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Senior Finance Manager, Demand Planning at Microsoft
Redmond, Washington, United States -
Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Demand Planning, Capacity Planning, AI Transformation, Cost Efficiency, Pricing Strategy, Business Planning, Revenue Management, Engagement, Cogs Efficiencies, Team Collaboration, Growth Mindset, Financial Analysis, Strategic Planning, Project Management, Problem Solving, Analytical Skills

Industry

Software Development

Description
Empower every person and organization on the planet to achieve more. That’s what inspires us, drives our work and pushes us to challenge the status quo every day. Through our Cloud-first strategy, we strive to deliver solutions that are optimized for the world and enable customers to drive their business more successfully. Microsoft’s CPIM team is an exciting and fast-evolving finance team at the forefront of Microsoft’s AI strategy. We are looking for a talented and motivated individual to join the Core AI team.   The team’s charter is to enable AI transformation and product growth in the most cost-efficient way possible. This role will join the Core AI team and be responsible for demand and capacity planning for GitHub Copilot. It is an amazing opportunity to own an AI workload independently and drive engagement on pricing, demand planning and cogs efficiencies across engineering, business planning and revenue.   Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
The role involves demand and capacity planning for GitHub Copilot, focusing on driving engagement on pricing, demand planning, and cost efficiencies. The individual will own an AI workload independently and collaborate across engineering and business planning.