Senior Data Product Engineer

About the role

You will design, build, and own business-critical data products that transform raw operational data into trusted, reusable datasets powering analytics, experimentation, and machine learning across WHOOP. You will operate at the intersection of software engineering, analytics, and product thinking to establish modern data product practices and raise the engineering quality bar organization-wide. In this role, you will partner deeply with Product, Analytics, Data Science, and Engineering to ensure a consistent and governed foundation for understanding data. You will leverage AI tools to accelerate development while maintaining rigorous validation, governance, and quality standards. As a senior leader, you will mentor engineers and analysts, fostering a culture of data product thinking and continuous improvement.

Key facts

What you'll do

• Design, build, and own business-critical data products, transforming raw operational data into trusted, reusable datasets that enable analytics, experimentation, and machine learning.
• Develop scalable dimensional models, semantic layers, and dbt transformations that create consistent business logic and trusted metrics across WHOOP.
• Partner closely with Product, Analytics, Data Science, and Engineering teams to understand business needs, translate ambiguous requirements into well-designed data products, and ensure those products evolve alongside the business.
• Establish engineering best practices for data modeling, testing, documentation, lineage, and governance, improving trust, discoverability, and maintainability across the analytical ecosystem.
• Collaborate with Data Engineers and Data Platform Engineers to improve upstream data quality, influence data contracts, and ensure reliable delivery of business-critical datasets.
• Drive adoption of reusable data products and self-service analytics capabilities, reducing duplication of business logic and enabling teams to move faster with confidence.
• Mentor engineers and analysts on modern data modeling techniques, engineering best practices, and data product thinking through technical leadership, design reviews, and collaborative problem solving.
• Leverage AI tools to accelerate development, improve documentation, enhance data quality, and increase engineering productivity while maintaining rigorous validation, governance, and quality standards.
• Define and manage the lifecycle of data products from conception through production, ensuring they remain performant, reliable, and aligned with stakeholder needs.
• Translate complex analytical requirements into clear specifications and implementation plans that balance scalability, usability, and maintainability.
• Implement monitoring and observability for data products to proactively identify issues, measure usage, and validate data quality in production.
• Work cross-functionally to prioritize initiatives, manage trade-offs, and deliver incremental value while maintaining a long-term vision for the data platform.
• Contribute to the architectural roadmap for analytics and data products, evaluating new tools, patterns, and technologies to future-proof the ecosystem.
• Act as a technical advisor to stakeholders, helping them understand data capabilities, constraints, and opportunities to maximize the value of WHOOP's data assets.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or a related technical field, or equivalent practical experience.
• 5+ years of experience designing and building production data solutions with a strong emphasis on analytics engineering, data modeling, or data product development.
• Expert-level SQL skills and extensive experience designing dimensional models and analytical data structures that balance usability, performance, and maintainability.
• Professional experience building data transformation frameworks using dbt or similar modern data transformation tools.
• Strong understanding of semantic modeling, metric design, and data governance principles, with experience creating trusted business-facing datasets.
• Experience working with modern cloud data warehouses such as Snowflake and partnering with data engineering teams to build scalable analytical solutions.
• Demonstrated ability to lead complex cross-functional initiatives, balancing technical excellence with business outcomes and stakeholder needs.
• Experience mentoring engineers and influencing technical standards through design reviews, documentation, and collaborative leadership.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences and build alignment across diverse stakeholder groups.
• Passion for treating data as a product, with a strong focus on usability, quality, discoverability, and long-term maintainability.
• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
• Must be currently authorized to work in the United States and not require work authorization sponsorship from WHOOP for this role now or in the future.
• This role requires relocation to the WHOOP office in Boston, MA.

Practical notes

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.

You are encouraged to apply even if you do not meet every qualification. WHOOP values character as much as experience and is committed to building a diverse and inclusive environment.

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.