Engagement Manager, Life Sciences - Domino Data Lab

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.

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 level enterprise customers depend on. Three functions, one relentless motion, and a team that earns its reputation on what it ships, not what it scopes.

What your impact will be

• Own the customer program end-to-end: From contract signature through expansion. You're accountable for outcomes, not activities, and every engagement you lead has a single owner (you), clear milestones, and a cadence that keeps everyone moving as the program manager.
• Partner with account team: Ensure every engagement is scoped to be delivered with excellence, bridging what is sold with what can be executed.
• Direct the delivery pod: Lead our Forward Deployed Engineers and Integration & Architecture teams for customer engagements. Put capacity where it creates the most value and keep programs on track across milestones, stakeholder communication, and account health.
• Earn trust at every level: From C-suite sponsors to the data scientists running models in production. You close the gap between strategic intent and day-to-day delivery.
• Lead the room in solutioning conversations: Connect how Domino builds, scales, and governs AI to the outcomes customer leadership actually cares about. You operate as a peer, not a vendor.
• Make adoption real: Drive rollout, enablement, and change management so what your team ships gets used, not shelved.
• Turn customer engagements into growth: Proactively uncover new use cases and expansion opportunities in partnership with customer success and sales, qualifying them and routing them back to internal teams.
• Be the customer's voice inside Domino: Convert field intelligence into product feedback, escalations, and commercial signals.

What we look for in this role

• 4–8 years in an enterprise customer-facing discipline: implementations, consulting, technical program management, or product.
• Life sciences background: Experience where reproducibility, auditability, and compliance are non-negotiable is a meaningful advantage.
• Ownership of the what: Comfortable reshaping a customer's ask into the right solution, even when pushing back on the original scope.
• Comfort with ambiguity: You move before the problem is fully formed and treat ambiguity as the starting point.
• Strategic translation: Turn unstructured executive conversations into executable plans connecting model development, deployment, and governance.
• Domain knowledge: Know enough about how enterprise data science teams build, scale, and govern models to ask the right questions.
• Real delivery ownership: Full-cycle delivery experience without creating unnecessary bureaucracy.
• Technical fluency: Conversant across software architecture, predictive modeling, and agentic systems.
• Solutions-oriented: Escalate with a recommendation, not just a problem.

What we value

• Diversity & Inclusion: Growing a diverse team and encouraging people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
• Growth mindset: High-performing creative individuals who dig into problems and see opportunities for success.
• Truth-seeking: Individuals who seek truth, speak truth, and can be their whole selves at work.
• Continuous improvement: Believing that improving is always possible; everything is a work in progress.
• Teaching and learning: Equipping employees with the tools needed to be successful in their function and the company.