About the Role We are seeking an Engineering Director to lead the design and development of advanced, next-generation data center systems. This is a deeply technical, high ownership role that sits at the intersection of mechanical and electrical engineering, IT infrastructure, thermal modeling, and manufacturing.

Responsibilities Systems Design & Architecture

• Lead end-to-end mechanical and electrical design of modular data center systems, including structural enclosures, power distribution, cooling infrastructure, and IT hardware integration
• Define system architecture trade-offs across density, thermal performance, reliability, and cost
• Develop and own detailed design specifications, BOMs, and engineering drawings

IT Hardware Integration

• Architect rack-level and pod-level IT layouts for high-density GPU and CPU compute deployments
• Specify and validate server, networking, storage, and power hardware configurations in collaboration with hyperscale and neocloud customers
• Ensure designs meet evolving requirements for AI/ML workloads, including high power density (40–100+ kW per rack) and advanced cooling compatibility (liquid, immersion, rear-door)

Thermal & Power Modeling

• Build and validate CFD and thermal models to predict and optimize airflow, cooling performance, and PUE across a range of operating conditions
• Develop power distribution models covering UPS, PDU, busway, and generator integration
• Use simulation tools to iterate designs rapidly before physical prototyping

Manufacturing & Productization

• Partner with internal and contract manufacturers and suppliers to translate designs into manufacturable, scalable products
• Define DFM (Design for Manufacturability) and DFA (Design for Assembly) requirements
• Lead design reviews, tolerance analyses, and factory acceptance testing protocols
• Manage engineering change processes and maintain design documentation through the product lifecycle

Cross-Functional Leadership

• Collaborate with energy, controls, and software teams to integrate data center systems with Exowatt's P3 solar and storage platform
• Serve as a technical lead and mentor to junior engineers on the team
• Engage directly with customers and partners on design requirements, site adaptations, and deployment planning

What We're Looking For Required Qualifications

• 7+ years of engineering experience, with at least 4 years focused on manufacturing, design, and/or mission-critical infrastructure
• Deep expertise in at least two of the following: mechanical/structural systems, power distribution, thermal management, or IT hardware architecture
• Hands-on experience with thermal or power modeling tools (e.g., 6SigmaRoom, FloEFD, ANSYS, or equivalent)
• Experience taking designs from concept through manufacturing and deployment
• Excellent technical communication skills , able to write crisp specs, lead reviews, and explain trade-offs clearly

Preferred Qualifications

• Experience with modular or prefabricated products at large scale
• Familiarity with high-density liquid cooling architectures (direct liquid cooling, rear-door heat exchangers, immersion)
• Background working with hyperscale, colocation, or neocloud customers
• Exposure to renewable energy integration or microgrid/behind-the-meter power systems
• Strong working knowledge of data center standards (TIA-942, ASHRAE, Uptime Institute tier classifications)
• Product lifecycle management (PLM) expertise
• 2+ years of experience with Nvidia and other compute platforms
• Experience in a fast-paced startup or hardware product company

Additional Information What We Offer

• Competitive salary and equity options
• Comprehensive benefits package, including health, dental, and retirement plans
• A dynamic work environment that fosters creativity and innovation
• Opportunities for professional growth and development in a rapidly evolving industry
• Relocation assistance

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Sr. Architect – GenAI, Agentic AI, Ecosystems and Platforms

Sunnyvale, California, United States

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Hire Type EmployeeJob ID 16603Base Salary Range $245000-$367000Date posted 04/19/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are an accomplished technical leader, recognised for your deep expertise and visionary thinking in AI and infrastructure-native architectures. With a rare blend of hands-on engineering experience and strategic business acumen, you thrive in complex environments where you translate ambitious business goals into robust, scalable, and secure AI solutions. You understand the intricacies of GenAI, agentic AI, and distributed systems, and you are adept at influencing enterprise-wide technology decisions and investments.

Your passion for advancing AI frameworks and platforms is matched by your commitment to architectural integrity and technical excellence. You are a trusted advisor to both executives and engineering teams, capable of communicating complex ideas clearly and persuasively to diverse audiences. Mentoring senior architects and engineers comes naturally to you, as you elevate those around you and set a high bar for quality.

You thrive in collaborative, cross-functional settings, unifying technical voices and aligning business needs with sustainable architectural choices. You are comfortable representing Synopsys as a senior technologist with customers, partners, and industry forums. Your long-term vision, systems thinking, and ability to drive measurable business outcomes make you an invaluable contributor to our enterprise strategy and technical leadership.

What You’ll Be Doing:

• Defining and maintaining enterprise architecture blueprints for GenAI, Agentic AI, and Infrastructure solutions.

• Architecting large-scale GenAI and agentic AI platforms to ensure scalability, reliability, security, and extensibility.

• Evaluating and guiding the adoption of emerging AI, infrastructure, and platform technologies.

• Driving architectural alignment across business units to minimise fragmentation and technical debt.

• Collaborating closely with product and business teams to translate requirements into technical architectures.

• Providing architectural oversight for critical programs, high-risk initiatives, and flagship customer deployments.

• Establishing and reviewing security, compliance, and governance architectures for AI and infrastructure platforms.

• Partnering with external vendors and hyperscalers to shape joint technical roadmaps and integrations.

• Authoring and reviewing architecture decision records and technical strategy documents that guide long-term execution.

• Mentoring and elevating senior and principal architects, fostering a culture of technical excellence.

The Impact You Will Have:

• Enable scalable and repeatable AI platform adoption across the enterprise.

• Reduce technical risk and architectural fragmentation through clear standards and governance.

• Accelerate time-to-market via reusable, well-architected infrastructure and AI foundations.

• Improve platform reliability, security, and performance for mission-critical AI workloads.

• Enhance developer productivity and innovation velocity through strong architectural enablement.

• Strengthen customer confidence by ensuring robust, enterprise-grade AI solutions.

• Influence strategic technology investments with long-term architectural foresight.

• Elevate overall engineering quality by mentoring senior technical talent.

• Support revenue growth by enabling AI-driven products and differentiated capabilities.

• Position Synopsys as a technical leader in agentic AI and infrastructure architectures.

What You’ll Need:

• Recognised expertise in AI and agentic platforms, infrastructure-native architecture, and distributed systems.

• Deep knowledge of GenAI, LLMs, agentic AI patterns, and AI system design.

• Proven ability to design and influence enterprise-scale architectures across multiple teams or business units.

• Strong understanding of security, compliance, and governance in infrastructure and AI systems.

• Exceptional communication skills, with the ability to explain complex technical concepts to executive audiences.

• Demonstrated thought leadership through architecture reviews, technical publications, or patents.

• Experience working with hyperscalers, AI vendors, and strategic partners.

• Strong systems thinking and long-term architectural mindset.

• Track record of mentoring senior engineers and architects.

• Typically, 15+ years of experience in software engineering, architecture, or platform development.

• 8+ years designing and delivering large-scale infrastructure-native systems.

• Significant hands-on experience with AI/ML platforms and GenAI systems.

• Prior experience as a Principal Architect, Senior Architect, or equivalent technical leadership role.

• Demonstrated ownership of enterprise-critical platforms or architectures.

• Experience supporting both internal platforms and external/customer-facing systems.

• History of influencing cross-functional and multi-organisation technical initiatives.

• Experience operating in complex, highly regulated, or high-availability environments.

• Exposure to multi-infrastructure or hybrid architectures.

• Consistent record of delivering long-term technical impact beyond individual projects.

Who You Are:

• Visionary leader with strong business orientation and technical depth.

• Collaborative, able to unify technical voices and align stakeholders.

• Mentor and coach, elevating the technical bar for senior talent.

• Clear, persuasive communicator across all organisational levels.

• Strategic thinker with a passion for architectural integrity.

• Adaptable and resilient in fast-paced, evolving environments.

• Trusted advisor to executives, engineering, and strategic customers.

• Committed to diversity, inclusion, and fostering innovation.

The Team You’ll Be A Part Of:

You’ll join a high-impact team of senior architects and platform engineers dedicated to advancing Synopsys’ AI infrastructure and ecosystem platforms. This team operates at the forefront of technology, championing architectural excellence and driving enterprise-wide innovation. The team’s core focus is on building scalable, secure, and extensible GenAI and agentic AI systems, enabling transformative solutions for internal and external customers. Collaboration, mentorship, and technical leadership are central to the team’s culture, ensuring that Synopsys remains a leader in the AI and infrastructure space.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Anthropic is seeking a Senior Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets , the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure.

As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.

This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business.

Responsibilities

• Lead end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis

• Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)

• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made

• Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on

• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates

• Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio

• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team

• Serve as a key point of contact with external auditors on fixed asset and capex accounting matters

• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you

• Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies

• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred

• Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets

• Have experience managing a significant fixed asset portfolio in a high-growth environment

• Demonstrate strong analytical abilities and comfort working with large, complex datasets

• Have a track record of improving scalable financial processes in fast-moving environments

• Have experience mentoring and developing accounting professionals

• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders

• Communicate clearly and influence effectively across cross-functional partners

• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have

• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts)

• Experience with fixed asset subledger systems at scale

• SQL proficiency for querying and analyzing large infrastructure and accounting datasets

• Background in Big 4 accounting or advisory services combined with industry experience

• Experience with complex data center buildouts or hybrid cloud / on-premise environments

• Knowledge of AI/ML infrastructure and associated cost structures

• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation

• Proven ability to navigate ambiguity and drive results in rapidly changing environments

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

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You will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale.

Responsibilities:

• Lead end-to-end accounting for Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis
• Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments)
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems
• Design and scale systems, processes, and controls to support a rapidly growing lease portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you:

• Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease portfolio in a high-growth environment
• Demonstrate strong analytical abilities and comfort working with large, complex datasets
• Have a track record of improving scalable financial processes in fast-moving environments
• Have experience mentoring and developing accounting professionals
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have:

• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases)
• Experience with lease accounting software at scale
• SQL proficiency for querying and analyzing large infrastructure and accounting datasets
• Background in Big 4 accounting or advisory services combined with industry experience
• Experience with complex data center buildouts or hybrid cloud / on-premise environments
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

The annual compensation range for this role is $190,000-$230,000 USD.

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This is a zero-to-one role. You'll establish the infrastructure, the economics, and the operational playbook that enables Anthropic's partners to consistently deliver high-quality outcomes at scale.

Key responsibilities include designing and launching a productised package programme, owning the partner-matching engine, managing inbound sales requests end-to-end, recruiting and certifying a delivery partner bench across tiers and regions, defining the unit economics, building and maintaining both the partner-facing delivery kit and internal playbook, and instrumenting each package against its promised outcomes.

The ideal candidate will have experience running a partner-delivered services or packaged-offering programme at a hyperscaler, SaaS company, or systems integrator, and demonstrated ability to productise professional services , turning bespoke consulting into repeatable offerings partners can sell and deliver without custom scoping each time.

