Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

JOB PURPOSE:

Lead in development of problem solving, continuous improvement and associate mentoring/development, in alignment with efficient production, new model introduction, business plan implementation and innovation to achieve or exceed targets that promote associate success.

KEY ACCOUNTABILITIES:

Recommend strategic investments in technology, tools, and processes to support future product lines and production capacity

Continuous development of self, colleagues and team through training and mentoring to proactively improve areas of management expertise for personal and team growth

Identify risks, remove barriers, and maintain alignment across engineering, operations, supply chain, and production teams

Evaluate and assess concerns identified by team to help or guide them to address or correct and resolve issues utilizing PDCA

Define and maintain a multiyear engineering roadmap aligned with business goals and manufacturing requirements

Manage projects for business plan and new model from concept through launch, ensuring on-time and on-budget delivery

Manage required organizational resources (manpower, structure, budget) necessary to achieve operational expectations

Collaborate in the development of Business Plan Strategy and new technologies or model introductions to improve production characteristics and ensure voice of the floor is heard

Ensure engineering work complies with manufacturing standards, regulatory requirements, and internal quality systems

QUALIFICATIONS, EXPERIENCE, & SKILLS:

• Minimum educational qualifications: Bachelor's degree in engineering or engineering technology (e.g., mechanical, electrical, industrial and robotics) or other equivalent relevant work experience.
• Minimum relevant work experience: 8 to 12 or more years experience of based on education
• Other job-specific skills:
• Knowledge and experience with Honda business planning process.
• Expertise within manufacturing department of assignment.
• Background in model development, forecasting, or capacity planning
• Strong presentation skills for communicating forecasts, risks, and strategic recommendations
• Be a pro-active problem-solver who anticipates risks and removes barriers.

Visa sponsorship issues:

This position is not eligible for work visa sponsorship

What differentiates Honda and makes us an employer of choice?

Total Rewards:

Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)

Regional Bonus (when applicable)

Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)

Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)

Paid time off, including vacation, holidays, shutdown

Company Paid Short-Term and Long-Term Disability

401K Plan with company match + additional contribution

Relocation assistance (if eligible)

Career Growth:

Advancement Opportunities

Career Mobility

Education Reimbursement for Continued learning

Training and Development Programs

Additional Offerings:

Lifestyle Account

Childcare Reimbursement Account

Elder Care Support

Tuition Assistance & Student Loan Repayment

Wellbeing Program

Community Service and Engagement Programs

Product Programs

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In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritise across technical and non-technical teams, and focus on securing and delivering compute capacity.

As a key member of our team, you will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.

This role combines technical program management with elements of strategic operations, partnership development, and financial analysis.

Responsibilities:

• Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives

• Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships

• Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones

• Support the structuring and negotiation of strategic compute deals, including financial modelling, term analysis, and vendor evaluation

• Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners

• Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility

• Analyse financial and operational data to inform decision-making on compute capacity planning and vendor strategy

• Provide clear and transparent reporting on program status, issues, and risks to leadership

You might be a good fit if you have:

• 8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies

• Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data centre/infrastructure)

• Background in cloud computing, data centre infrastructure, compute/silicon development, or technology-focused investment banking or consulting

• Familiarity with data centre infrastructure, compute hardware, and/or silicon development cycles

• Comfort with financial analysis and modelling; experience with vendor financing arrangements is a plus

• Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders

• Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution

• A track record of managing cross-functional initiatives in fast-paced, scaling technology environments

• A passion for Anthropic's mission and ensuring safe AI development

Strong candidates may also have:

• Experience managing external partnerships with large-scale cloud providers or hardware vendors

• Understanding of AI/ML infrastructure requirements and compute capacity planning

• Experience with vendor financing, equipment leasing, or infrastructure investment analysis

• Background in technical due diligence or technology M&A

The annual compensation range for this role is $250,000-$310,000 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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You will architect the Capacity Engine, build and maintain a comprehensive capacity model, and mathematically map volume mix, omnichannel routing, offshore capture rates, customer escalations, and more.

You will also model Agent Productivity, transform raw agent-level workforce data into actionable intelligence, compute ticket lifecycle metrics, validate handle time distributions, and build logic to detect outlier behaviors.

Additionally, you will own the Financial Translation, bridge the gap between Operations and Finance, and translate Erlang C FTE requirements into a fully loaded staffing plan.

You will drive BPO Capacity Locks, generate and enforce the 30-60-90 day headcount lock plans for our offshore vendor partners, and hold them accountable to forecasted hiring and shrinkage targets.

You will own the Staffing Plan, compute, align, and project operational rates down to the customer's issue-type level and market segment, and apply seasonality adjustments and project demand across monthly, quarterly, and multi-year horizons.

If you have a deep understanding of capacity planning fundamentals, cross-functional influence, data-backed storytelling, and AI-augmented execution, you'd be a great fit for this role.

The expected base pay range for this position is $124,100 - $146,000, based on a variety of factors including qualifications, experience, and geographic location.

In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

Benefits offered include equity compensation, medical, dental, and vision coverage, HSA/FSA, 401K, work-from-home stipend, therapy reimbursement, 16-week parental leave, carrot fertility annual reimbursement and membership, 13 paid holidays, flexible PTO, employee assistance program, and training and professional development.

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In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritise across technical and non-technical teams, and focus on securing and delivering compute capacity.

Anthropic's AI models are available on both our first-party platforms (claude.ai and our API) as well as through our major cloud partners. Ensuring tight coordination between our internal teams and external partners is essential to our ability to stay on the frontier of AI development.

You will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.

This role combines technical program management with elements of strategic operations, partnership development, and financial analysis. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems.

Responsibilities:

• Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives

• Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships

• Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones

• Support the structuring and negotiation of strategic compute deals, including financial modeling, term analysis, and vendor evaluation

• Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners

• Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility

• Analyze financial and operational data to inform decision-making on compute capacity planning and vendor strategy

• Provide clear and transparent reporting on program status, issues, and risks to leadership

You might be a good fit if you have:

• 8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies

• Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data center/infrastructure)

• Background in cloud computing, data center infrastructure, compute/silicon development, or technology-focused investment banking or consulting

• Familiarity with data center infrastructure, compute hardware, and/or silicon development cycles

• Comfort with financial analysis and modeling; experience with vendor financing arrangements is a plus

• Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders

• Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution

• A track record of managing cross-functional initiatives in fast-paced, scaling technology environments

• A passion for Anthropic's mission and ensuring safe AI development

Strong candidates may also have:

• Experience managing external partnerships with large-scale cloud providers or hardware vendors

• Understanding of AI/ML infrastructure requirements and compute capacity planning

• Experience with vendor financing, equipment leasing, or infrastructure investment analysis

• Background in technical due diligence or technology M&A

The annual compensation range for this role is $250,000-$310,000 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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Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.

