Data Engineer jobs at Zendesk - 25 jobs

and Our Quote to Revenue Team At Zendesk, we empower organizations worldwide to deliver better customer experiences with our best in class SaaS solutions. Our Quote to Revenue team plays a pivotal role in ensuring seamless processes from sales quoting, subscription billing, revenue recognition, and customer financial operations. We are at the forefront of transforming we manage recurring and usage based revenue streams by leveraging leading-edge technologies and innovative billing capabilities. As Zendesk expands our portfolio into emerging markets such as AI-driven offerings, our Quote to Revenue team is instrumental in scaling and evolving revenue systems that keep Zendesk competitive and agile. Position Summary Zendesk is seeking an exceptionally seasoned Staff Software Engineer to lead initiatives around our Zuora Billing, Mediation, and Revenue platforms. This lead role will partner closely with business stakeholders, product managers, and technical teams to architect, design, and implement enhanced billing solutions. You will be a critical player in driving transformation projects including Orders Actions, Order to Revenue (OTR), Metering, Native Ramps, Advanced Consumption Billing and more, all essential to supporting Zendesk's innovative go-to-market programs and AI offerings. This is a high-impact position requiring deep expertise in billing systems, revenue workflows, and a solid grasp of SaaS subscription lifecycle management. Responsibilities We are seeking a highly skilled Staff Software Engineer with in-depth experience in Zuora Mediation, RevPro and Zuora Billing to join our team. Lead requirements gathering, documentation, and prioritization for billing transformation projects including but not limited to Orders Actions, OTR, Metering, Native Ramps, and Advanced Consumption Billing models. Analyze business processes and challenges with a strategic mindset to design scalable, efficient billing and revenue recognition solutions. Drive implementation efforts by collaborating with cross-functional teams including Integrations, Product Management, Sales, Finance, Engineering, and Operations. Ensure alignment with compliance and revenue recognition standards, optimizing the integration of Zuora billing with financial systems. Facilitate testing, user acceptance, and rollout of new billing features and enhancements to minimize disruption and maximize adoption. Proactively identify improvement opportunities to support Zendesk's evolving AI-driven product portfolio and go-to-market strategies. Lead the configuration of Zuora Mediation, Billing and RevPro to meet business requirements Provide in-depth functional knowledge of Zuora Billing (subscription management, invoicing, payments) and RevPro (revenue recognition, compliance with ASC 606 and IFRS 15). Provide mentorship and guidance to junior engineers, analysts and team members focused on billing and revenue operations. Stay current with industry best practices, Zuora updates, and billing trends to continuously elevate Zendesk's Quote to Revenue capabilities. Skills and Experience 8+ years of experience in software engineering roles supporting SaaS billing and revenue operations. Deep expertise with Zuora Billing, Mediation, and Revenue Recognition modules, including design and configuration knowledge. Proven track record of delivering complex billing transformations such as Consumption Billing, Order to Revenue, Metering, Native Ramps. Strong understanding of SaaS subscription lifecycle, revenue recognition principles (ASC 606/IFRS 15), and compliance standards. Knowledge of integrating Zuora with other boundary systems (e.g., Salesforce CPQ, Salesforce CRM, Netsuite ERP, Avalara and financial reporting systems) Proficiency in business process modeling and tools like Lucid Chart, JIRA, Asana, or similar platforms for project tracking and management Experience working with cross-functional stakeholders in sales, finance, product management, and engineering. Excellent analytical, communication, and documentation skills with ability to translate complex concepts for both technical and business audiences. Ability to manage multiple high-impact projects simultaneously in a fast-paced, dynamic environment. Experience with Agile methodologies and collaboration tools. Prior experience or exposure to AI product billing models and emerging market monetization strategies is highly desirable. Bachelor's degree in Software Engineering, Business, Finance, Information Systems, or related field; advanced degree or relevant certifications are a plus. The US annualized base salary range for this position is $175,000.00-$263,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to *************************** with your specific accommodation request.

