Domino Data Lab jobs

Sr. Data Scientist (REF39029K) Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: NAME OF EMPLOYER: Domino's Pizza, Inc. POSITION TITLE: Sr. Data Scientist POSITION LOCATION: 30 Frank Lloyd Wright Dr., Ann Arbor, MI 48105 HOURS: Full Time/40 hours JOB DUTIES: Develop and maintain accurate system level forecasts on weekly bases for US and international markets. Conduct thorough research on macroeconomic trends and industry developments to inform forecasting models and strategic planning. Analyze market segmentation and pricing strategies to identify opportunities to improve the forecasting accuracy. Partner with cross-functional teams to implement strategies that optimize sales and profitability. Contribute to team-wide code base and collaboratively test and merge work into production with business partners. Generate and present complex analyses to

Content Marketing Manager Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building Demand Generation is responsible for creating pipeline and managing all aspects of it - from the channels (email, digital, web, paid social) to the systems on which we build campaigns, and to the partnerships with our GTM teams, including Sales, RevOps, Customer Success, and Professional Services. This team connects strategy to execution to measurable pipeline outcomes. The Content Marketing Manager will own the words that power our demand engine as well

Enterprise Account Executive, Life Sciences Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The mission of the Life Sciences sales team is to position Domino as the unifying platform for Data Science & Scientific Computing across the enterprise and to support Domino's Life Sciences vertical expansion. Our main focus will be to meet senior leaders, uncover opportunities and execute a successful enterprise sales cycle. You will be helping Domino execute enterprise-level selling and engage more mid-senior stakeholders across R&D, Business & IT. What

Sr. Data Scientist- Digital Decision Science Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: The Decision Science team drives Domino's industry-leading growth by pairing strong business thinking with advanced analytics across data science, experimentation, and applied measurement. The team partners closely with Marketing, Loyalty, Product, and Technology to turn data into clear direction that improves customer engagement, loyalty health, and long-term retention. The Senior Data Scientist - Loyalty & Ecommerce Analytics plays a critical role in shaping how Domino's evaluates and evolves its loyalty and digital experience strategy. This role operates at the intersection of loyalty mechanics, promotions, and ecommerce behavior, delivering insights that inform campaign design, product decisions, and long-term customer value. This role works independently on complex,

Enterprise Customer Success Manager Remote US (East Coast) Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Customer Experience organization plays a key role in Domino's continued growth as a startup and ensuring we help our customers achieve their data science goals. As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing relationships with our company's clients. You will serve as the main point of contact for clients, ensuring their needs are met and their expectations are exceeded. Your

Enterprise Solutions Engineer Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building Our Solutions team is at the heart of transforming curiosity into confidence. We help prospects envision the full potential of our platform, guiding them from discovery to realization. Working closely with Enterprise Account Executives, our Solutions Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer implementations. As a growing company, our Solutions Engineers play a pivotal role-collaborating across Marketing, Product Management, and Engineering

Senior Quality Engineer Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building Our Quality Engineering team is at the center of how we ship software with speed and confidence. We're a small, highly focused group of engineers on a mission to raise the bar for quality across the entire engineering organization - not by slowing things down, but by embedding smart, scalable practices that make fast delivery more reliable. From CI/CD infrastructure to automated testing frameworks, we build the systems and standards that the

Strategic Sales Development Representative New York City, New York Who we are At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next. What we are building The Sales Development team at Domino is focused on supporting our org though both opportunity as well as talent pipeline. This is a pivotal role working between the territory sales teams, marketing, ops, and even product, to strategically identify and engage with our next customers. A successful Sales Development Rep (SDR) will be able to source outbound pipeline as well as qualify inbound leads within Enterprise companies. Beyond which, the ideal SDR will be able to positively influence their territory and the entirety of the Go To Market (GTM) team beyond their ability to source leads, while growing and eventually stepping up into other key roles on our team. What your impact will be - Through thoughtful research and prospecting techniques, you will team with your AEs to gain meaningful conversations within our targeted accounts - Our SDRs are expected to be our feedback loop

