Engagement Manager (Expert Data Services)
Engagement Manager responsible for delivering AI training data and model improvement projects in healthcare and clinical domains. The role combines end-to-end project execution, expert-team coordination, quality management, and, at more senior levels, customer strategy and commercial ownership.
About the job
Responsibilities
- 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 expansion planning.
- For senior candidates, manage day-to-day customer relationships with foundation model companies, life sciences organizations, and research labs.
Requirements
- 2–6 years owning outcomes in human data operations, consulting, strategy, or other fast-paced, operationally heavy roles.
- Strong execution skills and the ability to own complex projects end-to-end.
- Comfort working with demanding, technical customers.
- Detail-oriented and quality-focused, especially in regulated environments.
- Clear, structured communication across technical and non-technical audiences.
- Ability to operate independently with accountability and urgency.
- Senior candidates should demonstrate commercial acumen and leadership.
Compensation and Benefits
- Base salary: $130,000–$180,000, plus an aggressive performance-based bonus.
- Competitive salary and equity.
- Medical, dental, and vision coverage.
- 401(k).
- Monthly wellness and fitness stipend.
- Paid time off and company holidays.
- Annual company off-sites.
- Remote flexibility and paid family leave.
Skills
Ai Model Training, Data Operations, Project Management, Quality Assurance, Clinical Data, Life Sciences, Customer Relationship Management, Pricing, P&L Management
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