Director of Product Management

An internal or pre-identified candidate is currently under consideration, but all qualified candidates are encouraged to apply.

Join us in making the world's first Cognitive ERP!

The Director of Product Management – AI, 0 to 1 will drive the strategic direction and execution of our 0 to 1 efforts in agentic AI for Epicor’s Enterprise Resource Planning (ERP) platforms. This role leads forward-deployed engineering teams with customers to solve customer 10x problems, the Agent Foundry, and updates to our core ERPs to support scaling AI. This role is critical in shaping our long-term product roadmap for LLMs, RAG, and AI UX. This individual ensures that our offerings not only delight our customers in hard-to-replicate, margin enhancing ways, but also anticipates future trends in artificial intelligence and machine learning. The ideal candidate is a visionary leader with a proven track record in customer-centered product management, deep technical acumen in AI, and the ability to collaborate effectively across cross-functional teams.  

What we'd like to See 

• Working Backwards: Demonstrates mastery of customer empathy, working backwards from customer pain points to validate the customer problems, ideal customer profiles, and value propositions. 

• 'Founder Mode' Mindset: Demonstrates an entrepreneurial spirit by taking full ownership, embracing creative problem-solving, and relentlessly challenging the status quo to drive innovation and continuous improvement.  

• Prototyping Pro: Quickly generates prototypes to get early feedback from internal stakeholders and customers 

• Strategic Direction & Prioritization: Lead the orchestration of strategic direction and set priorities for our AI applications and functionalities. Define the vision and roadmap that drive innovation in AI-driven products. 

What you will be doing

• Mastery of Senior-Level Product Management: Demonstrate complete ownership of high-level product management duties and responsibilities, ensuring best practices and strategic excellence across the AI product portfolio. 

• Strategic Direction & Prioritization: Lead the orchestration of strategic direction and set priorities for our AI applications and functionalities. Define the vision and roadmap that drive innovation in AI-driven products. 

• Product Portfolio & Roadmap Management: Oversee the entire lifecycle of the product portfolio—from ideation through development, launch, and iterative improvements. Partner with executive leadership, peers, and Product Development to create and manage a multi-year (potentially global) AI product roadmap. 

• Enhancement & Customer Request Prioritization: Balance new feature development with enhancements based on customer feedback and emerging market trends. Prioritize improvements and requests to maximize product impact and ROI. 

• Pricing & ROI Analysis: Evaluate and update pricing models using customer value and ROI analysis, ensuring that pricing strategies align with the value delivered by AI modules and features. 

• Cross-Functional Team Leadership: Independently run cross-functional team meetings, coordinating efforts across engineering, data science, UX, and marketing to align product initiatives with business goals. 

• Go-to-Market Strategy Support: Collaborate with the Product Marketing team to develop comprehensive go-to-market plans. This includes identifying reference customers, managing beta programs, enabling sales training, and producing sales materials and demos tailored for AI products. 

• Customer Advisory Engagement: Lead and facilitate customer advisory meetings to gather deep insights, validate product directions, and ensure that customer needs are central to the AI product strategy. 

• Trend Monitoring & Innovation: Stay current with external trends in artificial intelligence, machine learning, and data science, integrating emerging technologies and methodologies into our products and processes. 

What you will likely bring

• Expert Product Management Knowledge: Proven expertise in managing complex products, with a deep understanding of product management including customer empathy and validation, feature prioritization, lifecycle management and strategic roadmapping. 

• Advanced AI & Machine Learning Acumen: Extensive knowledge of AI and machine learning frameworks, algorithms, and technologies. Ability to evaluate, select, and integrate state-of-the-art AI solutions into product strategies. 

• Analytical & Financial Expertise: Strong analytical skills paired with financial acumen, enabling data-driven decision making and the ability to perform rigorous ROI analyses.