layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Senior Manager, ML Health - Insights at Whoop, Boston, MA

7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams.
Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred.
Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them.
Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes.
Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain.
Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work.
Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence.
Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction.
Depth in a Health domain WHOOP already works in preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work).
Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable.
Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes health features preferred.
Overview
Application
WHOOP is on a mission to unlock human performance and healthspan. Our Health Machine Learning team develops the algorithms and models that power health features used by millions of members. This role exists to scale that work: building and leading the engineering and science teams that bring SaMD products from research through validation, submission, and production deployment.
As a Senior Manager, SaMD, you will own delivery and people outcomes across the machine learning engineers and applied ML scientists developing WHOOP's regulated health features. You will set direction for your teams, develop the next generation of leaders within the function, and partner deeply across regulatory, quality, clinical science, product, software, and firmware to deliver health products that meet a clinical-grade bar. You will be accountable for both the engineering velocity of your teams and the rigor required to operate inside a regulated medical device development environment (FDA, IEC 62304, ISO 13485, ISO 14971).
Success in this role requires a profile with both ML and SaMD depth to evaluate your team's most important decisions, plus the people leadership skill to grow ICs, drive cross-functional alignment, and deliver with both pace and rigor in a regulated environment.

7+ years of experience in ML, applied science, or software engineering, with 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 junior and senior ICs, including hiring, performance management, and developing people who in turn raise the bar around them
Deep familiarity with the ML development lifecycle: data collection, model training, evaluation, validation, deployment, and monitoring, sufficient to evaluate the most important technical and methodological decisions your team makes
Direct experience shipping algorithms or ML-enabled software in a regulated environment (Software as a Medical Device, medical device development, or comparable QMS-controlled product development under FDA, IEC 62304, ISO 13485, ISO 14971)
Fluency operating across regulatory, quality, and clinical stakeholders, including familiarity with V&V, traceability, change control, design history, and audit readiness in fast-moving ML programs
Demonstrated ability to set strategy and make timely prioritization calls under uncertainty, keeping the team focused on the highest-leverage work
Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence
Clear, high-signal communicator who can move fluidly between deeply technical ML/regulatory discussions and executive-level summaries of risk, trade-offs, and direction.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

Senior Manager, ML Health - Insights

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