We supercharge electrical wire harness manufacturing through software configuration, transforming skilled assembly tasks into high-throughput production lines. We enable customers to design what they want, when they want it and deliver harness builds at record-breaking speed.

We're seeking a Senior Manufacturing Engineer to take ownership of complex wire harness programs across our customer portfolio. You'll develop engineering packages including detailed work instructions and formboards, drive process improvements and serve as the technical point of contact for assigned programs, working closely with production, quality and customers to deliver.

You'll own programs end-to-end – managing customer relationships, solving complex technical challenges, developing build processes, and ensuring quality and delivery targets are met. You need to be self-sufficient, technically deep, and comfortable operating with minimal direction.

This role reports to the Lead Manufacturing Engineer but operates with significant independence day-to-day.

Responsibilities

Manufacturing Engineering & Process Development

• Lead planning and coordination of complex harness builds by developing comprehensive work instructions, formboards, and tooling solutions
• Establish manufacturing standards and processes that enable production to build efficiently and autonomously
• Drive improvements to quality, efficiency, and throughput through process benchmarking and workflow optimization
• Evaluate new parts and processes, determining optimal paths for assembly and scalability
• Commission new equipment, qualify processes, and optimize production flow as needed
• Partner with the production team on technical issues that require engineering disposition, providing structured solutions rather than ad hoc floor support

Continuous Improvement & Site Operations

• Work with the production team to surface systemic issues, translating recurring blockers into process improvements and engineering solutions
• Collaborate with the software team on digital solutions to improve traceability, workflow, and reporting
• Maintain 5S, lean manufacturing principles, and adherence to aerospace quality standards
• Develop and maintain engineering documentation that keeps assigned programs aligned with IPC-620/NASA 8739.4 and customer-specific requirements

Customer Program Management

• Serve as the primary technical liaison between production and assigned customers
• Manage complex technical inquiries, resolve escalated issues, and ensure adherence to stringent specifications
• Collaborate with the Program Management Team on program reviews and customer communications, providing technical depth and engineering rationale as needed
• Coordinate cross-functionally with production, quality, and supply chain to maintain program momentum and resolve blockers

Requirements

• Bachelor's degree in engineering, STEM-related field, or 8+ years of directly related hands-on manufacturing experience
• 5+ years of manufacturing engineering experience in fast-paced production environments (wire harness, electrical assembly, or similar)
• Proven ability to work independently with minimal supervision in a high-accountability role
• Strong customer-facing skills with ability to manage technical relationships and communicate effectively
• Proficiency in CAD tools for creating assembly drawings and tooling designs
• Deep understanding of manufacturing principles: material workflow optimization, PFMEA, 5S, lean manufacturing, time studies, capacity planning
• Expert ability to evaluate parts and processes, determining optimal assembly approaches quickly
• Self-motivated problem-solver who thrives on autonomy and takes ownership of outcomes
• Excellent project management skills with ability to juggle multiple programs and priorities

Preferred

• Certification or extensive experience with IPC-620 or NASA STD 8739.4 standards
• Deep expertise in aerospace and defense wire harness best practices and quality standards
• Experience at a contract manufacturing company managing multiple customer programs simultaneously
• Hands-on background with complex harness fabrication, box builds, connector mates, and electrical testing , used to inform engineering decisions, not as a primary job function
• Experience leading process improvement initiatives (Six Sigma, Kaizen) with documented efficiency gains
• 10+ years of overall manufacturing engineering experience with progressive responsibility
• Background with MES or ERP systems
• Supply chain coordination experience

Compensation

• Compensation will be based on experience, qualifications, and other job-related factors.
• Salary Range: $130,000-$180,000
• This is an onsite role at our headquarters in Redondo Beach, CA or Cypress, CA.

Benefits

• Unmatched opportunities to drive impact on a friendly and mission-driven team
• Own a piece of the pie with equity participation!
• Comprehensive medical, dental, vision, life and long-term disability coverage
• Flexible Spending Account (FSA) and Dependent Spending Account (DSA) for health-related expenses
• 20 vacation days per year and 12 company holidays for rest and relaxation
• a 401(k) plan to set yourself up for retirement
• Choose a record you love, and we'll add it to our growing vinyl collection!
• $50/month DoorDash credit – lunch is on us!
• Up to $100/month reimbursement for gym memberships
• Fully stocked kitchen with snacks and beverages
• Regular team-building events, lunches, and the occasional breakfast burrito!
• Bright, open office with communal spaces for collaboration and free parking
• Conveniently located near the metro, major freeways and local dining spots

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Anthropic’s Inference organisation serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands.

We're looking for a Technical Program Manager to drive the programs that scale it.

The work spans four closely coupled areas:

• Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
• Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
• Inference engine. The software between the accelerator kernels and the routing layer that serves every request.
• Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.

Key responsibilities

• Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
• Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
• Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
• Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
• Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
• Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
• Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
• Own inference readiness for model launches alongside our launch TPMs.

Minimum qualifications

• 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms.
• Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability.
• A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect).
• A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
• The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership.
• Strong written communication, including plans, reviews, and executive updates that many teams depend on.
• Low ego and high ownership.
• Care about Anthropic's mission and about serving frontier AI safely and reliably.