The annual compensation range for this role is £160,000-£215,000 GBP.

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You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), power purchase agreements and energy contracts (including those containing embedded derivatives under ASC 815), and counterparty or joint-venture structures (ASC 810 VIE analysis).

Key responsibilities include:

• Serving as the technical accounting subject matter expert for Anthropic's most complex infrastructure and energy arrangements
• Applying ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts
• Applying ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities
• Applying ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives
• Leading technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready

You may be a good fit if you:

• Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role
• Hold a Bachelor's degree in Accounting or Finance; CPA required
• Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements

Strong candidates may have:

• Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience
• Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure

The annual compensation range for this role is $230,000-$300,000 USD.

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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.

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, storage readiness, network turn-up, testing, and production handoff
• Coordinate BOM readiness, server delivery, racks, optics, cabling, storage hardware, and vendor milestones
• Partner with engineering teams to align compute, storage, and networking dependencies before cluster activation
• Manage deployment of storage systems supporting training and inference workloads, including readiness, validation, performance checks, and scaling plans
• Coordinate backbone capacity expansion, cross-connects, inter-region pathing, and cloud interconnect readiness with Azure and third-party providers
• Lead physical deployment execution including rack-and-stack, hardware bring-up, L1 validation, and site acceptance criteria
• Build repeatable deployment playbooks, dashboards, governance cadences, and operating mechanisms for scale
• Identify risks early across supply chain, site readiness, technical constraints, and vendor execution, then drive mitigation plans
• Communicate milestones, escalations, and capacity forecasts to senior leadership

Qualifications:

• 8+ years of experience in technical program management, infrastructure deployment, network deployment, or data center operations
• Strong experience delivering programs involving compute, storage, networking, or large-scale infrastructure systems
• Working knowledge of servers, clusters, storage arrays, routers, switches, optics, and structured cabling
• Experience owning cross-functional programs across engineering, operations, supply chain, and external vendors
• Strong understanding of deployment lifecycles from planning and procurement through production handoff
• Ability to reason across physical infrastructure execution and logical systems architecture dependencies
• Proven ability to build integrated schedules and drive accountability across multiple stakeholders
• Strong executive communication skills with experience managing critical escalations and leadership updates
• Comfortable operating in fast-moving environments with aggressive timelines and evolving priorities
• Highly analytical with strong problem-solving and execution instincts

Preferred Skills:

• Experience at a hyperscaler, cloud provider, AI infrastructure company, or global network operator
• Experience deploying GPU clusters, HPC systems, or large training environments
• Familiarity with distributed storage systems and high-performance data infrastructure
• Experience with PoP deployments, WAN backbone expansion, or global network buildouts
• Experience working across first-party, colo, and cloud environments
• Experience building repeatable infrastructure deployment systems in high-growth environments

About OpenAI:

OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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You'll own development and enforcement of QA/QC standards, inspection protocols, commissioning scope, and acceptance criteria, working closely with contractors, design teams, and commissioning partners to embed a quality-first culture.

Key Responsibilities

• Develop and maintain the portfolio-level QA/QC program for hyperscale data center construction (standards, checklists, acceptance protocols).
• Review and approve developer QA/QC and commissioning plans for alignment with project specs and industry best practices.
• Oversee site inspections across civil, structural, architectural, mechanical, and electrical scopes.
• Validate installation quality against drawings, specifications, and manufacturer requirements.
• Monitor and track punch list items, NCRs, and corrective actions with the developer and contractors, including critical Method of Procedure (MOP) work.
• Partner with the developer’s commissioning teams to ensure QA/QC documentation supports readiness for both functional and integrated testing.
• Validate functional and integrated systems testing completion in preparation for OAI acceptance.
• Maintain real-time quality tracking and reporting dashboards for program leadership.
• Train and guide site teams on quality expectations, inspections, and documentation standards.
• Drive continuous improvement by capturing lessons learned and updating standards for future sites.

Qualifications

• Have 10+ years managing quality and commissioning for mission-critical, hyperscale, or complex commercial developments.
• Have deep technical knowledge of construction means/methods and quality standards across major trades.
• Can interpret design documents, specs, and submittals to verify field compliance.
• Have experience developing and implementing quality management systems at program or portfolio scale.
• Communicate effectively with executives, contractors, and site teams,translating findings into actionable recommendations.
• Proactively identify quality risks before they impact cost or schedule.
• Thrive in fast-paced, complex environments and can drive accountability across stakeholders.

Preferred Skills

• Experience delivering QA/QC and commissioning programs for hyperscale data centers (e.g., >50MW campuses) across multiple regions.
• Familiarity with industry commissioning standards and frameworks (e.g., ASHRAE, Uptime Institute, CSA, BICSI).
• Deep expertise in mission-critical MEP systems, including power (MV/LV), cooling (chilled water, DX), controls, and redundancy architectures (N, N+1, 2N).
• Experience working with JDM/ODM or developer-led delivery models, including navigating multi-party accountability structures.
• Proven track record managing third-party commissioning agents (CxA) and integrating their work into broader program QA/QC frameworks.
• Strong understanding of digital QA/QC and commissioning tools (e.g., Procore, BIM 360, PlanGrid, CxAlloy, Bluebeam, or similar platforms).
• Experience building and scaling portfolio-level quality dashboards and reporting systems for executive visibility.
• Ability to operate effectively in global environments, including managing cultural, regulatory, and contractor differences across regions.
• Background in failure analysis, root cause investigation, and reliability engineering for mission-critical infrastructure.
• Bachelor’s degree in Engineering, Construction Management, or related field (advanced degree or professional certifications such as PE, PMP, CxA, LEED are a plus)

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You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.

This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.

Key Responsibilities:

• Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.
• Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.
• Develop performance models to guide decisions on:
• scale-up vs. scale-out architectures
• interconnect and network design
• memory hierarchy and system balance.
• Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
• Influence reference designs and vendor roadmaps through data-driven insights.
• Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.
• Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.
• Continuously improve modeling fidelity by validating against real system behavior and measurements.

Qualifications:

• Have experience owning or building performance modeling frameworks used to drive real system design decisions.
• Have deep knowledge of AI/ML workloads, including training and/or inference at scale.
• Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.
• Are comfortable working across abstraction layers,from workload behavior to hardware implementation.
• Have experience using modeling (analytical or simulation) to inform architectural decisions.
• Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.
• Communicate clearly and influence both internal teams and external partners.

Preferred Skills:

• Experience working with hardware vendors (ODM/JDM, silicon, networking).
• Background in data center infrastructure or hyperscale systems.
• Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).
• Experience influencing hardware roadmaps or reference architectures.
• Prior experience leading or mentoring engineers.

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You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.

This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.

Key Responsibilities:

• Define rack- and cluster-level reference architectures for AI infrastructure deployments.
• Translate workload requirements into clear system design specifications and partner deliverables.
• Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.
• Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).
• Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.
• Influence and shape vendor roadmaps to meet future infrastructure needs.
• Track emerging technologies and evaluate their applicability to AI systems.
• Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.
• Act as a key interface between OpenAI and external partners, ensuring execution against design intent.

Qualifications:

• Have strong experience in system architecture for large-scale infrastructure or data center environments.
• Understand AI workload characteristics and how they map to system-level design decisions.
• Are comfortable working with performance modeling outputs to inform architectural direction.
• Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).
• Can drive alignment across multiple stakeholders with competing constraints.
• Have a track record of turning ambiguous requirements into clear, executable system designs.
• Are proactive in identifying gaps and driving solutions across organizational boundaries.

Preferred Skills:

• Experience defining rack- or cluster-level systems for hyperscale or AI workloads.
• Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.
• Experience influencing vendor roadmaps and reference designs.
• Background in infrastructure deployment, hardware engineering, or systems integration.
• Experience leading PoCs or early-stage hardware validation efforts.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Industrial Compute team at OpenAI is responsible for all things compute capacity, from our partnership deals (i.e. stargate) through the delivery and operations of this capacity. The team is a fast-paced, dynamic team working on the cutting edge of capacity at scale, speed, quality, and cost, while enabling the best AI Frontier models and beyond.

About the Role

This role is responsible for ensuring the on time and quality delivery of the compute capacity that continues to unlock the best frontier AI models in the world. The role will work across multiple delivery suppliers and various delivery models to ensure OpenAI has the right capacity, at the right time.

You’ll be responsible for:

• Direct accountability to capacity delivery as it ties to contract and business demands.
• Relationship management with each of our core delivery partners
• Executive communications on delivery status, challenges, and mitigations.
• Partnership within the industrial compute domain, from our deals team through to sustaining operation of the capacity.
• The role will manage a team of industrial leaders focused on capacity delivery through our partnerships.

We’re looking for someone with:

• Hyperscale data center experience or equivalent
• A deep understanding of delivery models, experiences and risk management.
• Strong executive presence
• Excellent managerial and leadership skills
• Ability to have significant influence on delivery outcomes with limited direct ownership of contracted models.
• A good to strong understanding of the underlying architecture (e.g. Cerebras, AMD, TPUs, Nvidia platforms (current and next-gen), Trainium, etc) would be a great benefit.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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This role sits at the intersection of hardware design, manufacturing, supplier engagement, and datacenter deployment. You will work closely with compute, mechanical, power, and networking teams to define rack architectures and ensure they are manufacturable, scalable, and operationally reliable.

Key responsibilities include owning the technical definition and lifecycle management of rack infrastructure, driving rack architecture decisions, translating system requirements into manufacturable rack-level designs, and partnering with design and manufacturing teams to ensure rack systems are optimized for manufacturability, assembly, serviceability, and datacenter installation.

The ideal candidate will have 10+ years of experience in hardware product engineering, system integration, manufacturing engineering, or datacenter infrastructure engineering, and a strong analytical and problem-solving skills with experience resolving complex hardware integration issues.

Additional requirements include experience developing and deploying rack-level infrastructure for compute systems or datacenters, demonstrated ability to drive cross-functional technical programs from concept through manufacturing and deployment, and strong communication and collaboration skills.

Preferred skills include experience with hyperscale datacenter infrastructure or large-scale compute deployments, deep familiarity with rack architectures, liquid cooling, power distribution systems, and compute integration, and experience working with ODMs, JDMs, or contract manufacturers.

As a Rack Product Engineer at OpenAI, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to the development of innovative AI systems.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms.

About the Role

We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure.

In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services.

Key Responsibilities

• Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations.

• Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment.

• Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.

• Drive server platform decisions involving CPU, memory, NIC, GPU, and storage subsystem integration.

• Partner with performance modeling teams to quantify tradeoffs across compute, memory, I/O, and storage bottlenecks.

• Work with silicon and hardware vendors on roadmap influence, feature requests, qualification plans, and technical escalations.

• Lead bring-up and validation efforts for new CPU and storage platforms in lab and production environments.

• Partner with networking and cluster architecture teams to optimize end-to-end node design and data movement.

• Support supply chain and sourcing teams with technical vendor assessments and second-source strategies.

