resource allocation, and load balancing to ensure responsive, cost-efficient service. Improve end-to-end request pipelines, optimizing for latency, throughput, reliability, and correctness. Instrument, monitor, and profile systems in production; identify bottlenecks, troubleshoot performance issues, and proactively tune services. Collaborate with ML/AI teams to ensure models' serving pipelines uphold accuracy, consistency, and performance under load. Drive best practices in systems reliability, observability, error handling, capacity planning, resilience, and failover. Mentor and coach other engineers; provide technical leadership and influence across teams. Contribute to defining architecture, coding standards, performance benchmarks, and technical roadmap items related to scalability and performance. Knowledge, Skills, and Abilities: 7+ years of backend engineering experience building scalable, high-performance distributed systems / services. Strong experience with performance optimization: e.g. profiling, latency tuning, concurrency, caching strategies. Deep experience with autoscaling, resource management, load balancing, throughput/latency SLAs. Solid programming skills in one or more backend languages (e.g. Python, Java, Go, C++, or equivalent). Strong understanding of observability and monitoring: metrics, tracing, logging; and instrumentation of services. Design and architect scalable AI-backed services and applications, integrating AI models into production systems with high performance, reliability, and low latency. Ability to solve ambiguous challenges and influence technical direction across teams, balancing performance, accuracy, and cost. Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments. Nice to Have: Experience with AI/ML model deployment, serving, inference, and production integration. Experience with Gen AI / serving LLMs, embeddings, etc. Exposure to on-prem delivery models or regulated environments. Experience with Docker and building containerized applications. Open source software development experience or contributions. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. The Director, Corporate Strategy at DataRobot is a strategic, results-oriented individual contributor who will work across the organization to define and accelerate our short and long-term corporate strategy. This individual will be responsible for identifying and evaluating growth opportunities, assessing the competitive landscape, and executing strategic initiatives that align with the Office of the CEO. The ideal candidate will have proven success in a strategic role with a balance of deep analytical skills, excellent project management skills, strong business acumen, the ability to influence and collaborate with senior leadership, and experience in the AI space. Responsibilities: Execute the continuous development and evolution of DataRobot's corporate strategy, translating the company's mission and vision into an actionable strategic plan. Conduct in-depth analysis of the AI market, competitive landscape, and emerging technology trends to identify and evaluate strategic threats and opportunities. Develop high-impact presentations and strategic narratives for the Executive Leadership Team (ELT), outlining strategic priorities, market analysis, and key initiatives. Act as an internal consultant, leading high-priority, cross-functional strategic projects as defined by the Office of the CEO (e.g., new business models, strategic partnerships). Partner with Finance and functional leaders to support the annual strategic planning process, ensuring tight alignment between strategy, execution, and financial targets. Collaborate with leaders across Product, GTM, and Engineering to ensure strategic initiatives are operationalized and to gather insights that inform strategic direction. Requirements: 5+ years of relevant experience, with a strong preference for backgrounds in top-tier management consulting and/or in-house corporate strategy at a tech/SaaS company. Exceptional structured, hypothesis-driven problem solving and quantitative analytical skills; able to synthesize complex information into clear, actionable insights. Superior communication and presentation skills, with the ability to articulate complex strategic concepts clearly and persuasively to senior executives. Exceptional program management skills, including the ability to manage cross-functional initiatives. Demonstrated ability to tackle complex and ambiguous challenges with a bias for action and a high degree of ownership. Proven ability to build strong, collaborative relationships with senior stakeholders and influence across all levels of an organization. Domain knowledge in AI along with experience with SaaS business models and go-to-market functions is preferred. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Come join a company who is a key leader in the industry scaling the next core commerce infrastructure and on the path from $100M to $500M! Founded in 2012, Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. As the market leader globally, our products are shopper-centric, frictionless, and create memorable commerce experiences. Our products provide a competitive edge through experiences that improve brand trust, amplify product differentiation and assortments, increase conversion rate, improve profit margins, and speed time to market. Learn how the world's largest brands, including Mars, L'Oreal, Coca-Cola, Bosch, and GSK, as well as retailers and distributors such as E.Leclerc, Carrefour, Metro, and Intermarché use Salsify everyday to stand out on the digital shelf. At Salsify, we strive to embody an equitable, diverse, and inclusive company culture. We are united across countries, levels, tenures, and a host of other dimensions of diversity. We understand that while work is just one aspect of who we are, a truly