Preferred qualifications

• Direct experience with LLM or ML inference serving at scale.
• Experience with accelerator infrastructure (GPU, TPU, or Trainium).
• Experience managing capacity across multiple clouds or regions.
• Experience with developer productivity, release engineering, or CI/CD at scale.
• Experience running performance or efficiency programs.
• Familiarity with Kubernetes-based orchestration and job scheduling.
• Experience working with research teams and turning their needs into infrastructure requirements.
• Practical experience using AI tools in your own workflow.

The annual compensation range for this role is $290,000-$435,000 USD.

XML job scraping automation by YubHub

Anthropic’s Inference organisation serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.

We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:

• Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
• Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
• Inference engine. The software between the accelerator kernels and the routing layer that serves every request.
• Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.

This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.

Key responsibilities

• Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
• Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
• Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
• Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
• Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
• Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
• Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
• Own inference readiness for model launches alongside our launch TPMs.

Minimum qualifications

• 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
• Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
• A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
• A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
• The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
• Strong written communication, including plans, reviews, and executive updates that many teams depend on.
• Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
• Care about Anthropic's mission and about serving frontier AI safely and reliably.

Preferred qualifications

• Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
• Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
• Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
• Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
• Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
• Familiarity with Kubernetes-based orchestration and job scheduling.
• Experience working with research teams and turning their needs into infrastructure requirements.
• Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.

The annual compensation range for this role is $290,000-$435,000 USD.

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At Cloudflare, we're on a mission to help build a better Internet. The company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

About the Team

Cloudflare Browser Isolation runs web content in remote browsers, helping protect users from threats while preserving a responsive browsing experience. Our team builds the Chromium-based browsing engine, remote rendering and streaming technology, and distributed services that manage browser sessions across Cloudflare's global network.

Responsibilities

• Lead complex, multi-component initiatives from problem definition and design through implementation, staged rollout, and measurable production outcomes.
• Design and implement changes in our Chromium-based C++ browser and the distributed services and systems components supporting remote browsing, working across Go, Rust, and TypeScript.
• Make and explain architectural trade-offs across latency, availability, resource efficiency, security boundaries, and operational complexity.
• Investigate difficult cross-layer failures and performance bottlenecks, distinguishing browser, host, network, and control-plane causes.
• Improve resilience, capacity management, observability, and release safety; define success metrics and validate results.
• Coordinate work with partner teams, surface dependencies and risks early, and guide delivery through ambiguity.
• Mentor engineers and raise the quality of code reviews, design reviews, testing, documentation, and operational practices.
• Participate in the team's production on-call rotation after onboarding, lead technical incident investigations as needed, and drive durable corrective actions.

Technologies We Use

• Browser engine: Chromium and C++
• Systems programming: Rust
• Distributed services and orchestration: Go, TypeScript, Cloudflare Workers, Nomad, and Consul
• Remote rendering and streaming: WebRTC and Skia
• Browser client: TypeScript, WebAssembly, and WebGL

Desirable Skills, Knowledge, and Experience

• Strong production C++ proficiency, including memory and resource ownership, concurrency, and debugging in substantial codebases.
• A track record of independently leading complex systems or distributed-service improvements across multiple components, from an unclear problem to a reliable production outcome.
• Strong Linux/UNIX and networking fundamentals, with experience diagnosing correctness, latency, and resource-consumption issues using profiling and operational evidence.
• Experience designing and operating distributed systems, with sound judgment about service boundaries, data partitioning, consistency, timeouts and retries, backpressure, capacity limits, and recovery from partial failures.
• Experience designing safe rollout and recovery strategies and maintaining production software over its lifecycle.
• Ability to communicate trade-offs clearly, align stakeholders, mentor teammates, and improve engineering practices through constructive feedback.
• A willingness to work across C++, Rust, Go, and TypeScript and learn unfamiliar parts of the stack.

Compensation

For Portugal-based hires: Estimated annual salary is between €66,000 - €91,000.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul.

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You will design, build, and operate scalable cloud services for job execution, resource management, and storage. You will solve infrastructure challenges across Kubernetes, job scheduling, multi-region services, and automated recovery. You will develop agentic workflows that streamline infrastructure operations and reduce repetitive manual work.

Responsibilities:

• Design, build, and operate scalable cloud services for job execution, resource management, and storage
• Solve infrastructure challenges across Kubernetes, job scheduling, multi-region services, and automated recovery
• Develop agentic workflows that streamline infrastructure operations and reduce repetitive manual work
• Build observability, monitoring, and remediation capabilities to improve platform reliability and diagnose production issues
• Partner with engineering teams to understand customer needs and deliver solutions from concept through production
• Drive capacity planning, performance optimization, and production readiness as the platform grows

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
• 8+ years of infrastructure development experience, including delivering scalable cloud solutions from concept to production
• Strong object-oriented programming skills in Java or Go
• Background in artificial intelligence, machine learning, and data analytics, with the ability to apply these techniques to infrastructure
• Ability to diagnose complex distributed systems issues and drive root-cause resolution
• Effective collaboration across engineering teams and time zones, with ownership of customer needs and production outcomes

Nice to have:

• A track record of operating large-scale distributed platforms and improving reliability, scalability, and operational efficiency
• Hands-on work with Kubernetes, container orchestration, and multi-cluster or multi-region environments
• Success building observability, alerting, and automated remediation systems that reduce operational toil
• Expertise in capacity planning, performance tuning, and preparing rapidly growing platforms for production
• Demonstrated ownership of ambiguous infrastructure challenges, from solution design through ongoing operation and continuous improvement

NVIDIA offers highly competitive salaries and a comprehensive benefits package. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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We are seeking an Infrastructure Network & Supply Engineer to join our Infrastructure Capacity Planning team at Cloudflare. As a key member of this team, you will build products, tools, and AI agents that turn growth and demand forecasts into scalable infrastructure expansions.

