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

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 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