inclusive culture accounts for the full authenticity of every single human being that works here. About the Opportunity Salsify is seeking a Solutions Consultant to drive exceptional results in a B2B SaaS environment. As a Solutions Consultant at Salsify, supporting the Network Team, you secure the technical win through translating complex business requirements into actionable, high-value solutions that empower retailers and distributors to thrive in the evolving eCommerce landscape. Your expertise will drive strategic engagements, ensuring our customers not only see the potential of Salsify's solutions but realize transformative results. Solutions Consultants are experts in discovering and deeply understanding prospect and customer business goals, showcasing how Salsify delivers value. You'll be at the intersection of business and technology, partnering closely with Network Sales, Product, and Customer Success teams to shape winning strategies and deliver compelling demonstrations that resonate with both technical and non-technical stakeholders. If you are driven by challenge, a strong storyteller, passionate about technology, and thrive on translating business needs into powerful solutions, Salsify offers you the stage to make a measurable difference. Join us and help shape the future of digital commerce. How You'll Make an Impact: Partner with the Network Sales team to create and deliver business value - including participating in discovery sessions, developing creative solutions, leading product demonstrations and architecture reviews, and driving deal strategy Translate complex business requirements into actionable technical capabilities, designing tailored solutions that address each customer's unique challenges and goals Maintain technical knowledge of Salsify's Network product offerings and retailer and distributor stories in order to tie functionality back to desired business outcomes Build great relationships and trust with prospects and customers by providing industry thought leadership and expertise Be a trusted advisor within the Solutions Consulting team and with cross-functional teams: With Product to advocate for customer needs and influence product roadmap With Customer Success to set customers up for ongoing adoption and growth With Professional Services to understand and prioritize services scope With Marketing to be the face of product messaging and provide market feedback Leverage your consultative leadership and creative problem solving skills to differentiate Salsify in a competitive market, directly impacting customer growth and satisfaction Use your strategic influence and storytelling ability to clearly communicate the value of Salsify's platform to both technical and non-technical stakeholders You'll Enjoy This Role If You Have: 3-5+ years experience in a customer-facing technical role such as Solutions Consultant, Solutions Engineer, or Sales Engineer for B2B SaaS solutions Creative, “art of the possible” approach to problem solving to drive what's best for the customer and for Salsify Entrepreneurial spirit with the desire to be challenged, execute, achieve, and win Strong communication and presentation skills with an influential presence in front of executive audiences Positive, team player mentality Deep technical aptitude and understanding of complex data flows and enterprise architecture Programming expertise/foundational knowledge of Javascript, APIs, data structures, etc. Ability and willingness for 20-25% travel This role will primarily support our North American sales organization, with additional support for our French sales team on select opportunities Be the primary resource to complete RFI/RFP responses (Requests for Information/Proposals) for prospective customers in both North America and Europe. This role will require developing a deep understanding of Salsify's core Product Experience Management (PXM) and Supplier Experience Management (SupplierXM) solutions. This person will need to understand how these solutions work together to help retailers and distributors manage, distribute, and optimize product content across digital channels.This knowledge will enable them to speak confidently to the value of our platform, support sales opportunities, and contribute to high-quality RFI/RFP responses. #LI-AS1 #LI-Remote At Salsify, we maintain 3 core principles as part of our Compensation Philosophy: We pay market rates, which are competitive and equitable We pay based on performance and proficiency, not tenure We adjust proactively; when the market moves, we do too The posted compensation range reflects the base salary for this position. In addition to base salary, some eligible roles may also have a commission plan or a bonus incentive. All Salsify employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan, which includes health & medical benefits, flexible spending accounts, flexible PTO, and more. Offers to join Salsify are based on a few criteria, including the scope of the role, the candidate's work experience, targeted skills, internal equity of the team, and external market data.US National Pay Range$117,300-$138,000 USD Salsify loves a good success story and it would be our privilege to help write yours! We recognize that talent and potential come in all forms and that years of experience does not guarantee on-the-job effectiveness or leadership potential. Our hiring process involves recognizing a person's achievements, subject matter expertise, and passion, not just check marks next to a job description. If you have an interest in our roles please do not hesitate to apply - we would be happy to speak with you! A member of Talent '******************' will be reaching out about next steps if we would like to move forward. Salsify's mission is to empower brand manufacturers to win on the digital shelf. Helping brand manufacturers to win online is what we