Responsibilities

• Infrastructure Capacity & Expansion Planning: Translate demand forecasts into infrastructure capacity plans that support business growth, aligning hardware deployments with performance, cost, and timeline targets.
• Deployment Planning & Execution Coordination: Build quarterly and weekly deployment plans that are realistic, balanced, and optimized for execution efficiency across operations, logistics, integration partners, and engineering teams.
• Supply, Inventory & Lifecycle Readiness: Partner with Procurement and Data Center teams to ensure hardware and resources are available at the right time and locations, and manage inventory to balance availability, cost efficiency, and operational risk.
• AI-First Products, Automation & Continuous Improvement: Design, build, and ship internal products , forecasting models, dashboards, planning systems, and automated workflows , using AI/agentic tooling to structure messy data, run scenario analyses, and improve planning accuracy.
• Cross-Functional Collaboration: Act as a central layer across planning, operations, engineering, logistics, procurement, and finance to keep Cloudflare's global deployments moving smoothly.

Requirements

• Experience in capacity planning, infrastructure planning, production/operations planning, supply planning, or a related technical planning role.
• Strong analytical and problem-solving skills, with experience across complex operational systems and managing multiple priorities in fast-paced environments.
• Hands-on experience building tools, automation, or internal products.
• Fluency with AI tools in daily work, and a genuine appetite to use and create AI/agentic tooling to scale decision-making and eliminate manual toil.
• Excellent communication and stakeholder-management skills.

Compensation

• Estimated annual salary of €36,000-50,000 for Portugal-based hires.

Benefits

No specific benefits mentioned.

Company Culture

Cloudflare values curiosity, AI-native thinking, and iteration, leveraging AI to ship faster and make improvements.

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As a Senior Supply Chain Risk Management Specialist at Ford's Purchasing team, you will play a crucial role in protecting the company's manufacturing operations by identifying and resolving supplier and supply chain risks before they disrupt production.

Responsibilities

• Lead daily supply chain risk management, identifying, assessing, and escalating supplier and supply chain risks that could affect manufacturing operations.
• Independently evaluate emerging situations, challenge assumptions, identify gaps in available information or response plans, and recommend a course of action.
• Drive risk resolution by coordinating containment, recovery, and escalation efforts with suppliers and internal teams.
• Partner with purchasing, supplier technical assistance, materials planning and logistics, manufacturing plants, engineering, logistics, and leadership to protect production continuity.
• Track material availability, potential shortages, and recovery actions using supply chain data and reporting tools; turn findings into clear, actionable recommendations.
• Identify opportunities to strengthen risk prevention and response through analytics, automation, and AI-enabled tools, and share insights with relevant stakeholders.
• Use analytics, automation, and AI-enabled tools to improve early risk detection, decision-making, team development, and continuous improvement.

Qualifications

• A bachelor's degree in supply chain management, engineering, operations, business analytics, or a related field,or equivalent practical experience.
• 7 to 10 years of experience in supply chain, manufacturing operations, logistics, production planning, or a related area.
• Experience assessing operational risks, coordinating responses to disruptions, and driving issues through to resolution.
• Strong Excel and data analysis skills, including reconciling information from multiple sources and translating findings into clear priorities and actions.
• Knowledge of inventory management, capacity planning, logistics, and supplier operations.
• Familiarity with structured problem-solving methods such as 8D, 5 Whys, root cause analysis, and corrective action planning.
• Ability to distinguish symptoms from root causes, and temporary containment measures from permanent corrective actions.
• Ability to validate data quality, identify information gaps, and communicate uncertainty clearly.
• Strong analytical and problem-solving skills, including the ability to work with incomplete information, question assumptions, and identify gaps.
• Experience collaborating across functions and with suppliers; leadership, project leadership, or cross-functional coordination experience is valuable.
• Experience using data visualization or reporting tools such as Power BI or similar platforms.
• Comfort using or learning AI-enabled tools, automation, and prompt-based workflows to support analysis and decision-making.
• Clear communication skills, including the ability to present risks, recommendations, and recovery plans to different audiences.

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As Senior Sales Operations Analyst, you'll partner with GTM leaders, Finance, Revenue Operations, and GTM Ops to develop and execute segmentation, book-of-business design, quota setting, and capacity planning.