• Drive reliability, serviceability, and fleet lifecycle planning for compute and storage platforms.

• Translate future AI workload requirements into infrastructure platform specifications.

• Provide technical leadership across cross-functional stakeholders and executive reviews.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field; advanced degree preferred.

• 10+ years of experience in server hardware, systems architecture, data center infrastructure, or hyperscale compute platforms.

• Deep expertise in modern CPU architectures (x86, ARM, accelerator host systems) and server platform design.

• Strong understanding of memory systems, PCIe/CXL fabrics, NUMA behavior, and platform-level performance constraints.

• Experience with storage systems including NVMe, SSD qualification, RAID, distributed storage, object/file systems, or high-performance data pipelines.

• Experience evaluating hardware tradeoffs across performance, cost, power, thermals, and supply availability.

• Familiarity with GPU clusters and AI training/inference infrastructure strongly preferred.

• Experience working directly with OEMs, ODMs, silicon vendors, or storage vendors.

• Strong systems thinking with ability to connect component decisions to fleet-level outcomes.

• Excellent communication skills with the ability to influence engineering and executive stakeholders.

• Proven ability to operate in fast-moving, ambiguous environments with high ownership.

Preferred Skills

• Experience designing infrastructure for large-scale AI or HPC environments.

• Familiarity with CPU vendor roadmaps across AMD, Intel, and ARM ecosystems.

• Experience with distributed storage architectures supporting GPU clusters.

• Knowledge of fleet operations, hardware lifecycle management, and production deployments at scale.

• Prior experience in hyperscale cloud, AI infrastructure, or advanced compute environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County

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This role serves as the primary delivery owner and strategic operational interface for key Stargate programs, ensuring successful execution across construction, datacenter operations, hardware deployment, and partner ecosystems. You will operate across technical infrastructure, delivery execution, and partnership management to ensure infrastructure programs move quickly, efficiently, and reliably from buildout through operational readiness.

This is a people management role requiring strong physical infrastructure experience, delivery leadership through turn-up, and the ability to navigate complex multi-partner environments with urgency and clarity.

Key Responsibilities:

• Own operational delivery for major Stargate infrastructure programs across partner-operated datacenter campuses

• Serve as OpenAI’s primary delivery interface with strategic infrastructure partners

• Coordinate execution across construction, facilities, hardware deployment, and infrastructure operations teams

• Drive operational readiness for large-scale AI compute infrastructure

• Manage day-to-day collaboration with partner operations, construction, and delivery teams

• Ensure alignment between partner execution and OpenAI infrastructure priorities

• Identify and remove blockers impacting datacenter deployment and operational readiness

• Drive resolution of complex operational issues across multiple organizations

• Establish operational rhythms, reporting, and escalation paths for major delivery programs

• Work closely with internal teams including infrastructure engineering, datacenter operations, hardware deployment, networking, and supply chain

• Align technical execution with commercial and operational commitments

• Ensure infrastructure programs meet schedule, reliability, and scale targets

• Balance tactical operational execution with long-term infrastructure strategy

• Develop scalable processes for managing large infrastructure partnerships

Qualifications:

• 12+ years of experience in infrastructure delivery, datacenter operations, or large-scale technical program execution

• Experience managing complex partner relationships in infrastructure, cloud, or hyperscale environments

• Strong understanding of physical infrastructure operations (datacenters, facilities, construction, or network/hardware deployment)

• Experience coordinating cross-functional programs across engineering, operations, and external partners

• Ability to navigate ambiguity and drive outcomes across distributed teams

Preferred Skills:

• Experience with hyperscale datacenter development or operations

• Experience managing infrastructure delivery with major cloud or infrastructure providers

• Background in construction, datacenter campus buildouts, or infrastructure deployment programs

• Strong operational leadership in large-scale mission-critical environments

• Track record of leading complex infrastructure initiatives with significant external partners

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In this role, you will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale.

Responsibilities:

• Lead end-to-end accounting for Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis
• Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments)
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems
• Design and scale systems, processes, and controls to support a rapidly growing lease portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

Requirements:

• 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease portfolio in a high-growth environment
• Demonstrate strong analytical abilities and comfort working with large, complex datasets
• Have a track record of improving scalable financial processes in fast-moving environments
• Have experience mentoring and developing accounting professionals
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have:

• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases)
• Experience with lease accounting software at scale
• SQL proficiency for querying and analyzing large infrastructure and accounting datasets
• Background in Big 4 accounting or advisory services combined with industry experience
• Experience with complex data center buildouts or hybrid cloud / on-premise environments
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

Annual compensation range for this role is $190,000-$230,000 USD.

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Anthropic is seeking a Senior Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets , the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure.

As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.

This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business.

Responsibilities

• Lead end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis

• Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)

• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made

• Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on

• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates

• Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio

• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team

• Serve as a key point of contact with external auditors on fixed asset and capex accounting matters

• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you

• Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies

• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred

• Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets

• Have experience managing a significant fixed asset portfolio in a high-growth environment

• Demonstrate strong analytical abilities and comfort working with large, complex datasets

• Have a track record of improving scalable financial processes in fast-moving environments

• Have experience mentoring and developing accounting professionals

• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders

• Communicate clearly and influence effectively across cross-functional partners

• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have

• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts)

• Experience with fixed asset subledger systems at scale

• SQL proficiency for querying and analyzing large infrastructure and accounting datasets

• Background in Big 4 accounting or advisory services combined with industry experience

• Experience with complex data center buildouts or hybrid cloud / on-premise environments

• Knowledge of AI/ML infrastructure and associated cost structures

• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation

• Proven ability to navigate ambiguity and drive results in rapidly changing environments

Annual compensation range for this role is $190,000-$230,000 USD.

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This role is responsible for translating partnership and product strategy into clear, repeatable programs that help system integrators build, sell, and deliver with Claude. You will own enablement for a portfolio of our most strategic global SIs and set the strategy, operating model, and team that extends that work across the broader service provider ecosystem, from global integrators to regional and specialist firms.

In this role, you will:

• Define and lead Anthropic's enablement strategy for the global system integrator ecosystem
• Serve as the enablement lead for a portfolio of strategic global SIs, accountable for practitioner readiness and certification outcomes
• Build and scale the SI enablement function, including team, operating model, and coverage approach across partner segments
• Design and operationalize repeatable programs across onboarding, technical workshops, train-the-trainer, hackathons, and product launches
• Develop partner learning pathways and certification delivery models that scale across large practitioner populations
• Create high-quality enablement content such as playbooks, solution guides, and technical assets
• Enable Anthropic sellers and partner managers to engage, position, and co-sell effectively with SIs
• Partner cross-functionally to align priorities, share infrastructure, and ensure consistent execution across partner-facing initiatives
• Establish metrics and reporting to track partner activation, certification progress, pipeline contribution, and program effectiveness
• Build feedback loops that bring partner insights back into enablement, product, and GTM strategy

You might thrive in this role if you:

• Have 7-10+ years of Partner Enablement, Alliance or Sales experience
• Have built and scaled partner enablement or practice development programs in high-growth technology environments
• Have deep experience working with or inside large global system integrators and understand how they build, staff, and grow a technology practice
• Bring existing senior relationships across the SI ecosystem and the executive presence to influence practice and alliance leadership
• Turn complex product and GTM strategy into clear, scalable programs
• Are an effective operator who can lead cross-functional initiatives across complex organizations
• Thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1
• Think in systems, operating models, and tiered coverage rather than one-off efforts
• Are technically curious about AI and credible with both business and technical partner audiences

Strong candidates may also have:

• Experience building or running an authorized training partner or certified instructor network
• Prior ownership of, or close partnership with, a technology certification program
• Time spent inside a GSI's AI, data, or cloud practice, or on a hyperscaler's SI alliance team
• A track record connecting enablement activity to pipeline and revenue outcomes
• Experience scaling programs across multiple regions, including offshore delivery centers
• People management experience with distributed or matrixed teams

Logistics:

This role must be based in one of our hubs: San Francisco, New York, or London. We operate a hybrid model and expect regular time onsite with partners and at Anthropic offices. Expect roughly 25-35% travel.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $190,000-$310,000 USD

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You'll translate infrastructure and product capabilities into commercial propositions, partnering with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver, and when. You'll serve as the internal subject matter expert on international readiness requirements, advising on deals, partnerships, and policy positions as they arise.

You'll build scalable processes for capturing, triaging, and acting on international product feedback so it doesn’t get lost in HQ product cycles. You'll serve as the GTM strategist for Anthropic’s mission-oriented international programs, including our approach to responsible AI deployment in democratic allied nations and our strategy for expanding access and affordability in Global South markets.

You'll partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation, not just a policy framework. You'll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic’s positioning and commercial strategy.

Responsibilities

• Contribute to Anthropic’s international compute strategy
• Develop a framework for evaluating and sequencing data residency and sovereign deployment requests
• Identify and document international customer requirements for product localization
• Translate infrastructure and product capabilities into commercial propositions
• Serve as the internal subject matter expert on international readiness requirements
• Build scalable processes for capturing, triaging, and acting on international product feedback
• Serve as the GTM strategist for Anthropic’s mission-oriented international programs
• Partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation

Requirements

• 5–7 years in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope
• Strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements
• Experience working with or selling to government customers or regulated enterprises
• Ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations
• Comfortable building internal processes from scratch
• High autonomy and strong written communication
• Direct experience with sovereign cloud programs, regulated data environments, or government AI initiatives is a plus
• Familiarity with EU AI Act, India DPDP Act, or similar regulatory frameworks shaping enterprise AI deployment internationally is a plus
• Experience at a hyperscaler, cloud provider, or enterprise SaaS company navigating international infrastructure decisions is a plus
• An interest in the intersection of AI, democratic governance, and responsible technology deployment is a plus
• Annual salary: £120,000-£170,000 GBP

$190,000-$270,000 USD

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This role owns the portfolio-level operating system: translating capacity supply pipeline into integrated project plans that span every phase of delivery, building the tooling and automation that runs it at scale, and maintaining Anthropic's datacenter capacity catalog , a lifecycle view of our fleet that supports both execution orchestration and steady-state capacity planning.