do. Our culture is who we are. We are empowered. We are positive thinkers. We take action. We care deeply. These values have driven Salsify's growth and earned the company numerous top workplace awards. We are headquartered in Boston, Massachusetts and have hubs in Lisbon (Portugal) and Sydney (Australia). If you are excited to work in a fast-paced environment with a team that values agility, curiosity and passion, we want to hear from you! As part of the hiring process, we may be conducting reference checks with your provided contacts. Please see our Candidate Privacy Statement for information on the personal data we process in connection with your application. An Inclusive Place To Work Salsify does not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Studies have found that people of color and women do not apply to jobs if they do not meet all the requirements. At Salsify we are committed to empowering a diverse workforce. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Accommodations Salsify is committed to an inclusive hiring process, and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact **************. We take your security seriously. When applying for a position with us, please be aware of the following: Official Communication Channels All legitimate communications from our team, including interview requests and job offers, will only come from an email address ending in @salsify.com. We will never use generic email addresses (like Gmail or Yahoo) or ask you to communicate through unofficial channels. Verify Job Postings Always verify the legitimacy of any Salsify job posting by checking our official website's careers page. If a position is not listed there, it is not a genuine Salsify opening. Secure Application Process We use secure applicant tracking systems and encrypted communication channels to protect your sensitive information and documents throughout the application process. No Payments Ever Required Legitimate employers, including Salsify, will never ask for upfront payments for applications, training, or equipment. Any request for payment is a clear sign of a scam. Personal Information Requests Sensitive personal information, such as bank details or social security numbers, will only be requested after a formal job offer has been made and exclusively through secure, verified channels.By being aware of these protocols, you can help us ensure a safe and secure application experience.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. About the Role This is not your typical growth marketing role. We're looking for a bold, creative, and metrics-obsessed Head of Growth and Operations to architect and run the engine that powers our global AI go-to-market. You'll have full ownership of demand generation, digital, ABM, marketing operations, and strategy driving pipeline at scale while building one of the most admired growth machines in the fastest-moving space in tech. If you've ever wanted to build the blueprint for how AI companies go to market across regions, accounts, and ecosystems this is your moment. What You'll Own Lead our global demand generation, digital marketing, SEO, ABM, and GTM strategy to drive net-new pipeline and customer expansion Build and evolve a multi-tiered ABM strategy, delivering targeted experiences across verticals, segments, and deal stages Drive marketing operations and infrastructure including attribution, reporting, scoring models, and campaign performance dashboards Partner with sales leadership to align on growth goals, territory coverage, and pipeline acceleration strategies Drive integrated campaigns across field marketing, partner marketing, and SDRs to reach and convert high-value accounts Deliver repeatable, scalable program frameworks that align to quarterly goals while leaving room for innovation Mentor and lead a team of growth marketers, campaign managers, and marketing ops professionals supporting their development while maintaining a high-performance culture Collaborate with product marketing and brand to shape themes and ensure consistent positioning across channels What You Bring 10+ years in B2B marketing with deep leadership experience across demand generation, marketing operations, and ABM Proven track record of driving measurable pipeline and revenue impact at enterprise scale, supporting both pre- and post-IPO growth Deep understanding of ABM best practices, including partner ABM, 1:1 personalization, and integrated outbound programs Experience managing and scaling global marketing operations, including tools, data, attribution models, and predictive scoring Strong partnership with sales, SDRs, and RevOps able to build trust, drive alignment, and hold teams accountable to shared targets Experience launching multi-channel field and digital campaigns, including webinars, in-person events, and high-value content experiences Ability to move seamlessly between strategy and execution, working across leadership and hands-on teams to make things happen Highly analytical with strong proficiency in marketing tech stacks, CRM systems, and reporting tools Why Join Us AI is the most transformative technology wave of our time and we're at the center of it. You'll lead growth in a company that's not chasing the trend, but shaping it. You'll have the opportunity to build from the ground up, but with scale, urgency, and full executive support behind you. Lead a global charter across campaigns, operations, ABM all under one roof, and partner with the biggest names in tech, like NVIDIA, to define what modern B2B growth should look like. You'll work with a hungry, high-velocity team that values speed, autonomy, and impact over red tape. If you've been waiting for the opportunity to build your dream growth engine at the center of AI this is it. Compensation Statement The U.S. annual compensation range for this full-time position is between $205,000 and $280,000 USD/year. This range represents the annual base salary. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value. This is a unique opportunity to design, build, and deploy a wide range of applications-from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you. **This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.** **Key Responsibilities:** + Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions. + Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes: + Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index + Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems. + Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection. + Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives. + Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives. + Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives. **Knowledge, Skills and Abilities** **:** **AI & Machine Learning Expertise:** + Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.). + Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases, + Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring. **Application Development & Operations:** + Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic. + Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s). + Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints. + Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences. + Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems. **Requisite Education and Experience / Minimum Qualifications:** + Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production. + Education: A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. + Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP). + DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus. + MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance. **Compensation Statement** The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $200,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. COMPANY: DataRobot Inc. POSITION: Senior Execution Data Scientist WORK LOCATION: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) JOB DUTIES: Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. MINIMUM REQUIREMENTS: Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation 3 years of experience consulting with customers on end-to-end data science solutions 3 years of experience building and implementing machine learning or AI models into production Experience with each of the following: Machine learning and predictive modeling. Building and implementing predictive models, data science, and complex statistical analysis. Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries. Developing predictive models, AI algorithms, and systems to generate significant business insights. Integrating predictive models and AI algorithms into client environments. Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization. Experience requirements may have been satisfied concurrently. TERMS OF EMPLOYMENT: Full time (40+ hours per week). $190,000-$232,750 per year. BENEFITS: Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD& D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flex paid time off, quarterly reboot days and paid parental leave. TO APPLY: Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. This is your chance to help define and create a category in AI. We're looking for an experienced Product Marketing Manager to own the story, strategy, and go-to-market strategies for Agentic AI. You'll translate the power of our agentic AI platform into messaging that cuts through the noise and sea of sameness. You'll shape programs that resonate with both AI leaders (CDOs, CIOs, CDSOs) and hands-on ML practitioners (data scientists, engineers, AI app developers). And you'll do it all as part of a small, fast-moving team where ideas get built and launched, not stuck in planning. What you'll do Own the Agent Platform Storytelling: Be the voice of the DataRobot Agentic AI Platform. Shape the core messaging, value proposition, and positioning that define what makes our agent workforce different and why it matters now. Activate Breakthrough Use Cases: Build stories around what makes agentic AI actually impactful to organizations: From automated decision-making to sophisticated reasoning, help customers see what's possible and how to get started. Collaborate with Growth and content teams to turn these into pipeline-driving programs. Work hand-in-hand with the Field & Enablement: Craft "better together" messaging with key partners like NVIDIA, SAP, and Dell, and enable the field with pitch decks, talk tracks, battlecards, and prospecting templates that resonate with both technical and executive buyers. Write It. Build It. Launch It. This is a Full-Stack PMM: This is a full-stack role, meaning you will both create the strategy and build the materials needed to execute it. You will own the full marketing cycle, including measuring performance and iterating on the strategy for continuous improvement. Craft Magnetic Messaging and be the Authority: You love to dive into the technical and know the art of translating that into a into distinct and compelling market messaging for digital programs, sales engagements, and executive events. Build the Content Portfolio: Deliver high-impact assets from landing pages and live demo flows to executive decks, articles, ebooks, and videos working across PMM, content, and ABM teams to activate the message across the funnel. What You Bring We are looking for a product marketing leader who is passionate about translating complex agentic AI capabilities into clear, motivating market narratives. Minimum 3-5 years of experience in the data and analytics space. Ideally, looking for someone with core product marketing experience for an enterprise platform or a technical, B2B software product, bonus points for those with exposure to LLMs, generative