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, 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.

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.

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 As a Senior Platform Engineer in our Global Infrastructure team, you will be part of a team whose mission is to provide Salsify with the infrastructure, services, and tools necessary to efficiently scale the platform and support the growth of the engineering organization. Working closely with the other software engineering teams you will focus on all phases from design to development to maintenance. You will solve complex business and scalability problems and work with the rest of the software engineering team on the direction of the platform. We deeply value our engineering culture. We strongly emphasize trust, mentorship, and collaboration. We care about building the right thing, the right way, and having fun while we do it. Every member of our team has the freedom and responsibility to make Salsify a great place to work. From architecting and designing to building elegant, scalable software, Salsify empowers our engineers to innovate while solving challenging problems. How You'll Make an Impact: Develop infrastructure automation and management solutions that focus on scalability, observability, automation, reliability, security, and a quality environment. Design, implement, and maintain solutions that empower engineering to deliver the best software possible while using the infrastructure efficiently and securely. Deliver internal infrastructure services such as monitoring, logging, and alerting to internal users. Expand and enhance our Kubernetes-based application environment. You'll Enjoy This Role If You Have: Bachelor's degree in a technical field such as computer science, computer engineering or related field, or equivalent experience. Experience with orchestration platforms, such as Temporal.io Experience with Configuration Management and Infrastructure Management systems such as Terraform. Practical and demonstrable skill writing testable, maintainable software with a programming language like Go, Ruby, or Python. Deep knowledge of core Cloud Hosting concepts such as IAM, DNS, Networking, Storage, etc. Deep experience with at least one Cloud Hosting platform (AWS, Azure) Experience with container-based runtimes and orchestration such as Docker and Kubernetes. Solid understanding of networking and distributed computing concepts. Experience with the GitOps and Infrastructure as Code concepts Experience working as part of a distributed team Excellent written communication skills. 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, 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.National Pay Range$150,000-$172,000 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. DataRobot is looking for enthusiastic, creative, motivated candidates to join us for an Internship. We recognize the value that Interns bring to our organization, and we want to offer you an opportunity to grow and develop your professional experience and competencies. What does it take? Research experience, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in major conferences or journals. Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). Interest in working with Generative AI, LLMs, and AI agents. Is this You? Currently enrolled in a PhD degree in Computer Science or related technical field. Experienced in one or more AI related areas such as Natural Language Understanding, Machine Learning, Deep Learning, Reinforcement Learning, or Prompt Engineering. Strong publication record demonstrating the ability to carry out novel independent research. Strong verbal and written communication skills. Ability to take initiative on projects and tasks and deliver on these. Team-oriented and eager to learn. What you get in return: We move fast and reward hard work. We expect results, and we love doing the work we're passionate about. Our employees have a voice in what we do! We continually challenge and support each other to find better, more robust solutions for customers and partners. After all, it's our customers that make us tick. We like to have fun along the way! We genuinely like each other and enjoy spending time together at company outings. We're global. We are an international company supporting international customers, and we know that regular collaboration across the globe is how the best ideas come about. We're committed to building a company culture where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where dedicated people of all cultures, perspectives, backgrounds, races, genders, religions, orientations, abilities, and ages can 10x their lives. Flexible time off - we trust you to take the time you need when you feel it is appropriate, given your workload and responsibilities. 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. Our AI Compute team is the engine at the heart of DataRobot. We have a mission to build and operate the foundational computing backbone that powers all of DataRobot's AI products and our customers' most demanding workloads. This team works backwards from the needs of data scientists, ML engineers, and application developers to provide the raw power and sophisticated orchestration required to train, deploy, and manage agentic AI at any scale. We are the internal equivalent of a hyperscale cloud provider's core compute service, obsessed with performance, efficiency, and enabling the future of AI. As a Staff Software Engineer in our AI Compute team, you'll be a technical expert and a force multiplier. You'll lead by example-rolling up your sleeves as a technical contributor to solve complex problems, shaping architecture, and mentoring engineers to do their best work and advance their careers. You'll work across our control plane systems, influence cross-team roadmaps, and bring pragmatic engineering practices into how we build, test, and