You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.

Responsibilities:

• Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
• Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
• Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
• Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
• Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
• Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
• Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity

You may be a good fit if you:

• Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
• Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
• Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
• Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
• Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up
• Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership
• Have a track record of building trust with engineering teams and driving changes through influence rather than authority

Strong candidates may also have:

• Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments
• Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
• Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management
• Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments

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This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic , your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints , orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

Responsibilities:

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions

• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes

• Extend deployment observability , dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"

• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism

• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity

• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement

• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have:

• 5+ years of experience building deployment, release, or delivery infrastructure at scale

• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines

• Experience with deployment systems where resource constraints shape the design , whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows

• A track record of building automation that measurably improves deployment velocity and reliability

• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration

• Comfort working across the stack , from backend services and databases to CLI tools and web UIs

• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have:

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)

• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)

• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback

• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)

• Experience with Python and/or Rust in production systems

The annual compensation range for this role is $320,000-$485,000 USD.

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Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.

You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.

Responsibilities:

• Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
• Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
• Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
• Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
• Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
• Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
• Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity

You may be a good fit if you:

• Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
• Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
• Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
• Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
• Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up
• Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership
• Have a track record of building trust with engineering teams and driving changes through influence rather than authority

Strong candidates may also have:

• Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments
• Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
• Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management
• Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments

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This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.

Responsibilities

• Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
• Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
• Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.
• Partner with marketing leadership and the central Marketing Ops & Strategy team on annual and quarterly planning, resource allocation, and performance reviews.
• Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops & Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.
• Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
• Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
• Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.
• Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.

Requirements

• 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.
• Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.
• Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.
• Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).
• Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.
• Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.
• Strong written and verbal communication, capable of translating complex datasets into clear business narratives.
• Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.

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. Visa sponsorship: We do sponsor visas!

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You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

Responsibilities:

Workforce Planning & Forecasting

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions,identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

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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. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.

In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.

This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.

What You’ll Do

• Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.

• Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.

• Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.

• Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.

• Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.

• Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.

• Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.

• Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.

• Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.

What You’ve Worked On (Minimum Qualifications)

• 7+ years of engineering experience building and operating distributed systems or cloud platforms.

• Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.

• Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.

• Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.

• Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.

• A track record of successfully delivering hands-on reliability improvements through engineering execution.

Preferred Qualifications

• Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.

• Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.

• Background operating or building large-scale AI or GPU-accelerated infrastructure.

• Experience maintaining multi-year ownership of foundational production systems.

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 organization'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. Come join us!

The base salary range for this role is $139,000 to $204,000. 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

• 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

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

XML job scraping automation by YubHub

Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.

About the role:

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

Wondering if you’re a good fit?

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 building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

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 $165,000 to $242,000. 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
• 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
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.

New hires will be invited to attend onboarding at one of our hubs within their first month.

Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.

If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.

Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce's Export Administration Regulations (EAR) and the U.S. Department of State's International Traffic in Arms Regulations (ITAR).

By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.

If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.

XML job scraping automation by YubHub

You'll partner with a small, senior Rust-first team to ship reliable graph capabilities and make them easy for other teams and agents to use. The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.

In this role, you'll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you'll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

Key responsibilities include:

• Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.

• Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.

• Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.

• Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.

• Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.

• Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.

• Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.

• Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.

XML job scraping automation by YubHub

You will partner closely with Development and Site Selection teams to track delivery milestones, forecast phased capacity availability, and communicate changes in timelines across the organization. Your work will directly inform capital planning, compute deployment decisions, and executive-level reporting.

In this role, you will:

• Own portfolio-level capacity planning and forecasting for all active and pipeline data center sites

• Maintain the master capacity timeline, including go-live dates, phased capacity delivery, and readiness milestones

• Track and communicate changes to delivery schedules, capacity timing, and risk across the portfolio

• Partner with Development and Site Selection teams to align site-level progress with portfolio forecasts

• Serve as the authoritative source for capacity availability updates used by Compute Capacity, Finance, Accounting, and Legal teams

• Build and maintain capacity models, dashboards, and reporting packages for leadership and executive stakeholders

• Standardize and catalog site attributes including location, provider, power and cooling characteristics, and delivery phases

• Support Finance and Accounting teams with CapEx planning, budget alignment, and variance analysis

• Translate complex infrastructure data into clear, actionable insights for senior leadership

Who You Are:

• 5+ years experience working in data center, hyperscale infrastructure, colocation, or large-scale cloud environments

• Strong background in capacity planning, forecasting, portfolio planning, or infrastructure operations

• Advanced proficiency in Excel and/or Google Sheets, including complex models and scenario analysis

• Experience building executive-ready reporting and dashboards using tools such as Tableau (or similar BI tools)

• Ability to manage ambiguity and evolving timelines in a fast-growth environment

• Proven ability to work cross-functionally with technical and non-technical stakeholders

• Comfortable presenting data-driven insights to senior and executive audiences

Preferred:

• Experience supporting data center development lifecycles (site selection, design, build, and go-live)

• Familiarity with data center capacity concepts (MW, power density, cooling types, phased delivery)

• Experience with additional analytics or planning tools (e.g., Power BI, Looker, Smartsheet, SQL)

• Background in capital planning or infrastructure investment analysis

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 takeoff, 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 $115,000 to $153,000. The starting salary will be determined by job-related knowledge, skills, experience, and the 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

• 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

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

XML job scraping automation by YubHub

You will have opportunities to work on products like Menace-I, Menace-X, Menace-T, and TITAN, as well as a wide array of future upcoming products. You will be the owner of one of these products in production and you will have the opportunity to drive their production ramps. Your work will help to change the balance of defense capabilities on a global scale.

This role requires a degree in a technical field such as engineering, math, or a hard science, and 5+ years in manufacturing or a similar position. You should have an attitude of world-class mission assurance, quality, attention to detail, and dedication, as well as a genuine interest in manufacturing and a thirst for learning.

XML job scraping automation by YubHub

We are seeking a highly experienced engineer to design, develop, deploy and operate our global backbone infrastructure. This role requires expertise in backbone network hardware and protocols, routing experience, and proficiency in Python scripting.

