Dir, Product Management

## Dir, Product Management Apply remote type:
Hybrid locations:
US, Lehi:
US, Milton:
US, Taylor:
US, Buffalo:
US, Eau Clairetime type:
Full time posted on:
Posted Yesterday job requisition :
JR104802
** Overview
* * Help build the world's first Cognitive ERP.This leader owns the product strategy and execution for Prism, Epicor's developer platform and customer-facing agent framework over our ERPs. The job has two halves: build Prism's core agents and architecture, and scale Prism into a platform that other teams across Epicor, and our customers and partners, build on.

This is primarily a 1-to-100 role, not a 0-to-1 one. There are real 0-to-1 elements (new core agents, new framework surfaces, new architecture), but the center of gravity is taking what works and scaling it, turning Prism into a platform-as-a-product with the developer experience, golden paths, governance, and reuse that let many teams ship agents on it instead of each rebuilding their own.

AI is built into the work itself: into how Prism is built, how teams build on it, how it is governed, and how it earns revenue. You set the vision and roadmap for Prism's agents, agent framework, retrieval, ontology, extensibility, and AI UX, while operating in the AI-native way of working our product organization is moving to.
** Epicor
* * Epicor is a technology leader in ERP 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: converging products to destination platforms, broadening team roles, and treating shared capabilities as products that teams consume rather than rebuild. Prism is one of those shared capabilities, and this role is at the front of making it one teams want to build on.
** How This Team Works (the Agentic Operating Model)
** 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.
* ** Platform as a product.
** Prism is built for the people who build on it. Adoption, reuse, developer experience, and golden paths are first-class outcomes, not afterthoughts to the core agents. Success is measured by how much other teams ship on Prism instead of rebuilding.
* ** Frontier teams, not feature factories.
** Delivery happens in small, human-led, agent-augmented teams (typically a few strong engineers/designers plus a fleet of specialist agents) operating against a human-governed control plane. The PM is inside that loop, not adjacent to it.
* ** Role convergence.
** In the agentic era, the lines between Product, Development, UX, and Data Science blur. The PM is a decision-maker who works directly in prototypes, specs, and evals, not a backlog groomer or status tracker handing requirements over a wall. You keep a clear primary discipline (product) and clear decision rights while absorbing adjacent work that AI now makes tractable.
* ** Spec, eval, control plane.
** The unit of work is a clear spec, the evals that prove it, and supervised agent execution against governed guardrails. "Done" is defined by evidence (eval pass rates, traces, and outcome data) captured continuously, not validated at the end. The framework you ship gives the teams building on Prism the same discipline.
* ** Reuse before rebuilding.
** Prism is the platform that makes reuse possible: a shared agent catalog, approved patterns, and eval templates. You partner with the AI Enablement function to prevent duplicate agents and fragmented standards across Epicor, and you keep the reusable surface coherent.
* ** Responsibility as the moat.
** AI will commoditize
* interaction* with the ERP faster than it commoditizes
* responsibility for outcomes*. Governance, identity, auditability, controls, and reversibility are first-class surfaces, both for Prism's own agents and for everything built on it.
* ** Learn by sharing.
** Wins, failures, prompts, and evals are shared openly so fluency compounds across the org. AI is part of how we work every day, not a side initiative.
** What We'd Love to See**
* ** Working…