operate infrastructure software. This role includes participation in an on-call rotation-we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention. Key Responsibilities: Build a system that ensures micro-services are secure, performant, reliable, and can go from idea to production in an hour. Build a system that continuously provides recommendations to right-size computing resources for Kubernetes to ensure efficient cloud spending for ourselves and our customers. Design and architect automated quality platforms to go from Enterprise-Grade releases from once-a-quarter to once-a-week to once-per-day to once-per-hour without sacrificing performance, security, or reliability Work with Product, Legal and Security to ensure the continuous delivery processes you build are compliant and secure Work with the team to ensure pipelines have clear playbooks and can operate 24/7 without you Work with a diverse group of architects and platform engineers across our R&D department to set continuous delivery and performance requirements for all production services Work with internal product managers to set roadmaps and define milestones to deliver innovative and simple solutions to our many teams' continuous delivery and platform engineering issues Knowledge, Skills and Abilities: Expert proficiency in Kubernetes architecture and operations including resource management/scheduling, auto-scaling, Gateway API/Ingress, Prometheus, and OpenTelemetry or experience with other orchestrators like nomad/slurm Experience with gpu clusters, either as a user or administrator or experience in multi-node AI/ML Passionate about developing products for your fellow internal developers. Experience setting technical direction, making architectural decisions, and driving consensus across multiple teams and stakeholders Able to influence others in the organization even where they lack explicit authority Proven track record for leading large-scale projects to completion across dozens of teams/Pods Experience mentoring senior engineers, fostering a positive team culture, and promoting continuous learning and improvement among colleagues Operational excellency to continuously define and improve SLA (Service Level Agreement) working backward from customer experience for all the software components this team manages. Requisite Education and Experience / Minimum Qualifications: 8+ years of experience Expert in developing a wide variety of software with Python (5+ years) Experience designing and operating diverse CI/CD pipelines with Harness.io Experience designing and innovating large-scale horizontal and vertically-scaled build, testing, and deployment systems for Kubernetes environments and familiarity with Helm charts Preferred: Golang, Terraform and Terragrunt Chronosphere Multi-cloud experience (AWS, Azure, GCP, and OpenShift) Nice to Have: Direct experience with modern distributed compute frameworks (e.g., Ray, Dask) and large-scale job schedulers (e.g., Slurm, Kueue). CKAD (Certified Kubernetes Application Developer) certification Publicly reviewable contributions to interesting development projects. Agentic AI experience Experience working with NVIDIA infrastructure in managing (NIM Operator, NVIDIA GPU Operator) 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 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 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 $220,000 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. 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.

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. Job Description The Data Scientist role in the Customer Engineering team plays a pivotal role at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We are looking for an experienced data scientist who excels in hands-on problem-solving, can lead technical initiatives, and can serve as a trusted advisor to both internal teams and customers. Your work will focus on designing, developing, and delivering production-ready AI solutions that accelerate customer adoption of the DataRobot platform, with a particular focus on SAP workflows. Beyond solution development, you will work directly with clients in various industries as the DataRobot product and data science subject matter expert. This role is ideal for a motivated data scientist with proven experience who wants to work hands-on with Python, pandas, and modern AI tooling while making a significant impact on customer success and AI adoption. If you thrive in a fast-paced, highly autonomous environment and want to build AI solutions that truly scale, we'd love to hear from you!Key Responsibilities: Design and develop sophisticated, production-ready assets that accelerate AI/ML adoption for customers, ranging from reusable solution templates to deployable frameworks. Lead the implementation of AI/ML workflows using Python, pandas, and modern AI tooling, ensuring they are scalable, maintainable, and customer-ready. Establish and champion engineering best practices to improve performance, scalability, and maintainability of AI/ML solutions. Work within existing infrastructure to support scalable AI deployments, including CI/CD automation, API integrations, and containerized environments (Docker, Kubernetes). Create comprehensive testing strategies and implement automated tests for AI/ML workflows. Lead cross-functional collaboration with product, sales, and marketing teams to scale high-impact solutions. Address complex real-world deployment challenges, including monitoring, logging, and improving reliability in AI/ML workflows. Serve as a technical liaison in customer engagements, representing the DataRobot product to various personas from data scientists to C-level executives. Lead proof of value processes and quantify the business impact of DataRobot solutions. Ensure the success of our customers by collaborating with business stakeholders to ensure that AI solutions deliver successful business outcomes Stay ahead of industry trends, continuously refining our approaches and advocating for best practices in AI/ML engineering. Work closely with enablement teams to develop documentation, content, and training materials that scale adoption of our solutions. What this Role is Not: A SWAT demo team - while you will be customer-facing, this role is about building reusable solutions, not one-off demos. A technical marketing role - you'll collaborate with marketing but won't be driving content strategy. A pure research role - we need hands-on builders who can ship working solutions that make an impact. Knowledge, Skills and Abilities: Strong Python ecosystem expertise with the ability to design, develop, and troubleshoot complex ML workflows using libraries like pandas, NumPy, scikit-learn, and web server tools like FastAPI. 