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Senior Manager, ML Health - Insights

whoopBoston, MAMachine Learning & AI Research
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Salary
$170K - $230K.
Job type
Full-time
Experience
Senior · 7+ yrs
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Senior Manager, ML Health - Insights is a full-time position based in Boston, MA, that suits an experienced engineering and science leader with a background in machine learning and health domains. This role directs a mixed team of applied machine learning scientists and engineers to deliver health-focused algorithms and insights.

Role Overview

The Senior Manager, ML Health - Insights leads delivery and people outcomes across machine learning workstreams for WHOOP in Boston, MA. The position bridges technical strategy and execution by translating department goals into quarterly plans, hiring top talent, coaching senior individual contributors, and partnering with product and health stakeholders.

Key Responsibilities

Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team.
Translate department strategy into quarterly plans, milestones, and success criteria while keeping the team focused on highest-leverage work.
Lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices.
Develop the next layer of leadership by coaching senior ICs, managing performance with clarity, and fostering professional growth.
Set the standard for work quality, evaluation rigor, review practices, and operating models for Health ML.
Partner directly with Product, clinical, software, and Digital Health partners to align on roadmap, evidence, and sequencing.
Manage execution, technical, and people risks by designing mitigation strategies and informing senior leadership of consequential decisions.
Define and own planning cadences, design reviews, decision forums, and quality gates for member-facing health machine learning.
Build and raise AI-enabled workflows that create measurable leverage across development, evaluation, documentation, and stakeholder communication.
Represent the team's work credibly to executive and cross-functional audiences.

Requirements

7+ years of experience in machine learning, applied science, or software engineering.
3+ years managing engineering and/or science teams.
Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field.
Demonstrated track record managing highly senior ICs including hiring, performance management, and professional development.
Deep familiarity with the machine learning development lifecycle across data collection, training, evaluation, validation, deployment, and monitoring.
Experience shipping algorithms or machine learning-enabled products in health, wearables, digital health, or a closely related applied domain.
Demonstrated ability to set direction and make timely prioritization calls under uncertainty.
Demonstrated AI-tooling sophistication with a track record of building or adopting AI-enabled workflows.
Clear, high-signal communication skills for both technical discussions and executive summaries.

Nice to Have

Advanced degree in a related technical or scientific field.
Depth in a Health domain WHOOP already works in, such as member insights, women's health, cardiometabolic or respiratory health, sleep, strength, healthspan, neuroscience, or physiological time-series work.
Experience as a counterpart to Product on ambiguous health or member-insight problems.
Familiarity with clinical validation, evidence packages, or Digital Health partnerships on higher-stakes health features.

Skills and Tools

Machine Learning Development Lifecycle
AI-Enabled Workflows
Physiological Time-Series Work
Applied Science and Engineering Tooling

Salary and Benefits

Salary range: $170,000 to $230,000

About the Company

WHOOP is on a mission to unlock and inspire performance for life, empowering members to improve their health and perform at a higher level through a deep understanding of their bodies and daily lives. The Health team develops the algorithms and features that expand sensing capabilities across women's health, wellness and longevity, member insights, and emerging health signals.

How to Apply

To apply for this role, please visit the official company careers page.

Skills and tech stack

Machine LearningAI-enabled workflows

Questions candidates ask

What is the salary range for this position?

The salary range for the Senior Manager, ML Health - Insights role is $170,000 to $230,000.

Where is the job located?

The job is located in Boston, MA.

What experience is required for this role?

Candidates need 7+ years of experience in machine learning, applied science, or software engineering, including 3+ years managing engineering and/or science teams.

What educational background is needed?

A Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field is required, with an advanced degree preferred.

How do I apply for this job?

Candidates should apply directly on the official company careers page.

Ready to apply?

The application is on the official whoop careers page.

Apply on company site