A leading technology company is seeking a Software Engineer for their Data & Analytics Platform. The role is remote and offers the opportunity to design, build, and optimize data infrastructure. Ideal candidates will possess 5+ years of software development experience and strong skills in data technologies like Spark and Kafka. This position values diverse experiences and offers competitive benefits, including health care and retirement options. #J-18808-Ljbffr

At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote‑first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Software Engineer on our Data & Analytics Platform About the job We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data‑driven initiatives. You will work closely with cross‑functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies. Responsibilities Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis. Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions. Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lake Formation, Glue, and Athena. Design and implement frameworks and solutions for performance, reliability, and cost‑efficiency. Ensure data quality, integrity, and security throughout the data lifecycle. Stay current with emerging technologies and best practices in big data technologies. Mentor early‑career engineers and contribute to a culture of continuous learning and improvement. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development or a related field. Strong proficiency in programming languages such as Python, Java, or Scala. Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems. Experience with AWS technologies at scale. Solid understanding of software engineering principles, including object‑oriented and functional programming paradigms, design patterns, and code quality practices. Excellent problem‑solving and analytical skills. Strong verbal & written communication skills, with the ability to work effectively in a cross‑functional team environment. Bias to action, ability to iterate and ship rapidly. Passion to build data products, prior projects in this area. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in‑person meetings. What We Offer There are many benefits to working at Twilio, including competitive pay, generous time‑off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $138,700 - 173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - 183,600. Based in the San Francisco Bay area, California: $163,100 - 203,900. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non‑discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isnt what you're looking for, please consider other open positions. Twilio is proud to be an Equal Employment Opportunity employer Twilio is proud to be an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local laws. Additionally, Twilio participates in the E‑Verify program in certain locations, as required by law. #J-18808-Ljbffr

Workiva is seeking a Staff Data Engineer to lead the implementation of high-value, data-driven features within our product domain. While our Platform team builds the underlying infrastructure, you are the expert consumer who transforms that infrastructure into tangible solutions for our customers. In this role, you will operate with significant autonomy to design and execute data solutions that power customer-facing applications, advanced analytics, and AI/ML features. You will act as a strategic partner to Product Owners and Application Engineers, ensuring that our data strategy is seamlessly integrated into the Workiva product experience. What You'll Do Domain Solution Leadership Drive Product Value: Architect and build high-performance data solutions that directly power customer-facing features, utilizing the internal data platform (Snowflake, dbt, Kafka). End-to-End Execution: Lead the design and delivery of complex data projects independently, from initial discovery with stakeholders to production deployment and monitoring. Stakeholder Alignment: Partner with Product Managers and Business Leaders to translate customer needs into technical data requirements, ensuring "Data-as-a-Product" excellence. Technical Integration & Evangelism Bridge the Gap: Work embedded with Application Engineering teams to advocate for upstream data quality and ensure application architectures support downstream data needs. Influence the Platform: Act as the "Lead Customer" for our internal Data Platform team-identifying gaps in the platform's capabilities and contributing to its strategic roadmap based on product requirements. Best Practices: Establish and evangelize standards for data modeling, observability, and performance within the product domain. Operational & Engineering Excellence Scalable Delivery: Design resilient, production-grade pipelines using DLT and Snowpipe that handle enterprise-scale workloads with low latency. Complex Transformations: Own the domain's dbt layer, ensuring code is modular, tested, and optimized for high-performance serving in Snowflake. Mentorship: Guide and elevate Senior and Mid-level engineers on the team through code reviews, design docs, and technical coaching. What You'll Need Minimum Qualifications 8+ years of experience in Data Engineering, with a strong emphasis on building solutions for customer-facing products or applications. Independent Execution: Proven ability to lead large-scale projects from concept to completion with minimal supervision, navigating ambiguity across multiple teams. Strategic Communication: Exceptional ability to evangelize data strategy to non-technical stakeholders and influence application engineers on data best practices. Preferred Qualifications Mastery of the Stack: Deep expertise in Snowflake, dbt, and Kafka for building real-world, high-value data products. Software Mindset: Strong Python and SQL skills, with a focus on building reusable libraries, automation, and CI/CD-driven workflows. Product Sense: Experience working in a SaaS product environment, understanding how data latency and accuracy impact the end-user experience. Data Modeling: Advanced understanding of modeling for both analytical (OLAP) and application-support (high-concurrency) use cases. Travel Requirements & Working Conditions For remote working opportunities, a stable internet connection is required Occasional travel may be needed for team meetings, conferences, or company events How You'll Be Rewarded ✅ Salary range in the US: $129,000.00 - $207,000.00 ✅ A discretionary bonus typically paid annually ✅ Restricted Stock Units granted at time of hire ✅ 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email *****************************. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-KP1