Responsibilities

• Design, develop, deploy and operate our global backbone infrastructure
• Partner with internal teams on requirements and leverage our own systems for insights
• Automate customer impact mitigations and remove repetitive engineering cycles using Python and Ansible

Requirements

• 10+ years working on backbone network hardware and protocols (MPLS RSVP TE++) in a large/hyper scale environment
• 10+ years of routing experience (BGP, IS-IS) within backbones, peering and transit areas with deep skills in traffic engineering
• 5+ years experience with Python scripting and the ability to automate repetitive tasks for deployments and break/fix
• 5+ years experience managing and troubleshooting cloud VPCs and connected network hardware
• Experience with Juniper, Cisco and Arista hardware
• Experience with AWS, GCP and OCI clouds
• Experience capacity planning on large networks with minimal customer input
• Proven track record in on-call rotations and incident response in high-stakes environments

Benefits

Base salary is just one part of our total rewards package at X, which also includes 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.

Annual Base Salary

$180,000 - $440,000 USD

XML job scraping automation by YubHub

Responsibilities include securing the company's future with your deep understanding of technical aspects of technologies, current market trends, and future capacity exhaustion points. You will partner with multiple teams and companies to bring a cohesive path forward, relentlessly pushing forward and diving into challenges, and leveraging industry partners to deliver at the company's pace.

Basic qualifications include 10+ years in the industry for planning backbone and edge capacity, deep understanding and experience in designing physically diverse global backbones and edge networks, and 5+ years of creating finance models and projections from capacity planning sessions with engineers.

The compensation package includes a base salary of $180,000 - $440,000 USD, 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.

XML job scraping automation by YubHub

You will work closely with Compute Finance, Infrastructure Engineers, and Product to translate raw cloud billing data into actionable efficiency insights and influence capacity planning & allocation. You will help build deep visibility into our infrastructure spend, forecast capacity needs, attribute costs accurately across teams and workloads, model resource demand curves, and help identify efficiency opportunities across our fleet.

Responsibilities:

• Build and maintain cloud cost attribution models that accurately allocate infrastructure spend (compute, accelerators, storage, networking, data transfer) across teams, products, and workloads, providing clear visibility into who is spending what and why.
• Partner with infrastructure, finance, and procurement stakeholders to analyze utilization patterns, identify inefficiencies, and drive optimization initiatives that improve the cost-effectiveness of our non-accelerator cloud resources.
• Develop forecasting models for non-accelerator infrastructure demand, incorporating business growth projections, product roadmaps, and historical spend trends to enable proactive capacity planning and budget accuracy.
• Define and track unit cost metrics (e.g., cost per request, cost per GB stored, cost per pipeline run) and identify opportunities to reduce them, influencing infrastructure and engineering roadmaps with data-driven recommendations.
• Develop unit cost economics for various workloads and applications, and using the metrics to drive efficiency efforts across product and infrastructure teams.
• Build a cost-aware culture across the organization by creating self-serve dashboards, automated reporting, and accessible datasets that give engineering and finance teams clear visibility into cloud spend and efficiency metrics.

Requirements:

• 6+ years of experience in data science, analytics, or FinOps roles, with a focus on cloud infrastructure cost analysis, capacity planning, or efficiency optimization.
• Experience building spend forecasting models and large-scale cost attribution systems.
• Deep knowledge of cloud billing systems, cost allocation methodologies, and spend optimization levers (e.g., reserved instances, committed use discounts, rightsizing, spot/preemptible usage).
• Expertise in Python, SQL, forecasting, data modeling and data visualization tools.
• Strong communication and presentation skills.

Benefits:

• Competitive compensation and benefits package.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in San Francisco.

XML job scraping automation by YubHub

As an Engineering Manager, you will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe.

Responsibilities:

• Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.
• Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving
• Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes
• Create clarity for the team and stakeholders in an ambiguous and evolving environment
• Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team
• Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

Requirements:

• 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management
• 5+ years of engineering management experience
• Experience recruiting, scaling, and retaining engineering talent in a high growth environment
• Have experience scaling products, resources and operations to accommodate rapid growth
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales
• Have experience working with external partners to align goals and deliver impact
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
• Have excellent written and verbal communication skills
• Demonstrated success building a culture of belonging and engineering excellence
• Are motivated by developing AI responsibly and safely
• Are willing and able to travel frequently between Seattle and the SF Bay Area

Strong candidates may also have experience with:

• Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
• Experience as a Product Manager
• Experience with deployment and capacity management automation
• Security and privacy best practice expertise

Annual compensation range for this role is $405,000-$485,000 USD.

XML job scraping automation by YubHub

This role translates customer orders and contracts, production capacity, and material availability into executable production plans, ensuring schedules are followed and adjusted as needed.

The Production Planner works closely with cross-functional teams including operations, supply chain & procurement, engineering, finance, and customer stakeholders to translate customer orders and forecasts into actionable production schedules.

Responsibilities:

• Develop, maintain, and optimize production schedules based on customer demand, forecast inputs, material availability, and production capacity

• Translate sales orders and forecasts into executable work orders within ERP/MRP systems

• Monitor production progress and adjust schedules to address constraints, delays, or changing priorities

• Coordinate with operations to ensure alignment between planned and actual production activities

• Communicate production schedule status, order progress, and potential risks or delays to internal stakeholders, and support coordination with external stakeholders as needed.

• Utilize ERP/MRP systems (e.g., NetSuite, SAP) to manage work orders, track inventory levels, and maintain accurate production data

• Ensure data integrity within planning systems, including bills of materials (BOMs), routings, and lead times

• Support system improvements and enhancements to increase planning efficiency and visibility.

• Collaborate with procurement to ensure timely availability of materials required for production

• Interface with engineering and quality teams to incorporate design changes, process updates, and compliance requirements into production plans

• Communicate production schedules, risks, and changes to stakeholders across the organization

• Track key performance indicators (KPIs) such as on-time delivery, schedule adherence, inventory levels, and capacity utilization

• Analyze production data to identify bottlenecks, inefficiencies, and opportunities for improvement

• Support continuous improvement initiatives related to planning processes, system utilization, and operational performance

• Assist in capacity planning, scenario analysis, and long-range production planning efforts

• Support audits, reporting, and documentation requirements related to production and inventory management

• Ensure compliance with company policies, safety standards, and applicable regulatory requirements

SKILLS & QUALIFICATIONS:

• Bachelor’s degree in Supply Chain Management, Operations Management, Engineering, Business Administration, or a related field; equivalent combination of education and relevant experience will be considered
• Experience in production planning, scheduling, supply chain, or manufacturing operations within an industrial or manufacturing environment
• Demonstrated experience working with ERP/MRP systems (e.g., NetSuite, SAP, Oracle) for order management, production scheduling, and inventory control
• Strong analytical skills with the ability to interpret data, identify constraints, and develop actionable production plans
• Proficiency in Microsoft Office applications, particularly Excel (advanced functions, data analysis, and reporting)
• Ability to communicate effectively across cross-functional teams and support decision-making through data-driven insights
• Experience with data analysis and visualization tools (e.g., Power BI, Tableau) is preferred
• Familiarity with production scheduling, capacity planning, inventory management, and continuous improvement methodologies is preferred

Benefits:

• Health, Dental & Vision Insurance
• Health Savings Account
• Disability and Life Insurance
• 401K Plan
• Paid Time Off, Holidays

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Work is mostly performed in a normal office setting with minimal exposure to health or safety hazards, and with substantial time spent working on a computer. Requires sufficient hand, arm, and finger dexterity to operate computer keyboard and other office equipment. The performance of this position may occasionally require exposure to manufacturing areas which require the use of personal protective equipment such as safety glasses

XML job scraping automation by YubHub

About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. KoBold Metals builds AI models for mineral exploration and deploys those models,alongside our novel sensors,to guide decisions on KoBold-owned-and-operated exploration programs.

