Engagement Manager – Lead

Domino Data Lab

Engagement Manager Lead overseeing enterprise customer programs and ensuring AI adoption at Domino Data Lab. Driving implementation, growth, and operational excellence in data science solutions.

Posted 6/4/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $250,000 - $275,000 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

program managementtechnical program managementpredictive modelingsoftware architecturedata governancechange managementcustomer engagementsolutioningenterprise data scienceimplementation

Soft Skills

leadershipcommunicationproblem-solvingtrust-buildingadaptabilityexecution ownershipcollaborationstrategic thinkingteam developmentsolutions-oriented