Director, Product Management

Epicor

Director of Product Management at Epicor overseeing cognitive ERP development. Leading AI-enabled product strategy and execution for the Prism developer platform across teams.

Posted 7/8/2026full-timeLehi • 🇺🇸 United StatesSeniorLead💰 $163,000 - $277,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in product management, particularly in AI and machine learning, with a focus on developing and scaling platforms, APIs, and SDKs. Proven ability to lead teams, drive adoption, and ensure quality through effective governance and metrics.

Highest-signal resume keywords

Product ManagementAI Domain ExpertiseDeveloper-Facing PlatformsPrompt EngineeringPython or C# Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementAI Domain ExpertisePrompt EngineeringAgent OrchestrationETL ConceptsData-Pipeline ConceptsOntology ThinkingKnowledge-Graph ThinkingAPIsSDKs

Soft Skills

LeadershipCollaborationCommunicationDecision-MakingAdvisory Engagement

Tools & Technologies

TensorFlowPyTorchScikit-learnAgentic Coding ToolsMCP-Era Integration

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in BusinessMBAMaster's in AI/ML

Industry Keywords

AIMachine LearningDeveloper ExperienceExtensibility FrameworksUsage-Based PricingOutcome-Based PricingGovernanceMulti-Tenant SafetyAdoption MetricsCommercial Model

Tech Stack

Tools & technologies

ETLPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Own the vision and multi-year roadmap for Prism as a platform, its core agents, and its architecture.
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.
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.
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.
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).

Requirements

What you’ll need

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). 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.

Benefits

Comp & perks

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