Principal Product Manager – Prism Workflow Engine

Epicor

Principal Product Manager at Epicor owning the Workflow Engine, overseeing product vision and execution. Driving successful AI integration and workflow management from build to market.

Posted 8/2/2026full-timeMilton • 🇺🇸 United StatesLead💰 $120,000 - $204,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management with a focus on workflow orchestration and distributed systems, ensuring seamless integration and functionality across engineering teams. Proficient in managing product vision, onboarding experiences, and customer pilots while leveraging technical depth in AI and coding.

Highest-signal resume keywords

Product ManagementWorkflow OrchestrationDistributed SystemsPython or C# ProficiencyWorkflow Orchestration Platform Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product ManagementWorkflow OrchestrationDistributed SystemsPrompt EngineeringAI Coding ToolsData Pipeline ConceptsKnowledge GraphsEvaluation MethodsPythonC#

Tools & Technologies

TemporalCamundaAWS Step FunctionsTensorFlowPyTorchScikit-learn

Industry Keywords

Product VisionCustomer PilotsOnboarding ExperienceTechnical DesignGovernance

Tech Stack

Tools & technologies

AWSDistributed SystemsERPPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Own the product vision and build sequence. Decide what ships first as you take the Workflow Engine from its initial build to market, and keep the roadmap tied to real demand from the teams that want to build on it, not to technical completeness for its own sake.
Define how work is represented and handed off. Own the core concepts that make the system work: how a unit of work is tracked from start to finish, and how information is passed cleanly between different parts of the system so nothing gets lost along the way.
Be the single product owner across all of the engine's functional areas: authoring (the tools people use to build and edit a workflow), execution (running workflows and connecting them to the ERP), quality (automated testing, simulation, and health monitoring), and governance (policy, approvals, and audit trails).
Own the system that classifies how reversible a given action is, and the framework that decides who needs to approve what.
Drive resolution of open questions the technical design has already surfaced, in partnership with the right team each time.
Partner with the other teams building on Prism so they choose to build on the Workflow Engine instead of building their own version.
Own the onboarding experience for a team running its first workflow on the system.
Lead the customer pilots that prove the system works on real workflows, including what happens when something goes wrong, not just the ideal case, before any broader rollout.

Requirements

What you’ll need

8+ years in product management, with a track record of shipping platform or infrastructure-style products that other engineering teams build on top of.
3+ years of experience with workflow orchestration, distributed systems, or applied AI/agent products, with real technical depth rather than purely commercial exposure.
Bachelor’s degree in Computer Science, Engineering, Business, or a related field (or equivalent experience). Advanced degrees are a plus.
Direct experience with a workflow orchestration platform (for example, Temporal, Camunda, or AWS Step Functions, or something comparable) is a strong plus.
Practical experience with prompt engineering, retrieval-based AI systems, evaluation methods, and agent orchestration, ideally including using AI coding tools to prototype directly.
Working proficiency in a language such as Python or C#, enough to read the system's code, prototype against it, and work credibly with engineers.
Familiarity with data pipeline concepts, knowledge graphs, and how modern AI systems connect to external tools and data.
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.