Senior Technical Program Manager - Azure Storage

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Lead complex Azure Storage initiatives for strategic AI and data analytics customers. Provide Blob Storage architectural guidance for HPC and machine learning workloads, manage cross-functional technology programs, influence technical priorities through customer feedback, mitigate risks, and improve operational efficiency. The role requires technical depth in cloud infrastructure, high-scale systems, resiliency, performance, capacity management, and production operations, along with strong stakeholder influence.
Summary Generated by Built In
Overview

Azure Storage is looking for a dynamic and Senior Technical Program Manager to help deliver and support the future of cloud-based storage. 

As a Technical Program Manager, you are naturally customer centric and thrive in a fast-paced environment that requires solid technical, business judgment, and communication skills. This role requires both hands-on technical depth and strategic influence, shaping technologies that operate at Azure's hyperscale.
In this role, you'll be part of a team that supports our key strategic Azure Storage customers on both their immediate tactical and long-term strategic storage needs for their AI and data analytics workloads. You will be accountable for engineering support delivery for an assigned portfolio of Microsoft strategic customers, demonstrating a critical partnership with internal and external stakeholders.  

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
  • Engage directly with our largest and most complex AI-focused customers to provide architectural guidance to customers implementing and using Azure Blob Storage for their high-performance computing (HPC) and machine learning workloads
  • Manage large, complex Azure storage technology initiatives, delivering critical solutions, significant improvements, new mechanisms, or deprecating systems or features that are no longer needed
  • Understand the architecture of the Azure Storage systems you work with to develop and execute technical strategies that drive service growth
  • Capture and advocate for customer feedback to influence Azure Storage technical priorities and business strategy through data-driven contributions
  • Routinely and efficiently deliver the right things by defining clear goals and objectives and driving to crisp decisions and outcomes by communicating effectively, verbally and in writing, to a wide range of audiences
  • Proactively identify risks and bring them to the attention of your team and stakeholders with plans for mitigation before they become roadblocks. Increase the productivity and effectiveness of the teams you work with by reducing or removing the complexity and numbers of inefficient operational tasks, processes and procedures

Qualifications

Required Qualifications:

  • Bachelor's Degree 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

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 engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience
  • 6+ years of experience managing cross-functional and/or cross-team projects
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)
  • 3+ years' experience with strategic customer engagement
  • 2+ years of experience in a technical role where you were responsible for managing or supporting the underlying systems of a product, service, or infrastructure 
  • Experience with:
    • AI/ML workload patterns including training, fine-tuning, and retrieval-augmented generation (RAG)
    • Applying AI to engineering workflows and product architectures to identify transformational improvement and efficiency opportunities 
    • Using AI-assisted diagnostics, automation, or operational workflows and familiarity with observability, telemetry, reliability engineering, and automated operations 
    • Supporting high-concurrency architectures, low-latency services, and high-throughput systems, with expertise in service resiliency, performance troubleshooting, capacity management, and production operations 
    • overseeing and coordinating large-scale projects related to any public cloud services
    • implementing, and maintaining cloud infrastructure on Azure
  • Excellent relationship-building skills and a proven track record of effective cross-team collaboration and influence across organizations without direct authority. A sense of ownership, detail orientation, follow-up, and collaboration skills with engineers, architects, product leaders, and executives

#azurecorejobs



Technical Program 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.

Skills Required

  • Bachelor's degree and 4+ years of experience in engineering, product or technical program management, data analysis, or product development, or equivalent experience
  • 2+ years of experience managing cross-functional and/or cross-team projects
  • Ability to meet Microsoft, customer, and/or government security screening requirements
  • Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
  • Bachelor's degree and 8+ years of experience in engineering, product or technical program management, data analysis, or product development, or equivalent experience
  • 6+ years of experience managing cross-functional and/or cross-team projects
  • 1+ year of experience reading and/or writing code
  • 3+ years of experience with strategic customer engagement
  • 2+ years of experience managing or supporting underlying systems of a product, service, or infrastructure
  • Experience with AI/ML workload patterns, including training, fine-tuning, and retrieval-augmented generation
  • Experience applying AI to engineering workflows and product architectures
  • Experience with AI-assisted diagnostics, automation, observability, telemetry, reliability engineering, and automated operations
  • Experience supporting high-concurrency architectures, low-latency services, and high-throughput systems
  • Expertise in service resiliency, performance troubleshooting, capacity management, and production operations
  • Experience overseeing and coordinating large-scale projects related to public cloud services
  • Experience implementing and maintaining cloud infrastructure on Azure
  • Excellent relationship-building, cross-team collaboration, and organizational influence without direct authority

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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