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Data Center Strategy Jobs

10,000 active opportunities · Updated for October 2026

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Explore current data center strategy jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Anthropic
📍 Ca New York City• $365K – $435K/yr
10mo 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 You'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint. Responsibilities: Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale Lead program reviews and executive communications on delivery status, risks, and blockers Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites Drive partner accountability on contractual milestones and commercial commitments Coordinate equipment delivery and manage vendor accountability on schedules; tracking produ

aiExcellogistics
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N
3 days ago

We're building a new generation of data center CPUs at NVIDIA — Vera, Grace, and future designs purpose-built for accelerated computing and the workloads defining infrastructure. Data analytics is one of the highest-value arenas for CPU performance, and we need someone to own NVIDIA's strategy and value proposition there! This role sits at the nexus of go-to-market, software architecture, platform architecture, performance measurement, and competitive positioning — making it a true workload strategy role, not a benchmark-running one. From TPC-H and TPC-DS methodologies to collaborative solutions with the world's leading database and analytics vendors, the scope is broad and the impact is real. We're looking for a product manager who deeply understands how CPUs win in practice and can turn that insight into roadmap decisions, customer proof points, and field-ready positioning. What you'll be doing: Taking responsibility for the workload and market approach for data analytics and data processing on NVIDIA data center CPUs — identifying priority workloads, customer scenarios, and the benchmarks and proof points that should guide the roadmap. Leading the complete lifecycle of benchmarks like TPC-H and TPC-DS: methodology, cluster and benchmarking architecture, competitive analysis, and market positioning. Translating disk, cache, memory, I/O, clustering, availability, and software behavior into concrete CPU, platform, and system requirements. Then advising architecture and platform teams on what to build and why. Building the quantitative value proposition across performance, infrastructure, software licensing, power, and TCO to position NVIDIA CPUs against challenging architectures. Working alongside external ISVs, database and analytics vendors, cloud providers, and strategic customers to verify requirements and build joint solutions and go-to-market approaches. Redefining ben

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Baseten
📍 San Francisco• Full-time• Remote• $175K – $215K/yr
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This is a sourcing-first role, not a deal-closing role. Baseten needs someone who can build and maintain deep relationships across the long tail of data center and powered land providers, well beyond the handful of large, well-known players that everyone in the market is already competing for. This coverage area is a key differentiator for Baseten's broader compute strategy, so we're looking for the best possible person in this specific lane rather than a generalist. You'll own the full lifecycle of a sourcing relationship — from first outreach to ongoing management — not just the introduction. WHAT YOU'LL DO Build and maintain a comprehensive map of data center and powered land opportunities, with a particular focus on the long tail rather than the handful of major, oversubscribed players Own the full sourcing lifecycle for each relationship — from identifying and reaching out to new providers, through negotiation support, to ongoing relationship management — not just the initial introduction Develop and manage sourcing relationships across neoclouds, hyperscalers, brokers, and independent operators Quickly and independently evaluate new sites and spaces to determine fit and priority Prepare business cases and cost analysis to support new data center and powered land opportunities, partnering with Finance where needed Maintain accurate records of suppliers, contracts, and commercial terms so the team has a reli

REMOTEmachine learningaiproject management
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OpenAI
📍 United States• Full-time• Remote• $333K – $370K/yr
2mo ago

About the Team OpenAI’s Compute Strategy team is responsible for securing and scaling the core resources that power our research and products. We partner across engineering, finance, legal, and operations to identify, negotiate, and execute strategic partnerships that expand OpenAI’s capacity for compute, power, and data center infrastructure. Our mandate spans energy procurement, real estate development, colocation, cloud service providers, silicon and strategic supply chain, and infrastructure financing—ensuring OpenAI can grow with speed, resilience, and cost-efficiency. About the Role We are hiring several Business Development Lead, Compute Strategy positions focused on compute infrastructure. Each hire will bring deep expertise in one or more focus areas while collaborating across the broader infrastructure stack. In this role, you will source opportunities, structure partnerships, and negotiate high-value agreements across OpenAI’s infrastructure ecosystem. You will work directly with external partners and suppliers while collaborating internally with engineering, legal, finance, and operations to ensure we have the resources needed to support state-of-the-art AI systems. This role requires technical fluency, commercial judgment, and disciplined execution. Your work will directly shape how quickly, reliably, and efficiently OpenAI can bring new compute capacity online. Each hire will focus on building partnerships and executing deals in one or more of the following areas: Energy and Power: securing scalable and sustainable energy supply. Land and Real Estate: identifying and securing strategic sites. Colocation : evaluating and contracting for third-party data center capacity. Cloud Service Providers (CSPs): structuring partnerships with hyperscalers and specialized AI cloud providers. Silicon: building semiconductor partnerships to secure advanced silicon and resilient long-term supply. Fiber & Equipment: securing fiber & critical data center equipmen

