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Principal Product Manager, LLM Innovation Remote NY; Remote - Seattle, WA;

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: Headspace
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 205200 - 327750 USD Yearly USD 205200.00 327750.00 YEAR
Job Description & How to Apply Below
Position: Principal Product Manager, LLM Innovation New Remote - New York City, NY; Remote - Seattle, WA;[...]

Overview

About the Principal Product Manager, LLM Innovation at Headspace:

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.

What you will do
  • 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
  • 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
What you will bring

Required Skills:

  • 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
Location

We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week.

Your recruiter will share more details about our hybrid model.

Salary and Total Rewards

The anticipated new hire base salary range for this full-time position is $205,200-$327,750 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.

Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help…

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