Technical Program Manager, Pretraining Data

What you'll do

Qualifications

• 6+ years of technical program or product management experience in a fast-paced technical organization.
• A track record of successfully managing multiple complex, interdependent workstreams simultaneously.
• Strong technical fluency — comfortable engaging with engineers and researchers on data pipelines, systems, or infrastructure topics without needing to be an expert practitioner.
• A scrappy, bias-for-action approach to problem-solving — comfortable finding pragmatic paths forward and unblocking progress without waiting for perfect information or a fully-defined process.
• Excellent written and verbal communication skills, with the ability to synthesize complex, distributed information into clear, actionable guidance.
• Demonstrated ability to build trust and influence outcomes across teams without direct authority.
• Experience operating with a high degree of autonomy in ambiguous, rapidly evolving environments.
• Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.
• 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.

Responsibilities

• Own end-to-end program execution across multiple parallel data workstreams, tracking decisions, dependencies, and action items to closure, proactively identifying and escalating program risks.
• Drive readiness for major data and model releases, coordinating quality checks, approvals, and sign-offs across contributing teams.
• Actively participate in planning and stakeholder management with engineering and research teams — building the relationships and partnerships needed to understand dependencies, track them closely, and translate technical discussion into clear decisions, owners, and concrete plans of execution.
• Communicate program status, risks, and trade-offs clearly to leadership and stakeholders, tailoring the level of detail to the audience and surfacing recommendations, not just updates.
• Build and continuously improve the operational structure behind these programs — processes, tracking mechanisms, and reviews that bring repeatability to otherwise ambiguous, fast-moving work.
• Bring a deep commitment to legal and compliance considerations in data usage and licensing, maintaining an evolving awareness of the relevant policy landscape so you can engage effectively with legal and compliance partners as needed.
• Stay closely attuned to the competitive landscape and the broader AI industry, bringing that outside context into program priorities, risk assessment, and planning discussions.