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 primary goal will be to maximize client satisfaction, retention, and revenue generation.

What your impact will be

• Represent Domino during a pivotal period in the customer’s lifecycle; understand and speak to Domino's value proposition in an increasingly competitive and crowded market
• Drive conversations and kick start migration conversations to drive Domino Cloud adoption among VPC and Onprem existing customers
• Work closely with the Scaled CS team to automate CS initiatives and bring a digital experience to listed accounts (roadmap updates, education updates, events, surveys)
• Demonstrate your Domino product expertise and ML Ops / AI knowledge to have meaningful, consultative conversations with customers throughout their renewal process
• Leverage data and insights alongside your understanding of the customer’s goals to prescribe commercial terms that align with the needs of the business
• Identify and secure upsell opportunities where applicable, whether at renewal or mid-cycle
• Partner with the Sales Team to ensure on-time delivery of customer renewals without compromising the customer experience along the way
• Maintain and report an accurate forecast for all renewals in your portfolio
• Communicate to the business risks identified and develop resolution strategies, escalating wherever appropriate

What we look for in this role

• 3+ years in a client-facing, pre or post-sales role
  • Customer Success Manager, Account Manager, Project Manager
  • Preferably in a SaaS/AI environment
  • Experience in relevant products in the market such as Cloudera, Databricks, Sagemaker, Google, SAS or other MLAnalytics Solutions, Docker, Kubernetes

• Multi-tasking: you will manage ~10 accounts, sync with the Digital Experience, PS and Support teams within our org and Sales, Product, Eng etc. for overall customer and company success
• Technical aptitude to understand Domino's portfolio
• Customer management - drive customers through success ensuring retention and expansion
• High level of comfort speaking with executives and procurement at Enterprise companies
• Proven track record of exceeding goals
• Desire to work in a fast-paced, collaborative environment with peers who challenge you to grow
• Bias toward action
• SFDC and CRM tools proficiency

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

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

Solution Engineers are highly skilled technical professionals possessing an in-depth understanding of Kubernetes, Linux, and Cloud systems. Their expertise extends to the Domino platform, which they leverage to guide and optimize the AI strategies of their customers. These engineers take a holistic approach to their work, recognizing that successful AI implementation goes beyond technical proficiency. They focus on people and processes, collaborating closely with customers to design and implement solutions that align with their unique business needs. This involves a wide range of activities, including the implementation, enhancement, integration, and customization of Domino deployments. By taking a customer-centric approach and focusing on delivering tangible business value, Solution Engineers play a critical role in ensuring the success of every customer engagement. They are not simply technical implementers, but rather, they are trusted advisors and value creators who help customers navigate the complexities of the AI landscape and achieve their business objectives.

What your impact will be

• Build custom solutions for customers that integrate with Domino to enhance the customer experience. The solutions built should be well documented, tested, and the rest of the PS team should be enabled on the solution
• Collaborate with the larger Domino team to ensure that the customer's voice is being heard with regards to feature or bug prioritization as well as feedback on the platform
• Create reproducible artifacts that address recurring client needs, enhancing efficiency and consistency in our delivery process. These artifacts should follow best practices, be tested in various scenarios, and have thorough documentation
• Regularly solicit feedback from customers regarding the quality, effectiveness, and relevance of solutions delivered. Use this feedback not only as a metric of personal success but also as a means to identify areas of improvement, ensuring that the solutions provided align perfectly with client needs and expectations

What we look for in this role

• 5-10+ years professional experience with customer facing technical role in pre-sales, professional services, consulting or customer success preferred
• Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements
• Technical depth to scope solutions, ability to create production ready code (Python preferably)
• Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows
• Experience running or supporting benchmarks for ML inference deployments

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

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 to bridge the gap between market needs and product innovation. If you thrive in an environment where your technical expertise fuels real business impact, and where your insights help shape the future of our platform, you’ll feel right at home here.

What your impact will be

• Lead technical evaluations and demonstrations of the Domino platform for Enterprise customers in a multitude of industry verticals
• Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure
• Collaborate with account executives to craft solution architectures that meet industry-specific security and compliance standards
• Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles
• Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment
• Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key prospect accounts

What we look for in this role

• Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work
• Experience with Enterprise customers, understanding their procurement processes, compliance constraints, and security environments
• Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise software deals
• Experience working in complex IT environments, including hybrid or air-gapped systems
• Proficiency in Python, R, and modern data science / machine learning tools
• Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, Azure, GCP), and networking concepts
• Understanding of the end-to-end AI lifecycle, from experimentation to production

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

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 rest of engineering depends on to move quickly without breaking things.