Segmentation & Book of Business

• Own the design and ongoing maintenance of customer/account segmentation for Direct, Expansion, and Benefits sales, translating org-level segmentation strategy into concrete, rules-based models these teams can operate against.
• Build and maintain balanced books of business across reps and teams, accounting for account potential, workload, geography, and product mix; own rebalancing when the business shifts (new hires, departures, territory changes, book splits).
• Set and maintain clear, documented rules for account assignment, routing, and reclassification, and serve as the ruling authority when edge cases or disputes come up.
• Partner with Sales, GTM Ops, and Systems & Tooling to ensure segmentation and book structures are reflected accurately in Salesforce and downstream systems.

Quota Setting

• Own the end-to-end quota-setting process for Direct, Expansion, and Benefits: translating top-down revenue targets into bottoms-up, capacity-based quotas by rep, team, and segment.
• Build and maintain the quota models and methodology, ensuring quotas are defensible, equitable across territories/books, and tightly tied to book-of-business design and headcount capacity.
• Partner with RTM leaders, Finance, and Sales Compensation to align quotas with comp plans, revenue targets, and business priorities each planning cycle.
• Own quota administration through the cycle: true-ups for territory or book changes, new-hire ramp adjustments, and mid-cycle corrections.

Headcount & Capacity Planning

• Partner with GTM Ops & Finance on capacity planning for Direct, Expansion, and Benefits: modeling the headcount needed to cover segmented books and hit revenue targets, and identifying where the org is over- or under-staffed relative to opportunity.
• Build the headcount models that inform hiring plans, partnering with RTM leaders and Finance on timing, sequencing, and prioritization of new roles.
• Continuously monitor capacity against actual book size, productivity, and attrition, flagging gaps or imbalances before they become a problem.
• Own scenario planning for headcount and territory changes (reorgs, new segments, M&A, product launches), modeling the impact before decisions are made.

Cross-functional Partnership & Communication

• Partner closely with RTM leaders and their GTM Ops partners across Direct, Expansion, and Benefits to ensure segmentation, book, quota, and capacity decisions reflect real operational context, while retaining ownership of the outcome and the execution.
• Work with GTM Ops, Finance, and Sales Compensation to stay aligned with org-wide segmentation frameworks, revenue targets, and comp design.
• Communicate clearly and proactively with sales leadership on plan status, tradeoffs, and risk: you're the trusted authority on "how the books, quotas, and headcount are built and why."
• Document methodology and decisions so segmentation, quota, and capacity models are transparent, auditable, and repeatable across planning cycles.

Requirements

• 5+ years in Sales Ops, RevOps, or a similar analytical GTM role, with direct, hands-on experience owning segmentation, territory/book design, quota setting, or headcount/capacity planning; ideally in a fast-paced SaaS or fintech environment.
• Proven ability to own outcomes and execution, not just analysis or recommendations: you're comfortable being the accountable owner when a quota, book, or headcount plan is challenged.
• Strong sales process & tooling proficiency: you can build and audit account assignment/routing logic, manage territory and book structures, and build reporting that leaders trust.
• Analytical depth; comfortable building and defending quantitative models (quota, capacity, segmentation) under time pressure.
• Experience running planning processes on a recurring cadence (annual/quarterly quota setting, ongoing book rebalancing, headcount reviews) across multiple stakeholder groups.
• Excellent written and verbal communication; you can defend a model's methodology to GTM leaders and senior sales leadership, and hold your ground when a decision is unpopular but correct.
• A first-principles problem solver who can build a defensible model from ambiguous inputs and translate org-level strategy into concrete, rules-based execution.
• A strong cross-functional partner, able to work closely with GTM leaders and GTM Ops peers without ceding ownership of the outcome.

Preferred Qualifications

• Experience owning segmentation, book-of-business, or quota/capacity planning across multiple sales organizations or motions simultaneously (e.g., new business, expansion, and a distinct product line).
• Experience in payroll, HR tech, benefits, or SMB SaaS go-to-market motions.
• Experience partnering with Sales Compensation and Finance on quota-to-comp alignment.
• Experience designing or improving account assignment/routing automation (e.g., lead-routing tools, rules engines).

Compensation Our cash compensation amount for this role is targeted at $100,000 - $120,000/yr in Scottsdale, $105,000 - $130,000/yr in Denver and Atlanta, $130,000 - $155,000/yr in San Francisco and New York, and $120,000 - $145,000 CAD/yr for Toronto.

XML job scraping automation by YubHub

As Senior Sales Operations Analyst, you'll partner with GTM leaders, Finance, Revenue Operations, and GTM Ops to develop and execute segmentation, book-of-business design, quota setting, and capacity planning.

Segmentation & Book of Business

• Own the design and ongoing maintenance of customer/account segmentation for Direct, Expansion, and Benefits sales, translating org-level segmentation strategy into concrete, rules-based models these teams can operate against.
• Build and maintain balanced books of business across reps and teams, accounting for account potential, workload, geography, and product mix; own rebalancing when the business shifts (new hires, departures, territory changes, book splits).
• Set and maintain clear, documented rules for account assignment, routing, and reclassification, and serve as the ruling authority when edge cases or disputes come up.
• Partner with Sales, GTM Ops, and Systems & Tooling to ensure segmentation and book structures are reflected accurately in Salesforce and downstream systems.

