Principal Product Manager - Azure Speech (CoreAI)

Microsoft
U.S. / San Francisco Bay area / New York City metropolitan area2026-07-22onsite

About the job

At the heart of our mission is a commitment to empower developers to build a better world through the transformative capabilities of AI Speech Services. As a part of CoreAI at Microsoft, we are the Cognitive Services Speech team—dedicated to seamlessly integrating Speech AI into everyday experiences and we are hiring for a Principal Product Manager - Azure Speech (CoreAI) to join our cutting-edge charter. We operate with a sense of responsibility and ethics, a customer-first mindset, and a drive to advance Microsoft’s AI platform and business.

Responsibilities

Define and drive product vision and strategy across a full stack of collaborators—from customers to engineers and researchers.

Partner closely with engineering to prioritize the roadmap, deliver high-impact features, and solve complex problems with clarity and creativity.

Translate customer insights and strategic goals into actionable plans that guide engineering execution and product iteration.

Champion product quality and AI excellence, ensuring our services are responsible, reliable, and delightful to use.

Keep stakeholders aligned and informed, fostering confidence and clarity across internal teams and leadership.

Qualifications

Minimum

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

Ability to meet Microsoft, customer and/or government security screening requirements are 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

10+ years of experience in product or program management (or equivalent), with a track record of delivering impactful products.

Proven experience managing the full product lifecycle—from concept and design through launch and iteration.

Experience or deep interest in Speech, LLM/SLM or Machine Learning technologies.

Cross-functional collaboration skills, with the ability to influence across engineering, research, and business teams.

High tolerance for ambiguity and a bias for action in dynamic environments.

Exceptional written and verbal communication skills, with a knack for storytelling and clear articulation of complex ideas.