Epicor is looking to solve the business problem of transforming how customers operate by developing and scaling an advanced cross-product AI platform, Epicor Prism, to drive intelligent solutions and business growth.
Requirements
- Deep technical expertise in generative AI, machine learning frameworks, and Python-based development.
- Proven experience with forward-deployed engineering models and direct customer interaction.
- Ability to rapidly scan and assess code, diagnose issues, and guide technical teams toward robust solutions.
Responsibilities
- Provide strategic leadership and full ownership of Epicor Prism, an advanced cross-product AI platform and solution.
- Define high-level architecture and technical strategy in collaboration with UX, product management, and QA leadership.
- Cultivate a rapid, iterative development culture tailored for AI—leveraging generative AI techniques, proactive quality practices, and agile principles.
- Set and enforce functional requirements, performance benchmarks, and compliance standards.
- Lead forward-deployed customer engagements—deploying small teams on-site every two months to gather feedback and drive product improvements.
- Ability to rapidly scan and assess code, diagnose issues, and guide technical teams toward robust solutions.
Other
- Oversee and scale cross-functional teams (initially 10–20 direct reports, ramping to 50+ within 12 months) across the US, India, and Mexico.
- Recruit, mentor, and retain top-tier AI engineering and forward-deployed talent; establish clear hiring, onboarding, and development plans.
- Own budget planning and P&L management, translating financial targets into team goals and project deliverables.
- Represent Epicor at customer and internal events to present accomplishments and share thought leadership.
- Exceptional strategic thinking, prioritization, and cross-functional influencing skills.
- Strong background in international team leadership, managing across multiple time zones.
- Demonstrated success owning P&L, hitting growth targets, and driving operational excellence in high-growth environments.
- Bachelor’s degree in Computer Science, Engineering, or equivalent (Master’s preferred).
- 11+ years of progressive software/product development leadership.
- 6+ years managing and scaling multi-disciplinary, geographically distributed teams.
- 5+ years of specialized AI/ML industry experience.
- Track record of turning around underperforming products or teams and delivering measurable impact.
