Principal Product Manager

1w1 week ago

Microsoft

Redmond, US · Full-time · $139,900 – $304,200

About this role

Microsoft Dataverse is the secure, governed business data foundation powering Microsoft Power Platform and Dynamics 365. As enterprises embrace agentic AI, Dataverse evolves into the agent data platform, enabling AI agents to search, reason over, and act on business data across Microsoft 365 Copilot and developer experiences. As Principal Product Manager, you will shape the future of this platform.

You will own platform-level strategy for how AI agents securely access and operate on enterprise business data from Dynamics CRM and Power Platform. Drive alignment across M365 Copilot, Copilot Studio, Dynamics 365, Power Platform, and Azure Foundry. Set long-term direction and establish product judgment frameworks for durable outcomes.

Apply deep AI/ML literacy and data fluency to balance quality, reliability, cost, latency, explainability, and trust at platform scale. Define AI/LLM evaluation strategy, including offline/online frameworks and go/no-go criteria. Drive execution across teams through influence, resolving conflicts on customer outcomes and trade-offs.

Partner with design, engineering, responsible AI, security, and governance teams to build agent experiences that reduce time-to-value. Engage strategic customers and represent Dataverse strategy in executive forums and events like Ignite. Mentor PMs and track advancements in multi-agent evals and trajectory alignment.

Microsoft’s mission empowers every person and organization to achieve more through growth mindset, innovation, and collaboration. Build on values of respect, integrity, and accountability in an inclusive culture where everyone thrives at work and beyond.

Requirements

Deep AI/ML literacy and data fluency for platform-scale decisions
Proven ability to establish product judgment frameworks balancing quality, reliability, cost, latency, explainability, and trust
Experience defining evaluation strategies for AI/LLM and agentic capabilities
Strong cross-functional influence skills to drive execution without authority
Knowledge of enterprise data security, governance, and compliance in AI contexts
Expertise in multi-agent evaluation frameworks and trajectory alignment research
Track record shaping AI agent tooling like plugins and skills for developers
Customer-facing experience translating enterprise feedback into product strategy

Responsibilities

Define and drive product strategy and roadmap for Dataverse as the agent data platform, shaping AI agent access to enterprise business data
Set strategic direction influencing org-level roadmaps and investment decisions across M365 Copilot, Dynamics 365, and Power Platform
Apply deep AI/ML literacy and data fluency to establish product judgment frameworks for AI vs. deterministic approaches
Define and own AI/LLM evaluation strategy and quality bars for agentic capabilities, including evaluation frameworks and go/no-go criteria
Drive execution across multiple teams and product surfaces through influence, translating ambiguous problems into scalable capabilities
Lead cross-company alignment across engineering, applied science, design, business, and go-to-market teams
Partner with design and engineering to create agent-building experiences reducing time-to-value for enterprises
Engage directly with strategic customers and partners to translate insights into platform improvements