Principal Product Manager, LLM Innovation

Headspace•Seattle, WA

8h•Hybrid

About The Position

We are seeking a Principal Product Manager, LLM Innovation to lead how Large Language Models (LLMs) are applied across Headspace to unlock new product capabilities, elevate member experiences, and drive business impact. Sitting at the intersection of product strategy, AI, and customer needs, this role owns the roadmap for LLM-driven innovation, guiding cross-functional teams to explore, validate, and scale generative AI solutions that support personalized care and engagement throughout the wellness journey. As the product leader in this space, you will translate emerging LLM opportunities into practical, user-centered products that align with business goals, accelerate responsible innovation, and position Headspace as a leader in applied generative AI within mental health and well-being.

Requirements

10+ years in product management with at least 3+ years leading 10+ years of product management experience, including 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

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