About The Role: In this role, you will partner with exploration and engineering teams to build reliable, scalable infrastructure that makes it easier to turn data and models into real-world exploration insights. You will improve observability, streamline MLOps workflows, and maintain shared tools like JupyterHub that enable faster experimentation and collaboration. Your work will help create a solid foundation for scientists and engineers to focus on discovery instead of infrastructure.

Responsibilities

• Design, build, and operate compute infrastructure that is both scalable and reliable to support critical services.
• Work closely with engineering teams to embed observability, reliability, and security throughout the software development process.
• Create and maintain automation for monitoring, deployments, and incident response to keep operations efficient and predictable.
• Lead or support capacity planning, performance reviews, and system tuning to ensure stable and efficient systems.
• Join the on-call rotation and take part in incident response, troubleshooting, and resolution.
• Develop and refine monitoring and alerting to catch issues early and reduce downtime.
• Establish and maintain disaster recovery and business continuity practices that protect the organization against failures.
• Regularly review and improve our tools and processes to strengthen system visibility and reliability.
• Investigate points of fragility in distributed systems and understand how complex systems behave under stress in order to improve resilience.
• Continually learn about mineral exploration through reading, discussions with exploration team members, periodic rotation on an exploration team and time in the field with geologists

Qualifications

• 5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer or in a similar role
• Strong scripting and programming skills (Python, Go, Java or JavaScript/ Node.js )
• Experience with IaC tools like Terraform and container orchestration tools like Kubernetes and Docker
• Experience with cloud platforms such as AWS
• Experience operating or administering JupyterHub in a multi-user environment
• Understanding of MLOps workflows, including model training, deployment, and related tooling
• Excellent communication & collaboration skills and a continuous improvement mindset
• Proven ability to troubleshoot complex issues and implement effective solutions
• Proven ability to thrive in dynamic and evolving environments, effectively navigating uncertainty and incomplete information.
• Proven ability to grow expertise, influence & educate others
• Comfortable making informed decisions with limited data, adapting quickly to new circumstances, and maintaining focus on strategic objectives while driving clarity for the team.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Ability to explain technical problems to and collaborate on solutions with domain experts who are not infrastructure engineers. A strong communicator who enjoys working with colleagues across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.

XML job scraping automation by YubHub

Privy is a developer tooling company that empowers users to take control of their online presence. We're looking for an experienced Engineering Manager to lead and grow a team of Infrastructure engineers.

Responsibilities

• Lead and grow a high-performing team of Infrastructure engineers
• Drive the future vision of infrastructure alongside talented infrastructure engineers
• Hold the team accountable to excellence in quality, throughput, and performance
• Ensure the team is working on the right scope of work and projects, align decisions with business impact
• Fill gaps as a player-coach; review PRs, write and review design docs, investigate incidents
• Coach engineers towards growth and their career goals

Benefits

• Competitive salary and benefits package
• Opportunity to work with a talented team of engineers
• Collaborative and dynamic work environment

Requirements

• Deep ownership and a high-level perspective on driving overall business impact
• Performance-oriented mindset, with a high bar for quality and excellence
• Technical excellence to be able to independently evaluate quality and technical feedback
• High emotional maturity, insightfulness, and care
• Strong past experience as a manager and leader

Preferred Qualifications

• Experience with designing and operating systems supporting hundreds of millions of users
• Secure enclave platforms, like AWS Nitro Enclaves
• Observability, incident response, capacity planning, performance tuning, and infrastructure automation (IaC, CI/CD for infra)
• Background in building low-latency, high-throughput systems for trading or payment processing
• Any blend of public cloud/BYOC architectures

XML job scraping automation by YubHub

This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers.

We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We're looking for an Engineering Manager, Datastores to lead the team responsible for the reliability, scalability, and evolution of Webflow’s core production databases , primarily MongoDB and PostgreSQL. This team operates at the heart of our application and hosting stack, enabling product teams to ship confidently while maintaining high standards of performance, durability, security, and data residency.

Webflow’s product and hosting platform operates at a significant scale. The Datastores team sits at a critical boundary between application velocity and system durability. This is a high-leverage leadership role at the core of Webflow’s infrastructure strategy.

About the role:

• Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production.
• Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency.
• Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform).
• Partner with Product Engineering to guide new access patterns, review high-impact launches for database risk, and establish guardrails that enable velocity without compromising reliability.
• Improve reliability through proactive failure-mode detection, clear SLOs, actionable alerting, and high-quality incident response and retrospectives.
• Build self-service tooling and paved roads for migrations, connection management, indexing, and query best practices.
• Mentor and grow senior and staff engineers while contributing to broader infrastructure strategy across AWS, Kubernetes, and stateful systems architecture.

About you:

• BS / BA college degree or relevant experience
• Business-level fluency to read, write and speak in English
• 2+ years of experience leading high-performing engineering teams.
• 6+ years of hands-on experience operating and scaling production databases (MongoDB and/or PostgreSQL preferred).
• Experience running business-critical, high-throughput systems with strong availability and durability requirements.

You’ll thrive in this role if you:

• Bring deep expertise in operating and scaling production databases (e.g., replication, failover, indexing, query planning, migrations) and have led teams supporting stateful, multi-region systems with strict uptime requirements.
• Balance strong architectural judgment with pragmatism , evolving our datastore strategy while enabling product teams to ship quickly and safely.
• Think in terms of SLOs, capacity models, and long-term architectural trade-offs, with hands-on experience in infrastructure as code (Pulumi/Terraform), Kubernetes, and AWS.
• Bring strong systems-level thinking to performance and reliability, identifying root causes across application, database, and infrastructure layers and building preventative solutions.
• Lead calmly through high-severity incidents, drive blameless postmortems and systemic improvements, and build strong cross-functional relationships grounded in craftsmanship and continuous improvement.
• Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Our Core Behaviors:

• Build lasting customer trust.
• Win together.
• Reinvent ourselves.
• Deliver with speed, quality, and craft.

