Research Program Manager, Distributed Research

WHOOP is on a mission to unlock human performance and healthspan. This role sits at the center of that mission, ensuring our executives operate at maximum leverage. You will go beyond traditional administrative support by building systems, using AI tools, and proactively driving execution across priorities.

The U.S. base salary range for this full-time position is $90,000 - $130,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

3+ years of experience in a Program Management or Project Management role, preferably within a research, technical product, data, or operations-focused environment

Demonstrated experience managing intake, prioritization, roadmap planning, and execution across multiple stakeholders and competing priorities

Proven ability to translate ambiguous or evolving requests into clearly defined scope, timelines, and actionable execution plans

Experience building and scaling operational processes, workflows, and SOPs in fast-paced, evolving environments

Familiarity with Agile methodologies and project management tools such as Jira or similar workflow management systems

Comfort working closely with technical teams and managing dependencies involving internal tooling, data systems, or operational infrastructure

Excellent communication, organizational, and stakeholder management skills with the ability to drive alignment across cross-functional teams

Experience supporting human subjects research, decentralized research operations, or data collection infrastructure is a plus

Passion for health, wellness, and WHOOP’s mission to unlock human performance and healthspan

Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

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Own and maintain the program roadmap for decentralized data collection initiatives, partnering with researchers and stakeholders to align priorities, balance team capacity, and establish realistic timelines

Lead intake and scoping processes for new requests by partnering with researchers and stakeholders to define requirements, assess feasibility, and determine appropriate timing and scope

Ensure decentralized data collection planning incorporates applicable regulatory and compliance timelines, including IRB review and approval milestones where applicable

Manage and prioritize incoming requests with a clear understanding of team bandwidth and operational constraints, making thoughtful trade-offs across scope, timing, and prioritization

Build and maintain scalable intake workflows, SOPs, tracking systems, and operational processes that support efficient and repeatable research execution

Ensure data collection initiatives are planned and executed without overextending technical systems or operational capacity, proactively identifying risks and driving mitigation strategies

Own and manage internal tooling that supports decentralized data collection operations, partnering closely with technical teams to enable, monitor, and improve system usage

Collaborate cross-functionally with Research, Product, Engineering, and Operations teams to align priorities, surface dependencies early, and support smooth execution across initiatives

Use program metrics, operational insights, and performance indicators to improve prioritization frameworks, optimize processes, and increase the overall efficiency and impact of distributed research efforts