We're investing in modernizing our pipelines, expanding our automation coverage, and evolving our culture around quality ownership. The person in this role will shape what that evolution looks like by setting the technical direction, mentoring a growing team, and acting as the connective tissue between Quality Engineering and the broader product and engineering organization.

What your impact will be

In your first year, you will:

• Own our CI/CD systems end-to-end: audit the current state, redesign where needed, and drive measurable improvements in pipeline reliability, build/test cycle time, and overall developer experience within the first six months
• Lead the adoption of standardized QE practices and testing frameworks across engineering teams, reducing inconsistency in coverage and establishing a shared standard for quality across the organization within your first year
• Drive increased automation of QE processes using AI-assisted tooling (such as Claude, Codex, or Cursor), accelerating development velocity while maintaining rigorous standards
• Lead, mentor, and grow a team of 1–3 Quality Engineers:  supporting their technical development, career growth, and day-to-day effectiveness, with a goal of visibly improving team velocity and reducing defect escape rates
• Partner closely with Engineering and Product to shift quality earlier in the development lifecycle, building a culture where defect prevention is prioritized over defect detection
• Establish structured knowledge sharing and process documentation that enables the team to scale its impact beyond its headcount

What we look for in this role

• Proven track record owning and operating CI/CD systems at scale using tools such as CircleCI, GitHub Actions, or equivalent. This includes hands-on experience redesigning pipelines for reliability and speed
• Deep expertise in CI/CD tooling and infrastructure, with the ability to independently evaluate, modernize, and scale systems to meet evolving engineering needs
• Strong proficiency in test automation frameworks (such as Playwright, Selenium, or equivalent) paired with a clear, defensible philosophy around test strategy and coverage.
• Solid background in Quality Engineering or Software Development in Test (SDET), including experience designing and implementing test automation frameworks from the ground up
• Demonstrated use of AI-assisted coding tools (e.g., Claude, Codex, Cursor) to automate testing practices and accelerate engineering workflows.
• Excellent cross-functional communication and collaboration skills; you are equally comfortable working as an individual contributor and stepping into a leadership role as the quality voice across the engineering
• Prior experience leading or mentoring a small engineering team, even informally 

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

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 with marketing by dutifully following up on and qualifying inbound leads, then teaming with various marketing leads to improve future campaigns
• No one has more conversations with our market than the SDRs.  As a result, this team is a lead for market insights and feedback.  We will be continually iterating.  Wanting to experiment white being diligent about data collection and hygiene is a must
• We’re looking for builders with an ownership mindset.  Your primary job is to find our next customers, but we want team members wanting to make their mark on our greater org as well.  This could be influencing the rest of the SDR org, building new processes, creating new messaging, or honing our sales processes

What we look for in this role

• SDRs at Domino must posses the prospecting skills to identify and earn conversations with potential buyers at some of the largest companies in the world
• Must be able to research into and hold conversations with executive level IT and Data Science personas about business impact and complex technical concepts
• At Domino, sales is a team sport.  Must be able to learn from and teach your teammates while looking for ways to contribute to the greater goal even beyond your KPIs
• This is a valuable role for us.  We’re expecting teammates to continually grow and develop themselves in this role as well as the next

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work. 
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything. 
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

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 your impact will be

• Develop deep understanding of your accounts, including: data science initiatives and how Domino solutions align to them, key stakeholders, competitors, partners
• Open and maintain relationships with executives at the Director, Exec Dir, VP and C-level. Specifically, have natural text-message communications with at least 2-3 people
• Uncover opportunities for the customer/prospect to use Domino software, set the selling strategy and execute on the sales cycle
• Contribute meaningfully in building our Life Sciences business by generating $7.5m-$10m in pipeline by the end of FY27
• Close $2.5M+ of new ARR by the end of FY28
• Position Domino for success in the account by properly aligning our people to the customer. Specifically making it clear how product management, services, sales and executive leadership engage with the customer
• Manage and communicate with the customer-specific ecosystem of partners and competitors