Benefits:

• Ownership in what you help build.
• Health coverage that actually covers you.
• Support for every stage of family life.
• Time off that’s actually off.
• Wellness for the whole you.
• Invest in your future.
• Monthly stipends that flex with your life.
• Bonus for building together.

Be you, with us:

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

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Responsibilities:

• Lead the Bangalore Fraud Operations Centre, managing team leads and senior associates
• Own core fraud investigations and complex investigations, including escalations and time-sensitive incident response in partnership with global Fraud/Risk stakeholders
• Establish and run the operating system for the org: goal setting, team cadences, SOPs, change management, queue health, SLAs, QA programs, calibration, and readiness for new products/markets
• Define, develop, and represent key operational and risk metrics for the Bangalore centre (through dashboards and recurring readouts), translating data into actions and priorities
• Drive process development and continuous improvement: root cause analysis, defect reduction, policy adherence, and consistency across reviewers and teams
• Partner with other Risk teams to evolve fraud tooling and workflows (manual and automated actioning), including safe rollout and measurement of changes
• Support outsourcing relevant workflows: identify transition candidates, design/standardize processes for hand off, and support training as needed
• Own staffing models, capacity planning, scheduling, hiring plans, onboarding, and training strategy to meet business needs while maintaining a high bar for quality and user experience
• Maintain close “floor” engagement: regularly dive into cases, review decisions, support frontline judgment, and ensure feedback loops translate into measurable improvements
• Partner with recruiting to define role profiles and interview loops, drive bar-raising hiring decisions, and build a diverse team
• Own career development and succession planning, team health and engagement
• Build a great culture, a destination workplace, fostering our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment

You are an operations leader who can scale fraud investigation and review programs while staying close to the details. You are fluent in running high-performing teams through clear metrics and operating cadence, and you can partner cross-functionally to evolve tooling and processes. You bring sound judgment, calm execution under pressure, and a bias toward data-backed solutions and measurable improvements in both fraud outcomes and user experience.

Minimum requirements:

• Experience leading cross-functional initiatives and driving change through ambiguity, including new workflows for new products, markets, or emerging fraud patterns
• Experience leading fraud, risk, trust & safety, or investigations operations in a high-scale environment, including managing managers/team leads
• Ability to partner effectively with internal globally distributed stakeholders and comfortable leading internal teams and vendors
• Proven ability to define and operationalize metrics (e.g., accuracy/quality, SLAs, throughput, loss outcomes, appeals/rework, user friction) and use data to drive priorities
• Comfort working across detection systems and manual/automated actioning systems; ability to translate operational needs into product/engineering requirements
• Strong operational background including new process launches, service delivery and strong at building operating models
• Excellent written and verbal communication skills, including presenting in operational reviews and representing the team in high-pressure escalations in English
• Skill and credibility doing the core work of a user-facing team with a high bar for quality, and a willingness to lead by example
• At least 7+ years of direct people management experience; this includes handling performance management and proactively coach/mentor individuals
• Experience with payments, risk, compliance, or financial industry operations

Preferred qualifications:

• Demonstrated ability to run an operations centre: capacity planning, scheduling, queue management, performance management, and quality programs
• Strong fraud domain depth across investigation workflows, risk vectors, and decision frameworks; able to independently review cases and guide frontline judgment
• Experience scaling or transforming fraud review operations through process redesign, tooling improvements, and/or vendor partnerships
• Experience with payments risk (CNP/card testing, ATO, merchant fraud, transaction fraud) and familiarity with how upstream detection and downstream enforcement interact
• Strong analytics proficiency (building/owning dashboards; querying data directly) and comfort partnering deeply with data science/engineering
• Experience operating in a global, follow-the-sun model and partnering across time zones

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We are seeking a motivated and detail-oriented Senior Alliances Operations Analyst to join our global Alliances Operations team. This is the perfect role for a proactive individual who wants to make a tangible impact, contribute ideas, and grow their skills in a supportive, high-energy environment.

What you'll be doing

As a vital contributor to our partner ecosystem, you will be responsible for the following:

Partner Lifecycle Management

Serve as the primary point of contact for our delivery partners, building strong relationships and proactively addressing queries. Oversee the entire partner journey, from onboarding and training to offboarding, ensuring a smooth and positive experience.

Operational Excellence

Collaborate with the Alliances Operations Lead to identify, implement, and document new processes to establish and share best practices globally. Enforce data standards to ensure the accuracy and reliability of all partner-related data.

Resource & Commercial Alignment

Monitor the sales pipeline to forecast partner resource needs, ensuring alignment between sales and delivery teams. Manage the deployment of partner resources to meet project demands and skill requirements. Collaborate with commercial and legal teams to support the negotiation and finalization of partner contracts and rate cards.

Analysis & Reporting

Analyse partner data to create clear, insightful reports that help leadership make informed decisions. Track and manage partner-related budgets, contract renewals, and invoice approvals.

Cross-Functional Collaboration

Work closely with internal Alliances, Delivery, Finance, and Operations teams to ensure information flows smoothly. Advise partners on team development, including training and resourcing requirements, to build a center of excellence.

Requirements

• Proven experience in Alliances Operations, Partner Management, or a similar operational role, ideally within a technology or consulting environment.
• Data Analysis & Reporting: Good working knowledge of BI tools (e.g., Power BI) to create and maintain reports.
• Resource & Capacity Planning: Direct experience with resource and capacity planning for service delivery.
• Commercial Awareness: Familiarity with contract lifecycle management, including supporting the drafting and negotiation of rate cards.
• Systems: Experience with Professional Services Automation (PSA) tools (like Kantata) or CRM platforms (like Salesforce) is highly preferred.
• A natural and transparent communicator who builds trust.
• A proactive, confident self-starter with a solution-driven approach.
• Highly organised with a strong attention to detail.
• A collaborative team player who actively works to connect people and information.
• Enthusiasm for learning new tools and methodologies.

Benefits

At Q, we help you realise your full potential, thrive in your role, and enjoy what you do — all while being recognised and rewarded with a wide range of benefits.

• Competitive salary & company bonus
• Private healthcare, life insurance & income protection
• CycleScheme & TechScheme
• Free Calm app subscription (#1 app for meditation, relaxation & sleep)
• Pension scheme with 6% company contribution (when you contribute 3%)
• 25 days annual leave (plus the option to buy up to 5 extra days) + your birthday off!
• Ongoing personal development opportunities
• WeWork office space & company-wide socials

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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.

