Builder, not just author. Move beyond specifications to build lightweight business models, decision flows, prototypes, and AI-assisted experiments that stakeholders can evaluate before engineering commits — using AI-assisted development to check in production-ready code for enhancements where it accelerates learning. The goal is to shrink the distance between an idea and validated business value. Systems thinker. Sees every feature as a node in a larger system rather than a standalone deliverable — thinking end-to-end from upstream inputs to downstream impact. Asks "how should the system behave to achieve the outcome?" rather than "what feature should we build?" Uses AI to model systems, expose hidden dependencies, generate edge cases, and evaluate downstream impacts before implementation begins. Intelligent orchestrator. Treat AI as a reasoning partner that challenges assumptions, proposes alternatives, and automates routine coordination — synthesizing requirements, summarizing decisions, and surfacing risks — so your time is reinvested in ambiguous problems and strategic calls. Decision architect. Shifts from "is the requirement complete?" to "do we have evidence the solution will achieve the outcome?" Defines evals up front and lets data — not opinion — drive the call, generating evidence through business-rule simulation, scenario modeling, edge-case generation, and prototype validation. Correctness before code. Bachelor's Degree AND 5 years of experience in product / service / program management or software development, OR equivalent experience. Demonstrable experience building and shipping AI applications and agents — such as conversational UX, agent frameworks, and/or GPT / Copilot solutions. Hands-on builder: proven ability to prototype applications yourself using AI development tools Recent shipping experience of AI and agentic solutions to solve a business problem and strong awareness of the rapidly evolving AI landscape Track record of using AI tools to increase personal and team productivity Demonstrated use of AI across the build pipeline — AI-assisted coding (e.g., GitHub Copilot), AI-generated tests, and AI-assisted code review — to increase engineering throughput and ship more with the same team. Hypothesis-driven and experiment-oriented: comfortable prototyping, validating with real telemetry, and making fast scale-or-kill decisions. Ability to build data-driven product experiences — define metrics and evals, and use analytics and telemetry to derive insights for product and business decisions. Self-starter with curiosity, comfortable with ambiguity and rapidly changing environments; strong cross-group collaboration, problem-solving skills, and a demonstrated growth mindset. Set the Strategy Own the vision and roadmap. Define a multi-quarter product strategy for AI-first applications, translating business goals into a coherent portfolio of prioritized scenarios and bets. Envision the next wave. Lead scenario envisioning and UX & technical product design for agentic and Copilot-powered experiences; advise on GTM, adoption, and evolving portfolio strategy. Shape long-term direction. Lead prioritization, backlog management, and cross-team alignment, focusing teams on the highest-impact work Increase Productivity with AI Apply AI to the product loop. Establish patterns, templates, and internal tools that make PMs and engineers across the team measurably more productive.
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