Director, MAVS Technology & Product

Microsoft•Redmond, WA

7d•$142,800 - $304,200

About The Position

Microsoft is seeking a Director Level Technical Program Manager for MAVS Technology & Product, the engineering arm of Microsoft’s Acquisition & Venture Success organization. This role sits at the intersection of engineering, risk, and strategy, helping Microsoft evaluate, acquire, integrate, license, and scale external technologies across acquisitions, divestitures, and data/IP transactions. The Director advises senior business and engineering executives, leads large cross-functional teams, and uses AI-enabled processes to accelerate technical diligence, improve decision-making, and support value realization across strategic deals. The position leads technical, product, and IP diligence and translates findings into executive-ready recommendations, risk mitigations, and integration or separation plans. It coordinates technical execution across engineering, finance, legal, security, compliance, and external partners, including secure transfer of assets and engineering onboarding. The role also develops repeatable playbooks, frameworks, and AI-enabled workflows to improve consistency, planning readiness, and execution throughout the deal lifecycle.

Requirements

Bachelor’s degree and 6 or more years of experience in engineering, technical program management, product development, or equivalent experience.
3 or more years leading complex, cross-functional technical programs with executive-level visibility.
Strong communication and influencing skills across engineering, business, legal, and security stakeholders.
Ability to synthesize technical detail into executive-ready insights and decision frameworks.
Ability to navigate ambiguity, establish clarity, and make sound technical judgments in high-stakes environments.

Nice To Haves

Experience in M&A technical due diligence, integration planning, or related transactions, including 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 engineering systems, SDLC, security requirements, and product development practices.
Experience creating and scaling repeatable processes, frameworks, or AI-enabled tools.

Responsibilities

Lead end-to-end technical, product, and IP due diligence across software, hardware, AI/ML, security, privacy, compliance, and open source; use AI-enabled tools and standardized frameworks to identify risks and remediation requirements.
Mobilize and lead cross-company virtual teams spanning engineering, finance, CELA, MS Security, CorpDev, 1ES, and external technical experts; clarify scope, timelines, ownership, and decision processes.
Assess how technical findings affect deal value, integration feasibility, timelines, and cost, and provide executives with actionable guidance and mitigation recommendations.
Develop integration or separation plans that align engineering systems, cloud migration, data flows, product roadmaps, and compliance requirements with business goals and technical findings.
Resolve issues and deliver concise, decision-ready reporting to senior leaders; track commitments and maintain alignment across business, engineering, and legal stakeholders.
Coordinate secure transfer of source code, data, environments, documentation, and tooling to receiving engineering teams, support onboarding, and partner with MS Security and CELA on post-close security and compliance readiness.
Capture lessons learned and develop playbooks, templates, tools, and integration frameworks to improve repeatability and reduce reinvention across deals.
Champion AI-first workflows and partner on AI agents, dashboards, and risk models to automate diligence, improve decision quality, reduce cycle time, and modernize execution.
Serve as a trusted technical advisor to Microsoft senior business and engineering executives and lead large cross-functional, matrixed teams.
Strengthen MAVS Tech’s operating model through predictable and repeatable engagement patterns.