Quota Setting

• Own the end-to-end quota-setting process for Direct, Expansion, and Benefits: translating top-down revenue targets into bottoms-up, capacity-based quotas by rep, team, and segment.
• Build and maintain the quota models and methodology, ensuring quotas are defensible, equitable across territories/books, and tightly tied to book-of-business design and headcount capacity.
• Partner with RTM leaders, Finance, and Sales Compensation to align quotas with comp plans, revenue targets, and business priorities each planning cycle.
• Own quota administration through the cycle: true-ups for territory or book changes, new-hire ramp adjustments, and mid-cycle corrections.

Headcount & Capacity Planning

• Partner with GTM Ops & Finance on capacity planning for Direct, Expansion, and Benefits: modeling the headcount needed to cover segmented books and hit revenue targets, and identifying where the org is over- or under-staffed relative to opportunity.
• Build the headcount models that inform hiring plans, partnering with RTM leaders and Finance on timing, sequencing, and prioritization of new roles.
• Continuously monitor capacity against actual book size, productivity, and attrition, flagging gaps or imbalances before they become a problem.
• Own scenario planning for headcount and territory changes (reorgs, new segments, M&A, product launches), modeling the impact before decisions are made.

Cross-functional Partnership & Communication

• Partner closely with RTM leaders and their GTM Ops partners across Direct, Expansion, and Benefits to ensure segmentation, book, quota, and capacity decisions reflect real operational context, while retaining ownership of the outcome and the execution.
• Work with GTM Ops, Finance, and Sales Compensation to stay aligned with org-wide segmentation frameworks, revenue targets, and comp design.
• Communicate clearly and proactively with sales leadership on plan status, tradeoffs, and risk: you're the trusted authority on "how the books, quotas, and headcount are built and why."
• Document methodology and decisions so segmentation, quota, and capacity models are transparent, auditable, and repeatable across planning cycles.

Requirements

• 5+ years in Sales Ops, RevOps, or a similar analytical GTM role, with direct, hands-on experience owning segmentation, territory/book design, quota setting, or headcount/capacity planning; ideally in a fast-paced SaaS or fintech environment.
• Proven ability to own outcomes and execution, not just analysis or recommendations: you're comfortable being the accountable owner when a quota, book, or headcount plan is challenged.
• Strong sales process & tooling proficiency: you can build and audit account assignment/routing logic, manage territory and book structures, and build reporting that leaders trust.
• Analytical depth; comfortable building and defending quantitative models (quota, capacity, segmentation) under time pressure.
• Experience running planning processes on a recurring cadence (annual/quarterly quota setting, ongoing book rebalancing, headcount reviews) across multiple stakeholder groups.
• Excellent written and verbal communication; you can defend a model's methodology to GTM leaders and senior sales leadership, and hold your ground when a decision is unpopular but correct.
• A first-principles problem solver who can build a defensible model from ambiguous inputs and translate org-level strategy into concrete, rules-based execution.
• A strong cross-functional partner, able to work closely with GTM leaders and GTM Ops peers without ceding ownership of the outcome.

Preferred Qualifications

• Experience owning segmentation, book-of-business, or quota/capacity planning across multiple sales organizations or motions simultaneously (e.g., new business, expansion, and a distinct product line).
• Experience in payroll, HR tech, benefits, or SMB SaaS go-to-market motions.
• Experience partnering with Sales Compensation and Finance on quota-to-comp alignment.
• Experience designing or improving account assignment/routing automation (e.g., lead-routing tools, rules engines).

Compensation Our cash compensation amount for this role is targeted at $100,000 - $120,000/yr in Scottsdale, $105,000 - $130,000/yr in Denver and Atlanta, $130,000 - $155,000/yr in San Francisco and New York, and $120,000 - $145,000 CAD/yr for Toronto.

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You will own NVIDIA IT’s annual and quarterly workforce and operational planning process, connecting business priorities, portfolio demand, service commitments and technical roadmaps to clear capability and capacity requirements. Integrated scenarios will show tradeoffs across full-time employees, contingent workers, suppliers, skills, locations, cost, productivity and risk. These models will help leaders decide where to add, redeploy, develop, automate, outsource or stop work and define success measures that make ownership and progress visible.

This role also builds the operating systems behind better decisions, including governed data models, scenario tools, dashboards, workflow automation and lightweight artificial intelligence solutions. Working directly with leaders and users, you will test ideas, measure adoption and improve the tools until they change outcomes.

You will shape supplier and external workforce strategy within the capacity model, covering partner mix, delivery model, location, consolidation, productivity and performance. Close partnership with IT, Finance, Human Resources, Procurement, Legal and business teams will keep decisions fast, evidence-based and accountable.

Beyond recurring planning, the role will tackle high-impact questions without an obvious owner, surface capacity constraints early and provide concise recommendations to technology executives.

