Senior Product Manager within Philips managing hardware product strategy and lifecycle for healthcare solutions. Collaborating with teams to ensure global market alignment and effective product delivery.
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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