Product Manager -AI

Overview

Every AI agent in Prism needs two things to do real work: an accurate, shared picture of how a customer’s business fits together, and a safe way to read from and write back to it. The Prism Platform is that shared foundation, a knowledge layer that describes a customer’s business objects and rules, a common way of representing data across different underlying ERP systems, and a structured, per-customer record that carries context cleanly from one part of the system to another. You own how that foundation evolves: what gets modeled, how it’s exposed to the teams and agents that depend on it, and how it gets more accurate and more useful the more it’s used.

This is a product role at the center of the platform, not on top of it. You will work with the teams building specific AI products and workflows to make sure they get what they need from the platform, and with the engineers building the platform itself to decide what gets prioritized next.

Epicor

Epicor is a technology leader in ERP software for manufacturing, distribution, and retail, with deep roots in both enterprise software and startup culture. Our product organization is in the middle of a deliberate move to a platform-first, AI-enabled delivery model: building shared capabilities that many teams can build on, broadening how roles work together, and removing the silos and handoffs that slow good teams down.

How This Team Works

The biggest change versus a traditional PM job is how the work gets done. We expect this leader to operate fluently in the model below, and to help the rest of the org adopt it.

• Built as a platform, not a feature. The Prism Platform exists to be depended on by every other part of Prism. Ease of adoption for the teams building on it, and the quality of the shared foundation it provides, are the real measures of success, not any single feature.

• A small team, not a feature factory. Delivery happens in a lean, cross-functional team working closely together against a system with built-in human oversight. You are inside that loop as the product decision-maker, not reviewing status from the outside.

• Roles blur on a team like this. The lines between product, engineering, design, and architecture blur on a team this size. You work directly in specs, cross-team sequencing decisions, and real usage data, not a backlog handed over a wall. You keep clear ownership of product scope and decisions while picking up adjacent work that a small team requires.

• Evidence. Decisions about what the platform should model and expose next are grounded in real demand from the teams and agents that depend on it, not opinion. You own the success criteria.

• Reuse before rebuilding. The whole point of a shared foundation is that other teams stop building their own version of the same thing. You own the shared set of building blocks other teams draw from, and keep it coherent as more teams build on it.

• Share openly. Open questions, usage patterns, and outcomes are shared across the org so people can see clearly what the platform can and can’t yet promise.

What We’d Love to See

• Empathy for two different customers. Real understanding of the end customer whose business data and context flow through the platform, and of the engineering and product teams deciding whether to build on it or work around it. You validate both before committing to a build.

• A platform mindset. You think about ease of adoption, reusable building blocks, and how many teams choose to build on your system the way a good platform product manager thinks about retention, not the way a feature team thinks about a single roadmap.

• Working Backwards: Demonstrates mastery of customer empathy, working backwards from customer pain points to validate the customer problems, ideal customer profiles, and value propositions.

• ‘Founder Mode’ Mindset: Demonstrates an entrepreneurial spirit by taking full ownership, embracing creative problem-solving, and relentlessly challenging the status quo to drive innovation and continuous improvement.

• Prototyping Pro: Quickly generates prototypes to get early feedback from internal stakeholders and customers.

• Strategic Direction & Prioritization: Lead the orchestration of strategic direction and set priorities for our AI applications and functionalities. Define the vision and roadmap that drive innovation in AI-driven products.

**Duties & Responsibi…