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.
• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to others.