Engagement Manager, Life Sciences

Posted Yesterday
Be an Early Applicant
Hiring Remotely in UK
Remote or Hybrid
Senior level
Artificial Intelligence • Machine Learning
Unleash data science, one innovation at a time.
The Role

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. For more information, visit www.domino.ai

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

  • 4–8 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.
  • 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.

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

Skills Required

  • 4-8 years of experience in an enterprise customer-facing discipline such as implementations, consulting, technical program management, or product
  • Technical fluency across software architecture, predictive modeling, and agentic systems
  • Experience owning full-cycle delivery and execution for complex customer engagements
  • Ability to lead solutioning conversations and translate customer needs into appropriate solutions
  • Ability to develop executable plans from unstructured executive conversations
  • Knowledge of how enterprise data science teams build, scale, and govern models
  • Life sciences background involving reproducibility, auditability, and compliance
  • Ability to drive rollout, enablement, adoption, and change management

Domino Data Lab Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Domino Data Lab and has not been reviewed or approved by Domino Data Lab.

  • Healthcare Strength — Health coverage is positioned as premium, including a $0‑premium option for employees and dependents, with mental‑health coverage and a Calm subscription available. These features point to robust medical, dental, and vision support.
  • Leave & Time Off Breadth — Time off and flexibility are emphasized through flexible/unlimited PTO and a remote‑first approach. This setup signals considerable autonomy in managing time away from work.
  • Wellbeing & Lifestyle Benefits — Extras such as commuter benefits, a home‑office/equipment stipend, and wellness reimbursements expand everyday support. An EAP and fitness perks further bolster lifestyle and wellbeing offerings.

Domino Data Lab Insights

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The Company
HQ: San Francisco, CA
200 Employees
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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