Product Engineering: Applied AI Product Manager

Product Accountability

• Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
• Drive strategy-aligned solutions to achieve product value objectives
• Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve
• Measure KPIs and analyze outcomes to inform future strategies
• Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO)

Vision and Strategy

• 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 and innovative visions backed by compelling strategic rationale

Market and User Engagement

• 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
• Adopt analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights
• Apply innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast

Collaboration and Teamwork

• Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes
• Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value)
• Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools
• Continuous Improvement: Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives
• Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane
• Spread knowledge and best practices within the product vertical community

Applied AI Ways of Working

• Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios-charting new pathways for the business
• Amplify learning: 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 genuinely serve the user's workflow in a way that works for the business
• Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often

Qualifications

• Bachelor's degree in business, Marketing, Engineering, or a related field
• 6+ years of proven experience in lean product management or related roles
• 3+ years enterprise scale experience across multiple business areas
• 1+ years of building AI based intelligent products
• 1+ year's experience in using GenAI tools to perform product management tasks like conduct idea research, shaping, synthesis, roadmaps, requirements, prototyping, testing
• Limited immigration sponsorship may be available

Preferred

• MBA or related advanced degree
• Demonstrated experience in modern product craft of delivering the right thing, in the right way, at the right time
• Significant experience in lean product management craft and domain (tools, methods, and practices)
• Seen as a leader in this space
• Proven accountability for value, viability and P&L objectives for a product and for an empowered product team
• Customer-Centricity: Deep understanding of customer needs and engagement patterns, driving teams to deliver solutions that customers love and that work for the business
• Expertise in applying customer-centric methods and practices
• AI Agentic Fluency: Comfortable orchestrating multiple AI agents across the concept-to-cash flow (research, insight, prototyping, specification, coding, and compliance), with guardrails at each hand-off-assumptions, confidence levels, and links to sources of truth
• AI Realism and Eval Fluency: Understands the difference between deterministic logic and probabilistic generation; designs guardrails for hallucination, bias, and drift; uses evaluation harnesses before launch and monitors drift after, with a kill-switch mentality-and knows when not to use AI
• Experience with modern agentic AI tools such as Claude Code, Claude Co-work, Open AI Codex Cursor, and Visual Studio Code