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Mid-level PM title, metro location, and broad AI/platform skill requirements increase applicant competition.
Platform, knowledge-graph, ERP, and applied-AI expertise make cross-industry transfers challenging.
Explicit 3–5 year PM requirement plus platform, AI, and prototyping technical mandates.
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Own the Prism Platform vision and roadmap, deciding what business context and data models get built and improved based on real demand from product and engineering teams.
Define and maintain a consistent, structured representation of customers' business objects, rules, and data across ERP systems, ensuring accurate shared context for AI agents and workflows.
Partner cross-functionally with AI product teams, engineering, identity/security teams to prioritize platform capabilities, manage data access and build a reusable foundation that supports multiple products without duplication.
3-5 years experience in product management, specifically shipping platform or infrastructure-style products used by engineering teams.
2+ years technical experience with data platforms, knowledge graphs, ontologies, or applied AI/agent products with deep technical understanding.
Bachelor’s degree in Computer Science, Engineering, Business, or related field (or equivalent experience).
Work Experience Required: 3-5 years in product management, with technical depth in data/AI platforms; notice period not explicitly mentioned.
Demonstrates strong platform mindset focused on ease of adoption, reusability, and cross-team dependencies rather than single feature delivery.
Comfortable working hands-on with technical teams on specs, prototypes, and data-driven decisions involving AI agents, knowledge graphs, and ERP integration.
Experienced in leading without formal authority by aligning peers across engineering, design, and product teams on a coherent product vision and roadmap for a complex, multi-team platform.