Engagement Manager, Life Sciences

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. 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.

Responsibilities

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 (internally and externally) moving as the program manager.; Partner with account team to ensure every engagement is scoped to be delivered with excellence, bridging what is sold with what can be executed.; Direct the delivery pod (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 in partnership with customer success and sales — proactively uncovering new use cases and expansion opportunities, qualifying them, and routing them back to internal teams to fuel pipeline.; Be the customer's voice inside Domino: convert field intelligence into product feedback, escalations, and commercial signals that make the broader team smarter.

Requirements

4–8 years in an enterprise customer-facing discipline: implementations, consulting, technical program management, or product. Caliber and complexity matter more than the title.; Comfortable owning the what, not just the when: you can reshape a customer's ask into the right solution, even when that means pushing back on the original scope; You move before the problem is fully formed: comfortable when the customer can't yet articulate what's wrong and treating ambiguity as the starting point.; You turn unstructured executive conversations into executable plans: connecting model development, deployment, and governance without losing what actually matters.; You know enough about how enterprise data science teams build, scale, and govern models to ask the right questions before the customer knows they need to answer them.; Real delivery ownership across full cycles, not coordination. You hold an execution rhythm, hold a position when things get hard, and don't create bureaucracy to do it.; Technically fluent across software architecture, predictive modeling, and agentic systems: able to get hands-on when it matters and learn new domains fast.; Solutions-oriented by default. You escalate with a recommendation, not just a problem, and reach for AI to do all of it faster and better.

Nice to have

Background in life sciences where reproducibility, auditability, and compliance are non-negotiable is a meaningful advantage.

Benefits

equity; company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; wellness stipends