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Lead Product Manager, Machine Learning
Posted 21 days agoViewed
💎 Seniority level: Lead, 7+ years
🔍 Industry: Healthcare
🏢 Company: Hims & Hers👥 251-500💰 $75,000,000 Post-IPO Equity about 4 years agoWomen'sLifestyleWellnessHealth CareMen's
🗣️ Languages: English
⏳ Experience: 7+ years
Requirements:
- 7+ years of product management experience, with at least 3 years focusing on machine learning or data-driven products
- Proven ability to deliver ML-powered products and features, with a strong understanding of the ML lifecycle and associated challenges
- Exceptional problem-solving and analytical skills, with the ability to translate complex technical concepts into clear product requirements
- Strong communication and collaboration skills, with experience working across engineering, data science, and business teams
- Hands-on experience with machine learning frameworks, tools, and technologies is a plus
- Familiarity with healthcare, telehealth, or regulated industries is highly desirable
- Passion for leveraging technology to improve healthcare outcomes and deliver exceptional customer experiences
Responsibilities:
- Define and own the product roadmap for machine learning initiatives, aligning with company goals and delivering measurable business impact
- Collaborate with ML engineers, data scientists, and cross-functional teams to translate business needs into machine learning products and solutions
- Prioritize product features and enhancements, balancing business needs, technical feasibility, and user impact
- Oversee the end-to-end lifecycle of ML product development, from ideation to deployment, ensuring products meet customer and business expectations
- Define success metrics for ML-driven features and monitor performance post-launch, driving continuous improvements based on data and feedback
- Drive innovation in areas such as personalization, recommendation systems, and predictive modeling to enhance customer experiences and improve operational efficiencies
- Stay informed about emerging ML technologies and trends, identifying opportunities to integrate new capabilities into the Hims & Hers ecosystem
- Advocate for best practices in machine learning product management, fostering collaboration between technical and non-technical stakeholders
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