Product Manager, Agent Enablement

Responsibilities

Be responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment. Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects. Translate AI capabilities into compelling product visions that create differentiated value. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement. Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-leveling the effectiveness of the team. Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas. Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability. Foster a culture of rapid experimentation and learning across the organization. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time. Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices. Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals. Orchestrate complex execution across multiple workstreams by combining AI automation with strategic human oversight-using AI to reduce toil while maintaining high quality and accountability. Communicate product strategy and progress with radical clarity to all stakeholders. Use AI-enabled tools to build products-independently creating tangible artifacts to prototype, validate, or ship. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning. Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes; lead credible technical discussions with engineering partners. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization. Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions. Define and run evaluations to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams.

Qualifications

8+ years of relevant industry experience with at least 3 years in Product Management Demonstrated ability to derive product direction from production system data - deciding what to build next from evals, telemetry and user failure modes rather than from stated requirements Experience leading cross-functional team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels Experience leading and motivating teams and influencing across an organization Demonstrated proficiency using AI-enabled tools to build product artifacts Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy Experience identifying and hiring the right talent to build an AI-capable cross-functional team Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data Experience with comprehensive AI evals, monitoring and data strategies that enable continuous improvement of deployed AI systems Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences) Advanced degree in Computer Science, Machine Learning or a related technical field Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated experience deploying and operating conversational AI in a regulated, high-volume or mission-critical customer facing environment - including end-to-end system design and API architecture, tools and protocols drive end-to-end automation