Jobs in United States

Technical Program Manager Infrastructure Salary India in United States

4,074 active opportunities · Updated October 2026

Explore current technical program manager infrastructure salary india jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

Hiring demand

43/100

watch · 145 related jobs

Hiring trend

-64.5%

Job postings compared with the previous 30 days

Remote options

20.7%

Share of matching jobs listed as remote

Typical salary

$145.7K – $145.7K/yr

Based on 9 salary observations

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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingTop 10% payDemand 43/100Company trend -72.4%

$200K – $240K/yr

Quick readTop 10% pay versus similar roles

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Platform org at Sentry is the engine that everything else runs on, spanning developer platform, core infrastructure underpinning the product, SRE, security, and IT. It's a broad, technically complex, and deeply consequential organization. We're looking for a Staff Technical Program Manager who can operate at the intersection of technical depth and strategic execution: someone who thrives in complexity, builds trust with senior engineering leaders, and has a gift for turning ambiguity into clarity and momentum. You'll report to the Head of Technical Program Management and work closely with the VP of Platform Engineering, their staff, and partner teams across Engineering, Product, and Design (EPD). This is a high-visibility role with real influence. You'll work directly with the CTO and senior leaders, shape how the Platform org operates, and help Sentry scale through one of its most important chapters. In this role, you will: Drive strategic execution. Partner with the VP of Platform Engineering and senior EPD leaders to translate priorities into clear, measurable plans. Own sequencing, milestones, and key decisions, and make sure leadership always has reliable visibility into progress and tradeoffs. Build data-driven delivery health. Establish the metrics and dashboards that reflect delivery confidence, risk, and engineering health across the Platform org. Keep planning and reporting high-signal and lightweight, focused on outcomes rather than activity. Manage capacity, dependencies, and risk. Create visibility into resourcing, cross-team dependencies, and constraints so leaders can align investment to the

M
📍 O Fallon, Missouri, United States
✓ High-confidence listingDemand 43/100Company trend +212.5%

$145.7K – $148.8K/yr · Jobiba est.

Quick readStrong listing-quality and freshness signals

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Technical Program Manager Overview As a Senior Technical Program Manager at Mastercard, you’ll bring your expertise with conceptualizing, coordinating and driving technology projects, and coaching Agile practices in high-performing, self-organizing development teams. We’re building a global B2B, microservices-based platform to help businesses of all sizes streamline how they manage payments when buying or selling products & services. As a global business, the projects you lead for Mastercard will deliver software operating at massive scale requiring a focus on performance, security, and reliability. This role will support our Network Solutions team within Payment Networks, assisting the development team with building out software solutions for Mastercard. Role: • Dive as deep as you want into the tech stack, the integration patterns, the organizational capabilities, and the company wide assets that can be leveraged to provide technical solutions to customer problems. • Contribute to the strategies, design choices, and even the cloud infrastructure necessary to build comprehensive and achievable execution plans to deliver high-profile new features and capabilities for our customers. • Drive the execution of an initiative that may span multiple teams and integrations, reporting meani

AIRecruitment
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📍 Austin, Texas, United States· Full-time
✓ High-confidence listingDemand 43/100

$145.7K – $148.8K/yr · Jobiba est.

Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

PythonAIExcelHR
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

About the Team OpenAI’s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. Build

AWSRestAIRust
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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -92.9%

$145.7K – $148.8K/yr · Jobiba est.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Snowflake is striving to become the cloud data platform of choice for everyone who needs affordable, reliable, scalable and elastic data management. Armed with great technical talent, our expanding product offering is designed for the cloud and automatically handles infrastructure, optimization, availability, data protection, and more so our users can focus on using their data, not managing it. And we’re doing this across all the major cloud providers, breaking new ground in what it means to be multi-cloud and cloud agnostic. We are looking to hire an experienced Senior Technical Program Manager who can be part of a world-class team that builds Snowflake’s product and cloud platform. This role is a unique opportunity to make a significant impact by building a flexible, large scale, high-performance, and resilient platform for Snowlake features and services. Be part of the vision to create the best data cloud platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. AS A SENIOR TECHNICAL PROGRAM MANAGER, YOU WILL: Be re

PythonSQLAIGo
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📍 Santa Clara, United States
✓ Quality checkedDemand 43/100Company trend -8%

$145.7K – $148.8K/yr · Jobiba est.

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

LinuxArtificial IntelligenceAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

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

AWSAzureRestAI
O
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

Quick readStrong listing-quality and freshness signals

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

AWSRestAIGo
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.8%

From $232K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb's mission is to create a world where people can Belong Anywhere. As we grow to achieve that mission, we're looking to add a technical, hands-on, and mission-driven Senior Manager of Technical Program Management (TPM) for the Infrastructure team to lead AI Platforms initiatives spanning Search Relevance, Machine Learning Infrastructure (MLI), and Search Knowledge Infrastructure (SKI). This person will partner with our engineering & product teams to build/enhance data-driven decision making across multiple areas in Airbnb. They will partner closely with senior ICs and engineering directors across Airbnb on processes, strategy and execution. In this role, you will collaborate closely with the Machine Learning (ML) engineers, infrastructure engineers and product managers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace. The Search Relevance, Machine Learning Infrastructure (MLI), and Search Knowledge Infrastructure (SKI) teams power the ranking, recommendations, model infrastructure, and search intelligence capabilities that make up a core part of Airbnb's AI Platforms, including: Search Ranking for Stays, Experiences, and Services, Home Page Recommendations, Search Bar AutoSuggest and Autocomplete, Marketing Technology, and the ML infrastructure and platform capabilities that support them. The team also creates the fabric for personalization and the underlying model infrastructure, used both on and off platform for Airbnb. We collaborate with many teams including Search Infrastructure, Guest and Host Experiences, MD