Responsibilities:

• Manage the integrated master plan for each site across the portfolio , stitching power ramp, design, construction, sourcing, deployment, and operations readiness into a single coordinated schedule with clear milestones and dependencies
• Develop and maintain Anthropic's datacenter catalog for deployed and in-progress capacity. Manage the portfolio-level view of physical infrastructure & cluster interfaces across all sites and partners to enable planning decisions such as equipment fungibility, accelerator platforms, tech insertion, or workload allocation
• Define and run the stage gates and decision locks for cluster delivery , from lease execution to design lock through procurement, construction, equipment installation, commissioning, and handover
• Drive gate reviews, manage exceptions, and track the downstream impact of deviations across the portfolio
• Manage portfolio reviews and risk tracking for DC Infra leadership and Compute Supply

Tooling & process:

• Develop tooling and automation to enable cross-functional planning flow-down from datacenter capacity availability dates
• Partner with Design, Supply Chain, Construction, and DC Ops program leads to drive cross-pillar process improvements as portfolio scales

You may be a good fit if you:

• Are familiar with the full datacenter buildout lifecycle: pipeline → design → sourcing → construction → Cx → deployment
• Have run integrated portfolio or master-schedule planning across a fleet of capital projects (datacenter, energy, fab, or similar) where multiple functional orgs each own a phase
• Have built a stage-gate or decision-lock system from scratch and gotten functional leads to adopt it
• Have re-architected a deployment or delivery process at scale and can point to the cycle-time or throughput result
• Build the tooling yourself using AI-assisted development , stand up planning dashboards, schedule automation, and data pipelines from Smartsheet/P6/partner systems
• Proactively surface schedule risk across functions , comfortable flagging a problem in someone else's domain before it becomes a slip
• Track record of driving outcomes through influence with cross-functional partners

Strong candidates may also have:

• Experience building a portfolio planning and execution function from scratch at a hyperscaler or large industrial owner
• Exposure to capacity planning or S&OP processes that connect demand forecast to physical build
• Experience product-managing internal planning, workflow, or scheduling systems

The annual compensation range for this role is $365,000-$485,000 USD.

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This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region , you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution.

Responsibilities:

• Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection
• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
• Serve as project manager for cross-functional stakeholder engagement , coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution
• Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status
• Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure
• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
• Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly
• Marry the right projects, capital stacks, and developers at the right stages
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region
• Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy

You may be a good fit if you:

• Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
• Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape
• Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
• Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ-based teams and external partners

It's a bonus if you:

• Have experience with data center or hyperscale infrastructure transactions specifically
• Come from the development side of the industry rather than traditional brokerage/leasing , you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)
• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
• Have worked with legal teams on complex lease negotiations or infrastructure agreements
• Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection)
• Have relationships within the Australian data center developer and broker ecosystem
• Have a background in corporate development, strategic partnerships, or infrastructure investment
• Have experience in high-growth technology companies managing infrastructure expansion

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams.

Responsibilities:

• Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.
• Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes
• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
• Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution
• Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status
• Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint
• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms

You may be a good fit if you:

• Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
• Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners
• Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
• Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization

It's a bonus if you:

• Have experience with data center or hyperscale infrastructure transactions specifically
• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
• Have worked with legal teams on complex lease negotiations or infrastructure agreements
• Possess familiarity with data center developer ecosystems and market dynamics
• Have experience in high-growth technology companies managing infrastructure expansion
• Understand utility coordination, power procurement, or energy considerations in data center transactions
• Have a background in corporate development, strategic partnerships, or infrastructure investment

The annual compensation range for this role is $365,000-$435,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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This high-visibility, mission-critical role will oversee the full lifecycle of a large-scale natural gas-fired combined cycle facility, incorporating Doosan Enerbility's advanced gas turbines, steam turbines, HRSGs, balance-of-plant systems, and supporting infrastructure. You will drive aggressive timelines, ensure world-class safety and quality, manage complex stakeholder interfaces, and deliver the power foundation required to scale AI training at unprecedented levels.

Responsibilities:

• Lead end-to-end construction of the Doosan combined cycle power plant, from site preparation and civil works through mechanical/electrical installation, commissioning, and handover.
• Serve as xAI's primary on-site leader, managing interfaces with Doosan Enerbility, EPC contractors, subcontractors, utilities, and regulatory authorities.
• Develop and maintain detailed construction schedules, resource plans, and progress tracking (using Primavera P6 or similar tools) to meet xAI's aggressive delivery targets.
• Oversee procurement, logistics, erection, and integration of major equipment including gas turbines, steam turbines, generators, HRSGs, cooling towers, fuel systems, and electrical substations.
• Enforce rigorous safety, environmental, and quality standards, ensuring full compliance with permits, emissions controls, OSHA, EPA, and local regulations.
• Manage project budget, cost forecasting, change orders, and risk mitigation; proactively resolve issues to avoid delays or cost overruns.
• Coordinate commissioning, startup, performance testing, and seamless transition to operations teams.
• Lead and motivate large field teams (200+ personnel), subcontractors, and vendors in a high-velocity environment.
• Provide regular progress updates, risk assessments, and key metrics to xAI senior leadership.

Basic Qualifications:

• 15+ years of progressive construction management experience on large-scale industrial projects, with 8+ years specifically leading combined cycle power plant construction (500 MW+ scale preferred).
• Proven track record delivering gas-fired combined cycle facilities on time and budget, including turbine erection, HRSG installation, and balance-of-plant integration.
• Deep expertise in power plant construction sequencing, major equipment installation, piping, electrical systems, and grid interconnection.
• Strong knowledge of U.S. permitting processes, environmental compliance (air quality, emissions, noise), and utility coordination.
• Demonstrated leadership managing large teams, multiple subcontractors, and international OEM vendors under pressure.
• Proficiency with project management tools (Primavera P6, MS Project), cost control, and risk management.
• Ability to thrive in fast-moving, high-ambiguity environments with a no-excuses mindset.

Preferred Skills and Experience:

• Direct experience with Doosan Enerbility (or similar OEMs like GE, Siemens, Mitsubishi) combined cycle projects.
• Background in power infrastructure supporting data centers, hyperscalers, or mission-critical facilities.
• Familiarity with fast-track construction approaches in the tech/energy sector.
• Bachelor’s degree in Construction Management, Mechanical/Electrical Engineering, or related field; PE license or advanced degree a plus.
• Knowledge of advanced emissions controls and sustainability practices in power generation.

Additional Requirements:

• Willingness to work extended hours and be fully onsite during peak construction phases.
• Ability to stand/walk for long periods, work in industrial environments, and travel as needed.

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The Anthropic Platform Org's mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.

Responsibilities:

Customer Understanding & Advocacy

• Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
• Run regular feedback sessions and technical reviews with key enterprise customers
• Build strong relationships with enterprise development teams to understand their workflows and challenges
• Transform customer insights into actionable product requirements and priorities

Product Strategy & Vision

• Define and execute the enterprise API strategy, balancing security requirements with developer experience
• Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
• Identify and prioritize key enterprise integration patterns that drive organisational value

Enterprise API Development

• Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
• Design and implement enterprise integration frameworks and SDKs for common enterprise systems
• Drive development of industry-specific API features and compliance capabilities

Cross-functional Leadership

• Partner with sales and customer success to understand enterprise requirements and support technical evaluations
• Work closely with security and compliance teams to meet enterprise standards
• Collaborate with platform teams on API architecture and scalability
• Engage with marketing to develop enterprise API positioning and technical materials

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability developer-facing software.
• Have 5+ years of product management experience.
• Have built or shipped products with a hyperscaler as a partner , you know how to align goals and deliver impact across that boundary.
• Have owned a revenue number, a margin target, or a channel P&L , not just a product roadmap.
• Operate with high autonomy in ambiguous, fast-moving environments.
• Are an excellent written communicator and able to drive clarity out of complexity.
• Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organisation.

Strong candidates may also have:

• Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
• Direct experience as a PM at AWS, GCP, or Azure , or at an ISV that ships through one of their marketplaces.

The annual compensation range for this role is $305,000-$385,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Responsibilities

• Quickly adapt to a rapidly changing environment and learn new emerging networking technologies
• Design and deploy consistent large scale networks rapidly, leveraging automation
• Participate in peer reviews, design discussions, and architectural decisions
• Troubleshoot complex problems and support internal and external customers
• Share your knowledge and guide junior team members, fostering a culture of continuous learning and improvement
• Effectively collaborate across teams and areas of expertise

Requirements

• 7+ years of experience as a Network Engineer
• Experience managing Hyperscale Clos fabrics
• Networking OS Experience - Cumulus Linux, Sonic, Arista EOS, Junos, Cisco NX-OS
• Expertise with major routing protocols (BGP, ISIS, OSPF)
• Experience with encapsulation protocols (EVPN/VXLAN or Geneve)
• Experience automating configuration management (Ansible, SaltStack, home grown)
• Familiarity with scripting/programming (Shell, Python)
• Operational experience with Git
• Large scale network design, maintenance, and operations
• Experience leading complex projects as part of a team
• Deep understanding of TCP/IP
• Strong Linux skills

Nice-to-Haves

• College education in Computer Science, Electrical Engineering
• Certifications like CCNA, CCNP, JNCIA
• Experience with Kubernetes and CNIs (Calico, Cilium)

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As a Staff Network Security Engineer, you will:

Unravel and tackle network security challenges at an exhilarating global scale. Collaborate with exceptional network architects and engineers building the backbone infrastructure for the AI revolution. Enjoy the freedom and support to experiment, innovate, and significantly shape our approach to securing the underlay and overlay of our cloud.

In this role, you will: Conducting architecture reviews, protocol analysis, and design assessments to proactively identify and fix vulnerabilities in our backbone and data center fabrics. Developing robust, repeatable frameworks for network security automation (CoPP, ACL generation, Route Filtering) that make it easy for teams to build securely from day one. Collaborating closely with Network Engineering teams to integrate security checks and validation seamlessly into their CI/CD and config-push pipelines. Crafting clear, practical security guidance and documentation that empowers engineers to deploy secure routing policies and topologies. Actively participating in architectural discussions regarding peering, transit, and traffic engineering, providing insightful security recommendations. Occasionally, 'drawing the owl' - figuring out innovative solutions for securing massive throughput environments while navigating ambiguous situations.

You will be working with a talented team of network engineers, security experts, and AI researchers to build and deploy a highly scalable and secure cloud infrastructure.

If you are passionate about network security, cloud computing, and AI, and enjoy working in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.

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You'll focus on partner-sourced Scale pipeline generation, designing and running repeatable partner-led campaigns, systematic account mapping, and whitespace analysis that surface new logo opportunities for GitLab.

In this role, you'll work closely with Scale Account Executives, Field Marketing, regional sales leadership, and partners such as distributors, longtail resellers, and hyperscalers like AWS and Google Cloud to integrate partners throughout the sales cycle and accelerate marketplace transactions.

You'll own programmatic partner engagement across your territory, from partner enablement and activation at scale to event-driven strategies and 1:many campaigns via partner portals and automated systems.

Your work will directly support GitLab's Scale growth targets by building a measurable, partner-led demand engine.

Along the way, you'll deepen your experience in partner ecosystem management, digital marketing-driven demand generation, and modern sales development methodologies, while contributing to business planning, pipeline forecasting, and clear reporting on partner impact.

Key responsibilities include:

• Drive partner-sourced Scale pipeline generation through scalable partner programs, campaigns, and systematic account mapping initiatives.

• Collaborate with Scale Account Executives, Field Marketing, and regional sales leaders to integrate partners into territory planning and demand generation activities.

