Microsoft
Senior Business Planner, Gaming
$143K–$304K
Los Angeles, CA +8 · On-site · Senior · Full-time · Posted Oct 30, 2026
- Location
- Los Angeles, CA
Redmond, WA
New York, NY
Chicago, IL
San Francisco, CA
Atlanta, GA
Austin, TX
Boston, MA
United States - Experience
- 6+ years in specified fields or equivalent experience; 3+ years managing cross-functional and/or cross-team projects. Preferred: 12+ years in specified fields or equivalent experience; 8+ years managing cross-functional and/or cross-team projects; 1+ year(s) reading and/or writing code.
- Education
- Bachelor's Degree OR equivalent experience.
About the job
Drives strategic business planning for Microsoft’s gaming ads business, sizing opportunities, building business cases, informing product planning, and delivering cross-functional initiatives.
What you'll do
- Manage project plans, dependencies, governance, stakeholder updates, and execution across workstreams.
- Develop gaming business and demand plans, size opportunities, and support publisher planning with business cases and ad policy considerations.
- Use customer, market, competitive, and AI-generated insights to make recommendations and communicate plans to stakeholders.
What they ask for
- Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
- 3+ years of experience managing cross-functional and/or cross-team projects.
Nice to have
- Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience; 8+ years of experience managing cross-functional and/or cross-team projects.
- 1+ year(s) of experience reading and/or writing code; experience in gaming, entertainment, or media, or working with publishers and advertisers to create and sell media products.
Pay
USD $142,800 - $274,800 per year (base pay); USD $188,000 - $304,200 per year (base pay)
AI focus
Leverage AI and automation to synthesize data and identify patterns, while owning the integrity, relevance, and limitations of AI-generated insights used in business decisions.
Model-written summary · the original posting is authoritative