Responsibilities
- Define and own the vision, strategy, and roadmap for LLM-based product innovation across Headspace
- Identify, prototype, and validate high-impact generative AI use cases in partnership with engineering, research, and design
- Translate complex LLM capabilities into intuitive, valuable user experiences
- Drive cross-functional alignment across product, data science, design, go-to-market, and operations
- Establish scalable frameworks, best practices, and reusable systems for LLM integration
- Evaluate external tools, vendors, and partnerships to inform build vs. buy decisions
- Define success metrics and KPIs to ensure LLM initiatives deliver measurable user and business outcomes
- Serve as an internal thought leader and champion for responsible, forward-looking AI innovation
Requirements
- 10+ years in product management with at least 3+ years leading AI or machine learning initiatives
- Strong technical fluency in Large Language Models (LLMS), generative AI, natural language processing, and AI-driven product development
- Proven ability to take emerging technologies from exploration to scalable product impact
- Strategic thinker with the ability to execute, balancing long-term vision with delivery, user-first mindset with a track record of translating technical capabilities into customer value
- Exceptional communication and cross-functional leadership skills
- Strong understanding of the generative AI landscape, including vendors, research trends, and regulatory considerations
Location
- San Francisco (hybrid), Los Angeles (remote), New York City (remote), Seattle (remote)
- Candidates must permanently reside in these US cities
- Hybrid model in San Francisco involves working 3 days per week onsite
Pay & Benefits
- Base salary range: $205,200-$327,750 plus equity and benefits
- Benefits include stock awards, healthcare coverage, wellness stipend, retirement match, membership, and parental leave