REMOTEartificial intelligenceaifinance
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Instawork
📍 Chicago• $160K – $200K/yr
3mo ago

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork is seeking a General Manager, Data Centers, to accelerate and scale our rapidly growing presence in the booming data center industry. Working closely with Instawork’s leadership team, this is a high-octane opportunity to drive strategy, capture market share, and optimize execution in one of the world's fastest-growing sectors. You will be tasked with scaling the connection between our 10M+ flexible workers ("Pros") and the massive, continuous labor demands of data center builders, general contractors, operators, and hyperscalers. Your goal: parachute into high-impact expansion initiatives, optimize our go-to-market strategy, supercharge our supply and demand engines, and do absolutely whatever it takes to accelerate the marketplace flywheel in critical data center hubs. What You’ll Do Scale the Playbook: Take our data center vertical from 1 to 10. You will drive operational excellence—whether that means streamlining complex site-access and safety protocols, standardizing onboarding for massive construction build-outs and hardware deployments, or expanding our footprint in key markets—until the vertical is a massive, self-sustaining engine. Strategic Execution & Partnership Expansion: Refine and implement Instawork’s growth strategy for the data center space. Cultivate, grow, and own relationships with top-tier general contractors, data center operators, colocation providers, and infrastructure tech giants, turning initial pilots into enterprise-wide deployments. Market & Data Needs Anal

ailogistics
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TA
Together AI
📍 San Francisco• $140K – $170K/yr
4mo ago

About The Role Together AI is rapidly scaling its compute infrastructure across multiple sites and deployment types. The Associate, Infrastructure Strategy & Operations will be the analytical backbone of the Infrastructure Strategy team, powering the research, benchmarking, and operational analysis across the team's core workstreams, including capacity planning, compute sourcing, vendor evaluation, and site selection. You'll be the person who keeps the team organized and well-informed as infrastructure scales, partnering closely with Infra Eng and Finance to ensure timely, data-backed decisions. Responsibilities Support the Infrastructure Strategy team's planning process by gathering data, running comparisons, and preparing materials and recommendations for leadership reviews. Build internal trackers and dashboards that help the team monitor infrastructure deployments, vendor pipelines, and compute allocations across products and customers Maintain and improve the team's sourcing comparison frameworks across location, vendor, and site evaluation workstreams, in partnership with Finance and Infra Eng. Run analyses to support capacity allocation decisions. Research and evaluate data center sites and energy sourcing options, comparing power availability, connectivity, permitting timelines, deployment readiness, and reliability. Champion process improvements across the Infrastructure Strategy function, collaborating cross-functionally with Engineering, Data, and Finance to design AI-native workflows that streamline operations and automate repetitive analysis. Take on ad hoc analytical projects as priorities evolve, operating with speed and minimal direction. Requirements 3+ years of experience in management consulting, business operations, strategy, or a similar analytically rigorous role. Proficiency in Excel/Google Sheets, familiarity with SQL or data visualization tools, and comfort with AI productivity tools (e.g., Claude Code, Codex). Strong quantitative skills

sqlaisalesforce
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About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role The Global Estimating Director will play a critical leadership role in developing and managing Yondr’s end-to-end cost estimating and benchmarking strategy. Focused on large-scale data center construction, this role ensures financial predictability, enhances commercial decision-making, and supports global project delivery. Main Responsibilities / Strategy: Define, develop and lead the cost estimating strategy for datacenter construction projects from conceptual design to final construction documents. / Benchmarking: Establish and maintain a comprehensive database of construction cost benchmarks to aid in accurate project cost forecasts. / Cost Estimation: Provide early cost estimates to establish the feasibility of new markets and sites / Central resources: Manage, Maintain and develop a central pool of resources to support in the development of cost estimates to improve accuracy and consistency globally / Global Experience: Leverage your global construction expertise to provide insights and best practices for projects in various geographic locations. / Reporting: Prepare detailed reports and presentations, using data visualization techniques, to communicate cost estimations, benchmarks, and recommendations to senior management. / Continuously improve cost estimation and benchmarking processes, leveraging technological advancements and best practices. / Provide strategic insights to optimize project costs and imp

machine learningartificial intelligencefinance
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15 days ago

