WHOOP · 1 day ago
Engineering Manager, Data Engineering
WHOOP is on a mission to unlock human performance by empowering members with insights into their bodies and daily lives. They are seeking an Engineering Manager for Data Engineering to lead a team responsible for data pipelines and platforms that support WHOOP's AI and analytics efforts, ensuring operational excellence and collaboration across teams.
Consumer ElectronicsFitnessSportsWearablesWellness
Responsibilities
Lead and Develop a High-Performing Team: Manage, mentor, and grow a team of data engineers focused on data quality, performance, and scalability across WHOOP’s platforms
Prioritize and Deliver Impactful Work: Manage competing priorities and ensure the team focuses on the most critical projects that drive measurable outcomes for WHOOP and its members
Drive Operational Excellence (OPEX): Establish and monitor KPIs for system reliability, cost efficiency, and delivery speed. Partner with finance and platform teams to optimize spend while maintaining high service quality
Own Data Pipelines: Oversee the design and maintenance of WHOOP’s core data pipelines, ensuring scalability, reliability, and adherence to best practices in security, governance, and observability
Collaborate with Key Stakeholders: Partner with the Data Science, Analytics, Product, and ML Platform teams to understand requirements, define priorities, and align on deliverables that accelerate innovation and business impact
Ensure Engineering Rigor: Champion software development best practices including version control, testing, documentation, CI/CD, and AI initiatives to ensure reproducible and maintainable data systems
Contribute to Technical Strategy: Help shape the roadmap for WHOOP data engineering and data platform teams, balancing long-term vision with short-term execution
Evaluate emerging technologies and practices aligned with AI initiatives that improve performance, observability, and developer experience
Support Cross-Team Integration: Ensure smooth data flow across internal systems, from ingestion and transformation to downstream consumption by AI, analytics, and product teams
Qualification
Required
Bachelor's or Master's Degree in Computer Science, Engineering, or a related field; or equivalent professional experience
5+ years of experience in data or software engineering, including 2+ years in a people management role
Deep understanding of modern data architectures (e.g. Snowflake, Iceberg, Databricks, or similar) and cloud platforms (e.g. AWS, GCP, Azure)
Proficiency in programming languages such as Python and familiarity with data pipeline orchestration tools (e.g., Prefect, Airflow)
Proven track record of balancing technical innovation with operational and financial efficiency (OpEx ownership)
Strong stakeholder management skills - able to translate complex data needs into clear business outcomes and communicate effectively across engineering, product, and leadership teams
Passion for building high-performing teams, fostering growth, and creating systems that scale to power WHOOP's mission
Benefits
Competitive base salaries
Meaningful equity
Benefits
Generous equity package
Company
WHOOP
WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.
H1B Sponsorship
WHOOP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$404.75MKey Investors
SoftBank Vision FundIVPFoundry Group
2021-08-30Series F· $200M
2020-10-28Series E· $100M
2019-11-12Series D· $55M
Recent News
Mashable
2025-12-24
2025-12-08
Company data provided by crunchbase