Software Engineering Manager (AI Quality) at Whoop
Boston, MA
$150,000–$215,000from the description
Jul 22, 2026
Boston, MA
Jul 23, 2026
What this job asks for AI summary
A hybrid technical and people management role leading the AI Quality team, which is responsible for measuring and improving the reliability of AI and ML models that power a wearable health device. Day-to-day work spans setting testing frameworks for model drift, defining AI quality architecture, managing third-party vendor relationships, and coaching a team of AI/ML engineers. Best suited to an experienced engineering manager with a strong background in applied AI and ML quality at scale.
Senior level · 5+ years · Boston-Cambridge-Newton, MA-NH · Full-time
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 860 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (computer and information systems managers). range 360–1,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $219,687 (middle half $178,102–$275,447). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
This is a people-management role (Engineering Manager) with direct reports, mentorship, and vendor relationship ownership, making 11-3021 the primary SOC. However, the role has a strong hands-on AI/ML quality focus, so 15-2051 is noted as a plausible runner-up.
The posting names no specific named technologies, frameworks, or tools beyond broad domains (Applied AI, Machine Learning, software deployment lifecycles). Skills are therefore captured at the domain level rather than as specific named tools — the JD simply does not name any.
'Experience managing an AI product at scale' is explicitly called out as 'a plus,' so it is marked as preferred.
The title 'Engineering Manager' carries no explicit seniority level word; the title states no level. The 5+ years requirement and management scope support a Senior classification.
Compensation is stated as a US base salary range of $150,000–$215,000/year, with additional equity and benefits noted but not quantified.
The role requires in-office presence in Boston, MA; relocation may be required. Remote work is not offered.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI model quality evaluation, vendor/partnership management.
Read the full posting
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