Lead Product Manager, Feed ERP

Datacor

About The Position

Datacor is a leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. The company's mission is to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve customers' most difficult problems. Datacor is passionate about serving its customers and helping them use data as a competitive advantage. The company's customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world. Datacor helps these customers make those products more safely, cost effectively, and more efficiently through its technology platforms and applications. In this role, the Lead Product Manager will own the strategy, roadmap, and revenue outcomes for Datacor Animal Nutrition's Feed ERP products, Feed Mill Manager and Pennent Mill Manager. These products are used by feed mills and grain businesses to manage daily operations including commodity merchandising, procurement, plant production, and delivery. This is not a backlog-management job; the individual will be accountable for product-level ARR, net revenue retention, and win rate, and will set pricing and packaging direction. The core qualification is industry depth, understanding how merchandisers, plant managers, and feed businesses operate, and translating that understanding into products customers will pay for.

Requirements

Feed industry depth: Meaningful experience in agribusiness, feed manufacturing, or commodity trading, with working knowledge of at least two of: commodity merchandising, ingredient procurement, feed plant operations or livestock feed regulatory requirements.
Product line ownership: Experience owning a B2B software product's roadmap and business outcomes, balancing strategy with delivery.
Commercial judgment: Evidence that pricing, packaging, win/loss, or business case work changed a decision.
Discovery craft: Ability to push past a customer's requested solution to the underlying problem and validate before committing engineering time.
Strong communication: Ability to lay out a problem, options, tradeoffs, and a recommendation in a written narrative someone can act on without a meeting, and present it credibly to executives, engineers, and customers.
Hands-on AI use: Daily use of AI for research, drafting, analysis, and prototyping, with an understanding of when its output needs verification.
Technical fluency: Comfortable discussing data models, integrations, and product details with development teams.
Ownership without authority: Ability to drive results through teams that do not report to the individual, and willingness to travel to customers and events.
Bachelor's degree or equivalent practical experience.

Nice To Haves

Experience with feed and/or ration formulation software.
Familiarity with nutrition or feed labeling regulations.
Software development experience.
Product managing AI or data-driven capabilities.

Responsibilities

Own the vision, strategy, and roadmap for Feed Mill Manager and Pennent Mill Manager, aligning Engineering, Services, Support, and Commercial teams on priorities that drive retention, cross-sell, upsell, and new-market growth.
Own the numbers, being accountable for product-level ARR, net revenue retention, and win rate.
Build the pricing and packaging recommendation, including tier design and customer migration, and present it to the Datacor Pricing Committee.
Frame ambiguous business goals into a problem, options, and a plan. Make product-level tradeoffs, influence resourcing within the unit, and work across Datacor products to avoid duplicative investment.
Run competitive research and win/loss analysis, and turn findings into roadmap and positioning changes.
Lead the product advisory group, from agenda to synthesis to follow-through, and represent Datacor Animal Nutrition at industry events.
Validate before building: Set success criteria up front, test ideas with customers using AI-built prototypes, and kill work that misses the bar.
Own AI-enabled capabilities in the product, including quality bars, failure modes, and customer trust, and an AI-assisted discovery workflow that is fast and verifiable.
Prioritize the backlog against the roadmap, defining use cases, requirements, and measurable outcomes, and escalating cross-functional risks and blockers.
Own tiered launches with readiness gates and success criteria. Drive Sales, Services, and Support enablement (battlecards, objection handling, AE/SE readiness) and partner with Product Marketing on analyst briefings, webinars, and user conference sessions.
Lead without direct authority: Broker competing priorities, hold the line on product decisions, coach junior PMs, and own interview loops for the product.