Product Owner managing product backlog and agile execution for Capgemini's digital transformation projects. Leading collaboration across teams and mentoring junior Product Owners to ensure alignment with business goals.
About the role
- Director of Product Management leading AI-focused strategies and product roadmaps at Epicor. Oversee product lifecycle while collaborating with engineering teams to address customer needs.
Responsibilities
- Drive the strategic direction and execution of our 0 to 1 efforts in agentic AI for Epicor’s Enterprise Resource Planning (ERP) platforms.
- Lead forward-deployed engineering teams with customers to solve customer 10x problems, the Agent Foundry, and updates to our core ERPs to support scaling AI.
- Shape our long-term product roadmap for LLMs, RAG, and AI UX.
- Ensure that our offerings delight our customers in hard-to-replicate, margin enhancing ways, while anticipating future trends in artificial intelligence and machine learning.
- Demonstrate mastery of customer empathy, working backwards from customer pain points to validate the customer problems, ideal customer profiles, and value propositions.
- Quickly generate prototypes to get early feedback from internal stakeholders and customers.
- Lead the orchestration of strategic direction and set priorities for our AI applications and functionalities.
- Oversee the entire lifecycle of the product portfolio—from ideation through development, launch, and iterative improvements.
- Balance new feature development with enhancements based on customer feedback and emerging market trends.
Requirements
- 12+ years of progressive experience in product management with a demonstrated track record of success in launching and scaling technology products, preferably in AI, machine learning, or related fields.
- 4+ years of specialized experience within the AI domain, demonstrating deep technical and market understanding.
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field (or equivalent experience).
- Advanced degrees (MBA, Master’s in AI/ML) are a plus.
- Basic proficiency in coding languages (e.g., Python, C#) to engage more deeply with technical teams and validate approaches.
- Familiarity with ETL processes and data pipeline concepts to better understand underlying data flows.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with prompt engineering, RAG, and evals.
Benefits
- 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.
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