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Manage the data engineering team at WHOOP, focusing on developing data pipelines and ensuring operational excellence, while collaborating with various stakeholders.
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are seeking an Engineering Manager, Data Engineering to lead the team responsible for the data that powers WHOOP AI, analytics, and decision-making. In this role, you will manage the engineers who build, optimize, and maintain the data pipelines and platforms that underpin our business operations and member experiences. You’ll bring a strong technical foundation, a keen eye for operational excellence, and an ability to align cross-functional teams to deliver impactful outcomes.
As a leader, you will balance strategic vision with hands-on execution, guiding your team through complex engineering challenges while ensuring WHOOP’s data ecosystem is performant, reliable, and cost-efficient.
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.
QUALIFICATIONS:
- 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.
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.
The U.S. base salary range for this full-time position is $150,000 - $210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package..
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP.
Top Skills
Airflow
AWS
Azure
Databricks
GCP
Iceberg
Prefect
Python
Snowflake
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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