Senior Technical Program Manager - Devices Operations

Microsoft•Redmond, WA

About The Position

Microsoft Devices Operations (MDO), part of Digital Transformation Solutions (DTS) is hiring a Senior Technical Program Manager (TPM) to own an AI-powered intelligence product from business problem to measurable customer outcome. You will shape the product definition with the business, prototype and work directly in the data, drive engineering delivery, and take real capability to customers. This is the future AI product management profile: a single owner accountable for definition, delivery, go-to-market, adoption, and business impact of one product. You will work directly with business stakeholders, customers, data, engineering, architects, and TPMs to turn an operational need into a deployed AI capability. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development. OR equivalent experience.
2+ years of experience managing cross-functional and/or cross-team projects.

Nice To Haves

Bachelor’s Degree AND 8+ years experience in product/service/project/program management or software development. OR Master’s Degree AND 6+ years experience. OR equivalent experience.
Experience owning a product or capability end to end: definition, requirements, delivery, and go-to-market.
Hands-on data fluency: ability to work directly with product and operational data to inform decisions and prototype solutions.
Experience building or shipping AI/ML-powered product capabilities.
Demonstrated ability to translate business needs into technically viable product requirements.
Experience driving engineering delivery through architects, feature teams, and TPMs.
Track record of customer engagement, go-to-market execution, and measurable adoption or business impact.
Experience in supply chain, manufacturing, devices, or operational decision systems.

Responsibilities

Own a single intelligence product from business problem through customer outcome. You own the customer and the business outcome for that product: definition, requirements, prioritization, technical prototyping, delivery, go-to-market, adoption, and measurable impact.
Define the product vision, scenarios, roadmap, and business requirements for product.
Own prioritization and make scope and trade-off decisions.
Prototype solutions and work directly with the underlying data.
Translate business needs into technically viable AI product capabilities.
Drive engineering delivery through architects, feature teams, and TPMs.
Own go-to-market, customer readiness, adoption, and the resulting business outcome.
Identify portions of the product or workflow that can be automated with AI.
Take real capabilities to customers, learn from usage, and iterate.