D

Domino Data Lab

Makes software for building AI at regulated firms

Account Manager - Life Sciences

Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 5 years of experience selling complex enterprise technology solutions, including owning and growing existing customer relationships.
  • Demonstrated success retaining and expanding large enterprise customers, including closing seven-figure software transactions.
  • A track record of building multi-year account strategies and creating expansion opportunities rather than relying on existing demand.
  • Experience navigating complex organizations, developing executive relationships, and expanding across multiple business units.
  • Technical fluency and curiosity, with the ability to engage credibly with data scientists, engineers, and technical stakeholders, ask informed questions, and understand how technology fits into their workflows. Engineering experience is not required, but comfort going beyond a high-level product conversation is expected.
  • Strong commercial judgment and experience leading enterprise renewals, negotiations, and expansion opportunities.
  • Ability to understand customer adoption, business priorities, and outcomes and translate them into opportunities for growth.
  • A disciplined approach to account planning, opportunity qualification, pipeline management, and forecasting.
  • Experience coordinating cross-functional teams to deliver customer outcomes and execute account strategies.
  • Experience with data, analytics, artificial intelligence, infrastructure, cloud, or other technically complex enterprise platforms.
  • Experience selling into highly regulated industries, including Life Sciences and Financial Services.

Responsibilities

  • Own the commercial performance, retention, and expansion of a focused portfolio of strategic enterprise customers.
  • Develop multi-year account plans that connect customer priorities, adoption, renewal strategies, and growth opportunities.
  • Build relationships across technical, business, and executive leadership, establishing multiple champions and sponsors within each account.
  • Engage directly with data scientists, artificial intelligence and machine learning engineers, and technical practitioners to understand their workflows, challenges, and opportunities for additional value from Domino.
  • Understand how customers use Domino, where they realize value, and what is required to expand adoption across the enterprise.
  • Proactively identify and develop expansion opportunities across new business units, use cases, and stakeholders.
  • Own renewal strategy and commercial negotiations, balancing customer outcomes with long-term account growth.
  • Lead complex expansion opportunities from discovery and qualification through negotiation and close.
  • Partner with Customer Success, Solutions Consulting, Professional Services, Product, Partnerships, Legal, and Deal Desk to coordinate customer engagement and execution.
  • Maintain clear account plans, qualified pipeline, accurate forecasts, and visibility into risks and opportunities across the portfolio.
  • Serve as the commercial point of accountability for customers, ensuring Domino operates as a coordinated, strategic partner.

Desired Qualifications

  • Experience with data, analytics, artificial intelligence, infrastructure, cloud, or other technically complex enterprise platforms is valuable.
  • Experience selling into highly regulated industries, including Life Sciences and Financial Services, is a plus.

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

Recently Posted Jobs

Explore more opportunities at Domino Data Lab

See more jobs