What we look for in this role

• 5-10 years sales experience, preferably selling Enterprise platforms into the Life Sciences market
• Understanding of the Life Sciences market and how different parts of their business work  
• Enterprise sales experience - getting complex, multi-million dollar deals through evaluation, negotiation and approval 
• Proven track record meeting with senior leaders (VP-level) within Enterprise Life Sciences market
• Track record of securing $1M+ software contracts 
• Business acumen to articulate how complex solutions map to customer initiatives 
• Experience successfully finalizing negotiations on complex Enterprise software deals
• History of positioning a new solution in an unproven area
• Understanding of AI/ML technologies 
• Prospecting - using cold-call techniques to open conversations in new areas of an account

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

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 Principal 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 to meet the emerging needs of our customers.

Your mission? To define and execute the next chapter of Domino’s “AI Factory.” You'll be responsible for driving the strategy and vision that elevates our platform’s capabilities, empowering our customers to build, deploy, and manage cutting-edge AI systems with greater ease and efficiency. 

What your impact will be
Some specific focus areas will include:

• Advancing our novel Governance feature set to integrate model validation/review into the model development lifecycle. Drive breakthrough innovations (e.g., automated model documentation) as well as modern implementations of longstanding industry requirements (e.g., attestation, periodic revalidation).
• Lead the development of the next generation of MLOps capabilities, ensuring that Domino continues to offer cutting-edge solutions for the AI lifecycle
  • Evolve our platform to better support Generative AI models and advanced AI systems
  • Expand and enhance our MLOps capabilities, enabling customers to streamline their AI workflows
• Increase integration and coherence across our platform, accelerating the time it takes for AI projects to move from inception to production

What we look for in this role

• 5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc.)
• Deeply plugged into the AI/ML ecosystem, with a passion for engaging the broader community. You’re comfortable speaking at conferences, contributing to discussions, and have a clear point of view on the future of AI and data science
• Strategic thinker with commercial acumen: You excel at crafting product strategies that align with both customer needs and broader market trends, always with a focus on driving business growth
• Expertise in DS/AI workflows and ecosystems, with a comprehensive understanding of the tools, platforms, and methodologies that power modern machine learning and AI
• High standards for product quality: You have a strong sense of taste and are discerning when it comes to design and user experience, ensuring that everything we ship is of exceptional quality
• Strong technical proficiency: With a background in computer science or a related field, you’re comfortable working closely with engineers, brainstorming approaches, and discussing technical trade-offs
• Enterprise customer intuition: You bring strong communication skills and practical judgment when engaging with enterprise clients, having collaborated on enterprise sales and customer interactions in the past
• Nice to have: Experience in the financial services industry

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work. 
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything. 
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

#LI-Remote

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

We help F100 Life Sciences organizations envision the full potential of our platform, guiding them from discovery to realization. Our Solutions Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer deployments.

What your impact will be

• Engage deeply with the technical problems customers are trying to solve — taking the time to genuinely understand their workflows, constraints, and frustrations before proposing anything. The goal is always to find the best solution for the customer, not to fit them to a predetermined answer.
• Design and run hands-on proof-of-concept projects tailored to each customer's environment: model development for drug discovery, clinical analytics pipelines, regulatory submission workflows, omics data processing, and similar use cases.
• Work with account executives to design architectures that address life sciences-specific requirements around data governance, reproducibility, and validation (e.g., 21 CFR Part 11, GxP environments).
• Proactively identify novel use cases within life sciences customers where Domino could create meaningful value — drawing on industry knowledge to surface opportunities that customers may not have considered and that go beyond the initial scope of an engagement.
• Build and maintain reusable technical environments and assets that make future customer engagements faster and more substantive.
• Partner with Customer Success and Solutions Architects to make sure customers who complete a POC are set up to succeed in production.
• Build custom prototypes and applications on top of Domino for customers — using AI-assisted coding tools to move quickly — to demonstrate value in ways that go beyond standard demos. This reflects our directional shift toward Forward Deploy Engineering as a growing part of field work over the next 12 months.
• Success is most visible when customers come away from technical engagements with a clear understanding of how Domino solves their problems — and when those engagements convert to production deployments.