AI, or agent frameworks. You love creating unique value propositions and presentations and can articulate a compelling product-centric story that drives platform adoption for AI agent development, essentially you're fluent in positioning, not just features You know how to build strong relationships across internal functions-including Product Management, Sales, and Engineering-to drive successful product launches and GTM execution. A strong portfolio of impactful marketing content and sales enablement materials. Experience working closely with Product Management on launch motions and the overall product roadmap. Ability to conduct customer and market research to understand AI Leader and ML Practitioner needs, specifically around the adoption and governance of agentic systems, helping to inform content development and enablement strategy. High-level of comfort in a startup-like environment; you must be able to drive forward, create content, and build GTM strategies with minimal guidance. Why Join Us This is your shot to help define the Agentic AI category and shape how enterprise teams build with intelligence at the core. You'll work at the intersection of technical product depth and creative storytelling, with the freedom to ship fast, speak boldly, and partner with the best in the business (from NVIDIA to SAP to some of the most forward-thinking customers in the world). You'll be part of a small, scrappy, highly visible team building not just messaging but a motion across the org. If you've been waiting for a role where you can do the best product marketing work of your career, in the most exciting space in tech, this is it. Compensation Statement The U.S. annual compensation range for this full-time position is between $120,000 and $165,000 USD/year. This range represents the annual base salary. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. As a Principal Software Engineer for Generative AI at DataRobot, you will be the technical anchor for our GenAI Tooling and Systems teams, shaping the architecture, ensuring scalability, and defining the future direction of our AI platform. This is not just a hands-on coding role; it's a technical leadership position where you'll drive multi-year projects, mentor senior engineers, and ensure our Generative AI solutions deliver real business impact. You'll work together with research, engineering, and product, translating cutting-edge AI advancements into robust system capabilities that power real-world applications. This role is for you if you're passionate about LLMs, Agents, AI Apps, AI orchestration, and scalable tooling, and thrive on solving open-ended, cross-functional, ambiguous challenges. **Key Responsibilities:** 1. Technical Vision + Shape the long-term technical strategy for Generative AI at DataRobot, ensuring our systems are scalable, maintainable, and aligned with business goals. + Lead architectural decisions for GenAI tooling (e.g. Agents and Agentic Workflows, Prompt Management, Frameworks & Libraries, LLM Onboarding,Tools, Multi-Agent Evaluations, Multimodality, etc.) and GenAI systems (e.g. Inference optimization, Distributed Training, Finetuning, Distillation, LLM Moderation and Guardrails, etc.). + Anticipate technical risks and propose mitigation strategies before they become roadblocks. 2. Execution & Impact + Hands-on development: Build, ship and operate critical AI infrastructure, balancing rapid iteration with long-term technical health. + Solve cross-pillar challenges, such as optimizing LLM latency/cost, improving Agentic workflows, RAG workflows, or ensuring reproducibility in generative outputs. + Drive operational excellence by improving observability, reliability, and performance of AI systems in production. 3. Leadership & Mentorship + Act as the technical advisor to engineering leadership (VPs, Directors) and product teams, influencing roadmap priorities. + Mentor Staff/Senior Engineers, elevating the team's technical bar through design reviews, best practices, and knowledge sharing. + Foster a culture of innovation and rigor, ensuring AI solutions are both cutting-edge and production-ready. 4. Cross-Functional Collaboration + Partner with Research, Product, and GTM teams to align technical efforts with customer needs and market opportunities. + Communicate complex technical concepts to executives and non-technical stakeholders, enabling data-driven decisions. **Knowledge, Skills & Abilities:** + A technical leader with 8+ years of software engineering experience, including 3+ years in AI/ML systems (Generative AI preferred). + Deep expertise in: + Scalable systems: Distributed computing, containerization (Docker/K8s), and multi-cloud deployments (AWS/GCP/Azure/Openshift). + Software craftsmanship: Python, API design, and infrastructure-as-code (Terraform, Pulumi). + Proven track record of delivering multi-year, high-impact projects with cross-functional dependencies. + A systems thinker who balances innovation with operational pragmatism (e.g., cost-to-serve, technical debt). + Exceptional communication and influence skills-you can rally teams behind a technical vision. **Nice to Have:** + Deep expertise in Generative AI stack: LLMs (open/closed-source), fine-tuning, RAG, orchestration, and evaluation metrics. + Experience with MLOps tools and AI-specific infra (e.g., vector DBs, GPU optimization). + Contributions to open-source AI projects or published research in ML/GenAI. + Background in enterprise SaaS or B2B AI products. **Why Join Us?:** + Lead the GenAI revolution at a company where AI is the core product, not an add-on. + Work with a world-class team of AI researchers, engineers, and product leaders. + Define the future of our AI platform; your work will directly shape DataRobot's trajectory. