Microsoft Logo

Microsoft

Senior Product Manager - AI Infrastructure

Posted 3 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Own product strategy and multi-year roadmaps for GPU back-end networking. Translate AI workload needs into requirements, lead products through qualification and deployment, coordinate engineering and business teams, influence suppliers, and improve performance, reliability, cost, observability, and launch readiness.
The summary above was generated by AI
Overview

The Azure HPC & AI Infrastructure team defines and delivers the systems that power large-scale AI training and inference. We are seeking a Senior Product Manager to own the product strategy and execution for back-end networking across GPU infrastructure, spanning across clusters and datacenters to power the next generation of AI Factories.
In this role, you will translate workload and customer needs into product requirements, align architecture and investment choices, and drive products from concept through qualification, launch, and fleet deployment. You will work across networking, systems engineering, software, datacenter infrastructure, operations, supply chain, finance, and strategic suppliers to improve performance, reliability, time to market, and total cost of ownership.

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. 


Responsibilities
  • Define the product strategy, and multi-year roadmap for GPU back-end networking capabilities.
  • Engage strategic customers and internal workload teams to understand requirements, manage competing product priorities to deliver infrastructure for AI workloads at scale.
  • Translate customer AI training and inference workload needs into clear product requirements for bandwidth, latency, topology, congestion management, resiliency, security, observability, and serviceability.
  • Own the end-to-end product lifecycle from concept and plan of record through new product introduction, qualification, launch, scale deployment, and lifecycle improvement.
  • Drive alignment and execution across hardware and software engineering, networking, architecture, datacenter infrastructure, operations, supply chain, finance, and customer-facing teams.
  • Influence supplier roadmaps and product definitions across GPU systems, network interface devices, switches, optics, cables, and interconnect technologies; resolve technical and business tradeoffs to improve platform outcomes.
  • Establish success metrics and operating mechanisms for performance, reliability, availability, deployment readiness, cost efficiency, and launch health; use customer signals, telemetry, and incident learnings to prioritize improvements.

Qualifications

Required Qualifications

  • Bachelor's Degree AND 5+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 1+ years experience with GPU or AI-accelerated hardware systems and infrastructure, including the ability to translate complex system concepts into product requirements, roadmaps, and execution plans.
  • 1+ years experience with datacenter networking or accelerated computing infrastructure, including technologies such as Ethernet, InfiniBand, RDMA, network interface devices, switches, optics, NVLink etc. 

Other Requirements

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. 

Preferred Qualifications

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

#azurecorejobs


Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


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.

Microsoft Mountain View, California, USA Office

1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043

Microsoft Palo Alto, California, USA Office

Palo Alto, United States

Microsoft San Francisco, California, USA Office

835 Market Street, Suite 700, San Francisco, CA 94103, San Francisco, United States, 94103

Microsoft San Jose, California, USA Office

San Jose, United States

Microsoft Sunnyvale, California, USA Office

Sunnyvale, United States

Similar Jobs

17 Days Ago
Remote
United States
140K-190K Annually
Senior level
140K-190K Annually
Senior level
Legal Tech • Software
Lead development of a scalable document processing platform supporting document storage, extraction, indexing, embeddings, and multi-modal search. Define platform vision and roadmap, write technical requirements with engineers, drive adoption and migrations, monitor performance and AI outcomes, and mentor junior PMs to deliver reliable, high-performance infrastructure for AI-driven legal products.
Top Skills: Ai/MlChunkingContent ExtractionElasticsearchEmbeddingsFull-Text SearchGenerative AiIndexingLlm PipelinesMulti-Modal SearchOcrOpensearchRagVector DatabasesVector SearchVector Storage
25 Days Ago
Remote
Illinois, USA
140K-210K Annually
Senior level
140K-210K Annually
Senior level
Legal Tech • Software
Lead product strategy and delivery for cloud-native infrastructure and AI platform capabilities. Define roadmaps, translate technical constraints into requirements, improve developer experience and observability, track product metrics, and drive adoption through cross-functional collaboration with Engineering, Security, Finance, and partners.
Top Skills: Ai/MlAWSAzureConfluenceGCPGitGitJIRAMarkdownObservabilityProductboard
14 Minutes Ago
Remote or Hybrid
179K-322K Annually
Senior level
179K-322K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Lead the strategic and operational direction of a specialized casualty claims team managing severe-exposure portfolios. Oversee claims managers, complex litigation, coverage strategy, reserves, settlements, legal vendors, and portfolio analytics. Collaborate with legal, underwriting, actuarial, reinsurance, and executive stakeholders to manage emerging risks, litigation trends, loss costs, and claim outcomes. Develop protocols and best practices for environmental, mass tort, toxic tort, latent injury, and other complex claims.
Top Skills: Guidewire Claims System

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account