• Execute repeatable partner-led Scale campaigns aligned to regional territories, including industry plays, account blitzes, and market-specific roadshows.

• Identify whitespace and conduct detailed account mapping with partners to surface new logo opportunities and expand First Order reach.

• Build and maintain programmatic relationships with emerging partners, distributors, longtail partners, and hyperscaler partners such as Amazon Web Services (AWS) and Google Cloud, with a focus on new customer acquisition and marketplace transactions.

• Support partner enablement and activation programs to scale contribution across multiple partners, including hyperscaler co-sell and marketplace acceleration initiatives.

• Execute event-driven partner strategies, including partner alignment before events, lead capture during events, and pipeline conversion optimization after events.

• Manage one-to-many partner engagement through partner portals and automated systems, providing weekly pipeline forecasts, partner-sourced opportunity reports, and clear insights into campaign performance and territory impact.

To succeed in this role, you'll need:

• Experience in sales development, business development, or partner-driven pipeline generation in a B2B environment.

• Practical familiarity with partner ecosystems, including programmatic partner engagement and demand generation with distributors, longtail partners, and hyperscalers such as AWS and Google Cloud.

• Ability to design, execute, and optimize scalable, campaign-driven approaches to demand generation, including 1:many partner engagement and event-driven campaigns.

• Experience using Salesforce and modern sales development or marketing automation tools to manage, forecast, and report on partner-sourced pipeline and campaign performance.

• Strong analytical skills to interpret campaign results, partner activation metrics, and territory impact, and translate insights into actionable plans.

• Effective written and verbal communication skills, with a focus on clear, repeatable messaging and collaboration with account executives, field marketing, and regional sales leadership.

• Interest in GitLab, open source software, and modern software development practices, with the ability to learn and use GitLab and related tools.

• Openness to travel for partner events and field collaboration, and to apply transferable skills from related sales, partner, or digital marketing roles in a remote, results-focused environment.

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We are looking for a Senior Product Manager, IT SOX Compliance to join our team. This is not a traditional audit-support role. As the Product Manager, IT SOX Compliance, you will translate SOX compliance requirements into structured programs, drive accountability across IT process owners, and build the systems and workflows that make compliance scalable.

Key responsibilities include:

• Owning the end-to-end IT SOX compliance program within the CIO organisation, maintaining the IT control inventory spanning ITGCs, IT-dependent controls, and automated application controls
• Owning the control design and documentation, including narratives and risk and control matrices (RCMs), ensuring controls are clearly defined and audit-ready
• Partnering with IT, Accounting (where needed), and the SOX team to ensure new systems and modules are implemented with appropriate SDLC controls in place prior to go-live; reviewing control designs to identify and mitigate SOX risks
• On an ongoing basis, partnering with IT process owners and control operators to ensure controls are executed in a timely manner
• Reviewing control evidence for quality and completeness before submission to auditors
• Managing the full deficiency lifecycle , from root cause analysis through remediation planning, retesting, and escalation , reporting control health to IT leadership and the SOX team
• Leading root cause analysis for control failures and incidents, tracking and resolving systemic gaps, and implementing and validating remediation plans to prevent recurrence

You will work closely with the SOX team and IT process owners to ensure controls are designed, reviewed, and evidenced effectively.

The ideal candidate will have 8+ years of experience in IT audit, IT risk, IT compliance, or a related field, with hands-on IT SOX experience in either a practitioner or oversight capacity. You will have deep familiarity with IT General Controls (ITGCs) , access management, change management, SDLC, and computer operations , and how they map to financial reporting risk.

In addition to a competitive salary declaration, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, a casual work environment, and a work culture focused on innovative disruption.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core, Act Like an Owner, Empower Employees, Deliver Best-in-Class Client Experiences, Achieve More Together.

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organisation's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

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As a Staff Product Manager, Networking, you will own the strategy and roadmap for CoreWeave's advanced networking product portfolio. On a day-to-day basis, you will translate market insights, customer needs, and technical constraints into clear product requirements and execution plans. You will work closely with cross-functional partners to launch new products and evolve existing offerings, ensuring they meet CoreWeave's high standards for performance, scalability, and reliability.

This is a highly visible role with significant influence over the future of CoreWeave's networking platform.

CoreWeave is a rapidly growing company that prioritizes innovation and disruption. We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams.

If you love defining product strategy in technically complex, fast-evolving domains, are curious about emerging networking technologies, and are an expert at turning market insights and customer needs into scalable, high-impact products, then we'd love to talk.

At CoreWeave, we work hard, have fun, and move fast. We're in an exciting stage of hyper-growth that you will not want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is reflected in our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

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You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.

This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.

You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.

You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.

You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.

Responsibilities:

• Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.

• Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.

• Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.

• Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.

• Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.

• Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.

• Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.

• Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.

• Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.

• Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.

• Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.

You may be a good fit if you:

• Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.

• Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.

• Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.

• Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.

• Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.

• Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.

• Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.

• Hold a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.

Strong candidates may also:

• Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.

• Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.

• Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.

• Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.

• Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.

As the Global Logistics Data Center Operations Lead – (Americas or EMEA), you will:

• Lead end-to-end data center logistics operations for your region, spanning ramp and sustaining sites: dock-to-cage, storerooms, in-hall material flows, spares, and RMAs.

• Coordinate and develop Inventory Control Specialists (ICS) / Logistics Technicians, Regional Managers, and all DC logistics IC team members within your region.

• Translate build and M&O plans into DC logistics capacity, coverage, and staffing (by site and by mode: ramp vs sustain).

• Own DC storeroom performance: inventory accuracy, pick accuracy, dock-to-stock, order-to-“ready for install”, chain-of-custody, and audit readiness.

• Standardize and enforce SOPs, playbooks, and visual management for data center logistics across your region, aligned to global GLO standards.

• Partner closely with the Global Logistics Warehouse & FSL Operations Lead to ensure frictionless handoffs from warehouses/FSLs into DC logistics (crate handling, documentation, timing, and proof of delivery).

• Drive 3PL/4PL and white-glove performance at the DC interface (dock-to-cage, JIT deliveries, crate handling, returns) for your region.

• Lead regional cadence reviews with DC Ops, GLO, Security, and other stakeholders; publish KPI packs; own RCA/CAPA to closure for DC logistics issues.

• Act as the primary DC logistics point of contact for your region with Data Center Operations leadership, aligning site-level needs with global logistics capabilities.

• Mentor and grow frontline and regional DC logistics leaders and ICs, building a strong bench for future expansion.

About the role:

We are looking for a hands-on, operations-minded Global Logistics Data Center Operations Lead to standardize, coordinate, and continuously improve data center logistics execution across your region.

In this role, you will own all in-data-center logistics functions in your region, including:

• ICS / Logistics Technicians and their managers (regional and site level).

• Storeroom operations (receiving, tagging, binning, cycle counts, replenishment).

• Data hall support logistics (kitting, pre-stage, JIT deliveries, crate handling, returns).

• Spares and RMA flows in partnership with warehouses, FSLs, and 3PLs.

You will work in tight partnership with:

• The Global Logistics Warehouse & FSL Operations Lead, who owns the upstream warehouse/FSL network, WMS, and lease portfolio.

• Data Center Operations, who own construction and run operations in the halls.

• Security, Trade Compliance, IT/Systems, Finance, Procurement, and Real Estate/Legal to ensure DC logistics is safe, compliant, and scalable.

This is a senior operations lead role with people leadership responsibilities at the regional level and strong cross-functional influence.

Who You Are:

• Bachelor’s degree in Supply Chain, Logistics, Operations Management, Industrial Engineering, Business, or a related field (or equivalent experience).

• 8+ years in data center logistics, warehouse/DC operations, or high-value hardware logistics, with at least 3–5 years leading multi-site teams.

• Proven experience managing or leading ICS / logistics technicians / storeroom or DC logistics teams across multiple sites or a region.

• Strong background in inventory control and serialized asset management (cycle counts, reconciliations, variance analysis, SOX/audit readiness).

• Experience orchestrating ramp (build) and sustaining logistics modes at data centers or similarly complex environments.

• Comfortable working with and improving WMS, ERP, and asset/CMDB tools; strong spreadsheet/BI skills.

• Demonstrated ability to standardize SOPs and playbooks, stand up new sites, and drive behavioral adoption across teams.

• Excellent cross-functional communicator, able to work with DC operations, engineering, security, finance, procurement, and vendors.

• Willingness and ability to travel regionally (e.g., 25–40% depending on footprint and phase).

Preferred:

• Experience in AI, cloud infrastructure, or hyperscaler data center environments.

• Experience partnering with 3PL/4PL providers, white-glove carriers, and regional warehouse networks.

• Familiarity with 5S/lean, continuous improvement, and structured RCA/CAPA.

• Experience mentoring frontline managers and ICs; demonstrated team-building and talent development track record.

Why This Role Matters:

Data center logistics is the backbone that keeps builds on schedule and live environments stable. As the Global Logistics Data Center Operations Lead – , you:

• Ensure materials, spares, and RMAs flow cleanly into and out of data centers.

• Tie day-to-day dock and storeroom work to measurable service outcomes for build and operations.

• Act as the single-threaded owner for DC logistics performance in your region, enabling scale through repeatable standards.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $161,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

Healt

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In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, and a casual work environment.

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You will provide strategic and operational support on process and standards across the local data center portfolio. Continually evaluate and improve technical operational processes and procedures in collaboration with the team. Review, comment on, and approve High-Risk emergency operating procedures for clients. Manage technical library content and structure to ensure global accessibility and relevance.

Audit processes and procedures (PPM system, reporting, statutory files) to ensure compliance and identify areas for improvement. Review operational procedural documents from commissioning documentation and site drawings. Review critical facilities operation procedural documents based on commissioning documentation and site drawings. Execute operational and performance risk assessments.

Work with the Operations Team to develop, track, and maintain procedures and policies. Lead by example, embodying CoreWeave values, and influence others to adopt best practices. Identify and solve complex technical and operational problems with a broad understanding of departmental impact. Drive improvements and changes to existing methods, processes, and standards within the technical discipline.

The base salary range for this role is $122,000 to $163,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

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The ideal candidate will have 5+ years of experience in data center operations, operations management, or mission-critical infrastructure in a 24/7 environment, a proven track record of building and scaling operational frameworks, strong project and program management skills, excellent written and verbal communication, experience facilitating root cause analysis and driving corrective action to closure, and comfort working with operational metrics and reporting.

In addition to a competitive salary, the company offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible PTO, catered lunch, and a casual work environment.

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As a Technical Sourcing Manager, Mechanical, Power and Thermal, you'll be the commercial lead for critical hardware systems and products powering our cutting-edge data center deployments. You'll spearhead strategic sourcing initiatives, build robust supplier relationships, and ensure supply chain resilience by developing diverse sourcing options.

Your expertise will be vital in navigating the hardware landscape, leading complex negotiations, and collaborating with engineering teams to shape business and technology roadmaps. Leveraging your deep industry knowledge and strategic supplier connections, you'll optimize the total cost of ownership for our rapidly expanding global infrastructure.