Microsoft Superintelligence Team Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Responsibilities Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.

Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.

Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.

Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.

Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.

Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.

Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

Qualifications Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional or Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.

Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.

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As a member of the Compute team, you will play a critical role in Anthropic's mission of building safe and beneficial AI by ensuring we understand, optimize, and strategically manage our cloud infrastructure spend. Your work will directly impact how efficiently we operate our multi-cloud and datacenter footprint, from forecasting infrastructure needs and planning capacity, to driving utilization improvements and reducing unit costs across our compute, storage, and networking resources.

You will work closely with Compute Finance, Infrastructure Engineers, and Product to translate raw cloud billing data into actionable efficiency insights and influence capacity planning & allocation. You will help build deep visibility into our infrastructure spend, forecast capacity needs, attribute costs accurately across teams and workloads, model resource demand curves, and help identify efficiency opportunities across our fleet.

Responsibilities:

• Build and maintain cloud cost attribution models that accurately allocate infrastructure spend (compute, accelerators, storage, networking, data transfer) across teams, products, and workloads, providing clear visibility into who is spending what and why.

• Build and maintain cost of revenue pipelines and models

• Partner with infrastructure, finance, and procurement stakeholders to analyse utilization patterns, identify inefficiencies, and drive optimization initiatives that improve the cost-effectiveness of our non-accelerator cloud resources.

• Develop forecasting models for non-accelerator infrastructure demand, incorporating business growth projections, product roadmaps, and historical spend trends to enable proactive capacity planning and budget accuracy.

• Define and track unit cost metrics (e.g., cost per request, cost per GB stored, cost per pipeline run) and identify opportunities to reduce them, influencing infrastructure and engineering roadmaps with data-driven recommendations.

• Develop unit cost economics for various workloads and applications, and using the metrics to drive efficiency efforts across product and infrastructure teams.

• Build a cost-aware culture across the organisation by creating self-serve dashboards, automated reporting, and accessible datasets that give engineering and finance teams clear visibility into cloud spend and efficiency metrics.

You might be a good fit if you have:

• 6+ years of experience in data science, analytics, or FinOps roles, with a focus on cloud infrastructure cost analysis, capacity planning, or efficiency optimisation.

• Experience building spend forecasting models and large-scale cost attribution systems.

• Deep knowledge of cloud billing systems, cost allocation methodologies, and spend optimisation levers (e.g., reserved instances, committed use discounts, rightsizing, spot/preemptible usage).

• A passion for the company's mission of building helpful, honest, and harmless AI.

• Expertise in Python, SQL, forecasting, data modelling and data visualisation tools.

• A bias for action and urgency, not letting perfect be the enemy of the effective.

• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

• A deep curiosity and energy for pulling the thread on hard questions.

• Experience in turning open questions and data into concise and insightful analysis.

• Highly effective written communication and presentation skills.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

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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.

About the Role

Our mandate is to make inference deployment boring and unattended.

Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We're building the systems that make inference deployment continuous and unattended.

As a Software Engineer on the Launch Engineering team, you'll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

If you've built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.

Responsibilities

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions
• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes
• Extend deployment observability — dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"
• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism
• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement
• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines
• Experience with deployment systems where resource constraints shape the design — whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows
• A track record of building automation that measurably improves deployment velocity and reliability
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Comfort working across the stack — from backend services and databases to CLI tools and web UIs
• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)
• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback
• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)
• Experience with Python and/or Rust in production systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

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You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

This is a high-ambiguity role where you'll often be building from scratch. We're looking for someone who can create structure where none exists, ask the right questions to scope problems, and translate messy data into narratives that drive action.

Responsibilities:

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting:

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions—identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership:

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

You might be a good fit if you:

• Have 4+ years of experience in workforce management, support operations analytics, business analytics, or similar roles—ideally in a support or customer success context
• Are deeply analytical with strong SQL skills and experience with data warehouses (e.g., BigQuery) and analysis tools like Hex, Looker, or similar
• Have hands-on experience with forecasting and capacity planning, including modelling staffing needs against service level targets
• Are comfortable working with ambiguity—you can take a vague question, scope it into an answerable problem, and deliver insights that drive decisions
• Understand support operations metrics (SLAs, handle time, CSAT, deflection rates) and can connect them to business impact
• Have experience working with BPO or vendor partners on staffing, performance, and capacity alignment
• Communicate clearly—you can translate technical analysis into narratives that resonate with both operational teams and executives
• Are curious about AI and excited to work in an environment where the product and support landscape evolve rapidly
• Thrive in fast-paced environments and can balance building foundational infrastructure with responding to urgent business questions
• Have experience with workforce management platforms (e.g., Assembled, NICE, Calabrio) is a plus, but not required

The annual compensation range for this role is $131,040 - $165,000 USD.

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San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

IT

Compensation

• $162K – $240K • 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 Role:

The Program Manager, Capital Infrastructure Builds bridges the gap between Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for new office buildout / remodel projects and industrial facilities (labs, manufacturing, secured facilities, datacenters/POPs). This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security systems and related IT scopes of work.

In this role, you will:

• Cross-functional coordination between internal teams, construction and related trades and other vendors/service providers.

• Manage the design, bid, implementation, commissioning and handover process for ISP connectivity, low voltage cabling and network infrastructure (MDF/IDF, MPOEs, inside/outside cabling plant, etc.).

• Manage the design, bid, implementation, commissioning and handover process for audio-visual/video-conference systems (digital signage, wayfinding systems, conference rooms, training rooms and all hands spaces).

• Partner with the Corporate Security team to implement supporting infrastructure and network integration for access control, surveillance systems and intrusion detection.

• Manage project schedules, status updates, executive communications for the builds portfolio.

• Develop drawing packages and specification narratives in support of project design and execution.

• Manage procurement and provide guidance to FP&A on budget and cost management.

• Identify, categorize, mitigate and monitor project delivery risks.

You might thrive in this role if you have:

• Strong project and program management capabilities.

• Strong knowledge of the architectural design process (schematic design, design development, construction documents).

• Strong knowledge of commercial real estate construction processes.

• Excellent written and verbal communication skills.

• Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover).

• Understanding of mechanical power, cooling systems and capacity planning.

• Ability to read construction and engineering plan drawings.

• PMP or equivalent project management certification.

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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Support Partner Manager

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $234K – $260K • 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 Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI.

