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Technical Program Manager Infrastructure Jobs

10,000 active opportunities · Updated for October 2026

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Explore current technical program manager infrastructure jobs. Use filters to narrow by work mode, employment type, experience and date posted.

D
7mo ago

P-1489 About Databricks At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. The Role We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams. You will have the opportunity to: Lead Reliability Strategy + Multi-Quarter Roadmaps Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment

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Z
Zscaler
📍 United States• Remote• $164K – $205K/yr
1mo ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Technical Program Manager to join our team. This is a Hybrid (San Jose, 3 days a week) role or Remote role, reporting to the Cloud Operations Manager in the REIS (Reliability Engineering and Infrastructure Services) department. The Technical Program Management team within the Reliability Engineering and Infrastructure Services (REIS) organization is seeking an experienced, highly technical Project / Program Manager to lead complex, internal infrastructure and services initiatives, large-scale Data Center (DC) migrations, and building new cloud environments. Operating within our cross-functional program management organization, this position functions primarily as an internally-facing, hands-on Technical Project Manager (explicitly distinct from Product Management) responsible for orchestrating cross-functional technical projects across various teams for our cloud infrastructure. The

REMOTEaiproject managementPMP
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N
6 days ago

NVIDIA is seeking a Senior Technical Program Manager to join the CSP Engagements team, focused on deep technical engagement with hyperscale cloud service providers for NVIDIA’s next‑generation datacenter systems such as Vera Rubin NVL72. This role is intended for experienced systems and embedded software leaders—including software engineering managers, technical leads, or senior architects—who have led datacenter server and platform software programs and can operate as a trusted technical partner to hyperscale CSP engineering teams. As a member of the CSP Engagements team, you will act as the primary technical engagement leader between NVIDIA’s system software organizations and CSP platform, system software, and AI teams, ensuring alignment, readiness, and successful large‑scale deployment of NVIDIA‑based datacenter solutions. What you will be doing: Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products. Partner directly with CSP system software, firmware, and infrastructure engineering leaders to align on software architecture, bring‑up plans, deployment readiness, and production requirements for NVIDIA‑based server and rack‑scale platforms. Represent CSP technical priorities internally, advocating for customer requirements and tradeoffs across NVIDIA’s system software, firmware, hardware, silicon, and product teams are aligned to customer needs, timelines, and constraints. Own the end‑to‑end CSP engagement lifecycle, from early technical alignment and pre‑production readiness through large‑scale deployment, escalation management, and sustained production support. Drive bi‑directional technical communication: translating CSP system‑level requirements into actionable focus areas for NVIDIA engineering teams, while clearly communicating N

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O
OpenAI
📍 San Francisco• Full-time• Remote• $226K – $285K/yr
6mo ago

About the Team OpenAI’s Infrastructure organization builds the systems that power frontier AI workloads at global scale. As compute demand accelerates, our ability to rapidly convert infrastructure investments into usable production capacity has become mission critical. The CPU / Storage / PoP / WAN team is responsible for the end-to-end infrastructure layers required to bring compute online: server and cluster activation, storage platforms, Points of Presence (PoPs), backbone connectivity, and global network expansion. We operate across first-party facilities, colocation environments, and strategic cloud partners to ensure OpenAI can scale reliably and quickly. About the Role We are seeking a highly technical Program Manager to lead execution across CPU, Storage, PoP, and WAN infrastructure programs that directly unlock OpenAI’s next generation compute capacity. In this role, you will own complex cross-functional programs spanning compute cluster activation, storage deployment, PoP bring-up, and backbone expansion. You will coordinate hardware readiness, site readiness, network pathing, storage availability, vendor execution, and engineering dependencies required to turn contracted infrastructure into live training and inference capacity. This role requires strong technical fluency across hardware systems, network infrastructure, storage architecture, and deployment execution. You should be comfortable operating from rack-level implementation details through executive-level capacity planning discussions. This role is based in San Francisco, CA, with travel as needed. Key Responsibilities Lead end-to-end execution of CPU / GPU cluster activation programs across OpenAI’s global infrastructure footprint Drive readiness to convert contracted compute capacity into schedulable production clusters Own deployment programs for new PoPs, backbone nodes, WAN expansion, and interconnection initiatives Build integrated schedules spanning procurement, logistics, installation, st

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O
OpenAI
📍 San Francisco• Full-time• $239K – $328K/yr
1mo ago

