other
Posted YesterdayDir, Product Management
at Epocare
United StatesOn-site
Responsibilities
- Sequence the roadmap with explicit dependencies across the data foundation, governance, and the ERP, and decide what ships first.
- Build the Core: 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.
- Scale the Platform (1-to-100): 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.
- Build the willingness-to-pay, value, and ROI analysis behind it, and be explicit about cannibalization trade-offs.
- 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.
Requirements
- 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.
- 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.
- You keep a clear primary discipline (product) and clear decision rights while absorbing adjacent work that AI now makes tractable.
- You partner with the AI Enablement function to prevent duplicate agents and fragmented standards across Epicor, and you keep the reusable surface coherent.
- AI will commoditize interaction with the ERP faster than it commoditizes responsibility for outcomes .
- AI is part of how we work every day, not a side initiative.
- What We'd Love to See Working Backwards for Two Customers: Mastery of customer empathy, working backwards from real painful workflows for end customers , and from real friction for the developers and teams who build on Prism .
- Go-to-Market & Developer Enablement: 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.
- Customer & Developer Advisory: 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.
- Trend Monitoring & Reuse : Stay current on agentic AI, retrieval, evals, ontology, and MCP-era integration (client, server, and control-point positioning).
- Applied AI Acumen: 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.
- Familiarity with role convergence across Product/Dev/UX/Data Science and how to make broadened ownership work without role ambiguity.
- Governance & Trust: 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.
- Agile & SDLC + Cloud/SaaS: Familiarity with modern, AI-assisted delivery, shift-left quality, and scalable SaaS / cloud platforms.
- Previous ERP experience is a plus. Required
- AI Domain Depth: 4+ years of specialized
- experience in the AI domain, with demonstrated technical and market understanding.
- Education: Bachelor's degree in Computer Science, Engineering, Business, or a related field (or equivalent experience).
- Advanced degrees (MBA, Master's in AI/ML) are a plus. Additional
- experience with prompt engineering, RAG, evals, and agent orchestration, and ideally with agentic coding tools used to prototype and ship.
- Programming Skills: Working proficiency in a language such as Python or C#, enough to read, prototype, and validate approaches with engineering and to direct agents credibly.
- Data & Integration Exposure: Familiarity with ETL / data-pipeline concepts, ontology/knowledge-graph thinking, and the MCP-era integration landscape.
- ML Frameworks: Exposure to frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus.
- Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP.
- From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters.
Benefits
- Strategic Direction & Prioritization: You set the vision and force-rank the bets, tying every bet to a workflow, a value pool, a moat, and a monetization path. Duties &
- Responsibilities Strategic Direction & Roadmap: Own the vision and multi-year roadmap for Prism as a platform, its core agents, and its architecture.
- Leadership & Communication: Ability to lead converged, cross-functional teams and to communicate a clear, credible, non-hype platform vision to executives, customers, builders, and the field.
- And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay &
- Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
- Range: Minimum: $163,000 USD Maximum: $277,000 USD The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation.
- Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.
Additional details
- 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.
- Epicor Epicor is a technology leader in ERP for manufacturing, distribution, and retail, with deep roots in both enterprise software and startup culture.
- 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.
- Adoption, reuse, developer experience, and golden paths are first-class outcomes, not afterthoughts to the core agents.