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Data Center Engineering team designs training and inference compute clusters from first principles, pushing thermal, electrical, and optical systems to the limit of physics. We operate as a highly cross-disciplinary team of mechanical, electrical, optical, and software engineers, all working to maximize the efficiency, reliability, and deployment speed of terrestrial computing to serve rapidly scaling demand. This team owns compute architecture, datacenter network design, rack builds, connectivity, in-house design of our own computers, and the manufacturing line that builds that compute. As an Optical Engineer, you will own the physical optical layer of that computer: fiber layout, link design, connector and polarity architecture, optics selection, and production of a plant that can be built, tested, and repaired at AI cluster scale. RESPONSIBILITIES: Own end-to-end optical and fiber design for AI training and inference fabrics: fiber cabling, cassette/panel architecture, polarity, breakout, reach, and connector strategy (MPO-12/16, SN, MDC, LC, OSFP / QSFP-DD) Write and verify link budgets for scale-out and scale-up interconnect (SMF/MMF, AOC/DAC, DR/FR/LR,

airecruitment
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Materials Management organization is a crucial part of data center operations, managing all critical materials to build and operate the world’s largest supercomputer clusters. Our goal is to become a leader in inventory performance with high accuracy and efficiency. The Manager will be responsible for managing day-to-day activities and exceeding customer expectations by leading continuous improvement. RESPONSIBILITIES: Perform administrative duties, including but not limited to reviewing timecard compliance, scheduling, periodic reviews, supply ordering, one-on-one mentoring and training of direct reports. Support and maintain operational targets and objectives for fulfillment, distribution, and storage centers. Strategy – Understand the processes, procedures, and needs of the business to develop strategy, business metrics, and goals to guide the organization in the direction needed. Leadership – Manage a multi-level deep organization, consisting of both hourly and salary individuals across 4 shift patterns that support 24/7 operations; assess employee performance, provide positive/constructive feedback, facilitate conflict resolution, and address repeat issu

Excelsupply chainrecruitment
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: Determine true root cause of fleet hardware failures — component and system level — and drive fixes through vendors to the manufacturer. Turn "swap it again" into "vendor redesign / firmware fix / manufacturing escape found." RESPONSIBILITIES: Own named failure classes across GPU trays/baseboards, NIC/DPU, motherboard/PCIe switch, memory, power, thermal, cables/connectors, and rack-scale patterns. Run recurrence analysis and fleet-wide defect clustering; detect systemic patterns before they become fleet-scale loss. Build vendor technical escalation packages with evidence quality that forces action; partner with OEM/ODM/component manufacturers on firmware, bring-up, and manufacturing escapes through committed CAPA. Feed findings into RMA policy, spare strategy, and "do not reseat forever" stop-rules. Work the FA intake queue on rotation; keep queue age within SLA BASIC QUALIFICATIONS: Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience). 2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments. Proven expertise in fir

pythonjavaai
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: Join the High Power Engineering team supporting SpaceXSI to design, build, operate, and maintain electrical infrastructure for AI training campuses. As a Lead Engineer for Battery Storage, you will work with a small on-site team to scale high-capacity power systems on a schedule set by compute demand. The position is based in Memphis, TN, with potential travel to other sites. RESPONSIBILITIES: Own the storage fleet as a power plant, not as an accessory: architecture, sizing, controls, safety case, and grid-forming behavior that lets the campus ride through compute step loads and generation contingencies. Own BESS architecture: pack-to-MV-transformer grouping, string composition, medium-voltage collection topology, string-level protection, and physical block layout including spacing per NFPA 855. Own sizing; translate compute duty cycles — step loads, training-job ramps, actual-versus-nameplate utilization — into power and energy requirements. Own inverter control strategy: grid-forming versus grid-following, droop and virtual inertia, fault-current contribution, ride-through, and coordination with generation governors and excitation. Own the plant controller and

airecruitment
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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 Jira Administrator to join our Engineering team on a hybrid basis in Bangalore. In this role, you will build and support the Jira Data Center platform that our engineering, IT, and business organizations run on—writing custom apps and integrations, keeping the platform healthy at scale, and helping drive our migration to Atlassian Cloud. This position is ideal for someone early in their career who wants to own real systems: you will start with well-scoped engineering tasks and rapidly grow into designing solutions end-to-end for the teams you support. What You'll Do (Key Responsibilities) Develop & Maintain Core Extensions: Build, test, and maintain custom Jira Data Center apps, plugins, and scripted extensions using Java, Groovy, and the Atlassian SDK Integrate Ecosystem Tools: Build and maintain seamless integrations between Jira and surrounding systems including Confluence, ServiceNow, Slack

pythonjavasql
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TA
Together AI
📍 San Francisco Or Nyc• $200K – $250K/yr
2mo ago