Come join the Global Business Solutions Group (GBSG) Sales Data Science team as a Staff Data Scientist. This role will be pivotal in shaping how we understand, grow, and retain our customer base. You will leverage data-driven insights to guide sales strategies, improve customer retention, optimize churn prevention, and enhance targeting efforts. The ideal candidate thrives at the intersection of data science and business strategy, collaborating closely with sales, marketing, and product teams to drive measurable impact on revenue growth and customer success. This is a high-impact role where your work will directly influence sales, product, marketing, and business model strategies. As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise-especially in sales analytics, causal inference and advanced analytics-will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth. **Responsibilities** + Drive Business Strategy through Data - Translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the Mid Market Sales Team + Cross-Functional Influence - Serve as the strategic data science partner to leaders across Sales, Marketing, Product, and Finance to drive mid-market account growth and expansion. Translate complex analytical findings into clear, compelling recommendations for executives and stakeholders. + Insights at Scale - Conduct deep-dive analyses on pipeline, win/loss, and customer lifetime value to inform strategic decisions. Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership. + Improve Customer Retention - Own retention and churn analytics, including designing metrics, identifying risk signals, and recommending interventions + Data Infrastructure & Governance - Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity. **Qualifications** + 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive sales growth ideally in Saas or financial technology companies serving consumer or B2B segments + Proven experience working with sales or go-to-market teams; deep understanding of customer retention, churn analysis, and sales optimization strategies + Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights + Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus + Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design + Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc. + S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California: $ 186,500- 252,000 Southern California: $ 179,000- 242,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Austin, TX, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 3 years of experience in a data science role, with machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions. + Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face). **Preferred qualifications:** + PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. + Experience with Large Language Models (LLMs), including application in solving business problems. + Experience in intelligent self-sustaining agents, including design, development, evaluation, and deployment. + Experience with cloud platforms (e.g., Google Cloud Platform) and AI/ML services related to LLMs and generative AI. + Experience in customer support or support-adjacent roles. + Excellent programming skills in Python or a similar language with the ability to translate data into actionable insights and communicate findings to technical and non-technical stakeholders. **About the job** As a Business Data Scientist, you will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with datasets to develop and deploy innovative AI/ML solutions, translating data into actionable strategies. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Drive customer success at scale while researching and integrating advancements in Large Language Models (LLMs), Generative AI, and AI agent architectures to continuously enhance our capabilities and foster innovation. + Lead development and deployment of advanced AI/ML solutions, with an emphasis on LLMs and intelligent self-sustaining, agents, addressing business issues. + Implement evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality). + Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability. + Identify and define AI/ML opportunities by collaborating with stakeholders to translate business needs into technical requirements and measurable outcomes. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Austin, TX, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. + 3 years of experience in data science, with a focus on time series analysis and forecasting. + Experience in causal inference, A/B testing, statistical modeling, or machine learning. + Experience with a range of forecasting methods, from classical statistical models to machine learning approaches. **Preferred qualifications:** + 4 years of experience deploying and maintaining forecasting models in a live production environment. + Experience with recent advancements in forecasting, such as foundation models (TimesFM) or deep learning approaches. + Experience in a demand planning, contact center, or operational workforce management role. + Familiarity with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services (e.g., BigQuery, Vertex AI). + Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events. **About the job** In this role, you will be responsible for developing and maintaining the models that predict our customer support case volume. Your work will be a critical input for the organization's staffing, budgeting, and planning, directly impacting our ability to deliver exceptional customer support at scale.