| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Salary
$139,900–$274,800 / yr
Posted
52 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 78% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Principal Product Manager on the Microsoft Dataverse team, you will lead the evolution of Dataverse into an agent data platform by shaping how AI agents securely access and operate on enterprise business data across various Microsoft products. Your responsibilities include defining strategic direction for AI/LLM evaluation frameworks, driving alignment with cross-functional teams, and translating customer needs into scalable platform capabilities. You will work closely with engineering, design, and go-to-market teams to create seamless agent-building experiences while ensuring compliance with security and governance standards. This role requires deep expertise in AI/ML, data fluency, and experience in building AI-powered products, as well as strong leadership skills for mentoring other PMs and representing the product strategy at executive forums and industry events.

What you'll do

  • Define and drive product strategy for Dataverse as the agent data platform.
  • Set strategic direction to influence cross-company roadmaps and investment decisions.
  • Establish frameworks for evaluating AI/LLM quality and reliability at scale.
  • Lead execution across teams by translating ambiguous problems into scalable solutions.
  • Engage with strategic customers to translate feedback into platform improvements.

What we're looking for

  • Deep experience building AI/LLM-powered products with retrieval, tool use, agent frameworks.
  • Proven leadership in AI/LLM evaluation strategy, including offline/online eval frameworks and quality bars.
  • Familiarity with enterprise data governance, security, compliance, and scale requirements.
  • Experience with CRM/ERP systems, data modeling, or semantic layers.
  • Exceptional executive-level communication skills for storytelling and influencing.
  • Strong mentoring mindset with experience developing and coaching product managers.
  • Demonstrated technical depth across LLMs and line of business systems.

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