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Principal Product Manager - Responsible AI - CoreAI

  • Microsoft
  • New York City, San Francisco +4 more, United States
  • $142,800 – $274,800

Overview

Security. Safety. Governance. Trust.

Artificial intelligence is transforming how organizations build software, empower employees, and engage customers. As AI systems become increasingly autonomous and deeply integrated into enterprise workflows, organizations need new capabilities to ensure these systems are safe, secure, transparent, compliant, and aligned with organizational policies throughout their lifecycle.

The Microsoft Responsible AI team is building the platform that enables enterprises and Microsoft product teams to develop, deploy, govern, and operate trustworthy AI at scale. We are looking for an experienced Principal Product Manager to help define the future of Responsible AI across Microsoft's AI platform.

This role sits at the intersection of AI, cloud infrastructure, security, governance, policy, science and developer experience. You will define product strategy and lead cross-functional execution for platform capabilities that help customers operationalize Responsible AI—from model and agent development and evaluation through deployment, monitoring, and continuous governance.

You will partner closely with engineering, research, security, legal, compliance, and product teams while working directly with enterprise customers to understand emerging AI risks and translate them into scalable product capabilities.

If you're passionate about shaping how the next generation of AI systems are governed responsibly, we'd love to talk with you.

Responsibilities

As a Principal Product Manager, you will:

Define the long-term vision, strategy, and roadmap for Responsible AI capabilities within Microsoft.

Build platform capabilities that enable enterprises to operationalize AI safety, security, governance, transparency, and compliance throughout the AI lifecycle.

Partner with engineering and science teams to design scalable capabilities for:

    • AI evaluations
    • AI red teaming
    • Safety & security guardrails
    • AI Risk detection
    • Model and agent monitoring
    • AI Governance workflows
    • Transparency and provenance

Drive customer discovery with enterprises across regulated industries to understand emerging Responsible AI challenges and translate them into differentiated platform capabilities.

Partner with Microsoft Research, Legal, Security, Responsible AI, Compliance, and Engineering teams to anticipate future technology and regulatory requirements.

Collaborate across Foundry, GitHub, Microsoft Security, and other Microsoft organizations to deliver integrated governance experiences.

Define success metrics and use customer insights and telemetry to continuously improve product adoption and customer value.

Represent Microsoft with customers, partners, standards bodies, and industry forums focused on trustworthy AI.

Qualifications

Required Qualifications:

  • 8+ years of experience as a software product manager, or C-level start up executive playing a product role, focusing on B2B software.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Experience defining product strategy and shipping complex technical products.
  • Experience working across engineering, design, research, and customer-facing teams.
  • Strong written and verbal communication skills with the ability to influence executive stakeholders.
  • Passion for Responsible AI.
  • Experience navigating ambiguity, influencing across organizations, and translating emerging technology trends into scalable platform capabilities.
  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 6+ 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).
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

#AIPLATFORM

#CoreAI

#ResponsibleAI

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills

  • Product Strategy
  • Responsible AI
  • AI governance
  • Cross-functional Leadership
  • Enterprise Customer Engagement
  • AI Risk Assessment
  • Cloud Infrastructure

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