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Develop, deploy, and maintain time series forecasting models to predict customer support case volumes across various products, regions, and channels. + Build and automate scalable data pipelines to ensure timely and reliable data for model training and inference. + Monitor and evaluate model performance, dealing with key accuracy metrics, identifying model drift, and ensuring forecast reliability. Research and implement forecasting techniques to continuously improve model accuracy and capabilities. + Partner with Operations, Finance, and leadership stakeholders to understand their planning needs, deliver forecasts, and explain variance drivers. + Communicate forecast results and uncertainty to both technical and non-technical audiences to guide strategic decision-making. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA. Minimum qualifications: * Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. * 3 years of experience in a data science role, with machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions. * Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face). Preferred qualifications: * PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. * Experience with Large Language Models (LLMs), including application in solving business problems. * Experience in intelligent self-sustaining agents, including design, development, evaluation, and deployment. * Experience with cloud platforms (e.g., Google Cloud Platform) and AI/ML services related to LLMs and generative AI. * Experience in customer support or support-adjacent roles. * Excellent programming skills in Python or a similar language with the ability to translate data into actionable insights and communicate findings to technical and non-technical stakeholders. About the job As a Business Data Scientist, you will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with datasets to develop and deploy innovative AI/ML solutions, translating data into actionable strategies. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Drive customer success at scale while researching and integrating advancements in Large Language Models (LLMs), Generative AI, and AI agent architectures to continuously enhance our capabilities and foster innovation. * Lead development and deployment of advanced AI/ML solutions, with an emphasis on LLMs and intelligent self-sustaining, agents, addressing business issues. * Implement evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality). * Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability. * Identify and define AI/ML opportunities by collaborating with stakeholders to translate business needs into technical requirements and measurable outcomes.

Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA. Minimum qualifications: * Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. * 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. * 3 years of experience in data science, with a focus on time series analysis and forecasting. * Experience in causal inference, A/B testing, statistical modeling, or machine learning. * Experience with a range of forecasting methods, from classical statistical models to machine learning approaches. Preferred qualifications: * 4 years of experience deploying and maintaining forecasting models in a live production environment. * Experience with recent advancements in forecasting, such as foundation models (TimesFM) or deep learning approaches. * Experience in a demand planning, contact center, or operational workforce management role. * Familiarity with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services (e.g., BigQuery, Vertex AI). * Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events. About the job In this role, you will be responsible for developing and maintaining the models that predict our customer support case volume. Your work will be a critical input for the organization's staffing, budgeting, and planning, directly impacting our ability to deliver exceptional customer support at scale.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Develop, deploy, and maintain time series forecasting models to predict customer support case volumes across various products, regions, and channels. * Build and automate scalable data pipelines to ensure timely and reliable data for model training and inference. * Monitor and evaluate model performance, dealing with key accuracy metrics, identifying model drift, and ensuring forecast reliability. Research and implement forecasting techniques to continuously improve model accuracy and capabilities. * Partner with Operations, Finance, and leadership stakeholders to understand their planning needs, deliver forecasts, and explain variance drivers. * Communicate forecast results and uncertainty to both technical and non-technical audiences to guide strategic decision-making.

Minimum qualifications: Bachelor's degree in Computer Science or IT related fields, or equivalent practical experience. 3 years of experience with systems automation, systems design and implementation. 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred qualifications: 3 years of experience working with vendors or customers. About the job Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don't just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it's hard to control what you can't measure - so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. Our team is building the future of at scale computing by delivering a groundbreaking, on-premises AI supercomputer the next evolution of Google's AI accelerators hardware. This is a rare opportunity to join a special project team creating a novel solution for customers with sophisticated security and locality requirements. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Contribute significantly to the strategic goal for the Hybrid and on-prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives. Collaborate with product and go-to-market leaders to implement strategies for our migrate, modernize, and workload efforts. Work with peer engineers and managers within Google teams and external partners to influence product and team direction. Partner with internal cross-functional organizations and external vendors and partners. Contribute to customer advocacy by understanding user needs and helping to deliver solutions that delight and empower users.

