AI Technical Product Manager

JOB DESCRIPTION

The AI Product Manager is a senior individual contributor responsible for ensuring a product’s value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The AI Product Manager is accountable for the product’s success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop—automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making. The role plays a crucial part in ensuring the success of high value, moderately complex products by balancing customer needs with business objectives, requiring a blend of strategic vision, analytical skills, and collaborative teamwork, amplified by the fluent, responsible use of AI to learn faster and earn faster.

RESPONSIBILITIES

Responsible and accountable for the product’s value and viability showcasing a measurable Return on Investment (ROI). Drive strategy-aligned solutions to achieve product value objectives. Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve. Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO). Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen. Align product objectives with the product line and business goals. Co-create in collaboration with business stakeholders, engineering, experience, and delivery. Use AI to expedite research, gather evidence, bolster domain knowledge, and craft innovative visions backed by compelling strategic rationale. Conduct user research and competitive analysis, using AI agents to synthesize research at speed—accelerating the data crunching, ensuring the human connection. Engage the team with users and stakeholders through continuous research and direct interactions. Collaborate and guide the team toward solutions that address priority user and business needs. Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights. Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast. Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value). Amplify innovation by using AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios—charting new pathways for the business. Use AI agents to synthesize research and validate ideas before they enter the backlog—compressing lead time by accelerating the data crunching, ensuring the human connection. Amplify focus: act as Editor-in-Chief—using AI to rigorously test assumptions and retire ideas that do not.

QUALIFICATIONS:

8 to 10 years of proven experience in lean product management or related roles. Exceptional analytical and problem-solving skills. Learning-forward, experimental, and value-oriented mindset. Ability to navigate complexity and uncertainty Experience with modern agentic AI tools such as Claude Code, Claude Co-work, OpenAI Codex, Cursor, and Visual Studio Code. 3+ years enterprise scale experience across multiple business areas. 1+ years of building AI based intelligent products. 1+ years of experience using GenAI tools to perform product management tasks such as idea research, shaping, synthesis, roadmaps, requirements, prototyping, and testing. Limited immigration sponsorship may be available Kanini