Requirements:

• Bachelor’s degree in business, finance, operations, engineering, information systems or a related field, or equivalent experience.
• 12+ years of relevant experience in management consulting, corporate strategy, workforce strategy or business operations, including 5+ years leading complex cross-functional initiatives.
• A record of owning workforce, capacity, portfolio or operational planning in a complex global organization and translating plans into measurable execution.
• Exceptional structured problem solving, business judgment and quantitative depth, including scenario modeling, sensitivity analysis and data validation, even with incomplete or conflicting data.
• Hands-on fluency with advanced spreadsheets, data visualization, analytical platforms and artificial intelligence tools, plus the ability to query data and rapidly prototype solutions.
• Clear executive communication and influence, with the ability to turn complex business and technical material into concise recommendations, explicit tradeoffs and decisions.
• Sound knowledge of external workforce models, supplier economics and commercial tradeoffs, with respect for approval roles held by Procurement, Legal, Finance and Human Resources.

Nice to have:

• Built a workforce or capacity planning operating system from the ground up in a high-growth technology, infrastructure or consulting environment.
• Shipped internal data products, automated workflows, agents or decision tools that leaders adopted and that improved speed, quality, cost or productivity.
• Modeled global workforce choices across employees, contractors, suppliers, skills, locations and outcome-based delivery.
• Combined strategy consulting or corporate strategy experience with a record of implementing and operating what you designed.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

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As a Staff Site Reliability Engineer, you will join our Platform Engineering organization and own the reliability posture of significant parts of our production estate. Your impact will be felt across multiple teams rather than within one.

Responsibilities:

• Own the reliability posture of production services in your area , availability, latency, capacity, efficiency, performance, and the monitoring and alerting that makes them visible
• Define, instrument, and operate against SLIs and SLOs, and use error budgets to drive engineering priorities
• Identify trends and problem areas that threaten stability, and provide a path forward to mitigate risk before it reaches customers
• Drive down repair items and prevent classes of incidents rather than resolving them one at a time
• Improve detection, response, and recovery , reducing time to acknowledge, engage, mitigate, and restore, with fewer people pulled in
• Design for failure: strengthen failure domains, validate recovery paths, and make production changes safer to ship and safer to roll back
• Participate in on-call for the services you support, and lead the response when production is degraded
• Write post-mortems that identify true root causes, and drive the follow-up work to completion
• Oversee efforts to identify, diagnose, report, and document production problems across all reliability dimensions
• Write, configure, and deploy code that measurably improves service reliability , maintainable, reviewed, documented, and well tested
• Orchestrate complex changes across systems and services, documenting design changes, technical decisions, migration plans, and upgrades
• Lead debugging, troubleshooting, and analysis of service architecture and design
• Use code review to drive up the quality of your coworkers' code
• Reduce the operational overhead required to run infrastructure and services
• Drive projects from conception to completion for efforts spanning the concerns of your team
• Coordinate across programs, collaborating with others to estimate and communicate delivery timelines
• Break projects into milestones and tasks, track progress, and communicate updates to stakeholders
• Identify and communicate changes that may impact stability

Qualifications:

• 8+ years of related engineering experience, with a substantial portion focused on reliability, infrastructure, or platform engineering
• Demonstrated accountability for production systems , you have carried a pager for services that mattered and owned the outcome when they failed
• Strong software engineering fundamentals: you build and ship production code, not only configure tooling
• Experience defining and operating against SLIs and SLOs, and using error budgets to inform engineering priorities
• Depth in production operations: incident command, post-mortem analysis, capacity planning, and observability
• A record of preventing recurrence , reducing incident classes and operational toil, not just closing tickets
• Experience driving changes that span multiple teams, and the communication skills to build alignment without formal authority
• A track record of improving the engineers around you through code review, design feedback, and mentorship
• Experience with large-scale distributed systems in a cloud environment

Desired:

• Familiarity with infrastructure-as-code, container orchestration, and GitOps-style delivery
• Experience with multi-region architecture, failure-domain design, or regional expansion work
• Background in chaos engineering, game days, or other proactive resilience validation

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You will own the hardware forecast and budget, keep leadership's view of machine spend current, and be the single finance point of contact for machines into Accounting and consolidated FP&A.

In this role, you will be a key partner to our capacity planning and hardware teams, and work day to day with the Compute deal team, Accounting, and the consolidated FP&A team.

Key Responsibilities

• Own the hardware forecast: delivery volumes, lease and financing expense, and cash flows
• Run budget vs. actuals for machine spend: one view of what the fleet costs and why it moved
• Serve as the single point of contact for machines in forecast and close cycles with Accounting and consolidated FP&A
• Coordinate forecast inputs with Capacity Planning and the Compute deal team
• Track spend and cash-flow phasing against multi-year hardware commitments and prepayments
• Partner with Accounting on the treatment of leases, prepayments, and related agreements
• Support chip and accelerator economics analyses led by the Machines finance team
• Build the reporting that keeps leadership's machine spend picture current

Minimum Qualifications

• Owned a forecast or budget end to end at a hardware, semiconductor, hyperscaler, or infrastructure-heavy business
• Strong driver-based modeling skills and budget-vs-actual / variance discipline
• Comfort partnering closely with engineering and commercial teams under deal-timeline pressure
• Passion for Anthropic's mission to build safe, transformative AI systems

Preferred Qualifications

• 7+ years in FP&A, strategic finance, or capacity/infrastructure finance
• Capacity planning or infrastructure FP&A experience at a hyperscaler or major chip maker
• Experience building forecast infrastructure for a new or fast-changing spend area
• Lease and long-term-agreement accounting fluency
• MBA, CFA, or equivalent

The annual compensation range for this role is $240,000-$325,000 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!