_corporate_fare_ Google _place_ Addison, TX, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in Computer Science or IT related fields, or equivalent practical experience. + 3 years of experience with systems automation, systems design and implementation. + 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting). **Preferred qualifications:** + 3 years of experience working with vendors or customers. **About the job** Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don't just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it's hard to control what you can't measure - so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. Our team is building the future of at scale computing by delivering a groundbreaking, on-premises AI supercomputer the next evolution of Google's AI accelerators hardware. This is a rare opportunity to join a special project team creating a novel solution for customers with sophisticated security and locality requirements. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Contribute significantly to the strategic goal for the Hybrid and on-prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives. + Collaborate with product and go-to-market leaders to implement strategies for our migrate, modernize, and workload efforts. + Work with peer engineers and managers within Google teams and external partners to influence product and team direction. + Partner with internal cross-functional organizations and external vendors and partners. + Contribute to customer advocacy by understanding user needs and helping to deliver solutions that delight and empower users. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Computer Science or IT related fields, or equivalent practical experience. * 3 years of experience with systems automation, systems design and implementation. * 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred qualifications: * 3 years of experience working with vendors or customers. About the job Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don't just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it's hard to control what you can't measure - so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. Our team is building the future of at scale computing by delivering a groundbreaking, on-premises AI supercomputer the next evolution of Google's AI accelerators hardware. This is a rare opportunity to join a special project team creating a novel solution for customers with sophisticated security and locality requirements. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Contribute significantly to the strategic goal for the Hybrid and on-prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives. * Collaborate with product and go-to-market leaders to implement strategies for our migrate, modernize, and workload efforts. * Work with peer engineers and managers within Google teams and external partners to influence product and team direction. * Partner with internal cross-functional organizations and external vendors and partners. * Contribute to customer advocacy by understanding user needs and helping to deliver solutions that delight and empower users.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Atlanta, GA, USA; +11 more; +10 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA** . **Minimum qualifications:** + PhD degree in Computer Science, or a related field, or equivalent practical experience. + Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang. + Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. **Preferred qualifications:** + Research experience in algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or systems. + Experience in designing and implementing a complex system, for production or experimental use. + Experience with performance, reliability, systems data analysis, visualization tools, or debugging. + Ability to start full-time role in 2026. + Excellent engineering skills. **About the job** Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure (***************************** , Cloud , and more! Our Engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward. Google is one of the world's leading suppliers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Participate in or lead team projects to carry out design, analysis, and development of advanced systems across the stack, using your research expertise. + Write documents that set new technical directions. Contribute to existing documentation or educational content, and adapt content based on product/program updates and user feedback. + Study, diagnose and resolve complex technical issues by analyzing the sources of the issues and the impact on software, hardware, network, or service operations and quality. + Develop code, review code developed by other developers, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA. Minimum qualifications: * PhD degree in Computer Science, or a related field, or equivalent practical experience. * Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang. * Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. Preferred qualifications: * Research experience in algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or systems. * Experience in designing and implementing a complex system, for production or experimental use. * Experience with performance, reliability, systems data analysis, visualization tools, or debugging. * Ability to start full-time role in 2026. * Excellent engineering skills. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure, Cloud, and more! Our Engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward. Google is one of the world's leading suppliers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Participate in or lead team projects to carry out design, analysis, and development of advanced systems across the stack, using your research expertise. * Write documents that set new technical directions. Contribute to existing documentation or educational content, and adapt content based on product/program updates and user feedback. * Study, diagnose and resolve complex technical issues by analyzing the sources of the issues and the impact on software, hardware, network, or service operations and quality. * Develop code, review code developed by other developers, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join us as Staff Software Engineer for Twilio Stytch's Agent team and help build the future of agent identity. You will be a foundational member of a team pioneering the next generation of authentication, verification, and identity solutions that will empower AI developers and protect users globally. About the job You will help scale Stytch's core product as we bring Stytch capabilities to Twilio's full customer base, delivering