Peach Pilot Product Manager

Peach Pilot: Senior Product Manager

Atlanta, GA (Buckhead) | Hybrid (3 Days In-Office) | 7+ Years Experience

The Company

Most AI companies sell tools. We transform how businesses run.

Peach Pilot builds a platform that ingests everything about how a company operates — every system, every process, every signal — and constructs a Company Brain: a living knowledge graph that connects people, decisions, and outcomes across the entire organization. We deploy 92 pre-built AI agents that work together across every business function, governed by humans at every critical step. The system gets smarter with every interaction.

We don’t sell software licenses. We embed into a client’s operation, learn their business in weeks, show them what’s broken backed by their own data, and redesign their highest-impact business functions with AI. Insurance is our first vertical and our first client engagement is already scoped and funded — with expansion across multiple verticals planned on the same platform and methodology.

Peach Pilot is co-founded by Mario Montag (Predikto acquired by a Fortune 50; McKinsey, PwC) and JP James (Hive Financial Assets, Georgia Tech, TITAN 100). We have a working platform with live infrastructure and a proven data-to-insights methodology.

The Role

This is the role that decides what we ship — and why.

As Senior Product Manager, you own the product surface across the Company Brain, the 92-agent library, and the workflows that take a client from kickoff to live deployment. You decide what gets built next, in what order, and for which client problem. You report directly to Mario Montag, CEO and Co-founder, and you operate as a peer to the engineering and QA functions.

This is not a roadmap-curation role. We are early, the platform is live, and the first client engagement is scoped and funded. We need a PM who can land on day one, get into the data, sit across from an insurance executive, and ship product against real customer pain — fast. Visionary roadmaps without immediate customer value are not what this role is about.

You will be the voice that translates insurance domain pain and field signal into a prioritized, defensible product plan — and the person who keeps the team focused on the work that delivers value to the client in front of us, while protecting the platform for every client that comes after.

What You’ll Own Build

Product Strategy Prioritization

Own the product roadmap across the Company Brain, agent library, and integration layer. Decide what we build next based on what the active client engagement needs, what the platform needs to scale, and what unlocks the next vertical. Defend trade-offs with data, not opinion.

Insurance Vertical Depth

Go deep on the insurance customer’s actual operating pain — claims, underwriting, distribution, policy servicing, agency operations. Translate that pain into product requirements the engineering team can build into the platform. You are the person who knows the domain cold.

Agent Library Capability Definition

Define what individual agents do, where the human-in-the-loop sits, and how agents coordinate across a workflow. Partner with engineering on agent runtime decisions and with QA on the eval frameworks that prove agents are doing what we say they do.

Discovery, Validation, and Customer Voice

Run discovery directly with insurance executives and operators — not through a layer of researchers. Validate hypotheses with the client’s own data. Bring back findings that change the roadmap when the data says they should.

Cross-Functional Execution

Partner with engineering on what’s feasible and what’s next, and with QA on the quality bar before anything reaches a client. This is a startup — lanes will blur, work will cross over, and you will own outcomes that don’t fit cleanly into a job description. The right person is energized by that, not threatened by it.

Trust-Building with Executives

Our buyers and users are CEOs and operations leaders. Sit across from them, understand their business pressure, and turn that into a product story they can stake their own credibility on. Translate complex platform decisions into language that builds confidence.

The Environment You’ll Work In

AI/LLM: Anthropic Claude, OpenAI GPT, LiteLLM (multi-model routing)

Agent Orchestration: Custom-built agent runtime with reinforcement learning loops, inter-agent coordination protocols, and continuous learning across a 92-agent hierarchy

Backend: Python (FastAPI), async agent runtime

Data Graph: Memgraph, Neo4j, Qdrant, PostgreSQL, Redis

Integrations: Nango (700+ connectors)

Infrastructure: Google Cloud Platform, Docker

You don’t need to build in this stack — but you need to be fluent enough to make smart product decisions about it, and credible enough that the engineers building it want you in the room.

Who You Are

7+ Years in Product. You have shipped product at companies where the customer feedback loop is short, the stakes are real, and the r…