Principal Technical Program Management Specialist

Microsoft Microsoft · Big Tech · Cambridge, MA, United Kingdom +1 · Technical Program Management

This role translates early-stage AI research from Microsoft Research and applied R&D into shippable cloud AI capabilities. The Principal Technical Program Manager will shape technical concepts into product roadmaps, drive execution with Azure engineering teams, and manage external suppliers. The role involves defining success criteria, technical bars, and launch criteria for moving research prototypes to general availability, and managing program structure, roadmap, schedule, and governance for multi-team efforts. It also involves closing the loop from production back to research by validating use cases and bringing customer feedback to shape future investments.

What you'd actually do

  1. You will translate early-stage research from Microsoft Research and applied R&D into shippable cloud AI capabilities, shaping technical concepts into product roadmaps with researchers, driving execution with Azure engineering teams, and managing external hardware and software suppliers to land critical dependencies on time and on spec.
  2. You will partner with MSR researchers, Azure engineering teams, and external hardware and software vendors to design technical solutions that span models, systems, and hardware. You will surface the trade-offs and risks behind those choices and make data-driven recommendations to research and engineering leads, and supplier partners.
  3. You will define what success looks like for moving research prototypes to general availability, the technical bar, the launch criteria, and the cross-team commitments, and hold MSR, Azure, and supplier stakeholders aligned to it through every program milestone.
  4. You will own the program structure end-to-end: roadmap, schedule, staging and rollout plans, and governance for multi-team, multi-quarter efforts that cut across MSR, Azure, and the supplier ecosystem.
  5. You will close the loop from production back to research: validate use cases against live workloads, instrument performance and reliability metrics at cloud AI scale, and bring signal from customer engagements back to MSR and Azure teams to shape the next generation of platform investments.

Skills

Required

  • Master's or PhD Degree in computer engineering, electrical/electronic engineering, computer science, physics, applied physics, optics/photonics, materials science, or a related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • 3+ years of experience managing cross-functional and/or cross-team projects
  • Ability to operate effectively in a multi-disciplinary environment
  • Excellent communication skills in English, both written and spoken, including the skill to clearly communicate technical results and justify assumptions to diverse technical audiences
  • Basic understanding of optics and/or photonics, sufficient to engage with researchers and suppliers on technical trade-offs in optical systems

Nice to have

  • Experience working on research or industry projects related to AI systems design
  • Knowledge of networking and interconnects, broadly defined — datacenter networking, high-speed interconnects, fabrics, or related areas
  • Familiarity with hardware/system simulation or modeling tools
  • Knowledge of advanced packaging, co-packaged optics, or memory hierarchies

What the JD emphasized

  • high-risk and high-reward programs
  • next generation of AI platforms
  • full stack, models, systems, software, and hardware
  • bridges research and production
  • hardware innovation into working prototypes and manufacturable solutions
  • next-generation AI infrastructure
  • intersection of optics, electronics, photonics, packaging, networking, and AI system design
  • translate early-stage ideas from Microsoft Research and applied R&D into shippable products and services
  • shape technical concepts into product roadmaps
  • drive execution alongside Azure engineering teams
  • bring those capabilities to cloud AI scale
  • manage relationships with external hardware and software suppliers
  • land critical dependencies on time and on spec
  • own program structure, technical trade-offs, and cross-team alignment from prototype through general availability
  • deepen your technical breadth across cutting-edge research and large-scale cloud and AI systems
  • build an influential network spanning Microsoft Research, Azure, and our supplier ecosystem
  • grow as a senior program leader operating at the intersection of innovation and production
  • shippable cloud AI capabilities
  • technical concepts into product roadmaps
  • driving execution with Azure engineering teams
  • managing external hardware and software suppliers
  • land critical dependencies on time and on spec
  • design technical solutions that span models, systems, and hardware
  • surface the trade-offs and risks behind those choices
  • make data-driven recommendations
  • define what success looks like for moving research prototypes to general availability
  • technical bar
  • launch criteria
  • cross-team commitments
  • hold MSR, Azure, and supplier stakeholders aligned
  • own the program structure end-to-end
  • roadmap, schedule, staging and rollout plans, and governance
  • multi-team, multi-quarter efforts
  • cut across MSR, Azure, and the supplier ecosystem
  • close the loop from production back to research
  • validate use cases against live workloads
  • instrument performance and reliability metrics at cloud AI scale
  • bring signal from customer engagements back to MSR and Azure teams
  • shape the next generation of platform investments
  • Master's or PhD Degree in computer engineering, electrical/electronic engineering, computer science, physics, applied physics, optics/photonics, materials science, or a related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • 3+ years of experience managing cross-functional and/or cross-team projects
  • Ability to operate effectively in a multi-disciplinary environment
  • Excellent communication skills in English, both written and spoken, including the skill to clearly communicate technical results and justify assumptions to diverse technical audiences
  • Basic understanding of optics and/or photonics, sufficient to engage with researchers and suppliers on technical trade-offs in optical systems
  • Experience working on research or industry projects related to AI systems design
  • Knowledge of networking and interconnects, broadly defined — datacenter networking, high-speed interconnects, fabrics, or related areas
  • Familiarity with hardware/system simulation or modeling tools
  • Knowledge of advanced packaging, co-packaged optics, or memory hierarchies

Other signals

  • translate research into shippable products
  • drive execution with Azure engineering
  • manage external suppliers
  • define technical bar and launch criteria
  • close the loop from production back to research