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Microsoft

Senior Technical Program Manager

Cambridge
£73.8k – £121.3k/yr
Posted 20 days ago
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Senior Technical Program Manager

Overview

At Microsoft Research, we are shaping the future of AI infrastructure by pursuing high-risk and high-reward programs that will define the next generation of AI platforms. Our work spans the full stack, models, systems, software, and hardware, and we partner with product teams across Microsoft to turn research breakthroughs into impact at scale. Through close collaboration with industry partners, the team bridges research and production, translating hardware innovation into working prototypes and manufacturable solutions for next-generation AI infrastructure. You will join a multidisciplinary team working at the intersection of optics, electronics, photonics, packaging, networking, and AI system design.

As a Technical Program Manager, you will translate early-stage ideas from Microsoft Research and applied R&D into shippable products and services. You will partner closely with researchers to shape technical concepts into product roadmaps, drive execution alongside Azure engineering teams to bring those capabilities to cloud AI scale, and manage relationships with external hardware and software suppliers to land critical dependencies on time and on spec. You will work on program structure, technical trade-offs, and cross-team alignment from prototype through general availability. This opportunity will allow you to 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, and grow as a program leader operating at the intersection of innovation and production.

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.

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Responsibilities

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. 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. 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. 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. 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.

Qualifications

Required/Minimum Qualifications

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 3 to 5 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.

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Additional Or Preferred Qualifications

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.

Technical Program Management IC4 - The typical base pay range for this role across United Kingdom is £ 73,800.00 - £ 121,300.00 per year. Certain roles may be eligible for benefits and other compensation.

Find Additional Benefits And Pay Information Here

https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Skills

Technical Program Management
Cloud AI
Product Roadmaps
Cross-Functional Collaboration
Data Analysis
Optics
Photonics
Networking
Hardware Systems
Risk Management
Communication
Project Management
Engineering
Product Development
AI Systems Design
Supplier Management

Location

Cambridge, England, United Kingdom

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