May 21, 2026 Melissa Kashouh

Whoop – Senior Software Engineer (Backend, AI Platform)

  • Anywhere

● TALENT ONE MARKET INTELLIGENCE: WHOOP

🔥 TALENT LIQUIDITY:
Extremely tight. Most engineers have ‘model’ experience, but very few have ‘platform’ experience for AI. 1:12 supply-to-demand ratio.

📈 ALPHA SIGNAL:
Building the AI platform is the most ‘recession-proof’ role in tech. By owning the infrastructure that powers the product’s core value, you become a critical dependency, securing your equity upside and ensuring your mortgage is covered by the company’s primary growth engine.

EST. COMPENSATION
$190k – $240k Base + Equity + Performance Bonus
SECTOR HEAT
85.8/100
CANDIDATE PROTOCOL: Focus your narrative on ‘abstraction layers’ and ‘latency reduction’ in LLM pipelines. If you have experience building internal tools that allow non-AI engineers to deploy models safely, you are the top 1% candidate.

Official Role Description: Whoop

At WHOOP, we’re on a mission to unlock human performance and healthspan. 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 Senior Software Engineer 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 AI 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 toolsDesign abstraction layers that empower Product and Software teams to leverage Generative AI in the WHOOP product.Build data pipelines used to evaluate and fine-tune LLM modelsConsistently 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:Strong experience building applications leveraging Large Language Models.Experience in backend development, working on large-scale distributed software systems.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.Expertise with Websockets is a plusLearn 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 $150,000 – $215,000. 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.

Melissa Kashouh

Founder of Talent One I help enterprise leaders and investors forecast hiring surges, talent shortages, and market friction up to six weeks in advance using our patent-pending predictive intelligence platform. As the founder of Talent One AI (the intelligence layer of The Talent One), I built a system that turns lagging recruiting data into actionable foresight — helping companies reduce technical debt, protect employer brand, and hire ahead of the curve. Based in Providence, Rhode Island.
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