In this role, you will develop, implement, and refine comprehensive sourcing strategies and roadmaps across Mechanical, Power and Thermal suppliers, maintain a pulse on emerging technologies and industry trends to conduct competitive analyses, cultivate strong relationships with leadership at core suppliers, and lead complex supplier negotiations, RFQs/RFPs, and business awards.

You will also own and implement Master Supply Agreements and statements of work, drive commercial engagements for prototype sourcing and development to support seamless transitions from NPI to mass production, and propose and implement supply chain enhancements to drive efficiency and cost savings.

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.

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This role is accountable for preventing defects, reducing rework, and protecting schedule and cost by embedding quality early and consistently. You will act as the technical authority on quality standards, lead investigations into complex failures, and ensure corrective actions result in measurable improvement.

Success in this role requires disciplined execution, strong technical judgment, and the ability to operate effectively in fast-paced, high-stakes environments.

Key responsibilities include:

• Defining and maintaining CoreWeave's quality framework across suppliers, manufacturing partners, and field execution.
• Establishing quality standards, acceptance criteria, and inspection plans aligned to engineering specifications and operational requirements.
• Owning quality governance models, including escalation paths, corrective action processes, and executive reporting.
• Standardizing core quality processes: NCR, deviation requests, corrective actions workflows and lessons learned mechanisms.

• Leading supplier quality onboarding, qualification, and ongoing performance management for critical infrastructure vendors.
• Conducting supplier audits, FATs, and manufacturing readiness reviews to ensure conformance prior to shipment.
• Driving supplier corrective and preventive actions (CAPA) with measurable closure and sustained improvement.
• Partnering with Strategic Sourcing and Engineering to incorporate quality requirements into RFPs, contracts, and Supplier Quality Agreements and documentation requirements.

• Partnering with construction and commissioning teams to ensure equipment arrives complete, compliant, and installation-ready.
• Owning Investigation and resolution of field quality issues including defects, non-conformances, installation deviations and missing documentation.
• Ensuring lessons learned from field issues are systematically fed back into supplier requirements and RFPs.

• Defining and tracking quality KPIs such as First Pass Yield, Defect Rate, NCR closure time, and Supplier Quality Scorecards.
• Defining and maintaining accurate quality records within QMS, ERP, and project systems to enable traceability and audit readiness.
• Applying statistical analysis and root cause methodologies to identify systemic issues and drive continuous improvement initiatives.
• Building dashboards and operating rhythms to support OKR and metrics (quarterly/yearly quality business reviews)

Requirements include:

• 8–12+ years of experience in quality management, quality engineering, or supplier quality within infrastructure, manufacturing, or technology environments.
• Demonstrated experience building and owning quality management systems (QMS) across multi-supplier ecosystems.
• Proven track record conducting supplier audits, FAT/SATs, and driving CAPA programs with documented outcomes.
• Strong experience applying structured problem-solving methodologies (8D, FMEA, RCA, SPC) to reduce defect rates and systemic risk.
• Experience managing quality for complex mechanical and electrical systems (e.g., generators, switchgear, cooling equipment, power distribution).
• Ability to define, track, and report quality metrics tied to operational and financial impact.
• Bachelor’s degree in Engineering, Manufacturing, Quality, or related technical discipline.

Preferred qualifications include:

• Advanced degree (MS or PhD) in Engineering, Materials Science, or related field.
• Certifications such as ASQ CQE, CQA, Six Sigma Black Belt, or equivalent.
• Experience supporting hyperscale or AI-focused data center deployments.
• Experience operating within global, multi-region supplier networks.
• Familiarity with regulatory, safety, and compliance requirements relevant to critical infrastructure.
• Proficiency with quality and analytics tools (QMS platforms, ERP/MRP systems, Power BI/SQL is a plus)

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You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner.

You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross-functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment.

Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment.

Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders.

Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships.

Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production.

Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making.

Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements.

Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint.

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This role requires a deep understanding of SIs, ISVs and hyper-scaler ecosystems (AWS, Azure, GCP). A history with data and AI–driven business transformation and the ability to engage confidently with C-level executives at both partner and customer organisations.

Responsibilities:

• Define and execute the APJ SI and ecosystem strategy, aligned to global objectives and regional priorities.
• Build and scale a durable, high-value partner ecosystem spanning global system integrators (GSIs), regional partners, and other key partners across the region.
• Drive partner-led consumption of our platforms and solutions, ensuring measurable contribution to revenue, new logos and customer success.

SI & Ecosystem Development:

• Lead joint business planning and co-selling initiatives with key partners, ensuring alignment with their key accounts and GTM solutions.
• Create multi-year growth plans with top strategic partners, ensuring durable revenue streams.
• Drive certifications and badges with our enablement and solution architects, ensuring deep technical alignment.

Executive & C-Level Engagement:

• Represent the partner organization at the highest levels across the partner and customer ecosystem.
• Build trusted relationships with CXOs, board members, and industry thought leaders to drive strategic initiatives, joint investments, and executive sponsorship.

Leadership & Team Development:

• Inspire, mentor, and scale a high-performing alliances and channels team across APJ.
• Build a world-class culture of collaboration, innovation, and accountability.
• Attract and retain top talent, creating clear pathways for professional development and growth.

Operational Excellence:

• Own pipeline development, partner-sourced revenue, and consumption growth metrics.
• Drive operational rigor across partner programs, governance, and reporting.
• Champion cross-functional alignment with sales, marketing, product, and customer success to ensure ecosystem-driven success.

What we look for:

• 20+ years of leadership experience in technology sales, alliances, and partner ecosystem development, with a proven track record of impact across Asia Pacific & Japan.
• Bachelor’s degree required; Master’s preferred.
• Extensive experience in Data and AI technologies and their application to real-world business transformation.
• Demonstrated success working with hyperscalers (AWS, Azure, GCP) on joint go-to-market strategies, co-selling, and co-investment.
• Proven ability to influence C-level executives, boards, and global partner organizations.
• Strong understanding of the APJ market landscape, regional partner dynamics, and cultural nuances.
• Experience building and leading large, geographically distributed teams.
• Exceptional communication, negotiation, and executive presence skills.

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As a Senior Supply Materials Manager, you will own end-to-end supply execution for one or more strategic OEM and ODM partners across multiple concurrent hardware programs. You will ensure allocation commitments, material readiness, and manufacturing capacity align with CoreWeave's deployment plans. This role operates at the intersection of operations, sourcing, engineering, and suppliers, requiring strong execution discipline and comfort navigating ambiguity.

You will act as the single-threaded owner for supply execution, proactively identifying risks, driving recovery actions, and maintaining operational stability as new NVIDIA-based platforms ramp.

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love driving execution in complex, supply-constrained environments
• You're curious about how hardware, manufacturing, and supply chains come together at scale
• You're an expert at turning demand signals into executable supply plans

Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

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The Anthropic Platform Org's mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.

Responsibilities:

Customer Understanding & Advocacy

• Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
• Run regular feedback sessions and technical reviews with key enterprise customers
• Build strong relationships with enterprise development teams to understand their workflows and challenges
• Transform customer insights into actionable product requirements and priorities

Product Strategy & Vision

• Define and execute the enterprise API strategy, balancing security requirements with developer experience
• Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
• Identify and prioritize key enterprise integration patterns that drive organisational value

Enterprise API Development

• Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
• Design and implement enterprise integration frameworks and SDKs for common enterprise systems
• Drive development of industry-specific API features and compliance capabilities

Cross-functional Leadership

• Partner with sales and customer success to understand enterprise requirements and support technical evaluations
• Work closely with security and compliance teams to meet enterprise standards
• Collaborate with platform teams on API architecture and scalability
• Engage with marketing to develop enterprise API positioning and technical materials

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability developer-facing software.
• Have 5+ years of product management experience.
• Have built or shipped products with a hyperscaler as a partner , you know how to align goals and deliver impact across that boundary.
• Have owned a revenue number, a margin target, or a channel P&L , not just a product roadmap.
• Operate with high autonomy in ambiguous, fast-moving environments.
• Are an excellent written communicator and able to drive clarity out of complexity.
• Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organisation.

Strong candidates may also have:

• Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
• Direct experience as a PM at AWS, GCP, or Azure , or at an ISV that ships through one of their marketplaces.

The annual compensation range for this role is $305,000-$385,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You are joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.

Key Responsibilities:

• Design Technical Enablement Programs: Architect comprehensive enablement programs such as Advanced Technical Academies, Delivery Specializations, and technical onboarding to drive partner technical proficiency. In collaboration with Subject Matter Experts, you will define end-to-end learning paths, encompassing curriculum, assessments, and success metrics

• Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.

• Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.

• Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.

• Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.

• Quality Assurance & Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure 'best-in-class' delivery.

Minimum Qualifications:

• Education: Bachelor's degree in a technical discipline or equivalent practical experience.

• Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.

• Technical Depth: Deep understanding of Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.

• Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data & AI projects for external clients.

• Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.

• Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.

• Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.

Preferred Qualifications:

• Strong background in the Generative AI landscape.

• Experience scaling technical enablement within 'Hyperscaler' environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.

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Anthropic's services partner ecosystem is a critical channel for bringing Claude to enterprise customers worldwide. Firms like Persistent, Slalom, Ahead, DXC, and Genpact , represent a fast-growing segment of specialist and regional SIs whose reach, vertical depth, and delivery capacity are essential to scaling Claude's enterprise footprint. Managing this tier well requires rigor, repeatability, and a team that can drive meaningful joint outcomes across a broad portfolio of partners.

We're looking for a Manager of Partner Account Management to lead the team of Partner Account Managers responsible for a cohort of our services partnerships. You'll coach and develop a team of PAMs, shape the operating model for how we engage the tier, and build the programs, playbooks, and measurement systems that let us scale with quality. You'll work closely with partnerships leadership, sales, product, and customer success to ensure this group of partners are equipped to win and deliver transformative AI solutions for their clients.

This role sits at the intersection of team leadership, partner strategy, and operational execution. You'll stay close enough to the work to engage directly with partner leadership when it matters, while investing most of your time in making your team and the broader tier more effective over time.