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. The Principal Product Manager, Data and AI, Agent Workforce Platform will support the organization in building foundational data management capabilities for Agentic AI. You will play a pivotal role in shaping DataRobot's Agentic Workforce Platform, the most comprehensive lifecycle management platform to Build, Operate and Govern agents in any environment, be it cloud, on-premises, hybrid or airgapped. As part of this, you will be responsible for key Generative, Predictive and Agentic AI capabilities that drive differentiation of the Agent Workforce Platform. The Principal Product Manager, Data and AI will work closely with stakeholders across all parts of the business including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams to execute growth projects and new products and features. The ideal candidate will have a proven track record of breaking down complex problems into steps that enable customers to leverage their data and AI/ML to create business value. The ideal candidate will also have experience with unstructured and structured data management capabilities like RAG systems, accessing data across various data stores and warehouses and preparing data at scale for AI, all while being agnostic to the environment, cloud, on-premises or airgapped. **Key Responsibilities:** + Lead technical discussions and be a thought leader during product reviews + Integrate your technical knowledge, subject matter expertise and understanding market trends to make sound decisions and influence business direction through data-driven analysis. + Responsible for defining product strategy, detailed requirements, and collaborating with engineering, customer success, and marketing to successfully launch the product. + Develop and manage end-to-end product plans and work with stakeholders to ensure on-time delivery. + Work closely with customers to ensure successful product adoption of product capabilities + Articulate to stakeholders your team's technology vision, requirements, goals and milestones. + Provide hands-on leadership during analysis, design, development, testing, implementation, and post implementation phases. + Own the execution of foundational infrastructure and capabilities that would be used for creating and running Agentic AI workloads and the data systems needed to support those workloads. **Requisite Education and Experience / Minimum Qualifications:** + Bachelor's degree in Computer Science, Engineering, or a related technical field. + Proven experience (8+ years) in a technical product management role, preferably with a focus on IaaS, PaaS, cloud infrastructure, or distributed compute products. + Have introduced radical new products (0 to 1) to end customers in previous roles that have dramatically changed market dynamics. + Knowledge of the AI/ML landscape for on-premises and cloud infrastructure, and the unique infrastructure requirements for large-scale training and inference workloads, with the ability to shape strategy and engage with stakeholders. + Strong technical background with a deep understanding of data preparation and management for AI, and AI systems themselves, whether it be Predictive, Generative or Agentic. You are comfortable discussing the merits of different RAG systems, data preparation pipelines for structured and unstructured data, choices of Vector Databases, access management for RAG systems and so on. + Experience working directly with public cloud services (AWS EC2, GCP Compute Engine, Azure VMs). + Demonstrated ability to own and drive the product lifecycle for highly technical, developer-focused products. + Excellent communication skills, with the ability to articulate a complex technical vision to both technical and business stakeholders. **Nice to Have:** + Experience with or a strong understanding of development, deployment and governance solutions for Agentic AI, and the different tradeoffs associated with solutions. + Experience with software in isolated, air-gapped, or otherwise network-restricted environments. + Master's degree in Engineering, Data Science, or a related field. + MBA The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. The Vice President, AI Technical Success is an executive leader responsible for defining and executing the global strategy for enabling customers to rapidly adopt DataRobot. The Technical Success team will work hand in hand with AI Engineers and App developers at customers to ensure customers achieve maximum value from DataRobot's Agentic platform. This role oversees a multi-regional team of AI Technical Success Managers, driving adoption, expansion, and long-term retention through scalable, high-impact post-sales technical engagement. As a key member of the Customer Success leadership team, the VP partners cross-functionally with Account Management, Professional Services, Product, and Engineering to align technical delivery with business outcomes, drive customer value realization, and influence product strategy based on customer feedback. This leader will also be accountable for the function's operational performance, P&L alignment, and organizational scalability as the company grows. **Key Responsibilities:** **Strategic Leadership & Vision** + Define and execute the global AI Technical Success strategy, ensuring alignment with company growth objectives and customer success metrics. + Lead the evolution of AI Technical Success to support new product offerings, emerging customer needs, and changing market conditions. + Represent AI Technical Success in executive forums and with strategic customers, influencing corporate priorities and GTM execution. **Team Leadership & Development** + Lead, coach, and scale a multi-regional team of AISMs (I-III) and senior managers, fostering a culture of accountability, innovation, and customer obsession. + Establish clear career pathways, performance standards, and development programs for technical talent. + Recruit and retain top-tier