Business Accountant General Ledger (Vollzeit/Teilzeit, w/m/div.)
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The Commercial Products and Infrastructure (CPI) org is responsible for driving Microsoft cloud & AI capacity, margin excellence and resource allocation rigor across Microsoft’s portfolio. The AI Applications Revenue and Investments Team brings together revenue management and business planning with investment management and resource allocation in a single organization, providing end-to-end support for M365 and Copilot.
We are looking for a highly motivated Senior Finance Manager to join the Copilot, Agents, and Platform Finance team and help shape how Microsoft invests resources in the priorities and capabilities that power our product roadmap. In this role, you will lead financial modelling and business analysis, partner with Engineering leaders on resource allocation decisions, and own efficient financial processes that bring clarity, rigor, and speed to investment planning.
The role calls for an agile systems thinker who brings intellectual curiosity, sound judgement, a passion for leveraging AI tools to improve insights and productivity, and the ability to navigate ambiguity and complexity to serve as a trusted finance advisor to Engineering leaders.
This role enables you to develop a CFO mindset and influence senior leadership to drive expense management and resource allocation decisions – continuously aligning investments and costs with a prioritized engineering product roadmap and be part of the highly driven team with an emphasis on fun!
• Decision Support: Apply strategic thinking into FTE headcount resource planning to maximize engineering investments through industry intelligence and benchmarking. Provide deeper insight to enable leadership’s decision on where and how resources should be deployed. Give visibility to the current resource landscape and drive re-deployment discussions. Communicate trade-off scenarios and provide financial analysis for recommendations.
• Business Health and Planning: Lead finance rhythms with business partners (close, forecast, budget). Partner with stakeholders to craft the capacity investment story through business understanding and collaboration. Take a macro-level approach to analyze results, highlighting trends and key levers. Support CFO and Engineering CVP reviews.
• Resource allocation and management: Partner with procurement and business to ensure spend aligns to strategic functional areas. Model and analyze key drivers, identify levers, and drive planning decisions.
Financial Analysis IC4 - The typical base pay range for this role across the U.S. is USD $97,600 - $188,400 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 $125,000 - $206,400 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.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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