Dir, Product Management

Epicor • Lehi, UT

23h • Remote

About The Position

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.

Requirements

• 12+ years in product management with a track record of launching and scaling technology products, preferably in AI, machine learning, or related fields.
• 4+ years of specialized experience in the AI domain, with demonstrated technical and market understanding.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field (or equivalent experience).
• Proven command of customer validation, prioritization, lifecycle management, and strategic roadmapping for complex products.
• Demonstrated skill building products that other builders build on: developer experience, APIs/SDKs, extensibility, golden paths, and adoption, with the judgment for what to centralize versus leave local.
• Strong working knowledge of LLMs, RAG/retrieval, agents and agent orchestration, evals, and AI UX, enough to make architecture and trade-off decisions, not just sponsor them.
• Comfort operating in a spec/eval/control-plane model, directing agent fleets, and prototyping directly. Familiarity with role convergence across Product/Dev/UX/Data Science and how to make broadened ownership work without role ambiguity.
• Data-driven decision-making and the financial fluency to build usage/outcome pricing and rigorous ROI cases.
• Understanding of how identity, auditability, controls, and reversibility translate into customer trust and competitive defensibility, for a platform that hosts others' agents as well as your own.
• Ability to lead converged, cross-functional teams and to communicate a clear, credible, non-hype platform vision to executives, customers, builders, and the field.
• Familiarity with modern, AI-assisted delivery, shift-left quality, and scalable SaaS / cloud platforms.

Nice To Haves

• Advanced degrees (MBA, Master's in AI/ML) are a plus.
• Shipped developer-facing platforms, APIs/SDKs, or extensibility frameworks that internal or third-party teams built on, with adoption to show for it.
• Practical experience with prompt engineering, RAG, evals, and agent orchestration, and ideally with agentic coding tools used to prototype and ship.
• Working proficiency in a language such as Python or C#, enough to read, prototype, and validate approaches with engineering and to direct agents credibly.
• Familiarity with ETL / data-pipeline concepts, ontology/knowledge-graph thinking, and the MCP-era integration landscape.
• Exposure to frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus.
• Previous ERP experience is a plus.

Responsibilities

• Own the vision and multi-year roadmap for Prism as a platform, its core agents, and its architecture. Sequence the roadmap with explicit dependencies across the data foundation, governance, and the ERP, and decide what ships first.
• Own Prism's core agents, the agent framework, and the architecture that lets agents act safely and scale: retrieval, ontology, the execution and governance model, and the surfaces other builders depend on.
• Make Prism a platform other teams build on. Own developer experience, golden paths, self-service onboarding, SDK/framework surfaces, extensibility, and the adoption metrics that prove it is working. Enable internal Epicor teams (Agent Foundry) and customers/partners (bring-your-own and custom agents) to build, and prevent duplicate, one-off builds.
• Help move Prism's commercial model from seat-based pricing toward usage- and outcome-based pricing (pricing the work, not the seat), including how platform usage and agents built on Prism are metered. Build the willingness-to-pay, value, and ROI analysis behind it, and be explicit about cannibalization trade-offs.
• Treat approvals, policy, audit trails, reversibility, identity, and multi-tenant safety as product capabilities, for Prism's own agents and for everything built on the framework. Make "responsibility as moat" operational in the roadmap.
• Lead small, agent-augmented teams. Direct agent fleets against governed guardrails, hold clear decision rights, and protect the expert nuclei (architecture, evals, data, reliability) that make broad ownership sustainable.
• Shift quality left. Define acceptance as eval evidence and outcome metrics captured in the workflow, not as a late gate, and ship that discipline as part of the framework so teams building on Prism inherit it.
• Partner with Product Marketing on go-to-market for the platform and the agents: reference customers, beta programs, sales and developer enablement, demo kits, and field narrative, leading with proof and risk absorption, not hype.
• Lead advisory engagement with both end customers and the internal/partner developers building on Prism, validate direction, and design the proactive, adoption-driving success model that AI platforms require, with continuous ROI demonstration.
• Stay current on agentic AI, retrieval, evals, ontology, and MCP-era integration (client, server, and control-point positioning). Fold emerging capability into the roadmap and the shared catalog so the portfolio compounds instead of duplicating.

Benefits

• Competitive Pay & Benefits
• Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
• Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
• Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
• Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
• Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
• Global Mobility: Comprehensive support for international relocations and permanent residency processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Director