Domino Data Lab

Engagement Manager, Life Sciences

Domino Data Lab$180K — $220K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in enterprise customer-facing roles such as implementations, consulting, or technical program management.
  • Background in life sciences emphasizing compliance and reproducibility is preferred.
  • Ability to navigate ambiguity and identify issues before they are fully articulated by the customer.
  • Skilled in transforming high-level executive discussions into actionable plans.
  • Technical understanding of enterprise data science operations and model governance.
  • Proven ownership of project delivery from inception to completion without bureaucratic delays.
  • Strong technical proficiency in software architecture and predictive modeling.

Responsibilities

  • Own customer programs from start to finish, ensuring clear accountability and milestones.
  • Collaborate with account teams to align sold solutions with delivery capabilities.
  • Direct teams and resources to maximize value throughout customer engagements.
  • Build trust with stakeholders at all levels, from executives to data scientists.
  • Facilitate solution discussions that link our technology to customers' strategic outcomes.
  • Drive adoption and change management to ensure successful implementation of solutions.
  • Identify and develop growth opportunities from customer engagements, collaborating closely with the sales team.
  • Represent the customer's needs within the company, converting insights into actionable feedback.

Benefits

  • Remote work flexibility.
  • Equity options and potential company bonus.
  • 401(k) retirement plan.
  • Comprehensive medical, dental, and vision coverage.
  • Wellness stipends for employee health and well-being.
Full Job Description
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 (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.

What we look for in this role
  • 3-5 years in an enterprise customer-facing discipline: implementations, consulting, technical program management, or product. Caliber and complexity matter more than the title.
  • Background in life sciences where reproducibility, auditability, and compliance are non-negotiable is a meaningful advantage.
  • 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.

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

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Compensation Range

$180,000-$220,000 USD

About Domino Data Lab

Domino Data Lab is a software company that provides a platform for data science teams to collaborate and build models. The company was founded in 2013 and is headquartered in Oakland, California. Domino Data Lab's platform allows data scientists to work together on projects, share code and data, and track experiments. The company also offers tools for model deployment and management. Domino Data Lab aims to help organizations make better decisions by leveraging the power of data science.
Learn more about Domino Data Lab
Size
200 employees
Industry
Founded
2013

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