About the Team OpenAI’s Research Program Management team partners with researchers and engineers to advance the development of increasingly capable, safe, and beneficial AI systems. We work alongside teams developing our core models, helping turn ambitious research goals into coordinated execution across model training, alignment and safety, and research infrastructure. The team also regularly collaborates with our closest cross-functional partners such as Security, Applied product and engineering, Strategy, and Scaling. About the Role As a Research Program Manager, you will embed with research teams and help drive some of the most technically complex and consequential work behind OpenAI’s model development. Depending on your focus, your work may span training, reasoning, evaluations, compute, research infrastructure, safety, model launch readiness, and governance. You will translate evolving research priorities into actionable programs, help teams navigate technical and operational tradeoffs, and keep important work moving as new issues emerge. This is a hands-on technical role: you will engage directly with research workflows, experimental results, technical systems, and engineering constraints; not simply coordinate from the sidelines. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Have 5+ years of experience in research program management, technical program management, or related roles in fast-moving environments. Can engage substantively with researchers and engineers on topics such as model training, experimental design, model safety, evaluation methods, data workflows, compute infrastructure, or distributed systems. Are comfortable working directly with technical tools, research data, experimental results, or operational workflows to understand problems and develop practical solutions. Have a strong track record of movi

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TW
The Weather Company
📍 New York• $130K – $155K/yr
5mo ago

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: As a Technical Program Manager for Consumer Data at the Weather Company, you will guide the instrumentation of consumer data collection that supports reporting, analytics, and machine learning use cases. You will lead our consumer data quality initiatives across our digital ecosystem, responsible for ensuring the integrity, accuracy, and accessibility of consumer data collected from our applications and websites. You will also bridge the gap between business analytics needs & technical data infrastructure while collaborating closely with front-end development teams to implement robust data tracking solutions. The impact you'll make: Collaborate with stakeholders, such as product, marketing, and content managers, to understand business analytics requirements and translate t

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About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: As a Technical Program Manager for Consumer Data at the Weather Company, you will guide the instrumentation of consumer data collection that supports reporting, analytics, and machine learning use cases. You will lead our consumer data quality initiatives across our digital ecosystem, responsible for ensuring the integrity, accuracy, and accessibility of consumer data collected from our applications and websites. You will also bridge the gap between business analytics needs & technical data infrastructure while collaborating closely with front-end development teams to implement robust data tracking solutions. The impact you'll make: Collaborate with stakeholders, such as product, marketing, and content managers, to understand business analytics requirements and translate t

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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering a

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D
Databricks
📍 Mountain View• $222.5K – $305.9K/yr
2mo ago

GAQ327R224 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As the enterprise software landscape shifts from standard software-as-a-service to autonomous intelligence, Databricks is leading the charge by fundamentally transforming how an AI company runs itself. We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs , you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents. By driving this mission, you will eliminate corporate reliance on third-party vendors and vendor software, replacing legacy SaaS with native, highly scalable solutions built directly on top of the Databricks platform. In this role, you will act as a premier thought leader redefining the Software Development Life Cycle (SDLC) through the lens of artificial intelligence. You will partner directly with our CIO, Corporate Engineering VPs, R&D Operations, and cross-functional product teams to establish the operational connective tissue necessary to move sophisticated tools from initial concept to f

pythonsqlartificial intelligence
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A
Anthropic
📍 Ca New York City• $290K – $365K/yr
25 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. We’re looking for an experienced Incident Response Manager to own and evolve incident management within the privacy team. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from privacy incidents. These incidents involve personal data subject to GDPR, CCPA, HIPAA and similar laws, and to the contractual commitments Anthropic makes to its customers. You’ll be the driving force behind maturing and scaling our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You will partner closely with Privacy Legal on notifiability and communications, and with the Privacy Program team on executive and board reporting; this role owns the engineering-side programme, its metrics and its follow-through. You won’t just manage incidents: you’ll make sure we get meaningfully better after each one. Key responsibilities Own the end-to-end privacy incident management program: detection workflows, r

aiExcellogistics
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A
Anthropic
📍 Ca Seattle• $290K – $365K/yr
1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed acr

aiExcellogistics
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OpenAI
📍 San Francisco• Full-time• Remote• $226K – $285K/yr
5mo ago

