Lead Product Manager, Machine Learning

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.​​About the Role:We are seeking a highly motivated and experienced Lead Product Manager, Machine Learning to lead our ML-focused product initiatives, driving innovation and leveraging data to enhance our customer experiences, operational efficiency, and decision-making processes. This role will define and deliver the strategic product roadmap for machine learning solutions that support critical business functions such as personalization, predictive analytics, and optimization of healthcare delivery.As the Lead Product Manager for Machine Learning, you will work closely with engineering, data science, and cross-functional teams to build and launch impactful ML-driven features. Your ability to balance technical knowledge with customer-centric product thinking will be key to delivering value through scalable and innovative solutions.If you’re a visionary product leader with a passion for machine learning and a desire to make a meaningful impact in the healthcare industry, we’d love to hear from you.Hims & Hers is an equal opportunity employer and encourages applications from candidates of all backgrounds, experiences, and perspectives.You Will:Define and own the product roadmap for machine learning initiatives, aligning with company goals and delivering measurable business impactCollaborate with ML engineers, data scientists, and cross-functional teams to translate business needs into machine learning products and solutionsPrioritize product features and enhancements, balancing business needs, technical feasibility, and user impactOversee the end-to-end lifecycle of ML product development, from ideation to deployment, ensuring products meet customer and business expectationsDefine success metrics for ML-driven features and monitor performance post-launch, driving continuous improvements based on data and feedbackDrive innovation in areas such as personalization, recommendation systems, and predictive modeling to enhance customer experiences and improve operational efficienciesStay informed about emerging ML technologies and trends, identifying opportunities to integrate new capabilities into the Hims & Hers ecosystemAdvocate for best practices in machine learning product management, fostering collaboration between technical and non-technical stakeholdersYou Have:Bachelor’s or Master’s degree in Computer Science, Data Science, Product Management, or a related field; advanced technical degrees are a plus7+ years of product management experience, with at least 3 years focusing on machine learning or data-driven productsProven ability to deliver ML-powered products and features, with a strong understanding of the ML lifecycle and associated challengesExceptional problem-solving and analytical skills, with the ability to translate complex technical concepts into clear product requirementsStrong communication and collaboration skills, with experience working across engineering, data science, and business teamsHands-on experience with machine learning frameworks, tools, and technologies is a plusFamiliarity with healthcare, telehealth, or regulated industries is highly desirablePassion for leveraging technology to improve healthcare outcomes and deliver exceptional customer experiencesOur Benefits (there are more but here are some highlights):Competitive salary & equity compensation for full-time rolesUnlimited PTO, company holidays, and quarterly mental health daysComprehensive health benefits including medical, dental & vision, and parental leaveEmployee Stock Purchase Program (ESPP)Employee discounts on hims & hers & Apostrophe online products401k benefits with employer matching contributionOffsite team retreats #LI-RemoteWe are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.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.Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected] and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.

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