Technical Lead, ML Operations

Whoop
Boston
Workplace: OnsiteFull timeUSD 150,000 - 215,000 annuallyFunction: Administration & Executive AssistanceExperience: 7+ yearsEducation: bachelorsSkills: ["Mentoring","Communication","Collaboration","Stakeholder alignment","Player-coach leadership"]

Lead ML Operations on the WHOOP MLOps team, owning the strategy, roadmap, and end-to-end delivery of a core ML platform component. Set technical direction, act as a player-coach, and manage a small engineering team while ensuring high reliability, scalability, and performance. Design and evolve ML infrastructure and CI/CD systems for model deployment, monitoring, and lifecycle management, partnering closely with Data Science, AI, Product, and Engineering.

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Whoop
Whoop
4 weeks ago

Technical Lead, ML Operations

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead ML Operations on the WHOOP MLOps team, owning the strategy, roadmap, and end-to-end delivery of a core ML platform component. Set technical direction, act as a player-coach, and manage a small engineering team while ensuring high reliability, scalability, and performance. Design and evolve ML infrastructure and CI/CD systems for model deployment, monitoring, and lifecycle management, partnering closely with Data Science, AI, Product, and Engineering.
Location: Boston
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Own the technical vision, roadmap, and delivery for a core ML platform component, aligning with product and business priorities.
  • •Lead and manage a small team by setting direction, prioritizing work, and maintaining high-quality execution.
  • •Drive end-to-end delivery including planning, unblocking, and ensuring reliability, scalability, and performance.
  • •Act as a player-coach by contributing hands-on to system design and critical components while mentoring engineers.
  • •Design and evolve scalable ML infrastructure and CI/CD systems for model deployment, monitoring, and lifecycle management, and establish best practices for architecture and operational excellence.

Pay and Benefits

Salary: USD 150,000 - 215,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • •7+ years of software engineering experience, including deep experience in ML infrastructure and cloud-based systems, and prior experience leading or managing engineers.
  • •Proven track record owning and delivering complex systems end-to-end, driving execution through a team.
  • •Experience managing or formally leading engineers, including mentoring, performance feedback, and supporting career development.
  • •Strong technical expertise in AWS and distributed systems, plus proficiency in programming (Python, Java) and building APIs, data pipelines, and real-time inference systems.
Experience:7+ yearsMachine learningML infrastructureCloud-based systems
Education:Bachelor's in Computer Science, Software Engineering (or related field)
Skills:MentoringCommunicationCollaborationStakeholder alignmentPlayer-coach leadership
Tech Stack:AWSPythonJavaCI/CDAPIsData pipelinesReal-time inferenceDistributed systemsObservabilityML infrastructure

Company Brief

Whoop
Whoop designs and sells a subscription-based wearable fitness tracker and analytics platform that monitors recovery, strain, and sleep to optimize athletic performance and daily health for consumers and professional athletes.
Industry: Wearables
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Boston, United States
Founded: 2012
WebsiteLinkedIn