Hiring: Senior Product Manager — AI Foundry Team Company: Prophet Location: New York, United States Job Posted Time: 2026-09-09 18:04:43 Target Skills & Keywords : Clean Architecture, Foundry, Go, LLM, Make, Python, RAG, TestNG About the job Required Skills: •The Senior Product Manager for the AI Foundry team will own the execution, delivery, and continuous improvement of MAIA — Prophet’s internal multi-agent AI platform. Working from the strategic direction set by the AI Center of Excellence, you will translate high-level ambition into shipped product capabilities, measurable adoption, and trusted AI experiences. •This role requires product judgment, technical fluency, delivery discipline, and AI systems thinking. You will partner closely with engineering to evaluate feasibility, shape architecture tradeoffs, define acceptance criteria, and ensure MAIA is reliable enough for real consulting work. You will help determine what should be built, how it should work, and whether it is good enough to ship. •Your Day to Day •Roadmap, Delivery & Team Leadership — Own the product backlog and release cadence from planning through launch. Assess technical feasibility and architecture tradeoffs so leadership can make informed prioritization decisions. Define acceptance criteria grounded in user value, system constraints, and release quality. Lead day-to-day execution of the Foundry product team — unblocking work, setting priorities, and driving momentum through ambiguity. •Technical Credibility & Engineering Partnership — Maintain hands-on technical involvement — building prototypes, reviewing code, and running experiments. Partner with engineering on specifications, sprint execution, QA, release sign-off, and architecture decisions. Comfort with Python, LLM tooling, agent frameworks, APIs, and data schemas is expected. •AI Evaluation, Quality & Observability — Define how MAIA capabilities are evaluated before and after launch. Create testing protocols for agent accuracy, hallucination risk, tool use, latency, and reliability. Build benchmark sets, red-team scenarios, regression tests, and release gates. Monitor production performance — failure rates, cost, user drop-off — and translate telemetry and incident data into product fixes and roadmap priorities. •Experimentation & Technical Tradeoff Analysis — Design and run experiments to test new agent capabilities, benchmark model performance, and translate results into go/no-go recommendations. Evaluate approaches such as RAG, knowledge graphs, agent orchestration, API integration, and model selection against complexity, cost, latency, accuracy, and maintainability. Present clear recommendations with explicit tradeoffs and a bias toward shippable solutions. •Agent, Workflow & Application Development — Gather high-value use cases from consulting teams and translate them into agent specifications, workflow diagrams, tool requirements, and acceptance tests. Manage the agent lifecycle from prototype through production, including prompt design, testing, monitoring, and deprecation. Support client-facing applications by coordinating feature requirements and contributing to implementation. •Data, Security & Governance — Work with IT, security, legal, and business stakeholders to ensure MAIA handles enterprise data respon Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!