Director, MAVS Technology & Product

Microsoft•Redmond, WA

About The Position

The Director, MAVS Technology & Product is a Director-level Technical Program Manager in Microsoft’s Acquisition & Venture Success organization (MAVS), serving in its engineering arm. The role supports Microsoft’s strategic growth across acquisitions, divestitures, and data/IP transactions by connecting engineering, risk, and strategy. It advises senior business and engineering executives, leads large cross-functional and matrixed teams, and translates technical diligence into executive-ready insights and actionable integration or separation plans. The position also helps shape how Microsoft evaluates, acquires, integrates, licenses, and scales external technologies in an AI-driven market. The role leads technical, product, and IP diligence across areas including software, hardware, AI/ML, security, privacy, compliance, and open source. It evaluates the business impact of technical findings, coordinates teams and external experts, supports secure transfer and engineering onboarding, and partners with security and legal stakeholders on post-close readiness. It also develops repeatable playbooks and processes and champions AI-enabled workflows, tools, and models to improve decision quality and reduce deal cycle time.

Requirements

  • Bachelor’s degree and 6+ years of experience in engineering, technical program management, product development, or equivalent experience.
  • 3+ years leading complex, cross-functional technical programs with executive-level visibility.

Nice To Haves

  • Experience in M&A technical due diligence, integration planning, or related transactions such as acquisitions, divestitures, IP licensing, or data deals.
  • Broad technical fluency across software, hardware, AI/ML, cybersecurity, cloud platforms, open source, privacy, Responsible AI, and compliance.
  • Understanding of Microsoft’s engineering systems, SDLC, security requirements, and product development practices.
  • Ability to create and scale repeatable processes, frameworks, or AI-enabled tools.
  • Proficient communication and influencing skills across engineering, business, legal, and security stakeholders.
  • Ability to synthesize technical depth into executive-ready insights and decision frameworks.
  • Ability to navigate ambiguity, drive clarity, and make sound technical judgments in high-stakes environments.

Responsibilities

  • Lead end-to-end technical, product, and IP due diligence across software, hardware, AI/ML, security, privacy, compliance, and open source.
  • Apply AI-enabled tools and standardized frameworks to produce earlier, deeper diligence insights with speed and consistency.
  • Define technical risks and remediation requirements before and after deal close.
  • Mobilize and lead cross-company virtual teams spanning engineering, Finance, CELA, MS Security, CorpDev, 1ES, and external technical experts.
  • Establish scope, timelines, ownership, and decision practices across stakeholders, and strengthen predictable, repeatable engagement patterns.
  • Assess how technical findings affect deal value, integration feasibility, timelines, and cost; provide executives with actionable guidance connecting risks to economic and strategic outcomes.
  • Recommend mitigations that balance speed, quality, and compliance.
  • Develop integration or separation plans aligning engineering systems, cloud migration, data flows, product roadmaps, and compliance requirements with business rationale and technical findings.
  • Convert complex technical signals into concise, decision-ready narratives for senior leaders; drive issue resolution, track commitments, and maintain deal-lifecycle communications and stakeholder alignment.
  • Coordinate secure transfer of source code, data, environments, documentation, and tooling to receiving engineering teams, and support engineering onboarding.
  • Partner with MS Security and CELA to validate post-close security posture and compliance readiness.
  • Capture lessons learned and improve MAVS Tech playbooks, paved paths, integration frameworks, templates, tools, and knowledge artifacts.
  • Champion AI-first workflows and help design and operationalize AI agents, dashboards, and risk models to modernize execution, improve decision quality, and reduce cycle time.
  • Assess emerging technologies to keep MAVS Tech current with the market.
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