Senior Product Manager — AI Foundry Team
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About the Role
About MAIA
MAIA is our next leap in AI, an always-available assistant that amplifies human insight. By integrating directly into our workflows, it turns AI into true Augmented Intelligence, extending our creativity, judgment, and expertise. Built on a multi-agent framework, MAIA connects specialized tools, data sources, and reasoning systems through one interface, so you can do more, think deeper, and deliver sharper outcomes for clients.
About the Role
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 da
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