Quality Engineering Team Lead Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building Our Quality Engineering team is at the center of how we ship software with speed and confidence. We're a small, highly focused group of engineers on a mission to raise the bar for quality across the entire engineering organization - not by slowing things down, but by embedding smart, scalable practices that make fast delivery more reliable. From CI/CD infrastructure to automated testing frameworks, we build the systems and standards that

Engagement Manager Lead Remote US, New York City preferred Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building Domino's Solutions team is the customer-facing engine behind how leading enterprises build, scale, and govern AI-powered applications - solving real business challenges, not just deploying technology. Solutions Engineering earns technical credibility before the deal closes. Customer Engineering, where this role lives, owns everything after: adoption, implementation, expansion, and the kind of delivery that makes customers renew and grow. Global Support and SRE keeps it all running at the

Experience Manager Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Experience team owns the moments that shape Domino's brand. Rev (the flagship event), vertical executive boards, executive activations at marquee global moments, GTM Kickoff, and the Mid-Year Business Review. The function is delivering. We're scaling it. We're hiring an Experience Manager to own programs across this portfolio. Externally, the work deepens executive relationships, accelerates pipeline, and expands strategic accounts. Internally, it sharpens the GTM team, attracts talent, and builds cohesion. Both

Lead Data Architect (Semantic Layer) Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: Role Overview We are seeking a Senior Semantic Layer Data Architect to lead the design, implementation, and evolution of a centralized semantic layer on Databricks. This role enables governed, scalable, and reusable data products across the enterprise while ensuring metric consistency, trust, and business alignment. This position sits at the intersection of data architecture, analytics engineering, and governance, partnering closely with stakeholders across the enterprise. General Responsibilities Own and evolve the enterprise semantic layer strategy, including modeling standards, metric design, and governance patterns. Define and maintain conformed dimensions, canonical entities, standardized KPIs, and curated analytic views. Design and operate a trusted enterprise metrics layer to eliminate

Staff Software Engineer, Governance Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely. The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model

Staff Software Engineer, MDLC Remote US Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building The Model Development Lifecycle Team is building a cutting-edge platform to simplify the entire machine learning journey. From development and training to deployment and management, we empower teams to turn data into actionable insights. Our platform supports: - Seamless API Integration: Deploy models as APIs for consistent use across applications, whether on-premises, in enterprise infrastructures, or through third-party hosting. - Collaboration and Discoverability: Use our model registry to version, store, and

Staff Product Manager, AI Factory Remote US Who we are At Domino, we build software that helps the world's most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models - while managing costs, risk, and security. Our customers - like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. What we are building At Domino, we are reimagining what it means to build and operate AI at scale. As the Staff Product Manager for our “AI Factory,” you'll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems. Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience - from development and experimentation to model publishing and operationalization. As the industry's MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product

Staff Site Reliability Engineer Remote Argentina Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai What we are building As our infrastructure and customer footprint grow, we're investing in a new kind of SRE practice where the people who respond to incidents also build the systems that make future incidents shorter, rarer, and less painful. We're developing AI-assisted tooling that helps our support and engineering teams diagnose problems faster, learn from outages more deeply, and automate away the toil that slows everyone down. This role sits at the center

Manager, Enterprise Data Engineering Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: You are a technical engineering leader first. You can architect an end-to-end streaming solution, debug a complex Spark job in production, and present a data strategy roadmap to VPs - all in the same week. You don't just manage engineers; you make them better. You set the technical bar, own critical data domains, and serve as the go-to authority when the hardest problems land on the table. You will design, build, and scale the data pipelines that power Domino's - integrating batch and real-time data across Digital Commerce, Marketing, Supply Chain, and Finance to deliver trusted, high-quality data products that drive decisions at every level of the

Manager, Data Quality Engineering Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: As a Manager - Data Quality Engineering, you will lead the organization's data quality, quality engineering, and data analyst practice. This is a senior technical leadership role accountable for ensuring the reliability, trustworthiness, and operational excellence of data pipelines and data products across analytics, AI, and operational platforms. You will partner closely with Data Engineering, Platform, Analytics, Product, and Business teams to embed quality-by-design into data pipelines, implement automated testing and observability, and run production data operations. The role combines proactive quality engineering with hands-on operational leadership-ensuring data issues are detected early, resolved quickly, and prevented from recurring at scale. General Responsibilities: Leadership, Team Development & Practice

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Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that