As an Engagement Manager, you will own the execution and delivery of high-impact AI data generation and model improvement projects in healthcare and clinical domains. You'll work closely with customers and internal teams to ensure projects are delivered with high quality, speed, and reliability.

We're hiring across a range of seniority levels for this role. More senior Engagement Managers will take on greater ownership of commercial outcomes and customer strategy, while more junior hires will focus on driving day-to-day execution. Across all levels, this role offers growing exposure to customer strategy and commercial decision-making, with commercial and leadership skills expected to develop over time — and already demonstrable in more senior candidates.

Own a book of business, with accountability for revenue, margin, retention, and expansion.

Lead end-to-end creation and delivery of advanced AI model training datasets.

Coordinate distributed teams of clinical and life sciences experts.

Maintain high quality standards through strong guidelines and QA processes.

Improve operational systems to increase speed, quality, and consistency.

For senior candidates: Own deal scoping, pricing, and expansions planning.

For senior candidates: Own day-to-day customer relationships with foundation model companies, leading life sciences organizations, and research labs and act as a trusted partner.

2–6 years owning outcomes in human data operations, consulting, strategy, or other fast-paced operationally heavy roles.

Strong executor who enjoys owning complex projects end-to-end.

Comfortable working with demanding, technical customers.

Engagement Manager (Expert Data Labs)

Responsibilities

Qualification

Required

Benefits

Company

Office Hours

More roles at Office Hours