leaders and practitioners, ensuring organizational readiness for rapid growth. **Operational Excellence** + Develop and implement scalable processes, metrics, and tooling to ensure consistent, high-quality delivery across all engagements. + Drive utilization, capacity planning, and productivity metrics to maximize the team's impact on adoption and expansion goals. + Oversee budget planning and resource allocation to align with business priorities and customer needs. **Customer Outcomes & Value Realization** + Ensure delivery of measurable business outcomes through adoption planning, enablement, and ongoing technical engagement. + Establish and enforce success planning standards, integrating business objectives and product usage data to identify risks and opportunities. + Drive customer health improvements that directly influence retention, renewal, and expansion. **Cross-Functional & Executive Collaboration** + Partner with Account Management, Professional Services, and Engagement Directors to create unified customer strategies that accelerate expansion and renewal. + Serve as the primary technical advocate for customers to Product and Engineering, influencing product roadmap and closing adoption gaps. + Collaborate with Marketing and Enablement to scale customer education and thought leadership. **Performance Management & Insights** + Own key Success KPIs including application consumption rates, customer health scores, technical enablement CSAT, retention, and expansion. + Deliver quarterly business reviews to the executive team, highlighting performance, trends, risks, and growth opportunities. + Promote a culture of data-driven decision-making, leveraging telemetry and analytics to continuously improve performance. **Knowledge, Skills and Abilities** **:** + Deep expertise in AI, Agents, GenAI engineering, SaaS delivery, and enterprise customer success models. + Exceptional leadership skills with a proven ability to manage managers, scale global teams, and drive organizational transformation. + Strong executive presence with the ability to influence C-suite stakeholders internally and externally. + Skilled in translating complex technical capabilities into clear business outcomes and ROI narratives. + Proficient in building and operating against KPIs, financial models, and resource plans. **Requisite Education and Experience / Minimum Qualifications:** + 15+ years in post-sales technical/solution engineering/professional services roles (e.g., AI Engineer, Solutions Consultant, Customer Success Engineering). + 5+ years in people leadership roles, including managing managers and multi-regional teams. + 3-5+ years in a senior leadership/executive role with direct accountability for revenue retention, adoption, or expansion metrics. + Proven track record of building scalable technical success or professional services functions in high-growth SaaS companies. + Bachelor's degree in a technical, business, or related field (advanced degree preferred). **Compensation Statement** The U.S. annual on-target earnings (OTE) range for this full-time position is between $260,000 and $360,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value. This is a unique opportunity to design, build, and deploy a wide range of applications-from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you. This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time. Key Responsibilities: Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions. Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes: Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems. Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection. Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives. Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives. Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives. Knowledge, Skills and Abilities: AI & Machine Learning Expertise: Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.). Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases, Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring. Application Development & Operations: Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic. Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s). Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints. Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences. Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems. Requisite Education and Experience / Minimum Qualifications: Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production. Education: A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP). DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus. MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance. Compensation Statement The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $200,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. As a Staff Software Engineer focused on Application Scalability & Performance, you will lead the design, implementation, and operation of backend systems that power high-throughput AI applications. Your work will ensure our applications perform with high accuracy, minimal latency, and robust scalability (including autoscaling), all while maintaining reliability, cost-effectiveness, and maintainability. You will collaborate closely with Product, Platform, and AL/ML teams to deliver high impact. **Key Responsibilities:** + Architect, build, and lead backend services that scale to handle large workloads, high concurrency, and low latency requirements. + Design and implement autoscaling strategies (horizontal/vertical), dynamic resource allocation, and load balancing to ensure responsive, cost-efficient service. + Improve end-to-end request pipelines, optimizing for latency, throughput, reliability, and correctness. + Instrument, monitor, and profile systems in production; identify bottlenecks, troubleshoot performance issues, and proactively tune