M

Microsoft

Builds workplace software, PCs and cloud services

Director – AI Capacity Business Development

Full-TimeUpdated on 10/23/2026
$130.9k - $272.3k/yr
Expert
Bachelor's
Redmond, WA, USA+1 moreMore locations: Mountain View, CA, USA
In Person
Sales & Account ManagementBusiness Development & Partnerships
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A Bachelor's degree in Business, Engineering, Computer Science, Economics, Finance, Sciences, or a related field, plus 10 or more years of relevant experience in business development, strategy, product management, finance, engineering, consulting, venture capital, private equity, investment banking, corporate development, or related disciplines; equivalent experience is also accepted.
  • Experience influencing executive-level decision making and driving strategic outcomes across large organizations.
  • Direct experience with GPU-as-a-Service providers, neocloud providers, hyperscalers, AI infrastructure companies, or semiconductor ecosystems.
  • Deep understanding of GPU economics, AI training and inference workloads, cluster management, and capacity planning.
  • A track record of negotiating and executing large-scale commercial agreements.
  • Experience working directly with CEOs, founders, investors, and executive teams.
  • Proficiency in financial modeling, market analysis, and strategic planning.
  • Understanding of emerging AI infrastructure architectures, capacity optimization techniques, and evolving AI deployment models.
Responsibilities
  • Develop Microsoft's strategic roadmap for external AI capacity acquisition and ecosystem engagement.
  • Create and maintain a comprehensive view of the global AI infrastructure landscape, including hyperscalers, neoclouds, GPU-as-a-Service providers, model companies, datacenter operators, infrastructure startups, and hardware vendors.
  • Evaluate capacity supply, technology trends, cost structures, performance characteristics, and partner capabilities to inform executive decision making.
  • Drive strategic recommendations regarding how Microsoft should allocate AI workloads across internal and external infrastructure environments.
  • Develop frameworks for assessing long-term capacity requirements, market opportunities, and infrastructure investment priorities.
  • Partner with executive leaders to shape Microsoft's AI capacity and ecosystem strategy.
  • Co-develop Microsoft's business development strategy for GPU-as-a-Service and external AI infrastructure providers.
  • Manage relationships with strategic AI infrastructure partners and emerging ecosystem players.
  • Evaluate partnership opportunities that improve Microsoft's access to capacity, increase operational flexibility, reduce costs, or accelerate deployment timelines.
  • Develop innovative commercial structures that align partner incentives with Microsoft's long-term strategic objectives.
  • Establish and execute multi-year partnership roadmaps with key ecosystem participants.
  • Identify opportunities to leverage external capacity providers while maintaining Microsoft's leadership position in cloud and AI infrastructure.
  • Co-lead Microsoft's strategy and engagement model for neocloud providers.
  • Assess the role that specialized AI cloud providers should play within Microsoft's broader capacity strategy.
  • Evaluate opportunities for strategic partnerships, commercial relationships, investments, and ecosystem development.
  • Analyze industry dynamics and emerging business models across the AI infrastructure landscape.
  • Develop recommendations regarding Microsoft's approach to specialized AI infrastructure providers and alternative capacity sources.
  • Partner with engineering and planning teams to determine optimal integration and engagement models.
  • Lead strategic assessments across the AI infrastructure value chain.
  • Identify capability gaps and evaluate options including internal development, partnerships, acquisitions, and investments.
  • Conduct comprehensive technical, financial, operational, and strategic diligence.
  • Develop executive-level recommendations supported by market analysis, financial modeling, and market intelligence.
  • Partner with Corporate Development, Finance, Strategy, and Engineering organizations to evaluate major strategic opportunities.
  • Influence investment decisions that impact Microsoft's long-term AI infrastructure position.
  • Lead highly complex partnership discussions and commercial negotiations.
  • Structure agreements involving capacity commitments, infrastructure utilization, strategic investments, joint development initiatives, and ecosystem partnerships.
  • Drive alignment across Finance, Engineering, Supply Chain, CELA, Security, Product, and Executive stakeholders.
  • Represent Microsoft in executive-level discussions with CEOs, founders, investors, and senior leaders across the AI ecosystem.
  • Develop creative deal structures that balance strategic flexibility, economics, risk management, and long-term value creation.
  • Lead transactions from opportunity identification through final execution and implementation.
  • Serve as a trusted advisor to senior executives across Microsoft.
  • Develop decision frameworks that help leadership navigate complex AI capacity tradeoffs.
  • Translate technical and operational considerations into clear business recommendations.
  • Lead cross-functional initiatives spanning Azure, AI Platform, Infrastructure, Finance, Supply Chain, and Corporate Strategy organizations.
  • Build alignment among diverse stakeholders and drive decisions in highly ambiguous environments.
  • Mentor and develop members of the broader Business Development organization.
  • Establish governance mechanisms for strategic partnerships and capacity agreements.
  • Monitor partner performance against commercial, technical, and operational commitments.
  • Ensure agreements deliver intended business outcomes and strategic value.
  • Develop executive reporting and performance management processes.
  • Identify emerging risks and proactively drive mitigation strategies.
  • Continuously improve Microsoft's operating model for AI ecosystem management.
  • Foster a culture of accountability, collaboration, innovation, and inclusion.
  • Contribute to the growth and development of the Azure Core & Infrastructure Business Development organization.
  • Serve as a visible leader within Microsoft's AI and infrastructure ecosystem.
Desired Qualifications
  • At least 8 years of experience leading strategic partnerships, commercial negotiations, ecosystem development, or corporate strategy initiatives in the technology sector.
  • At least 12 years of experience in cloud infrastructure, AI, semiconductors, datacenter technologies, networking, or enterprise technology markets.
  • Experience evaluating investment, acquisition, and strategic partnership opportunities.

About the company

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redmond, Washington

Founded

1975

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Simplify's Take

What believers are saying

  • US corporate staff receive education support: eligible, approved graduate coursework qualifies for up to $10,000 annually.
  • Cloud demand expands: July 2026 results showed Azure and other cloud services revenue grew 43% year-over-year in fiscal Q4.
  • Investment has an earnings cushion: July 2026 results reported $155.2 billion consolidated operating profit for fiscal 2026.

What critics are saying

  • Performance reviews include security: every Microsoft employee must discuss their security contribution with their manager.
  • Office flexibility depends on the role: Microsoft's postings specify requirements ranging from fully remote to fully on-site.
  • Cloud capacity faces local limits: Microsoft describes power-grid delays and water constraints affecting US datacenter expansion.

What makes Microsoft unique

  • Hybrid customers stay within reach: Azure Arc manages servers across customer datacenters and competing clouds.
  • Developer reach extends beyond Azure: Microsoft's GitHub hosts code collaboration alongside AI coding tools.
  • Professional data widens its business: Microsoft owns LinkedIn's recruiting, advertising and workplace-learning network.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Company Match
  • Professional Development Budget
  • Conference Attendance Budget
  • Flexible Work Hours
  • Remote Work Options

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

0%
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