3-5 years of experience in data science, machine learning, or AI development with a proven track record of delivering production solutions. Experience with ML model development, deployment, and evaluation. You should be comfortable leading data-to-insights projects and optimizing predictive models. Strong data engineering capabilities, including working with structured/unstructured data, feature engineering, and optimizing ML pipelines. Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability, scalability, and production readiness. Experience with software engineering best practices, including containerization (Docker), CI/CD automation, and cloud-based ML deployment. Experience with APIs, SDK development, or ML platform integrations. Proven experience in consultative sales processes in the data/analytics marketplace, with the ability to translate complex technical concepts into business value. Excellent communication skills, with the ability to influence stakeholders at various technical and business levels. Self-motivated, driven, and eager to take on challenges. We're looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment. Nice to Have: Experience with SAP workflows and integration points Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployment Strong knowledge of automated testing and test-driven development Familiarity with generative AI solutions like RAG, finetuning, etc. Experience with DataRobot platform or similar enterprise AI platforms Masters' degree in Data Science, Computer Science, or related field Experience presenting at conferences or creating technical content Why Join Us? Hands-on, high-impact work - you'll be building real, production-ready AI solutions that customers actually use. Small, elite team with direct influence - you'll work closely with product, engineering, and go-to-market teams to shape AI adoption strategies. Fast learning environment - we invest in our people, providing opportunities to grow and expand your skills. Clear career trajectory - whether you want to specialize in data science, transition into engineering, or take on leadership, we'll help you get there. Work on cutting-edge AI solutions that have real-world impact and are used by enterprises worldwide. This is a unique opportunity to build AI applications, ensuring that data scientists and developers can seamlessly create, customize, and deploy AI solutions at scale. If you're passionate about impacting the future of AI adoption, we'd love to hear from you. 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. We're seeking an inspirational and strategic Senior Director of Product Design to define the future of the DataRobot platform and scale our world-class design organization.This is a pivotal role for an experienced leader who can drive organizational excellence, establish platform-wide design standards, and operate as a key executive partner across Product, Engineering, and Business Development. The ideal candidate has deep expertise in managing large design teams within an enterprise B2B software environment, along with practical knowledge of the AI/ML domain and emerging agentic AI workflows. **What You Will Be Doing:** **This role moves beyond product-level execution to focus on organizational structure, cross-domain alignment, and strategic influence across the entire company.** + Design Vision and Standards (Platform-Wide): Articulate the overarching design vision, standards, and operating model for the entire Product Design team, ensuring processes and team structure are optimized to drive platform-wide experience consistency and business outcomes. + Organizational Health & Scaling: Take responsibility for the overall organizational structure, talent acquisition, and professional development of the design team. Ensure the team has the necessary skills, structure, and headcount to deliver a world-class experience across the entire DataRobot product portfolio. + Cross-Domain Alignment: Drive and own alignment across major product domains (e.g. build, govern and deploy capabilities), ensuring all product areas contribute harmoniously to a cohesive and elegant end-to-end user experience. + Strategic Design Practice Development: Act as a recognized thought leader in the ML/AI design space, defining and driving the strategic development of core design practices, the centralized design system, and global research operations. + Executive Advocacy and Influence: Represent Product Design to the executive leadership team and advocate for design thinking as a core process to solve complex business and technical challenges across all company capabilities. + Business Impact: Accountable for demonstrating the impact of design initiatives on key business metrics, such as user adoption, usage frequency, and customer retention, ensuring design creates a sustainable competitive advantage for DataRobot. + Design Culture & Identity: Actively shape the design team's identity and culture, fostering an inclusive, high-performing environment that attracts and retains top talent. + Mentorship and Growth: Cultivate the growth and career paths of design leaders (Directors and Principal