secure, developer-first identity experiences. You'll design and lead implementation of systems that power authentication, authorization, and emerging agentic and non-human identity use cases. You'll partner closely with product and engineering leadership to set direction, deliver high-impact features, and evolve our platform for Twilio's scale. This is a rare chance to operate like a startup within Twilio: you'll work in a high-ownership environment with startup speed, backed by Twilio's reach and scale. We're seeking a talented Staff Engineer who brings deep hands-on technical expertise, a strategic mindset, and a passion for building secure, developer-first experiences. You'll thrive in this role if you excel at navigating ambiguity, enjoy tackling complex technical challenges from scratch, and can make critical architectural decisions that will shape the foundation of our new identity platforms. Responsibilities In this role, you'll: Build and own product capabilities for Stytch's agentic identity platform on Twilio. Design, implement, and maintain scalable, reliable distributed services, optimizing for security, latency, and developer experience. Partner with Product and Engineering leadership to set direction, translate customer needs into technical plans, and deliver high-impact roadmap features. Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities, and unblock cross-team initiatives. Write clean, maintainable, and well-tested code, setting a high bar for technical excellence across the team. Own the end-to-end lifecycle of new services, from initial design and prototyping through to production deployment and operational readiness. Mentor other engineers on the team, fostering a culture of innovation, ownership, and continuous learning. Communicate complex technical concepts effectively to diverse audiences, from fellow engineers to executive leadership. Stay at the forefront of industry trends and emerging threats in identity and authentication to ensure our products are secure and innovative. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 7+ years of experience building and operating highly scalable, distributed systems, with a focus on security, reliability, and performance. Experience working with agents and/or LLMs. Strong hands-on coding skills and a willingness to dive deep to solve complex problems. Demonstrated expertise in designing and implementing resilient, fault-tolerant systems. Experience making high-impact technical decisions and leading technical initiatives. A proven track record of driving technical excellence while keeping customer needs at the center of your work. Deep understanding of software engineering best practices, including monitoring, observability, and building for the long term. Exceptional communication and collaboration skills, with the ability to influence and align stakeholders. Experience mentoring engineers and elevating the technical capabilities of a team. Degree in Computer Science or a related field, or equivalent work experience. Desired: Experience building 0-to-1 products or working in a startup environment. Deep experience with identity and access management, modern authentication protocols, and security architecture. Knowledge of technologies like OAuth, SAML, OIDC, WebAuthn, passkeys, and zero-trust security principles. Familiarity with modern verification techniques, including biometrics, document verification, and risk-based authentication. Background in developing APIs and SDKs with a strong focus on developer experience. Familiarity with Go, Kubernetes, and DynamoDB Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $167,800 - $209,700. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $177,700 - $222,100. Based in the San Francisco Bay area, California: $197,400 - $246,700. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 19th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform About the job We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in data systems, strong leadership skills, and a proven track record of delivering complex data projects at scale. Responsibilities In this role, you'll: Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies. Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices. Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning. Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions. Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8+ years of experience in software development, or a related field. Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems. Experience designing, building, and operating large-scale systems using AWS technologies. Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail. Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats. Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams. Strong leadership skills, with a track record of mentoring and developing junior engineers. Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines. Desired Contributions to OSS projects is a bonus Familiarity with data modeling, data warehousing, and ETL processes is a plus. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $167,800 - $209,700. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $177,700 - $222,100. Based in the San Francisco Bay area, California: $197,400 - $246,700. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion mean that no matter your location, you're part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. About the job This position is needed to lead the development of innovative backend within our Catalog Platform team. As a Software Engineer, you will play a crucial role in expanding and enhancing our product catalog capabilities, ensuring seamless sales operations and minimal business friction. You will also tackle complex pricing configurations for over 305,000 active customers and handle the processing of more than 1 billion price transactions daily. Responsibilities In this role, you'll: Design and implement scalable and robust backend services using Java, Scala, and Python. Develop dynamic frontend interfaces using React and Node.js. Collaborate with product managers and architects during the product discovery phase to align technical solutions with business needs. Lead the API design and architecture to improve system integration and performance. Manage cloud-based services and infrastructure to ensure high availability and fault tolerance. Optimize database interactions and data storage solutions for high throughput and efficiency. Handle the processing and analysis of over 1 billion price transactions daily. