Lead Product Manager, AI

Become a part of our caring community and help us put health first

The Lead Product Manager works with cross-functional teams of engineers, designers, data scientists, and business stakeholders to build AI-powered solutions that solve real enterprise problems. We are looking for a product leader who values moving quickly, from deeply understanding a business challenge to prototyping an AI solution to proving its value. You will lead and drive a complex product area within our applied AI portfolio, define what success looks like, build and develop with the team, and drive step-change results across the organization.

• Be responsible for leading and driving a complex product area within our applied AI portfolio, defining success, prioritizing problems, and identifying the best AI-driven strategies considering wider organizational context. Adapt and adjust strategies to reflect learnings and changes.

• Partner directly with business units to deeply understand their operations, capture requirements, map processes, and identify the most significant opportunities for AI-driven improvement.

• Translate business problems into clearly scoped AI use cases and drive them from concept through prototyping, evaluation, and validation.

• Lead rapid prototyping of AI solutions, including GenAI applications, AI agents, conversational AI, and intelligent automation, to demonstrate feasibility and business value.

• Work with a cross-functional team of engineers, designers, and data scientists to define product vision, develop roadmaps, and drive progress against goals and milestones, while improving team health and up-leveling team effectiveness.

• Gather and analyze user research, business process data, and market analysis to inform product decisions and influence the wider product organization.

• Lead the development of evaluation frameworks to test, benchmark, and compare AI models and platforms against enterprise success requirements.

• Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas.

• Develop reusable product frameworks, playbooks, and best practices that accelerate AI solution delivery across the organization.

• Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.

• Communicate product strategy, progress, and business value with radical clarity to all stakeholders.

• Support the growth of PMs and cross-functional team members by providing mentorship, coaching, and hands-on guidance.

• 7+ years of relevant industry experience with at least 3 years in product management.

• Experience leading cross-functional product team(s) across a full product line: crafting product mission and strategy, defining requirements, coordinating resources, and driving the team to achieve key milestones and goals.

• Demonstrated experience working directly with business stakeholders to gather requirements, map processes, and identify high-impact opportunities for AI-driven improvement.

• Hands-on experience prototyping or building AI-powered solutions, not just managing them from a distance.

• Experience with AI/ML products and platforms in enterprise environments, including GenAI applications, conversational AI, or intelligent automation.

• Proven ability to drive a step change in the performance of a product and the effectiveness of the team that delivers it.

• Experience managing products through the full lifecycle, from discovery through prototyping, validation, and deployment support.

• Extensive understanding in analyzing large-scale, complex data sets and making effective decisions based on data.

• Experience integrating a diverse set of requirements from a broad set of users and business contexts into a single coherent product strategy.

• Deep understanding of AI/ML concepts and their practical implications for enterprise product design and process improvement.

• Experience with GenAI platforms, prompt engineering, AI agent frameworks, and rapid AI prototyping approaches.

• Knowledge of AI solution architectures (e.g., RAG, conversational AI, vector databases) sufficient to evaluate feasibility and guide implementation.

• Ability to lead the development of evaluation frameworks for assessing AI model and platform performance.

• Familiarity with design and prototyping tools (e.g., Figma, Miro) to communicate product vision and guide designers.

• Understanding of human-centered design principles and data visualization for AI-powered applications.

• Knowledge of responsible AI principles, bias mitigation, and ethical AI design.

• Ability to synthesize complex information and translate between business language and technical concepts with radical clarity.

• Experience with product strategy, roadmap planning, feature prioritization, and agile delivery.

• Ability to build compelling business cases and ROI models that drive AI investment decisions.

• Experience leading…