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As a Staff Site Reliability Engineer, you will join our Platform Engineering organization and own the reliability posture of significant parts of our production estate. Your impact will be felt across multiple teams rather than within one.

Responsibilities:

• Own the reliability posture of production services in your area , availability, latency, capacity, efficiency, performance, and the monitoring and alerting that makes them visible
• Define, instrument, and operate against SLIs and SLOs, and use error budgets to drive engineering priorities
• Identify trends and problem areas that threaten stability, and provide a path forward to mitigate risk before it reaches customers
• Drive down repair items and prevent classes of incidents rather than resolving them one at a time
• Improve detection, response, and recovery , reducing time to acknowledge, engage, mitigate, and restore, with fewer people pulled in
• Design for failure: strengthen failure domains, validate recovery paths, and make production changes safer to ship and safer to roll back
• Participate in on-call for the services you support, and lead the response when production is degraded
• Write post-mortems that identify true root causes, and drive the follow-up work to completion
• Oversee efforts to identify, diagnose, report, and document production problems across all reliability dimensions
• Write, configure, and deploy code that measurably improves service reliability , maintainable, reviewed, documented, and well tested
• Orchestrate complex changes across systems and services, documenting design changes, technical decisions, migration plans, and upgrades
• Lead debugging, troubleshooting, and analysis of service architecture and design
• Use code review to drive up the quality of your coworkers' code
• Reduce the operational overhead required to run infrastructure and services
• Drive projects from conception to completion for efforts spanning the concerns of your team
• Coordinate across programs, collaborating with others to estimate and communicate delivery timelines
• Break projects into milestones and tasks, track progress, and communicate updates to stakeholders
• Identify and communicate changes that may impact stability

Qualifications:

• 8+ years of related engineering experience, with a substantial portion focused on reliability, infrastructure, or platform engineering
• Demonstrated accountability for production systems , you have carried a pager for services that mattered and owned the outcome when they failed
• Strong software engineering fundamentals: you build and ship production code, not only configure tooling
• Experience defining and operating against SLIs and SLOs, and using error budgets to inform engineering priorities
• Depth in production operations: incident command, post-mortem analysis, capacity planning, and observability
• A record of preventing recurrence , reducing incident classes and operational toil, not just closing tickets
• Experience driving changes that span multiple teams, and the communication skills to build alignment without formal authority
• A track record of improving the engineers around you through code review, design feedback, and mentorship
• Experience with large-scale distributed systems in a cloud environment

Desired:

• Familiarity with infrastructure-as-code, container orchestration, and GitOps-style delivery
• Experience with multi-region architecture, failure-domain design, or regional expansion work
• Background in chaos engineering, game days, or other proactive resilience validation

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As a Product Manager for Inference Platform, you will help define and drive the products and platform capabilities that enable large-scale models serving across a broad portfolio of models, both open source and proprietary.

What you will be doing:

• Define product vision and strategy for inference platform capabilities , including APIs, capacity management, cost management, performance and optimization, and model serving infrastructure.
• Translate user needs and infrastructure constraints into clear requirements and prioritized roadmaps.
• Partner closely with engineering, research, and user groups teams to drive execution from concept through launch.
• Be responsible for end-to-end product lifecycle for inference-related products and platform investments.
• Develop deep understanding of the inference ecosystem , model formats, serving frameworks, API formats, and the tradeoffs that matter at scale.
• Drive clarity in ambiguous situations by framing the problem, identifying what is known and unknown, and proposing a path forward.
• Represent the voice of the user and ensure product decisions are grounded in real needs, not assumptions.
• Track and synthesise developments across the inference landscape: open source model releases, serving frameworks, competitive dynamics, and emerging use cases.

What we need to see:

• 12+ years of experience with a track record of delivering complex technical products.
• Bachelors degree or higher, or equivalent experience.
• Strong written and verbal communication, you are able to write clear, concise product documents, specs, and strategies.
• Ability to operate in ambiguous, fast-paced environments and make progress without a full playbook.
• Analytical professional who can break down complex problems, identify the right questions, and drive toward decisions.
• Strong user empathy , able to synthesise qualitative and quantitative signals into a coherent picture of what users need and why.
• Deep familiarity with AI/ML systems and inference serving frameworks (such as TensorRT-LLM, vLLM, or Triton Inference Server), tradeoffs involved, and what matters to model publishers, application developers and cloud operators.
• Experience with inference APIs- design, versioning, performance, hardware efficiency, and developer experience.
• Familiarity with open source as well as commercial model ecosystems and the different considerations each brings to a serving platform.

Ways to stand out from the crowd:

• Experience with sophisticated inference techniques: disaggregated prefill/decode, KV cache management, speculative decoding, or continuous batching.
• Background in large scale systems and developer platforms, cloud infrastructure, or MLOps tooling.
• Exposure to capacity planning, quota management, or resource scheduling in large-scale compute environments.

