AI Principal Product Manager

Accountabilities:

• Own the product lifecycle from strategy and rapid prototyping through early user cohorts, iteration, launch, and ongoing optimization.
• Define the product vision, target audience, positioning, distribution strategy, category narrative, and long-term business opportunity in partnership with Product Marketing.
• Establish a clear product philosophy for trustworthy AI, determining when an AI experience should guide, ask questions, or take action while ensuring users remain in control.
• Run rapid build-measure-learn cycles, prototyping frequently, testing concepts with users and experts, and quickly discontinuing approaches that lack supporting evidence.
• Define product success metrics, instrumentation, and unit economics, including understanding and managing the cost of serving AI-powered experiences.
• Translate proprietary user, vendor, behavioral, review, and planning data into differentiated AI-powered product experiences.
• Make informed tradeoffs across models, context, memory, tools, caching, performance, and cost to create effective production AI experiences.
• Partner with product, engineering, design, marketing, and data science leadership to shape broader AI strategy and identify opportunities for new product capabilities.
• Build compelling product narratives that align executives and cross-functional teams around ambiguous and emerging problem spaces.
• Continuously use user feedback, experimentation, and performance data to refine the product roadmap and improve outcomes.

Requirements:

• 8+ years of product management experience in consumer products at scale, including recent hands-on experience shipping LLM-powered products such as assistants, agents, or copilots to real users.
• Demonstrated zero-to-one product leadership, with at least one product taken from an ambiguous concept through launch, measurement, and iteration, ideally within a larger organization.
• Strong working knowledge of modern AI technologies, including prompting, evaluation frameworks, agentic patterns, memory, and tool use.
• Ability to engage confidently in technical discussions with ML and AI engineering teams and translate technical capabilities into customer-focused product experiences.
• Strong understanding of the economics of AI in production, including cost per user and the tradeoffs between models, context, caching, performance, and product requirements.
• Proven commercial and category-building instincts, with experience launching products or experiences that required establishing new market positioning and demonstrating customer value.
• A clearly articulated perspective on AI autonomy, including when AI should guide, ask, or act and how users can maintain control.
• Founder-style mindset with a bias toward experimentation, rapid prototyping, learning through shipping, and navigating ambiguity.
• Executive-level communication skills, with the ability to turn complex and emerging concepts into clear narratives that align senior stakeholders and cross-functional teams.
• Strong analytical and measurement discipline, with the ability to establish meaningful success metrics for products without established benchmarks.
• Ability to let evidence and user data inform or challenge initial product assumptions.

Benefits:

• Annual salary range of $159,141–$272,813 USD.
• Additional compensation may include bonus, commissions, equity, or other applicable incentives.
• Medical, dental, and retirement benefits for eligible employees.
• Generous leave policies and programs supporting employee well-being.
• Fully remote work model with no regular in-office requirements.
• Opportunities for intentional in-person gatherings and team events to strengthen collaboration and connection.
• A collaborative environment focused on professional growth, meaningful work, innovation, and employee well-being.
• Equal employment opportunity and commitment to an inclusive workplace.