Responsibilities:

Team leadership and development

• Lead, coach, and develop a team of Partner Account Managers covering a group of Anthropic’s services partners

• Set clear expectations, goals, and operating standards; hold the team accountable to partner revenue, pipeline, and program outcomes

• Hire and retain exceptional talent; build a team culture grounded in rigor, partnership, and care for Anthropic's mission

Program and operating model

• Shape the tier's operating model: how PAMs plan with partners, run QBRs, forecast, track partner health, and prioritize their time across a portfolio

• Partner with the broader SI program to adapt tier structure, benefits, and requirements to partner dynamics

• Build and evolve playbooks that help PAMs recruit, onboard, activate, and grow partners consistently

Enablement and partner success

• Work with enablement, product, and solutions teams to ensure partners have the training, certifications, and technical resources they need to build and deliver production-grade Claude solutions

• Identify gaps in partner readiness and drive cross-functional investment to close them

• Ensure consistent quality of partner engagement across the team

Cross-functional leadership and insights

• Collaborate with sales, partner operations, marketing, legal, and finance to remove friction and accelerate joint outcomes

• Surface partner, market, and product insights to inform Anthropic's broader partner strategy and roadmap

• Represent the business in partnership leadership forums

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Key responsibilities include:

• Owning the full corporate insurance program across all lines, including renewals, claims, and broker relationships

• Centralizing insurance ownership from stakeholders across Legal, Facilities, Security, Product, Policy, and Research into a single coherent program

• Meeting regularly with business leaders to surface emerging risks and design coverage or alternative risk-transfer strategies to address them

• Building relationships with carriers, underwriters, and regulators to help shape how the insurance market approaches AI-specific risk

• Thinking about risk transfer holistically, deciding when to insure, self-insure, use captives, transfer contractually, or mitigate operationally

• Embedding Claude throughout the insurance and risk workflow, from exposure modeling to renewal preparation

Strong candidates will have:

• Owned the full corporate insurance program at a company, including the full renewal cycle, claims, broker management, and board reporting

• Deep technical insurance depth, speaking credibly to coverage structure, exclusions, and pricing dynamics across major lines without deferring to a broker

• Built or significantly rebuilt a risk function, rather than only inheriting and maintaining one

• Thought about risk transfer holistically and articulated when not to buy a policy

• Operated at the pace of a fast-growing company and been seen as additive to the business, not a blocker

• Had a point of view on how to structure coverage for risks the market hasn't fully priced yet

Annual compensation range for this role is $300,000-$370,000 USD.

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Key responsibilities include:

• Owning and scaling the GTM tech stack (HubSpot, Clay, Gong, internal tools).
• Architecting and automating workflows to remove manual GTM tasks.
• Building systems to support consumption-based forecasting models linked to product telemetry.
• Developing dashboards and reporting for leadership visibility.
• Partnering cross-functionally to align data flows across Product, Sales, and RevOps.
• Evaluating and implementing new technologies to expand automation coverage.

To succeed in this role, you will need deep experience owning and automating CRMs at scale, a proven track record designing and deploying AI/LLM-powered agent workflows for revenue operations or sales, and experience with consumption-based revenue models and hyperscaler GTM environments (AWS, Azure, GCP).

The role offers a competitive salary range of $200,000 - $400,000 USD, as well as a comprehensive total rewards package including equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.

This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.

You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.

You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.

You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.

Responsibilities:

• Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.

• Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.

• Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.

• Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.

• Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.

• Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.

• Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.

• Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.

• Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.

• Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.

• Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.

You may be a good fit if you:

• Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.

• Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.

• Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.

• Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.

• Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.

• Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.

• Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.

• Hold a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.

Strong candidates may also:

• Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.

• Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.

• Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.

• Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.

• Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore.

Role Summary

We are seeking a strategic and execution-focused Product Manager to help lead our integration and go-to-market efforts as part of our partnerships team. In this role, you will drive the product strategy, roadmap, and joint initiatives to grow adoption of Mistral AI Studio through our partner ecosystem.

Responsibilities

Customer and Market Understanding

• Conduct market research to understand ecosystem trends, cloud buyer personas, and competitive dynamics.

• Engage with customers to gather feedback and validate product positioning, integrations, and features.

Product Vision and Strategy

• Define and champion the vision and roadmap for our partner strategy.

• Collaborate with cross-functional teams (science, GTM, marketing) to align product strategy with business objectives.

• Identify opportunities to innovate throughout the partner ecosystem.

Product Development

• Work closely with partner teams and Mistral engineering to define, prioritize, and build product integrations.

• Ensure our technical architecture supports security standards, scalability, and co-sell eligibility.

Go-to-Market Strategy

• Co-create and execute a joint GTM strategy with field and partner marketing teams to accelerate co-sell motion.

• Define value propositions, key differentiators, and messaging tailored to partner-specific personas.

• Lead packaging and pricing discussions for partner offers, ensuring alignment with enterprise use cases.

High-Quality Execution

• Drive high-quality product execution, delivering intuitive and impactful products on time and within budget.

• Architect the product around partner services and identify additional custom development requirements.

User Experience and Feedback

• Partner with UX and design teams to create seamless, intuitive experiences for partner-native user journeys.

• Incorporate continuous feedback from partner Preview programs, beta testing, and telemetry to refine features.

Performance Metrics

• Establish and track KPIs (revenue generation, active users, usage, retention, user satisfaction, CAC, profitability).

• Optimize product performance based on data-driven insights.

Stakeholder Management

• Build and maintain strong relationships with internal stakeholders and customers.

• Communicate product updates, launches, and roadmaps effectively.

Product Evangelism

• Serve as a company and product evangelist through thought leadership, blogging, social media, and industry events.

Requirements

• 7+ years of product management experience, preferably in cloud, SaaS, or developer platforms.

• Proven success in B2B platform integrations and working with partner ecosystems, especially cloud hyperscalers (Microsoft preferred).

• Deep understanding of Hyperscaler partnership programs (e.g., IP co-sell, ISV Success, Commercial Marketplace onboarding).

• Hands-on experience with cloud infrastructure services and ability to collaborate with engineers on API design, integrations, and infrastructure tradeoffs.

• Customer-centric mindset, strong communication and influencing skills, and ability to speak the language of developers, cloud architects, and DevOps professionals.

• Strategic thinker with a results-oriented, collaborative approach and problem-solving skills.

Benefits

• Competitive salary and equity

• Healthcare: Medical/Dental/Vision covered for you and your family

• 401K: 6% matching

• PTO: 18 days

• Transportation: Reimburse office parking charges, or $120/month for public transport

• Sport: $120/month reimbursement for gym membership

• Meal stipend: $400 monthly allowance for meals

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

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What we're all about.

Our DATA values—Determination, Ambition, Teamwork, Accountability—aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.

As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes.

Make Every Decision Count with Context

The opportunity.

Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.

This role will include:

• Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem
• Technical leadership of partner architecture
• Management of Partner Solution Architects as Player Coach i.e. Lead by example
• Execution of joint solution engineering with hyperscalers, industry ISV’s & GSIs
• Executive engagement and business impact through ecosystem consumption & marketplace ARR

What you'll be doing.

• Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations.
• Lead co-innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks.
• Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions.
• Create enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk.
• Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation
• Lead, mentor, and scale a global team of Partner Solution Architects focused on:

• Joint solution architecture
• Partner-led PoCs/PoVs
• Demo and sandbox platforms
• Deployment acceleration
• Technical certifications and readiness

• Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry.
• Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs.
• Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR.
• Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution
• Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring:

• Marketplace-ready joint solutions
• Consumption and integration patterns tied to incentives
• Field delivery kits for PSA + partner sellers
• Hardened reference designs for repeatable pursuits

• Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators.
• Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints.
• Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits
• Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents.
• Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally.

Requirements

What you'll bring.

• Proven executive leadership building partner engineering teams within enterprise software ecosystems
• Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures.
• Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes.
• Ability to translate platform capability into partner-owned architectures that scale across customer estates.
• Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs
• Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies.
• Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions.
• Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration.
• Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders.
• Comfort operating across legal, sales, product, security, presales, and partner delivery functions.
• Willingness to travel globally (>40%).

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team's Social Budget & Company-wide Summer & Winter Parties Tech & Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range is $125.6K – $228K. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team:

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders such as Oracle today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced hardware professionals who can help ensure our high-density compute environment operates at peak performance.

About the Role:

The Data Center Incident Program Manager is responsible for designing, operating, and continuously improving the end-to-end incident management lifecycle across mission-critical data center environments. This role owns the “before, during, and after” mechanics of incidents — establishing standards and playbooks in steady state, serving as (or designating) Incident Commander during active events, and driving structured post-incident review and corrective action to closure.

In this role you will:

• Define and maintain incident severity levels (SEV definitions), classification criteria, and escalation thresholds.

• Establish end-to-end incident response standards: protocols, lifecycle stages (declare → stabilize → mitigate → recover → close), and operating cadence.

• Build and maintain governance artifacts: runbooks, war room formats, reporting templates, and decision/communication standards.

• Create and operationalize notification trees, stakeholder comms templates (initial, periodic updates, recovery/closure), and executive escalation criteria.

• Define clear RACI across Facilities, Hardware Ops, Network, Security, and vendor/partner teams, including handoffs and accountability paths.

• Set and manage SLAs/OLAs for acknowledgment, escalation, containment, mitigation, and reporting.

• Implement and run incident management tooling (ticketing, paging, logging) and ensure integrations with monitoring and workflow systems.

• Establish dashboards and program health metrics to track incident performance and readiness.

• Lead readiness activities: tabletop exercises, cross-functional simulations, IC/Deputy training, and a rotating on-call IC bench with certification standards.

• Serve as Incident Commander as needed: declare severity, stand up the war room, assign functional leads, and drive structured execution under pressure.

• Maintain real-time documentation (decisions, timelines, impact scope) and ensure clear restoration objectives and scope control during active events.

• Run post-incident reviews (PIRs), validate timelines, drive structured RCA (e.g., 5 Whys, Fault Tree), and separate root cause vs contributing factors.

• Define corrective/preventative actions (CAPAs), assign accountable owners, track to verified closure, and escalate overdue actions.

• Publish trend reporting (incident taxonomy, counts by severity, MTTA/MTTR, repeat failure domains) and feed systemic gaps back into design and operations teams.

You might thrive in this role if you:

• 7+ years in mission-critical infrastructure, data center operations, or reliability engineering

• Direct experience leading major incidents (P1/P0 equivalent)

• Strong familiarity with facilities systems, hardware operations, or network infrastructure

• Demonstrated experience running war rooms and executive updates

• Experience conducting root cause analysis and corrective action tracking

• Ability to remain calm and decisive under high-pressure conditions

Preferred Skills:

• Experience in hyperscale or high-density AI compute environments

• Background in facilities commissioning, facility operations, hardware operations, or network reliability

• Familiarity with ISO-based quality systems or structured operational documentation frameworks

• Experience implementing incident tooling (PagerDuty, ServiceNow, Jira, etc.)

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

About the Role

As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage.

In this role, you will:

• Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response.

• Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns.

• Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain.

• Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one.

• Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path).

• Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale.

You might thrive in this role if you:

• Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks.

• Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions.

• Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system.

• Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking).

• Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths.

• Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible.

• Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe.

• Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements.

• Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences.

• Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Additional Information

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of

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This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams.