What we look for in this role

• A technical background in life sciences — you will have worked inside a pharma, biotech, CRO, genomics, or medical device organization doing code-first analytical or scientific work. You understand what it actually feels like to build and run things in that environment.
• Working knowledge of at least one life sciences domain — drug discovery, clinical development, computational biology, manufacturing/QC, or regulatory data management. Credible in front of scientific stakeholders without needing to be a domain expert.
• Platform or tooling ownership experience — ideally you’ve built, operated, or meaningfully contributed to an internal platform or shared scientific computing environment. You’ve influenced or helped shape how that platform served its users, even without a formal product owner title.
• Experience in a solutions engineering, pre-sales, or customer-facing technical role — or equivalent internal/consulting work where the job was diagnosing technical problems and helping others solve them, not just executing defined tasks.
• You’ve led or contributed to technical evaluations, pilots, or proof-of-concepts — whether at a vendor, internally, or as a consultant — that drove meaningful adoption or investment decisions.
• Demonstrated ability to build: you’ve written production or near-production code to solve a real scientific or operational problem. Experience creating internal tools, pipelines, or applications for scientific teams is a strong signal.
• Proficiency in Python and/or R; hands-on experience with the data science and ML tools used in life sciences technical work. Familiarity with how models get built, validated, and moved toward production in a regulated context is a plus.

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

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 Automation Team at Domino acts as a force multiplier for engineering, building the tools and systems that enable teams to ship code confidently and consistently. A core part of this mission is Tempest, an in-house platform that orchestrates realistic, long-duration workloads against live Kubernetes clusters and validates the results against real observability data. Today, when scale testing surfaces a bottleneck, a resource misconfiguration, or a regression in system behavior, the team can identify and report the issue — but we need someone who can take the next step: profiling services, tracing root causes through Prometheus and New Relic data, and partnering with platform engineers to drive durable fixes. Focused on iteration and continuous improvement, the team looks for targeted enhancements that create outsized impact, and this role will close the gap between detection and resolution at the infrastructure level.

What your impact will be

In your first year, you will:

• Serve as the technical owner of Tempest, Domino's scale and reliability platform, ensuring it remains reliable, extensible, and aligned with evolving infrastructure needs
• Diagnose and drive resolution of performance bottlenecks and resource misconfigurations surfaced by scale testing — working directly with platform and infrastructure teams to ship fixes, not just file tickets
• Deliver accurate, data-driven sizing recommendations for customer-facing documentation based on rigorous empirical testing across deployment sizes
• Strengthen observability across scale testing by improving Prometheus and New Relic instrumentation, making it faster to pinpoint root causes during and after multi-day load runs
• Establish and operationalize scale testing on cloud platforms, ensuring appropriate sizing and configuration guidance for this increasingly divergent product line
• Partner with platform teams to enable effective scale and reliability testing across additional cloud providers, helping position Domino for future multi-cloud success
• Increase the efficiency and leverage of a small team by building infrastructure automation that scales operationally as the product and customer base grow

What we look for in this role

• Background in SRE, platform engineering, or infrastructure with hands-on experience operating and troubleshooting distributed systems in production Kubernetes environments
• Strong proficiency in Python and comfort working in a large, modular codebase that spans orchestration, infrastructure automation, and systems integration
• Experience with observability stacks (Prometheus, Grafana, New Relic, or similar) — writing queries, building dashboards, and using metrics to diagnose performance and reliability issues at the systems level
• Demonstrated ability to go beyond detection to resolution: profiling services, identifying resource bottlenecks, and working with engineering teams to ship durable fixes
• Familiarity with performance and load testing methodologies (e.g., Locust, k6, or similar) as part of a broader infrastructure or reliability practice
• Clear ownership mindset — self-directed, accountable, and able to communicate priorities and status effectively in a remote, async environment

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

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 development and analytics work. Our mission is to make access to data seamless and comprehensive such that data scientists can incorporate data into their workflows without worrying about how. We take satisfaction in making sure that data scientists can derive insights and produce predictions knowing that they have the full availability of data without worrying about engineering complexity.

The two teams have been working interchangeably and smoothly to fulfill their respective missions.

