Key Responsibilities

• Own the product vision, strategy, and roadmap aligned with January AI’s mission and commercial goals.
• Lead and grow a team of product managers and designers to execute across consumer, clinical, enterprise, and data products.
• Collaborate closely with Engineering, Data Science, Clinical, and Commercial teams to deliver seamless, high-impact experiences.
• Ensure all products are grounded in user research, evidence-based health science, and measurable outcomes.
• Translate complex AI and multiomic data into actionable insights for consumers and clinicians.
• Establish strong product processes: planning, execution, QA, user testing, sprint rituals, and stakeholder communication.
• Own product analytics, KPIs, and usage metrics to inform decisions and drive continuous improvement.
• Represent the voice of the user internally and with external partners, payers, and healthcare systems.
• Guide regulatory and compliance-related product decisions (HIPAA, FDA, etc.) in partnership with Clinical and Legal teams.
• Champion a culture of rapid iteration, data-informed decision-making, and exceptional user experience.

Qualifications

Required

• 8+ years of experience in product management, with 4+ years in a leadership role managing product teams.
• Proven success shipping and scaling products in digital health, AI/ML-powered software, or consumer SaaS.
• Track record of building B2C or B2B2C health products with high engagement and retention.
• Strong user empathy and ability to synthesize qualitative and quantitative feedback into actionable insights.
• Familiarity with product development lifecycle, Agile/Scrum methodologies, and working in regulated environments.
• Experience with mobile and web app development, API integrations, and cross-platform consistency.
• Exceptional communication and cross-functional leadership skills.
• Comfort working in a fast-paced, startup environment with shifting priorities and rapid execution.

Preferred

• Technical background or experience working with machine learning, sensor data, or connected devices.
• Understanding of healthcare data standards (HL7, FHIR, etc.).
• Experience with glucose monitoring, metabolic health, or wearable health products.
• Background in behavioral science, habit formation, or health coaching product models.