Product Manager — AI Foundry Team

Prophet•New York, NY

14h•Hybrid

About The Position

The Product Manager for the AI Foundry team is responsible for the day-to-day execution, technical coordination, and operational management of MAIA — Prophet's multi-agent AI platform. Working under the strategic direction set by the AI Center of Excellence (CoE), you will translate the CoE's vision for AI at Prophet into tangible product outcomes. This role is hands-on and increasingly technical: you will design and code experiments to validate new capabilities, evaluate competing technical approaches and surface strategic tradeoffs, coordinate directly with Lyzr's engineering and CTO staff, and contribute to full-stack client-facing applications — all while ensuring releases ship on time and at quality.

Requirements

2+ years of experience in product management, management consulting, project management, or a similar role involving cross-functional coordination and structured problem-solving.
Technical aptitude and willingness to get hands-on — comfortable learning to read and code (Python preferred), navigating APIs and data schemas, and engaging in architecture discussions with engineers.
Strong organizational and communication skills — ability to manage multiple workstreams, write clear specifications, and present confidently to both technical and business audiences.
Technically Driven — eager to open the codebase, run experiments, and prototype solutions.
Architecturally Curious — ability to learn to evaluate technical approaches, weigh tradeoffs across performance, cost, and complexity, and present clear recommendations to non-technical stakeholders.
Consulting-Minded — understanding of how consultants work and what makes a tool genuinely useful in client engagements.
Proactive Communicator — ability to surface issues early, ask precise questions when unclear, and keep stakeholders informed and aligned.
Builder-Oriented — excited to prototype and build things quickly.
Fun & Collaborative — brings positive energy, enjoys collaboration, and makes people around them better.

Nice To Haves

Experience in a technical or engineering-adjacent environment is a strong plus but not required.
Experience with LLMs, agent frameworks, or AI/ML tooling is a bonus.
Familiarity with no-code and low-code tools such as Claude Code is essential.
Experience with developer tools such as Visual Studio, Vercel, and Supabase is a plus.

Responsibilities

Support the CoE in translating strategic priorities into an executable product backlog and contribute to the release cadence from development through launch.
Judge the technical architecture and feasibility of proposed ideas, answering "Can we do this?" and "How hard is it?"
Define acceptance criteria grounded in technical feasibility and system architecture constraints.
Drive conversations with the Lyzr CTO and engineering team around technical needs for new features.
Write detailed specifications, participate in sprints, conduct QA, and manage release sign-off.
Facilitate in-depth technical Q&A sessions with Lyzr's engineering staff to resolve architecture decisions, debug integration issues, and align on implementation approaches.
Design and run experiments to test new agent capabilities — including building agents, running scaled agent testing protocols, and benchmarking model performance across use cases.
Translate experiment results into clear go/no-go recommendations for the CoE.
Evaluate core business requirements and financial needs against the technical requirements and complexity needed for new MAIA features.
Assess different technical approaches for platform capabilities (e.g., Prophet knowledge graph design, API integration patterns, retrieval-augmented generation strategies) and surface strategic tradeoffs to leadership with clear framing of cost, speed, accuracy, and maintainability.
Gather use cases from consulting teams, draft agent specifications with defined data flows and system prompts, and manage the agent lifecycle from build through launch and iteration.
Participate directly in prompt engineering and agent testing.
Support the development of full-stack client-facing applications on the MAIA platform (e.g., custom-built tools for clients like Alcon) by coordinating feature requirements, contributing to front-end and back-end implementation, and managing UX feedback and testing cycles.
Coordinate across design, engineering, consulting, marketing, and IT/security teams; prepare technical demos, architecture documentation, release notes, and status updates.
Track product and system metrics (adoption, usage, latency, error rates, satisfaction) and present performance reports to CoE leadership.