What your impact will be

In your first year, you will:

• Design and develop software solutions that improve Domino’s user experience with regards to the new, highly-sought Governance feature
• Extend and contribute enhancements to the open-source software powering Domino
• Create technical designs and clearly communicate them to cross-functional stakeholders
• Enable fellow engineers to achieve high quality through design and code reviews
• Work with product managers to ensure solutions are well planned and delivered on-time

What we look for in this role

• 5+ years of experience in backend development, especially in distributed computing with Hadoop, Spark, Kafka
• Experience in API design and development, e.g. RESTful APIs, GraphQL and similar, with a focus on integrating backend and front-end systems
• Strong proficiency in Java, Scala, Go, or Python, dedicated to building high-performance backend solutions
• Skilled in enhancing backend performance in cloud environments, well-versed in Docker, Kubernetes, and CI/CD practices.
• Experience building production grade software, preferably in Scala or Go.
• Comfortable in dynamic, fast-paced settings, possessing strong problem-solving skills and a comprehensive understanding of system design and architecture
• Strong familiarity with service-oriented architecture (SOA), adept at designing and developing modular, maintainable services for seamless system integration
• Ability to work independently and be a reliable teammate

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

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 easily find models across the organization.
• Scalable Training Resources: Leverage advanced tools like GPUs, Ray, and Spark to meet the needs of diverse AI projects.

By supporting organizations in developing, registering, and scaling AI models, we enable impactful insights and innovation across the enterprise.

What your impact will be

In your first year, you will:

• Integrate model monitoring to provide a holistic view of deployment health and performance
• Enhance tagging capabilities across Domino entities to improve discoverability and tracking
• Expand LLM hosting capabilities to address customer needs for scale, performance, and logging
• Innovate within our Domino Apps offering by incorporating feature requests from major customers

What we look for in this role

• Building Scalable Systems: Hands-on experience developing and managing high-performance back-end systems in distributed computing environments
• Collaboration Across Teams: Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services
• API Development: Designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC)
• Performance Optimization: Profiling and optimizing back-end performance, especially in cloud environments or with container technologies like Docker and Kubernetes.
• Testing and CI/CD: Using robust testing frameworks (unit, integration, end-to-end) and setting up CI/CD pipelines
• ML Model Deployment: Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow is a big plus
• Distributed Computing: Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus
• Cloud Platforms: Proficiency with cloud providers (AWS, Azure, GCP) and deploying services in these environments
• Back-End Development: Expertise in languages such as Python, Java, Scala, or Go

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

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 as the system that produces them at scale. This is an editorial and production role for a performance-obsessed content marketer who operates like a producer: someone who can write a sharp 1,200-word SEO blog post and a five-word subject line, brief a freelancer to do either, and edit both to a publishable standard. You will work closely with vertical marketers, product marketing managers (PMMs) and channel owners to translate Domino's technical positioning into copy that educates, engages and converts and build the repeatable workflows that keep that content flowing.

What your impact will be 

• Own the editorial calendar and drive consistent, on-time content production across blog, email, social and web properties
• Write high-quality, performance-optimized copy for demand gen campaigns: email sequences, subject lines, landing pages, social ads and CTAs
• Brief, direct and edit external contributors - freelancers, agencies and subject matter experts and manage quality and brand voice across all sources
• Act as editor-in-chief for content from executives, sales and technical SMEs, shaping rough ideas and drafts into polished, on-brand assets without losing the original voice
• Build and maintain editorial templates, content briefs and production workflows that allow the team to scale output without sacrificing quality
• Develop SEO-optimized blog content and thought leadership that builds Domino's authority with data science and AI audiences
• Partner with vertical marketers and PMMs to adapt technical messaging into audience-appropriate content for practitioners, data science leaders and business buyers
• Copyedit and enforce brand voice consistency across all content to raise the bar on quality across the team's output
• Measure and report on content performance across channels, iterating based on engagement, conversion and pipeline data
• Support campaign launches with copy for all companion assets: nurture tracks, social promotions and event materials

What we look for in this role

• More than 3 years of B2B content marketing or copywriting experience, ideally in software as a service (SaaS) or a technical domain
• Demonstrated editorial range: you write differently for a technical blog post than for a paid social ad, and you can brief someone else to do the same
• Experience managing or editing external contributors such as freelancers, agencies or SMEs and a track record of raising output quality through editorial process, not just personal effort
• Demonstrated ability to measure and improve content performance using data; you treat copy as a hypothesis to test, not a deliverable to ship and forget
• Strong SEO fundamentals: on-page optimization and content planning for organic demand
• Copyediting instincts and a sharp eye for brand voice, clarity and structure
• Comfortable working in a fast-paced environment with multiple stakeholders and shifting priorities
• Startup or high-growth experience a plus

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work. 
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything. 
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.