Designers), ensuring they are equipped to scale their respective teams and product areas. + Company Values: Model and champion DataRobot's core values, proactively contributing to cross-domain team culture and company-wide strategic initiatives. **Ideal candidate:** + Experience: 10+ years of experience in Product Design, with at least 3+ years in senior management (Director level or above) overseeing large, distributed, and multi-disciplinary design teams. + Domain Expertise: Proven track record leading design for complex enterprise B2B software and a strong, practical understanding of AI/ML workflows and challenges. + Organizational Leadership: Demonstrated success in structuring, scaling, and optimizing a design team for maximum business impact and experience quality. + Communication: Exceptional ability to communicate and negotiate design strategy, resource allocation, and trade-offs with C-level and VP-level Product and Engineering partners. + Education: Bachelor's or Master's degree in Design, HCI, or a related field. **What will make you stand out:** **This isn't a strategy or people-management only role. We need a maker, a doer, a leader-someone who loves to partner and can lead through the work.** + Lead by doing: You set the standard for excellence and inspire teams to deliver their best work. You've shipped great software in ambiguous, fast-moving environments and know how to build momentum when the path isn't clear. You create the conditions for high performance and help teams navigate complexity with confidence. + Obsess about the details: Strong visual acuity matters. You know what great experiences look and feel like, and you can articulate how teams can get there. You demonstrate product sense in everything you touch. + Use AI to accelerate delivery: You actively use AI design and development tools in your workflow-whether for design exploration, prototyping, content generation, or code assistance. You've demonstrated how AI can compress timelines, elevate quality, and help teams work smarter. You're comfortable experimenting with new AI capabilities and teaching others how to integrate them effectively into their practice. + Understand code-first workflows: You have experience designing for technical, code-first platforms that blend CLI, API, and UI touchpoints. You think holistically about the user experience-understanding that great design spans visual interfaces, developer tools, documentation, and workflows. You know how to create cohesive experiences that serve both users who prefer code and those who need graphical interfaces. 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 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 VP, Pre-Sales Solutions - Americas is a strategic and customer-facing leadership role responsible for leading and scaling the Pre-Sales Solutions organization across North and South America. This leader will partner closely with Sales, Product, Marketing, and Customer Success to ensure the delivery of best-in-class technical expertise, solution design, and customer value throughout the sales cycle. The ideal candidate has deep technical acumen, strong business insight, and a proven ability to lead high-performing, geographically dispersed teams. Key Responsibilities: Lead and grow the Pre-Sales Solutions team across the Americas, including Solutions Engineers, Architects, and Industry Specialists. Define and execute the pre-sales strategy to support regional sales targets and enterprise growth. Align with Sales leadership to support pipeline generation, deal acceleration, and solution differentiation. Build and scale a repeatable technical sales motion, including POCs, demos, and value-driven solutioning. Develop frameworks, tools, and best practices to improve team productivity and performance. Serve as a strategic advisor to prospects and customers on solution architecture and ROI. Partner with Product and Marketing to ensure feedback loops, market alignment, and enablement. Build a culture of collaboration, continuous learning, and customer obsession. Track and report on key pre-sales metrics (conversion rates, cycle times, engagement impact). Support hiring, onboarding, and development of top pre-sales talent across the region. Qualifications: 10+ years of experience in pre-sales, solution engineering, or technical consulting; 5+ years in a senior leadership role. Proven experience scaling pre-sales or solutions teams in a high-growth SaaS or enterprise software environment. Deep understanding of complex B2B sales cycles and the role of pre-sales in driving value and differentiation. Strong technical acumen and the ability to translate business challenges into technical solutions. Exceptional leadership, communication, and stakeholder management skills. Experience working across North and South America; multilingual capabilities (e.g., Spanish or Portuguese) a plus. Bachelor's degree in a technical field; MBA or equivalent experience preferred. Ideal Candidate: Thrives in fast-paced, high-growth, startup environments Adept at building long-term, trust-based relationships Passionate about solving customer problems and driving mutual value Strategic and analytical thinking Customer-centric mindset Results orientation and execution excellence Adaptability and cultural sensitivity Collaborative leadership and team development Financial and commercial acumen This is a high-impact role for a driven, collaborative leader eager to influence business outcomes at scale. Compensation Statement The U.S. annual on-target earnings (OTE) range for this full-time position is between $300,000 and $375,000 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 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. 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 $220,000 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. 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. 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.