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Domino Data Lab

Makes software for building AI at regulated firms

Engagement Manager - Life Sciences

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listedRemote

About the Job

Requirements

  • Four to eight years of experience in an enterprise customer-facing discipline such as implementations, consulting, technical program management, or product.
  • A background in life sciences is an advantage.
  • Comfort reshaping a customer's request into an appropriate solution, including pushing back on the original scope.
  • Ability to work effectively with ambiguity and identify problems customers may not yet be able to articulate.
  • Ability to turn unstructured executive conversations into executable plans connecting model development, deployment, and governance.
  • Understanding of how enterprise data science teams build, scale, and govern models.
  • Experience owning delivery across full cycles, maintaining execution cadence and taking a position when challenges arise without creating unnecessary bureaucracy.
  • Technical fluency across software architecture, predictive modeling, and agentic systems, with the ability to get hands-on and learn new domains quickly.
  • Ability to recommend solutions when escalating issues and use AI to improve speed and effectiveness.

Responsibilities

  • Own customer programs end-to-end from contract signature through expansion, with accountability for outcomes, clear milestones, and a cadence that keeps internal and external stakeholders moving.
  • Partner with the account team to scope engagements for successful delivery and bridge what is sold with what can be executed.
  • Direct the delivery pod, including Forward Deployed Engineers and Integration & Architecture teams, allocating capacity and tracking milestones, stakeholder communication, and account health.
  • Build trust with customer stakeholders ranging from C-suite sponsors to data scientists running models in production, connecting strategic intent to day-to-day delivery.
  • Lead solutioning conversations and connect Domino's AI building, scaling, and governance capabilities to customer leadership's desired outcomes.
  • Drive rollout, enablement, and change management to support customer adoption of delivered solutions.
  • Partner with customer success and sales to identify, qualify, and route new use cases and expansion opportunities to internal teams to fuel pipeline.
  • Represent the customer's perspective within Domino by translating field intelligence into product feedback, escalations, and commercial signals.

About the Company

Domino Data Lab

Makes software for building AI at regulated firms

Domino Data Lab makes software that large companies and government agencies use to build and govern AI, with a focus on heavily regulated fields such as drug development, banking, and defense. Its platform, launched in 2014, was one of the first to package each data science project in a container, a sealed software setup, so results can be rerun exactly. Data scientists write code in Python, R, or SAS and train models on their company's own servers or any major cloud, while Domino logs each step so auditors can trace how a result was made. Customers pay subscriptions priced by the number of users and run Domino themselves or as a service Domino hosts. Domino was founded in 2013 and is based in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$226.6M
Headquarters
San Francisco, CA
Founded
2013

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