About the role
Drive end-to-end integration of Work IQ into Pattern 2 agents and harnesses, partnering directly with customer agent teams to unblock adoption and resolve integration gaps. Serve as the primary technical feedback conduit from customer/agent teams into the Work IQ engineering team — triaging issues, prioritizing fixes, and closing the loop on implementation. Own and evolve Work IQ's API structure and surface area, ensuring consistency, discoverability, and extensibility as new agent patterns and harnesses come online. Define architectural guardrails for long-term sustainability — versioning strategy, backward compatibility, deprecation practices, and technical debt tradeoffs — so the platform scales without breaking downstream agents. Champion agentic development practices and AI-assisted engineering (e.g., AI-authored code, agent-driven testing/validation) across both Substrate and Work IQ teams, raising the bar on velocity and quality. Partner with architects and engineering leads across Substrate, M365 Copilot, and customer agent orgs to align on shared abstractions and avoid platform fragmentation. Establish metrics and feedback mechanisms (reliability, latency, adoption, developer satisfaction) to measure integration health and guide prioritization. Mentor other PMs on technical depth, API design principles, and customer-obsessed platform thinking. Bachelor's Degree AND 10+ years experience in product/service/program management or software development Bachelor's Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Demonstrated experience partnering directly with engineering teams to translate technical feedback into shipped platform improvements. Solid technical fluency — able to read API contracts/design docs, engage in architecture reviews, and reason about tradeoffs without being the implementing engineer. Experience working across team boundaries in a large, matrixed organization to drive alignment and execution. Experience with agentic AI systems, LLM-based agents, RAG/grounding architectures, or Copilot-style products. Track record designing or governing platform APIs consumed by multiple internal/external teams. Familiarity with AI-assisted/agentic software development workflows (e.g., Copilot, autonomous coding agents) and appetite to drive adoption. Solid written and verbal communication skills with a track record of executive-level influence.