About the Role

As a Support Partner Manager (Vendor Manager), you will own the health, performance, and long-term scalability of multiple support partner and vendor relationships. This is a vendor leadership role first and foremost: you will drive commercial and operational accountability (SLAs, QBRs, escalation paths, remediation plans), while also building the operating model that enables support to scale without linear headcount growth.

A core component of this role (approximately 25–30%) is establishing how we do Workforce Management (WFM) across both internal teams and external BPO partners. This is not an intraday scheduling or WFM analyst role. Instead, you will define the frameworks, standards, and systems for forecasting, capacity planning, staffing strategy, and performance-to-plan—then partner with Operations, Data, Systems/Tooling, and vendor leaders to implement and run them.

You’ll collaborate closely with User Operations teams (e.g., Trust & Safety, Fraud & Risk), Systems/Tooling, Data partners, and Product/PM stakeholders as we launch new workflow and launch and scale new programs.

In this role you will drive:

• End-to-end vendor leadership: Own day-to-day oversight, relationship health, and executive-level accountability for multiple support vendors/BPOs.

• Performance management & remediation: Define and manage SLA/KPI performance expectations, run WBRs/QBRs, identify performance gaps, and drive structured turnaround plans with clear owners and timelines.

• Escalation and risk management: Serve as the primary escalation point for vendor issues, including incident response, surge events, quality regressions, and continuity risks; ensure vendors have strong operational controls and playbooks.

• Commercial and operational governance: Partner on contract levers, staffing commitments, service scope changes, and operational cadences; ensure governance mechanisms produce measurable outcomes.

• Workforce Management (WFM) operating model design (25 - 30%):

• Establish the WFM approach across internal and BPO teams (forecasting, capacity planning, staffing assumptions, coverage standards).

• Stand up a consistent planning cadence tied to business drivers (weekly/monthly/quarterly) and ensure partners operate to it.

• Operational reporting and executive narratives: Produce clear, decision-ready reporting on vendor health, capacity risk, and scaling constraints; translate operational signals into recommendations for leadership.

You might thrive in this role if you have:

• 5+ years in vendor/BPO operations management, support operations, or partner performance leadership in a scaled environment.

• Proven ability to run vendor governance: QBRs, SLA/KPI design, escalation paths, remediation plans, and cross-functional stakeholder management.

• Awareness of and some experience with workforce planning approaches—e.g., forecasting frameworks, capacity models, staffing strategies, and performance-to-plan systems. across global, multi-site support operations.

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Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Research

Compensation

• $226K – $285K • 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

Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.

About the Role

As a Supply Chain Manager, Material & Partner Management on the Robotics team, you will own the operational and business relationships that enable our manufacturing partners and critical suppliers to execute reliably across development builds and production ramps. You will serve as the primary interface to partners, guiding capacity planning, materials readiness, and delivery commitments to ensure builds can happen on schedule.

Responsibilities

• Partner Management & Operating Cadence

• Own end-to-end relationships with key manufacturing partners (CM/JDM/ODM) and critical suppliers, spanning executive alignment through regular operational execution

• Run joint business operation cadences: planning and capacity reviews, materials readiness checks, and QBRs, with clear owners, actions, and follow-through

• Serve as the business partner interface across Engineering, Quality, and Technical Ops to keep execution aligned and unblocked

• Build Planning & Material Readiness

• Drive build planning and materials readiness with partners by confirming capacity, long-lead coverage, promise dates, and readiness gates for program ramp

• Own partner-side material pipelining and readiness visibility, surfacing risks early and driving mitigation plans

• Performance Management, Escalations, and Issue Resolution

• Manage partner performance using scorecards and readiness metrics (delivery, quality, responsiveness, readiness health) and lead corrective actions when performance falls below bar

• Lead cross-functional escalation and issue resolution for build blockers (shortages, late parts, quality escapes), coordinating Engineering, Quality, and Technical Ops

• Drive durable closure on recurring issues by tightening processes, owners, and partner accountability mechanisms

• Build continuous improvement programs with partners to increase yield, reliability, documentation quality, and repeatable processes

• Commercial Ownership: SOWs, Contracts, and Business Operations

• Own the business relationship with major partners, including commercial alignment and ongoing operational management

• Develop Statements of Work (SOWs) and drive contract development and review in partnership with Legal

• Oversee partner business operations such as contracts, payments, and commercial commitments, ensuring alignment to build execution and materials readiness

You might thrive in this role if you:

• Have owned execution with CM/JDM/ODM partners and can drive materials readiness against build plans and ramps

• Are great at running partner cadences (readiness reviews, issue triage, QBRs) with clear owners and follow-through

• Can assess build schedules + receiving ladders, make a confident on-time call, and

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Location

San Francisco

Employment Type

Full time

Department

Programs

Compensation

• $279K – $400K • 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 Executive Business Operations Program Manager will design, unify, and scale the Executive Business Partner (EBP) function at OpenAI to drive operational excellence while preserving the flexibility required for executive-specific support models. Acting as a strategic partner to leadership, this role bridges vision and execution through strong systems thinking, operational rigor, and emotional intelligence.

About the Role

This role enables the EBP community through a matrix operating model, where EBPs remain embedded with their executive stakeholders and functional leadership while operating against shared, organization-wide expectations. The Executive Business Operations Program Manager drives cross-functional alignment by establishing common standards, operating rhythms, and pragmatic governance that create clarity, consistency, and measurable impact across teams. The model preserves executive autonomy and functional ownership while improving coordination, prioritization, and execution at scale.

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 and implement scalable systems, processes, and tools that improve clarity, efficiency, and consistency across the EBP function.

• Develop playbooks, documentation, and training materials to codify best practices and judgment standards.

• Establish operating cadences, governance forums, and escalation pathways to manage priorities and tradeoffs effectively.

• Serve as a trusted partner to leadership, translating strategic priorities into actionable and executable plans.

• Partner with the Organizational Lead on executive operations budgeting, headcount planning, and resource allocation.

• Lead capacity planning and workload balancing across EBPs to ensure sustainable coverage and responsiveness.

• Surface structural gaps, friction points, and opportunities for improvement within the executive support model.

• Provide data-driven insights that inform decision-making and assess the effectiveness of executive operations.

• Define success metrics and key performance indicators for executive support effectiveness.

• Drive continuous improvement through retrospectives, stakeholder feedback, and performance insights.

• Ensure support models scale appropriately as the organization grows and evolves

• Coach and develop EBPs through a structured leadership model that strengthens execution quality, judgment, and stakeholder effectiveness.

• Provide formal performance input to managers and executive stakeholders to support fair, consistent evaluation and growth.

• Lead and develop training for EBP team.

