AI Technical Product Manager
KANINI
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
Vacancy posted a month ago
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