Senior Product Designer, AI & Emerging Technology Focus

Responsibilities

• Lead design projects from research and problem framing through to UX flows, prototypes, and polished experiences Translate complex AI-driven insights into clear, approachable, and trustworthy interfaces.
• Conduct user research and usability testing to uncover member needs and validate design decisions Create information architectures, workflows
• interaction patterns that balance intuitiveness with technical sophistication Prototype in Figma (high proficiency required)
• also leveraging no-code/low-code tools (e.g., Cursor, Lovable, Replit) to explore real interactions Collaborate with PMs, engineers
• data scientists to define opportunities and deliver production-ready solutions Actively use AI in your design workflow (for ideation, prototyping, content generation
• synthesis) Advocate for inclusive, ethical
• transparent AI design, ensuring accessibility and fairness are at the core of member experiences QUALIFICATIONS: 5+ years of experience in product design, with a strong portfolio demonstrating end-to-end ownership of shipped work Proven experience designing consumer-facing digital products, particularly mobile experiences Deep expertise in UX, interaction design
• product thinking, with the ability to structure ambiguous problems into clear solutions High proficiency in design tools such as Figma, with strong skills in wireframing, prototyping
• workflow design Strong visual design skills, with attention to detail and a high bar for craft and polish Experience collaborating cross-functionally with product, engineering
• research teams to deliver impactful product outcomes Familiarity with AI/ML-driven products and an understanding of key UX challenges such as trust, explainability
• transparency Experience designing for emerging technologies (e.g., AI-first products, wearables, voice interfaces) is a plus Excellent communication skills, with the ability to clearly articulate design decisions and influence stakeholders Passion for health, fitness
• helping people better understand and improve their performance 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.
• 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
• retain exceptional talent by offering competitive base salaries, meaningful equity
• consistent pay practices that reflect our mission and core values.
• At WHOOP, we view total compensation as the combination of base salary, equity
• 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 $155,000-$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.
• Learn more about WHOOP .