About The Role Together AI is growing its compute footprint, and making sure new capacity meets our technical standards is an important priority for the company. Every new cluster has to clear a technical bar before it carries customer workloads, and this role owns that bar. As Technical Compute Qualification Manager, you will run the process that screens and qualifies prospective compute providers, taking each prospective deployment through a structured evaluation across compute, networking, storage, power, cooling, and operations. You will coordinate various engineering partners through validation, review provider specifications and test results, and produce clear go/no-go recommendations on whether new capacity meets our standards. It is a high-impact, process-driven role for someone technical enough to know when a spec sheet does not add up, and additional diligence needs to be completed, and organized enough to drive many evaluations to closure in parallel. "You will deep-dive into critical hardware performance metrics, proactively identifying potential bottlenecks in cluster architecture before they impact our end customers training or inference workloads." Conduct diligence and work with engineering teams to make assessments regarding technical and operational resilience. Responsibilities Own and continuously improve the end-to-end qualification process for new compute capacity, from initial provider intake through final go/no-go recommendation. Run multiple provider evaluations in parallel, setting timelines, tracking status, and keeping every stakeholder aligned on what is needed and by when. Partner with infrastructure engineering, network engineering, data center engineering, and SRE teams to plan and coordinate technical validation, then translate their findings into clear decisions for leadership. Review provider technical specifications and questionnaire responses for completeness and accuracy, flagging gaps, inconsistencies, and risks that warra

pythonsqlai
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O
OpenAI
📍 San Francisco• Full-time• Remote• $257K – $327K/yr
17 days ago

About the Team OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Network and Structured Cabling Engineer with 10+ years of experience in designing and implementing optimized network and structured cabling solutions at large data centers buildings and data center campuses. The Data Center Engineering team is central to this mission defining infrastructure strategy, driving technical innovation, working with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As part of this team, you will help design and deliver next-generation data center infrastructure optimized for AI workloads. You’ll collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. Role Summary As a Physical Network & Structured Cabling Engineer, you will own the design, implementation, and quality assurance of structured cabling and physical network infrastructure across OpenAI’s global data center footprint. This role bridges design, construction, and operations, ensuring that every layer of our physical networking from fiber trunks to copper patching meets the highest standards of performance, reliability, and scalability. Key Responsibilities Design and specify physical network infrastructure across data center buildings and campuses, including fiber and copper cabling, network rooms, rack layouts, cable trays, and duct bank pathways. Coordinate with other engineering disciplines to ensure network infrastructure space, power, cooling, and operational requirements are incorporated into the overall design Develop standards, reference designs, and installation guidelines for structured cabling and physical network deployments. Translate logical network architectures and hardware connectivity requirements into scalable physical designs,

REMOTEartificial intelligenceai
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OpenAI
📍 United States• Full-time• Remote• $225K – $385K/yr
1mo ago

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team is responsible for translating OpenAI’s long-term infrastructure needs into executable data center capacity across self-build campuses, leased facilities, and strategic development partnerships. The team works across capacity planning, power, land, real estate, design, construction, finance, and commercial execution to ensure the right infrastructure is available in the right locations and on the timelines required to support OpenAI’s growth. About the Role We are seeking a Development Planner to own portfolio-level planning for future data center shell capacity. This role will translate compute-demand forecasts, power availability, technical requirements, and development schedules into a clear strategy for where, when, and how much shell capacity OpenAI should secure or build. You will evaluate capacity across self-build, lease, colocation, and development-partner pathways; identify future supply gaps; recommend campus and building phasing; and maintain the integrated plan connecting site readiness to construction, commissioning, and operational handoff. This is an individual contributor lead role requiring strong analytical judgment, infrastructure-development fluency, and the ability to drive decisions across teams without relying on formal authority. Key Responsibilities Develop and maintain a multi-year portfolio plan for data center shell capacity across priority geographies. Translate compute forecasts, IT-load requirements, rack-density assumptions, power schedules, cooling requirements, and deployment timelines into site and building requirements. Determine when shell capacity must be secured, designed, constructed, commissioned, and ready for technical fit-out. Integrate land, utility, interconnection, permitting, design, procurement, construction, commissioning, and network-re

REMOTEartificial intelligenceaifinance
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