header alt image test
Microloft Logo

Microloft

Senior Product Manager

Reposted 16 Hours Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
Own the strategy and roadmap for automated bidding and budget products in digital advertising. Define how advertiser goals translate into system behavior, partner with applied science on machine learning objectives, improve budget pacing, and make bidding understandable to advertisers. Use online experimentation and large-scale data to measure impact while balancing advertiser returns, spend growth, and marketplace efficiency. Mentor product managers and influence cross-functional teams.
The summary above was generated by AI
Overview

Every advertiser asks two questions: how much should I bid, and how much should I spend? Automated bidding answers them millions of times a day — setting bids against each advertiser's cost, value, and return goals, and pacing budgets so spend lands where it earns the most.

We are looking for a Senior Product Manager to own a core area of automated bidding and budgets. You will decide what our bid strategies optimize for, how predictably they deliver, and what advertisers see when they don't.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Own the strategy and roadmap for a core area of automated bidding or budgets, end to end.
  • Define how advertiser goals — conversion volume, conversion value, target CPA, target ROAS, clicks — translate into system behavior.
  • Partner with applied science on the models behind bidding, shaping objectives and evaluation criteria.
  • Improve how budgets pace and allocate, so delivery is predictable across the day, campaign, and season.
  • Make bidding legible to advertisers: goal setting, target attainment, diagnostics, and controls.
  • Prove impact through online experimentation on noisy, delayed outcomes.
  • Balance advertiser return, spend growth, and marketplace efficiency, and make the trade-offs explicit.
  • Mentor other product managers and raise the bar for product thinking on the team.
  • Embody our Culture and Values.

Qualifications

Required Qualifications:

  • Bachelor's Degree AND 5+ years experience in product/service/program management or software development
    • OR equivalent experience.

Preferred Qualifications:

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • Experience shipping products end to end with cross-functional engineering teams.
  • Experience using data to drive product decisions and measure outcomes.
  • Experience in digital advertising or ad tech in one of: automated bidding, budget pacing, auction dynamics and pricing, conversion measurement and attribution, or ad ranking.
  • Experience with products backed by machine learning models, including defining objectives, evaluation criteria, and guardrails.
  • Solid analytical skills, including comfort working directly with large datasets.
  • Experience designing and interpreting online controlled experiments.
  • Familiarity with advertiser performance concepts such as CPA, ROAS, incrementality, attribution, and conversion delay.
  • Demonstrated ability to influence across organizational boundaries without direct authority.

#MicrosoftAI 


Product 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.

Similar Jobs at Microloft

4 Days Ago
In-Office or Remote
2 Locations
131K-304K Annually
Expert/Leader
131K-304K Annually
Expert/Leader
Automation
Leads the operating model for Microsoft Unified foundational offers across support, customer success, and engineering. Owns portfolio taxonomy, revenue attribution, demand and capacity modeling, pricing architecture, investment prioritization, governance, and scorecards. Influences senior cross-functional leaders to improve margins, retention, customer value, upgrades, delivery economics, and investment returns without direct authority.
Top Skills: Artificial IntelligenceMicrosoft Cloud
15 Days Ago
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Own product strategy, roadmap, and execution for Copilot Work Memory capabilities. Define memory experiences, quality evaluations, success metrics, and trustworthy AI controls. Partner with engineering, applied science, design, security, privacy, and business teams on technical tradeoffs involving retrieval, freshness, latency, cost, safety, and compliance. Translate customer and competitive signals into platform requirements, drive measurable outcomes, communicate decisions to senior leaders, and mentor product managers.
Top Skills: Agentic SystemsAi/MlConversational AiCopilot ChatMicrosoft 365Microsoft CopilotResponsible AiRetrieval-Augmented Generation (Rag)Search And Retrieval Systems
8 Days Ago
In-Office
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Lead product vision and roadmap for AI-driven content and trust & safety across Windows, Edge, Copilot and partner surfaces. Define safety policies, build scalable detection and mitigation features, partner with policy, engineering, data science, operations and legal, measure outcomes, and drive cross-functional adoption and compliance globally.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account