The Role
As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.
Summary Generated by Built In
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives. We are looking to add highly motivated and skilled engineers to our team to help us take our proven system to new heights.
The AI Platform team at WHOOP is responsible for building the foundation that enables scalable, responsible, and accessible use of Generative AI across our products. We focus on developing reusable infrastructure, services, and tools that empower product and software teams to experiment with, integrate, and ship GenAI-powered features efficiently and safely. By abstracting the complexities of large language models (LLMs) and enabling deliverability of personalized member insights, our platform accelerates innovation and ensures consistent, high-quality user experiences.
As a Software Engineer II on the AI Platform team, you will play a key role in designing and scaling the systems that serve as the backbone of WHOOP’s Generative AI capabilities. You’ll build robust, modular services and developer-friendly tools that simplify working with GenAI models across the organization. This role combines a platform mindset with engineering excellence, helping WHOOP unlock the full potential of Generative AI—across the Core product, coaching, insights, and beyond.
RESPONSIBILITIES:
- Help execute WHOOP's vision to build and scale the use of Generative across our Core product
- Develop backend features and services, leveraging Java, AWS, and PostgreSQL to deliver scalable and reliable software solutions.
- Collaborate with cross-functional teams—including Product, Design, and Data Science—to gather technical requirements and deliver impactful infrastructure and tools
- Design abstraction layers that empowers Product and Software teams to leverage Generative AI in the WHOOP product.
- Consistently deliver high-quality code, adhering to best practices in software design and development.
- Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features.
- Mentor and support junior engineers, fostering a culture of collaboration and continuous improvement.
QUALIFICATIONS:
- Experience in backend development, working on large-scale software systems.
- Experience building applications on top of Large Language Models.
- Expertise in API design and development (preferably with Java).
- Experience in relational database design and development (SQL).
- Experience with scalable system design and performance optimization.
- Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
- Excellent communication skills and a commitment to delivering high-quality work.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework.
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 $125,000 - $170,000. 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.
Top Skills
AWS
Java
Postgres
What the Team is Saying
Anahis
Staff Tech Lead - Mechanical Engineering
Josh
Lead Designer
Manan Dedhia
Field Quality Manager
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The Company
What We Do
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. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
Gallery
WHOOP Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
4 days a week