About the Team OpenAI’s Hardware organization is building the infrastructure foundation for frontier AI systems. The Supply Chain organization is responsible for enabling scalable, resilient, and efficient supply chains across custom silicon, systems, networking, memory, storage, and rack-scale infrastructure. The Supply Chain Program Manager (SCPM) drives end-to-end material readiness and supply chain execution across the hardware lifecycle, from early architecture and sourcing strategy through production ramp and sustaining operations. We are looking for experienced supply chain leaders who can operate across technical, commercial, and operational domains to ensure material readiness, supply continuity, and execution excellence for complex AI hardware programs. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. Responsibilities Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positio

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TA
Together AI
📍 Remote• Remote• $190K – $240K/yr
7mo ago

About The Role Together AI is scaling its own data center infrastructure to power the next generation of AI workloads. We are looking for a Program Manager, Data Center Delivery to serve as our representative across our physical infrastructure builds. In this role, you will manage critical data center builds, coordinate infrastructure deployment, and drive projects from contract negotiation through commissioning and data center fit out with vendors and strategic partners. You will own the full deployment lifecycle, ensuring builds are delivered on time, on budget, and to the quality standards required for high-density AI compute environments. Responsibilities Serve as Together’s representative on data center construction and expansion projects, managing data center providers, sub-contractors, compute integration partners, and strategic infrastructure alliances with cloud providers and technology partners from inception through deployment. Oversee full-stack deployment, from MEP installation, white space commissioning, facility readiness, white space fit out, and turnover to operations teams. Manage the performance of integration partners (VARs/CI’s) regarding staging and validation. Manage partner contracts and collaborative technical partners, service level agreements (SLAs), schedules, and change orders; track progress against milestones and hold partners accountable to performance, cost, and timeline commitments. Conduct diligence on vendor and partner operational readiness. Coordinate with external partners, including data center providers, owner’s reps, GCs, design consultants, and commissioning agents, to resolve field issues and keep builds on track. Track equipment deliveries from vendors, coordinating delivery schedules with construction milestones to ensure materials arrive on time. Provide regular project status reporting to leadership, including schedule updates, risk registers, budget forecasts, and key decision points. Drive process improvements

REMOTEaisalesforceproject management
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OpenAI
📍 San Francisco• Full-time• Remote• $226K – $285K/yr
6mo ago

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Engineering Program Manager, you will help turn complex infrastructure strategy into executable programs across electrical, mechanical, controls, network, hardware, construction, commissioning, deployment, and operations workstreams. You will partner with research, hardware engineering, data center engineering, site development, supply chain, security, EHS, finance, legal, operations, and external delivery partners to bring OpenAI's infrastructure vision to life. About the Role We are looking for an Engineering Program Manager (EPM) to lead assigned infrastructure programs focused on production and non-production network integration, controls coordination, and the design and deployment of data hall or whitespace facilities. The EPM will support functional Directly Responsible Individuals (DRIs) across network, controls, structural, electrical, and mechanical disciplines. Key responsibilities include coordinating assigned workstreams and program controls, maintaining risks and interfaces, and supporting readiness within the network and data hall deployment track. The ideal candidate thrives on bringing structure to complex environments characterized by ambiguous technical requirements, large partner ecosystems, tight deadlines, and high operational stakes. This individual must be adept at keeping teams aligned on decisions, risks, dependencies, schedules, and readiness criteria, and escalating gaps or decision points when needed. Candidates should have a proven track record of managing technically challenging engineering programs across major lifecycle phases, including design, validation, procurement, construction, c

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A
Anthropic
📍 Ca New York City• $365K – $565K/yr
1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Infrastructure organization is responsible for the systems that train our models, serve our products, and support our engineering teams. That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking. It’s a lot of surface area, and the demands on it are growing fast. We’re hiring a TPM leader to own program management across this whole ecosystem from compute provisioning through to production workloads. We’re bringing up new datacenters, scaling multi-cloud compute across AWS, GCP, and Azure, managing datacenter construction, and building the software infrastructure to keep pace. The team is growing very quickly, and we’re looking for a senior leader with experience at scale to build and scale this team to support Anthropic’s rapid growth. You’ll report to the Head of TPM, partnering closely with various engineering leaders on technical strategy, roadmapping, and aligning TPM support where it is most impactful. You’ll personally drive 2–3 critical programs while leading your teamin parallel. This is a role where you need to be comfortable doing the work yourself before you can hand it off. What you'll do: IC Program Leadership Own and drive 2–3 of the highest-priority programs across infrastructure while you build the team Run the actual programs—datacenter bring-up timelines, capacity scaling plans, infrastructure migrations, cross-team reliability efforts, or whatever the most pressing needs are Build the processes and playbooks as you go—figure out wh

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