• Develop a plan for succession planning to strengthen the long-term health of the EBP function.

• Establish clear expectations for professional growth, career pathways, and standards of excellence.

• Foster a culture of trust, transparency, and high performance across executive operations.

• Model discretion, sound judgment, and proactive communication in high-stakes and sensitive situations.

You might thrive in this role if you have:

• Provided leadership for Executive Business Partners (EBPs) across the organization.

• Established clear role expectations, operating norms, and standards of excellence across executive support.

• Maintained a federated model in which EBPs remain embedded with their executives, while benefiting from shared frameworks and oversight.

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

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We are seeking a Supply Chain Operations Program Manager to serve as the single-threaded operational leader for new hardware introductions (NPI) and production ramps across OpenAI's AI infrastructure systems.

About the Team

OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models.

About the Role

This role combines hands-on execution with strategic ownership. You will be responsible for defining the operating model, aligning cross-functional stakeholders, setting the critical path, making informed tradeoffs, escalating decisively, and ensuring hardware programs deliver on schedule, quality, cost, and scalability.

Responsibilities

Strategic & Leadership Ownership

• Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production
• Translate OpenAI's infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks
• Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations
• Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets
• Influence operational strategy with manufacturing partners by setting expectations on execution rigor, accountability, and continuous improvement

Program Execution & Operational Excellence

• Drive overall NPI build readiness, including material accountability, manufacturing and test readiness, product data availability, factory infrastructure, and qualification plans
• Lead transition activities from NPI to mass production, partnering closely with Sustaining Operations teams to ensure seamless ownership transfer
• Translate engineering requirements into actionable, factory-ready plans with tier-1 manufacturing and integration partners
• Lead cross-functional build and debug cadences; ensure issues are clearly owned, aggressively driven, and formally closed with root cause and prevention
• Drive factory and deployment ramp readiness, including throughput, site readiness, yield targets, quality controls, and reliability gates
• Own end-to-end risk management—identification, mitigation planning, escalation, and executive-level communication
• Surface systemic bottlenecks, inefficiencies, or failure modes; propose and implement durable solutions across process, tooling, and organizational interfaces
• Build, formalize, and scale repeatable operating mechanisms that enable predictable, high-velocity hardware development

Systems, Process & Partner Leadership

• Define requirements for operational systems (e.g., PLM enablement), and partner with internal teams to implement, test, and operationalize them
• Establish clear scopes, roles, and responsibilities across internal teams and external partners to ensure clean execution boundaries
• Build strong, trust-based relationships with contract manufacturers, OEMs, and integrators—driving accountability, performance, and transparency

What You'll Get

• Competitive salary: $177K – $285K
• Offers Equity
• 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.

How to Apply

If you're passionate about leading the development of cutting-edge AI hardware and are looking for a challenging and rewarding role, please submit your application, including your resume and a cover letter, to [insert contact information].

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We take care of all aspects of database planning, implementation, and maintenance. We perform physical database implementation, including index tuning, storage management and partitioning, and scoping and integration of new datacenter hardware. We monitor, tune, and refactor database and server performance. We collaborate to implement database-related features, including data modeling, procedural code design, query tuning, and performance management. We design and implement schemes for data security, system availability, and disaster recovery, including backup, log shipping, mirroring and Always On.

We also recruit database specialists like you. Do you prefer to collaborate with peers to define the work that you pursue? Valve's work environment is unique in that we rely on employees to be self-motivated, accountable, and able to recognize where to focus energy. If you're seeking an opportunity to improve upon processes and systems while continuing to call upon your database administration skills, consider joining Valve.

Database administrators at Valve have significant industry experience related to database design, implementation, and maintenance. Typical skills include:

• Expertise with relational database management systems such as Microsoft SQL Server.
• Database administration experience in large-scale high-availability environments.
• Task automation and configuration management with languages such as PowerShell, Python, etc.
• Design and management of disk storage systems
• Capacity planning and system integration
• Networking systems

What We Offer

• An organization where 100% of time is dedicated as groups see fit
• The opportunity to collaborate with experts across a range of disciplines
• A work environment and flexible schedule in support of families and domestic partnerships
• A culture eager to become stronger through diversity of all forms
• Exceptional health insurance coverage
• Unrivaled employer match for our 401(k) retirement plan
• Generous vacation and family leave
• On-site amenities in support of health and efficiency
• Fertility and adoption assistance
• Reimbursement for child care during interviews

Valve strives to improve the diversity of our teams to better serve our diverse global audience. We welcome and encourage individuals from all backgrounds to apply. Candidates will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, family status, veteran status or disability status. Valve is committed to creating an inclusive work environment and does not tolerate discrimination or harassment in the workplace.

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What you'll do

• Project & Process Management
• Lead Agile ceremonies (e.g., sprint planning, retrospectives, backlog refinement) and enhance Agile development practices within the team.
• Oversee team deliveries, including managing risks, dependencies, and critical paths.
• Coordinate tasks across diverse internal and external teams, spanning multiple locations, time zones, and cultures.
• Improve operational effectiveness of team effort by assessing current practices, incorporating new strategies, and increasing predictability.

What you need

• 5+ years of software project management and team leadership experience.
• 3+ years of experience using Agile project management methodology.
• Experienced in project planning, capacity planning, dependency and risk management including mitigation techniques.

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You'll be responsible for supporting the production planning team in the development and implementation of production plans for new vehicle projects. This will involve working closely with cross-functional teams to ensure that production plans are aligned with business objectives and that all necessary resources are in place to meet production targets.

• Develop and maintain production plans for new vehicle projects, including scheduling, resource allocation, and capacity planning
• Collaborate with production planning team members to ensure that production plans are aligned with business objectives and that all necessary resources are in place to meet production targets
• Work closely with cross-functional teams, including engineering, procurement, and logistics, to ensure that production plans are aligned with business objectives and that all necessary resources are in place to meet production targets
• Analyze production data and provide insights to inform production planning decisions

What you need

To succeed in this role, you'll need a strong understanding of production planning principles and practices, as well as excellent analytical and problem-solving skills.

• Bachelor's degree in a relevant field, such as industrial engineering, operations research, or supply chain management
• 1-2 years of experience in production planning or a related field
• Strong understanding of production planning principles and practices
• Excellent analytical and problem-solving skills
• Ability to work effectively in a team environment
• Strong communication and interpersonal skills

Why this matters

This role is critical to the success of our production planning team and will play a key role in ensuring that we meet our production targets and deliver high-quality products to our customers. As a member of our team, you'll have the opportunity to work on exciting projects, develop your skills and knowledge, and contribute to the success of our organization.

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