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Strong proficiency in programming languages such as Java, or similar. Strong understanding of API development frameworks, system architecture, and backend development. Experience with distributed cloud services, microservices architecture, and cloud infrastructure. Solid knowledge of database management and data-driven application development. Excellent problem-solving skills and ability to work under tight deadlines. Strong communication skills and experience interacting with both technical and non-technical stakeholders. Desired: 4-5 years of proven experience in Java, Python, React, and Node.js. Experience with high-volume e-commerce systems and complex pricing models. Familiarity with handling large-scale data (processing and storage). Proven ability to work collaboratively in a cross-functional team. Location This role will be remote, based in the USA but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Please note this role is open to candidates outside of the San Francisco Bay Area. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - 173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600. Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until January 30th, 2025 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Software Engineer on our Data & Analytics Platform About the job We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies. Responsibilities In this role, you'll: Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis. Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions. Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena. Design and implement frameworks and solutions for performance, reliability, and cost-efficiency. Ensure data quality, integrity, and security throughout the data lifecycle. Stay current with emerging technologies and best practices in big data technologies Mentor early in career engineers and contribute to a culture of continuous learning and improvement Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development or a related field. Strong proficiency in programming languages such as Python, Java, or Scala. Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems. Experience with AWS technologies at scale Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices. Excellent problem-solving and analytical skills. Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment. Desired: Bias to action, ability to iterate and ship rapidly Passion to build data products, prior projects in this area Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - 173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600. Based in the San Francisco Bay area, California: $163,100 - 203,900. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Software Engineer (L3) About the job We are looking for a talented Software Engineer to join our Messaging team. We are searching for engineers that take pride in delivering quality products and are enthusiastic about technology and strive for the opportunity to learn and share their knowledge. You'll help us build and scale systems that support the core Messaging and Media functionalities in a rapidly evolving market and to provide a trusted experience to our customers. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of messaging use-cases. You will work closely with cross-functional teams to understand business requirements, design and implement reliable, scalable solutions for our Messaging Platform. About You: Will bring your unique set of diverse experiences and background to our team in an open and collaborative manner so that we can all expand and grow faster. Have a desire to leverage your expertise but also dive into lesser known areas of technology, architecture, or whatever is needed to solve engineering day-to-day challenges. Have an open and honest communication style that always puts the customer first “Will the customer be delighted with this?”. Are comfortable dealing with ambiguity and a shifting landscape. Are curious, willing to learn, share and improve. You have a strong sense of ownership and accountability for the product you are delivering. Responsibilities In this role, you'll: Design and build large-scale distributed messaging and media systems with a focus on reliability, availability, scalability and performance. Work closely with stakeholders and product teams to gather business requirements and translate them into effective technical solutions. Own your code end-to-end from development to deployment and provide operational support through on-call rotations. Take ownership of troubleshooting and resolving operational issues, with opportunities to enhance existing troubleshooting processes and tools. Participate in the refinement of the team's ticket backlog, estimating work and follow Agile ceremonies. Mentor early in career engineers and contribute to a culture of continuous learning and improvement. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's Degree in CS or related field or equivalent working experience. 5+ years of related software development experience shipping multiple products / services. Proficiency in one or more programming languages including Java, Scala, C, C++ and advanced concepts like asynchronous programming, multi-threading etc. Experience in AWS cloud solutions, Kubernetes/EKS, CI/CD pipelines like Buildkite & containerization frameworks like Docker. Experience with asynchronous communication patterns like Kafka, SQS, RabbitMQ etc Experience with relational and non-relational databases, SQL queries, query optimizations and ETL tools. Experience designing and implementing large scale solutions. Experience working in distributed and concurrent systems. Experience with Testing & Automation. Proficiency in debugging production infrastructure and services. Curiosity and interest in learning new programming languages and frameworks. Ability to work independently and as part of a team. Working in agile teams or startup environments with strong customer focus. Commitment for engineering practices that ensure safe and fast paced releases of services. Demonstrated organizational agility, cross-team collaboration, commitment for results, and excellent written and verbal communications. Desired: On-call experience debugging large scale distributed systems. Experience with Devops infrastructure, specifically IaC tools like Terraform and ArgoCD. A strong plus if you have prior experience with MMS/SMS/RCS messaging protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation " *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above." The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700.00 - $173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800.00 - $183,600.00. Based in the San Francisco Bay area, California: $163,100.00 - $203,900.00. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until June 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.