Engagement Manager Lead

• 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

• 4–8 years in an enterprise customer-facing discipline: implementations, consulting, technical program management, or product. Caliber and complexity matter more than the title
• 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
• Experience leading a team: direct reports, a cross-functional pod, or a mix of engineers and specialists. You set direction, develop people, and hold accountability without micromanaging
• 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
• Background in life sciences, financial services, or a regulated industry where reproducibility, auditability, and compliance are non-negotiable is a meaningful advantage

Background in life sciences, financial services, or a regulated industry where reproducibility, auditability, and compliance are non-negotiable is a meaningful advantage

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