Senior Product Manager | Forward Deployed Engineering

Senior Product Manager — Forward Deployed Engineering

At Epicor, we are building the world's first cognitive ERP, and Forward Deployed Engineering is how we prove its value inside our most strategic accounts. We are looking for a product leader with a builder's mindset to own this team and drive the underlying product strategy.

As the Senior Product Manager, Forward Deployed Engineering (FDE), you will lead an embedded team of engineers working on-site with customers. You will own the strategy, roadmap, and outcomes for the solutions they ship. In this role, you will establish the operating model for strategic account engagement, prioritize key technical problems, and scale field learnings into durable improvements for Epicor's core platform.

This is a hands-on leadership role. You will guide and grow the FDE team, partner directly with customers and executives, and make critical technical decisions. You will also build and prototype solutions directly when speed demands it. This role offers true ownership, direct customer access, and a mandate to move fast.

Why This Role Is Different

The forward deployed engineering model places technical talent directly at the point of action. Engineers operate where the problems live, feeding critical insights back into the core product. Leading this function is one of the highest-leverage product roles in the company because you sit at the intersection of customer reality and the product roadmap.

For our customers, the work lives on the shop floor, in the warehouse, in the distribution center, and in the retail back office. Building a workflow in a sandbox is only a small fraction of the challenge. Success requires navigating complex enterprise realities: legacy data models, decades-old integrations, SSO security reviews, compliance constraints, and building trust with customer teams. Your job is to lead a team that consistently navigates these complexities and transforms breakthroughs into reusable patterns for future deployments.

Agentic AI is shifting the traditional boundaries between Engineering, Product, UX, and Data Science. We need a leader who can span these disciplines. You need the engineering depth to evaluate architecture trade-offs, the product judgment to decide what is worth scaling, the empathy to design functional workflows, and the executive presence to lead a room of client stakeholders.

What you will be doing:

• Lead and scale the team: Build, mentor, and grow the Forward Deployed Engineering team. Set high standards for customer engagement, solution delivery, and knowledge sharing.

• Own the product and roadmap: Manage the lifecycle of field-developed capabilities into a coherent, multi-year roadmap. Decide which solutions become reusable product features and which remain custom, partnering with executive leadership to align strategy.

• Define the operating model: Establish how FDE engagements operate, including account selection, resource staffing, discovery, deployment, and platform integration.

• Stay technical and hands-on: Evaluate architecture designs, review technical trade-offs, and build rapid prototypes when needed to maintain momentum and earn team trust.

• Work backwards from the customer: Lead discovery and advisory sessions with strategic accounts to uncover high-value problems, ensuring customer needs drive development.

• Execute cross-functionally: Coordinate with engineering, data science, UX, marketing, and field teams to maintain development urgency and align customer feedback with the broader roadmap.

• Drive go-to-market and value: Partner with Product Marketing and Sales on engagement expansion. Develop pricing, packaging, and ROI models grounded in measurable customer value.

What you will likely bring:

• Player-coach leadership: Ability to lead a technical team from the front, raising engineering standards and removing blockers through active participation.

• Builder's instincts: Background building and maintaining software, with a strong capability to move from concept to working prototype quickly.

• Product judgment: Sharp analytical skills to evaluate field data and determine what should be turned into platform features, reusable patterns, or isolated solutions.

• AI-native thinking: Solid understanding of LLMs, RAG, agents, and AI-driven software to set technical direction and evaluate team eng