Machine LearningAIGoRust
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

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

AWSRestAIGo
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📍 New York, New York, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -72.3%

$145.7K – $148.8K/yr · Jobiba est.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid’s products and internal platforms. The team operates at the intersection of Engineering, Product, and Finance, ensuring that spending decisions are transparent, intentional, and aligned with product strategy and business priorities. Rather than functioning as a cost-control or approval layer, FinOps enables teams to understand, own, and optimize their spend while maintaining engineering velocity. Responsibilities Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities. Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks. Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans. Leads cost optimization initiatives, such as rightsizing, commitment strategies, an

SQLAWSAzureGCP
O
📍 Chicago, Illinois, United States
✓ High-confidence listingDemand 43/100Company trend +66.7%

$145.7K – $148.8K/yr · Jobiba est.

Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. The Customer First Team We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers. Join our team! We’re building a world where Identity belongs to you. Role Summary Reporting to the Sr. Manager, Strategic Programs and Delivery Governance, the Program Manager, Services Solutions & Delivery Acceleration is a key operational and technical enablement leader within our Global Professional Services and Delivery Success organization. This role treats "services as a product"—transforming custom, highly complex implementation workflows into standardized, packaged service solutions and reusable delivery acceleration toolkits. Work

Machine LearningArtificial IntelligenceAISalesforce
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

About the Team OpenAI’s Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how our products and systems actually operate. Assurance Operations partners with Security, Engineering, Infrastructure, Product, Privacy, and Legal to make controls provable, risk decisions explicit, and audit readiness a result of well-designed systems. About the Role We are hiring a technical, product-minded GRC builder who can own consequential audits while improving the control and evidence systems behind them. You will build a reusable common control framework, use Codex to automate assurance work, validate changing system scope, and turn repeated audit friction into measurable improvements. We are looking for someone who questions inherited assumptions, solves novel problems creatively, works closely with engineers, and makes the next audit easier by improving the underlying system. You’ll be responsible for: Lead external, internal, customer, and certification audit work from scoping through evidence review, fieldwork, remediation, and closeout. Build a common control framework linking risk, control intent, implementation, owner, system, environment, evidence, and applicable frameworks. Validate actual scope and ownership instead of assuming last year's controls, product boundaries, or evidence remain accurate. Use Codex to build and test evidence checks, control mappings, request triage, owner workflows, monitoring, and remediation reporting. Partner with engineers on cloud architecture, identity, logging, data flows, software changes, vulnerabilities, and control effectiveness. Design maintainable, permission-aware tools that preserve source provenance, human review, and evidence integrity. Reduce repeated requests and operational burden for control owners through measurable workflow improvements. Define roadmaps, decision rights, milestones, success metrics, and clear cross-functional escalations. We’re looking for someone with: Direct ownership

SQLAWSRestAI
O
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

Quick readStrong listing-quality and freshness signals

About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but operational in how we do our work, and we partner deeply with Product, Security, Legal, Privacy, GTM, and Field Security to help OpenAI move quickly while maintaining trust with customers, auditors, regulators, and the public. About the Role We are looking for an experienced Product Lifecycle Assurance IC to help scale OpenAI’s GRC function across our product stack to ensure products address customer and regulatory compliance requirements at launch and regressions are detected promptly and corrected. You will partner closely with Product, Security, Legal, and Privacy teams to make sure OpenAI can move quickly while maintaining our security, privacy and compliance claims and giving customers, auditors, and regulators assurance about how OpenAI handles user data. You are responsible for product assurance end-to-end from inception to post-launch (continuous) monitoring. You leverage existing workflows, reviews, and data and enhance, augment and build the components needed to create an end-to-end product assurance program. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply technical operations role to ensure that OAI products meet the compliance bar at launch, regressions are prevented and detected, and our compliance state can be evidenced. This role also helps ensure that our product launch governance program operates effectively across key safety, privacy, legal and security stakeholders and lessons-learned from incidents and regressions are used to improve the program. You or in partnership with engineering teams, build key controls in our infrastructure stack, developer workflows and launch tooling to provide developers with guardrails, perform CI/CD confor

AWSKubernetesCI/CDRest
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedDemand 43/100Company trend -80.2%

$145.7K – $148.8K/yr · Jobiba est.

About the Team The Employee Technology & Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company. About the Role We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth. You’ll be responsible for: Lead cross-functional operational programs that improve scalability, consistency, and operational maturity. Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments. Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs. Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale. Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives. Improve operational visibility, stakeholder alignment, and coordination across long-running cros

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