services. + Collaborate with ML/AI teams to ensure models' serving pipelines uphold accuracy, consistency, and performance under load. + Drive best practices in systems reliability, observability, error handling, capacity planning, resilience, and failover. + Mentor and coach other engineers; provide technical leadership and influence across teams. + Contribute to defining architecture, coding standards, performance benchmarks, and technical roadmap items related to scalability and performance. **Knowledge, Skills, and Abilities:** + 7+ years of backend engineering experience building scalable, high-performance distributed systems / services. + Strong experience with performance optimization: e.g. profiling, latency tuning, concurrency, caching strategies. + Deep experience with autoscaling, resource management, load balancing, throughput/latency SLAs. + Solid programming skills in one or more backend languages (e.g. Python, Java, Go, C++, or equivalent). + Strong understanding of observability and monitoring: metrics, tracing, logging; and instrumentation of services. + Design and architect scalable AI-backed services and applications, integrating AI models into production systems with high performance, reliability, and low latency. + Ability to solve ambiguous challenges and influence technical direction across teams, balancing performance, accuracy, and cost. + Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments. **Nice to Have:** + Experience with AI/ML model deployment, serving, inference, and production integration. + Experience with Gen AI / serving LLMs, embeddings, etc. + Exposure to on-prem delivery models or regulated environments. + Experience with Docker and building containerized applications. + Open source software development experience or contributions. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. The Director of Account Management and New Business leads a team of Account Managers to both cultivate and expand existing strategic partnerships, and to acquire new logo business. This leader is responsible for driving customer retention, incremental revenue growth, and net-new sales by leveraging a deep understanding of customer AI strategies. The Director partners cross-functionally with Product and Marketing, utilizing insights from the existing customer base to inform new business acquisition strategies and deliver a cohesive customer experience aligned with AI-driven growth goals. Key Responsibilities: Holistic portfolio growth: Drive a strategy for both incremental sales within the existing customer base and net-new business acquisition. Act as a player-coach who is comfortable leading strategic conversations for both new and existing clients, particularly concerning their generative and agentic AI initiatives. AI-focused account and business strategy: Develop and execute a growth plan emphasizing identifying, pursuing, and closing incremental sales within the existing portfolio, while also targeting and acquiring new clients based on the market's adoption of AI. Subject matter expert on customer AI strategy: Serve as a domain expert on how customers are leveraging agentic and generative AI. Advise both current and prospective clients on how to integrate our products and services into their AI stack to deliver measurable business outcomes and accelerate their AI transformation. Team leadership and coaching: Lead, mentor, and coach a team of Account Managers, ensuring the team is proficient in both incremental and new business development. Ensure they can identify customer AI strategies and drive complex, AI-driven conversations. Partnership and solution design: Act as a strategic partner, engaging with C-level and technical leaders to co-innovate and design AI-centric solutions for both existing customers and potential new clients. New business intelligence: Leverage insights and success stories from the existing customer base to develop targeted new business strategies and compelling value propositions for prospective clients. Predictive risk management and retention: Utilize data-driven insights to monitor client health, proactively identify potential churn risks, and manage growth opportunities. Cross-functional collaboration: Partner closely with Sales on new business opportunities, and with Customer Success, Product, and Marketing to deliver a seamless, high-value experience that helps customers achieve their AI-driven goals. Performance monitoring and reporting: Track key metrics, including customer retention, expansion revenue, new business revenue, and pipeline performance, with a specific focus on growth driven by AI-focused initiatives. Knowledge, Skills and Abilities: Proven experience in a senior account management or sales leadership role, with a strong focus on both driving incremental revenue and acquiring new logo business. Deep understanding of the generative and agentic AI landscape, including customer use cases, market trends, and implementation challenges. Exceptional ability to engage and influence C-level and senior technical stakeholders by clearly articulating how AI-centric solutions drive business value. Experience developing and executing both account expansion and new business strategies that successfully incorporate AI and deliver measurable business outcomes. Excellent leadership, communication, and cross-functional collaboration skills. Requisite Education and Experience / Minimum Qualifications: 10+ years in account management, customer success, or sales leadership, including 3+ years leading teams. Experience in SaaS, AI/ML, or enterprise technology environments strongly preferred. Bachelor's degree in Business, Technology, or related field; MBA preferred. Compensation Statement The U.S. annual on-target earnings (OTE) range for this full-time position is between $280,000 and $380,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.