Responsibilities:

• Help identify data centre capacity opportunities and options through management of network relationships across data centre developer, broker, and power contacts.
• Lead the RFP and commercial sourcing process for specific data centre deals, managing developer outreach, proposal evaluation, and competitive selection processes
• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
• Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organisation, platform engineers, and finance organisation to ensure alignment prior to lease execution
• Act as the single point of contact (SPOC) for auxiliary organisations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status
• Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint
• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms

You may be a good fit if you:

• Have 10+ years of experience in transaction management, commercial real estate, data centre leasing, or infrastructure procurement
• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
• Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners
• Are highly organised with strong attention to detail while maintaining focus on strategic deal objectives
• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
• Have a collaborative mindset and can build trust with diverse stakeholder groups across the organisation

It's a bonus if you:

• Have experience with data centre or hyperscale infrastructure transactions specifically
• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
• Have worked with legal teams on complex lease negotiations or infrastructure agreements
• Possess familiarity with data centre developer ecosystems and market dynamics
• Have experience in high-growth technology companies managing infrastructure expansion
• Understand utility coordination, power procurement, or energy considerations in data centre transactions
• Have a background in corporate development, strategic partnerships, or infrastructure investment

The annual compensation range for this role is $365,000 - $435,000 USD.

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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.

Senior Data Center Capacity Delivery Manager

As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center.

Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness.

This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure.

Responsibilities:

· Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favourable manner.

· You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross-functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment.

· Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment

· Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders

· Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships

· Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimising time-to-production

· Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making

· Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements

· Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint

You may be a good fit if you:

Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross-functional organisations at a jobsite as your team.

Have a strong understanding of the end-to-end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties.

You should understand data center design and construction as a simple and repeatable process that allows you to build and optimise delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a Lego set, we want to talk.

In this role, you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts, you will create your own influence by building relationships at the site and diving in at all phases to deliver success.

You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you.

In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue-collar trades as you are working across executives at development and contractor partners to optimise contract and commercial structures that incentivise delivery speed.

It's a bonus if you:

· Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems

· Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self-performance of hyperscale data center dev

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Compensation

• $125.6K – $228K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem. This team defines and executes our core infrastructure strategy. From site selection through full buildout, we sit at the intersection of commercial, technical, strategy, and operations, partnering closely with internal teams and external stakeholders.

About the Role

We are seeking a Datacenter Hardware Operations Lead focused on hardware and network operations, and logistics, with 15+ years of experience managing complex, mission-critical data center environments. You will oversee and optimize day-to-day hardware physical operations—including material movement, and hardware maintenance—across our expanding global footprint. This role includes designing scalable repair and logistics systems, managing vendors, and ensuring seamless coordination across facilities, supply chain, and engineering. If you thrive in highly complex, fast-paced environments and have a track record of operational excellence at scale, we encourage you to apply.

Key Responsibilities

• Collaborate with internal and external teams to establish the hardware operations strategy, critical metrics and SLAs.

• Lead daily physical operations for data center campuses, from commissioning through ongoing maintenance.

• Design and implement robust logistics systems for material movement, repairs, and operational workflows.

• Collaborate with engineering, construction, supply chain, and operations teams to streamline processes and resolve bottlenecks.

• Develop tools and practices for improved traceability, throughput, and vendor coordination.

• Manage relationships with external partners and ensure alignment with operational goals.

• Apply best practices in logistics and operational planning to support scalable infrastructure growth.

Qualifications

• 15+ years of experience in physical operations and logistics for mission-critical infrastructure and data centers.

• Proven ability to manage complex logistics systems and coordinate across disciplines.

• Deep understanding of operational processes for large-scale facilities including maintenance, construction support, and warehousing.

• Experience leading cross-functional initiatives and working with third-party vendors.

• Bachelor's degree in Engineering, Logistics, Operations Management, or a related field (advanced certifications preferred).

Preferred Skills

• 20+ years of experience managing global-scale data center operations and logistics.

• Expertise in supply chain logistics and systems implementation for hyperscale environments.

• Strong leadership in dynamic, high-pressure settings with evolving technical needs.

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San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $226K – $378K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Hardware Strategic Sourcing & Partnerships organization is responsible for the global supply of compute infrastructure powering OpenAI’s model training and inference. We lead strategy, supplier engagements, commercial architecture, execution, and long-term enablement across advanced systems including custom silicon, accelerators, CPU platforms, networking, memory, power delivery, cooling, and full rack solutions.

We are a small, high-impact team working across engineering, operations, finance, legal, and executive leadership to scale OpenAI’s fleet worldwide.

About the Role

We are seeking a Sr. Strategic Sourcing Manager to own and lead sourcing strategy and global supplier partnerships for the High Speed Interconnects (e.g., power systems, high-speed interconnect, memory subsystems, networking modules, mechanical enclosures, thermal systems, etc.). You will be the single-threaded leader across supplier strategy, selection, negotiations, and commercial/operational execution.

You will be accountable for enabling massive growth, reducing long-term cost curves, securing supply resilience, and aligning supplier technology roadmaps with OpenAI’s future system architecture needs.

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.

Key Responsibilities

1. Own the category end-to-end: strategy, business case, supplier selection, executive alignment, and operational enablement

1. Lead complex commercial negotiations including MSAs, NRE, cost models, open-book pricing, ramp/capacity commitments, and risk-buy frameworks

1. Build and scale a reliable global supply base with redundancy and geopolitical compliance, including mapping and influencing sub-tier suppliers to ensure resilience across the extended supply chain.

1. Translate engineering requirements into actionable sourcing plans with tier-1 manufacturing partners

1. Drive cost benchmarking and teardown insights to shape long-term cost-down strategies

1. Maintain tight alignment with Operations, Capacity Planning, Finance, and Program Management to ensure supply readiness against growth milestones

1. Build executive-level relationships with suppliers to ensure priority allocation and roadmap synchronization

1. Define scalable sourcing processes and dashboards for risk, cost, and performance transparency

1. Mentor and uplift sourcing peers by role-modeling strong cross-functional leadership and commercial excellence

Qualifications

• 8+ years of strategic sourcing or supplier management experience in advanced electronics, cloud infrastructure, telecom, or semiconductor supply chains

• Demonstrated success owning a category and supplier portfolio at scale (supply assurance, commercial strategy, cost roadmap), including leading complex negotiations

• Strong understanding of electronic and module-level cost drivers (e.g., power, PCBAs, connectors, cooling, memory, networking)

• Proven ability to influence and partner with Engineering, Program Management, Legal, and Finance at senior levels

• Executive presence and ability to communicate clearly in high-stakes supplier and leadership forums

• Comfort with fast-paced ambiguity and decisive decision-making in compressed timelines

Preferred Qualifications

• Experience in hyperscale datacenter supply chain environments

• Familiarity with export controls and high-risk country strategies

• Technical background in \[mechanical/electrical engineering, high-speed IO, thermal systems, or rack-scale architecture\]

• Experience building sourcing playbooks, processes, and scalable operational mechanisms

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations

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Datacenter Networking Technician, AI Compute Deployment - Stargate

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Scaling

Compensation

• $86.4K – $228K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team:

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality.

About the Role:

We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments.

Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

In this role you will:

• Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria.

• Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time.

• Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations.

• Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams.

• Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses

• Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning.

You might thrive in this role if you:

• Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation.

• Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices.

• Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues.

• Adapt quickly to changing build conditions and enjoy learning emerging networking technologies.

• Communicate clearly with construction, engineering, and operations teams to drive projects to completion.

• Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects.

Preferred Skills:

• Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation.

• Experience with hyperscale Clos fabrics or large-scale network design.

• Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting.

• Industry certifications such as BICSI, CCNA/CCNP, or equivalent.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we are building a team of talented individuals who share our values and are passionate about making a positive impact on the world.

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San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $226K – $378K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Hardware Strategic Sourcing & Partnerships organization is responsible for the global supply of compute infrastructure powering OpenAI’s model training and inference. We lead strategy, supplier engagements, commercial architecture, execution, and long-term enablement across advanced systems including custom silicon, accelerators, CPU platforms, networking, memory, power delivery, cooling, and full rack solutions.

We are a small, high-impact team working across engineering, operations, finance, legal, and executive leadership to scale OpenAI’s fleet worldwide.

About the Role

We are seeking a Sr. Strategic Sourcing Manager to own and lead sourcing strategy and global supplier partnerships for the Memory Storage & CPUs category (e.g., power systems, high-speed interconnect, memory subsystems, networking modules, mechanical enclosures, thermal systems, etc.). You will be the single-threaded leader across supplier strategy, selection, negotiations, and commercial/operational execution.

You will be accountable for enabling massive growth, reducing long-term cost curves, securing supply resilience, and aligning supplier technology roadmaps with OpenAI’s future system architecture needs.

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.

Key Responsibilities

1. Own the category end-to-end: strategy, business case, supplier selection, executive alignment, and operational enablement

1. Lead complex commercial negotiations including MSAs, NRE, cost models, open-book pricing, ramp/capacity commitments, and risk-buy frameworks

1. Build and scale a reliable global supply base with redundancy and geopolitical compliance, including mapping and influencing sub-tier suppliers to ensure resilience across the extended supply chain.

1. Translate engineering requirements into actionable sourcing plans with tier-1 manufacturing partners

1. Drive cost benchmarking and teardown insights to shape long-term cost-down strategies

1. Maintain tight alignment with Operations, Capacity Planning, Finance, and Program Management to ensure supply readiness against growth milestones

1. Build executive-level relationships with suppliers to ensure priority allocation and roadmap synchronization

1. Define scalable sourcing processes and dashboards for risk, cost, and performance transparency

1. Mentor and uplift sourcing peers by role-modeling strong cross-functional leadership and commercial excellence

Qualifications

• 8+ years of strategic sourcing or supplier management experience in advanced electronics, cloud infrastructure, telecom, or semiconductor supply chains

• Demonstrated success owning a category and supplier portfolio at scale (supply assurance, commercial strategy, cost roadmap), including leading complex negotiations

• Strong understanding of electronic and module-level cost drivers (e.g., power, PCBAs, connectors, cooling, memory, networking)

• Proven ability to influence and partner with Engineering, Program Management, Legal, and Finance at senior levels

• Executive presence and ability to communicate clearly in high-stakes supplier and leadership forums

• Comfort with fast-paced ambiguity and decisive decision-making in compressed timelines

Preferred Qualifications

• Experience in hyperscale datacenter supply chain environments

• Familiarity with export controls and high-risk country strategies

• Technical background in \[mechanical/electrical engineering, high-speed IO, thermal systems, or rack-scale architecture\]

• Experience building sourcing playbooks, processes, and scalable operational mechanisms

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

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Software Engineer, Fleet Infrastructure

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Job Description

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from

• Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems

• Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades

• Supporting research workflows with service frameworks and deployment systems

• Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching

• Much more!

About the Role

As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly.

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.

In this role, you will:

• Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.

• Interface with researchers and product teams to understand workload requirements

• Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service

You might thrive in this role if you:

• Have experience with hyperscale compute systems

• Possess strong programming skills

• Have experience working in public clouds (especially Azure)

• Have experience working in Kubernetes

• Execution focused mentality paired with a rigorous focus on user requirements

• As a bonus, have an understanding of AI/ML workloads

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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