You thrive in the early stages of building , where the problem is not fully defined, the team is still forming, and the decisions you make will shape direction for years.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

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At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

We are seeking an L4 Capacity Planning Lead to join Coinbase's Compliance Workforce Management team. This role is central to translating volume trends, staffing assumptions, and business inputs into actionable short- and medium-range capacity plans that help our compliance operation meet regulatory demand efficiently and cost-effectively.

Responsibilities

• Own forecasts and short-range capacity plans across multiple compliance queues and markets, translating volume, AHT, and shrinkage trends into staffing requirements and coverage plans
• Use hybrid human–AI tooling to build and maintain capacity models that reflect the growing complexity of our support channels and workforce structure
• Create multi-scenario staffing plans that model trade-offs between Service Levels, Employee Experience, Operational Flexibility, and Cost Effectiveness
• Partner with vendor management and BPO partners to ensure staffing targets and contractual SLAs are met
• Collaborate with Compliance Operations, Finance, and Recruiting to align capacity plans with headcount budgets, growth targets, and business priorities
• Analyze drivers of forecast misses and continuously improve forecasting methodology using statistical and data-driven approaches
• Automate and streamline planning processes to reduce manual effort and increase the accuracy and scalability of outputs
• Clearly communicate capacity risks, dependencies, and staffing recommendations to operational stakeholders and WFM leadership
• Utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

Requirements

• Minimum 4 years of relevant experience in Workforce Management, with demonstrated expertise in capacity planning and forecasting
• Proven ability to build and maintain capacity models, with strong proficiency in Excel and/or Google Sheets; experience with WFM platforms (e.g., Assembled or comparable)
• Experience working across multiple support channels and planning for both FTE and vendor/BPO workforces
• Ability to work with large datasets to identify trends, model scenarios, and translate quantitative outputs into clear operational recommendations
• Strong analytical skills with a data-driven approach to workforce decision-making
• Excellent written and verbal communication skills, with the ability to clearly convey capacity risks and staffing plans to operational and cross-functional stakeholders
• Highly flexible and adaptable to the evolving needs of a high-growth, fast-paced organization

Nice to Haves

• Experience with BI tools such as Looker
• SQL experience
• Familiarity with agentic or AI-assisted planning tools
• Experience in tech or fintech

Benefits

• Medical, dental, vision, 401(k)

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team & role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Command Center (RCC) is a newly formed reliability team that serves as the front line for detecting, coordinating, and mitigating production incidents across Robinhood.

As part of Robinhood’s broader reliability initiative, RCC works closely with product engineering, reliability, observability, infrastructure, and business teams to reduce customer impact and shorten incident duration.

As a Staff Senior Engineer, you will be part of the founding RCC team, helping define how Robinhood responds to and learns from incidents at scale. This is a highly visible role focused on incident leadership, operational excellence, and reliability tooling. You will not own product services or core infrastructure, but you will own the processes and tools that enable fast, high-quality incident response.

This role is based in our Menlo Park, California office, with in-person attendance expected at least 3 days per week.

What you'll do:

• Serve as a technical leader driving the long-term reliability and observability strategy across Robinhood’s infrastructure
• Partner closely across many different types of engineers to raise the bar for operational excellence and incident response
• Lead incident mitigation efforts by coordinating service owners, facilitating time-sensitive decisions like rollbacks, traffic shifts, and maintaining a clear source of truth during active incidents
• Develop and maintain incident management processes and procedures to ensure timely resolution and minimize customer impact
• Own incident discovery at the company level by defining and maintaining global dashboards and alerts tied to critical user journeys (CUJs), availability, and business-impact metrics
• Own and evolve incident response tooling and processes, including education, adoption, and measurement of MTTD/MTTR improvements
• Drive post-incident governance and learning, defining standards for postmortems, SEV reviews, and follow-up tracking to ensure durable reliability improvements
• Design and implement next-generation failure mitigation strategies that avoid full-region or full-datacenter failovers
• Define and build frameworks to improve monitoring, alerting, and observability across hundreds of services and systems
• Define and own the roadmap of bringing observability to critical user journeys for Robinhood’s products
• Deliver key insights and executive-level reporting to enable better business decisions around service quality and reliability
• Act as a force multiplier through mentoring, technical influence, and contributions to hiring and engineering culture

What you bring:

• 8+ years of software engineering experience, including significant experience operating production systems
• 3+ years focused on reliability engineering, infrastructure, distributed systems, or production operations
• Hands-on experience serving in incident leadership roles (e.g., IMOC, incident commander, primary oncall)
• Strong communication and cross-functional collaboration skills, especially during high-severity incidents
• Deep knowledge of systems reliability, observability frameworks, and fault-tolerant architecture design
• Experience with multi-region or multi-cluster architectures, capacity planning, and failover strategies
• Familiarity with modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana)
• Demonstrated ability to drive measurable improvements in MTTD, MTTR, availability, or customer impact

What we offer:

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$196,000-$230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$172,000-$202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$153,000-$179,000 USD

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Job Description:

The Senior IT Systems Engineer builds, improves, and sustains classified infrastructure supporting engineering work. The role covers compute, virtualization, storage, networking, identity, endpoints, and security tooling in standalone and air-gapped environments. This is a hands-on senior individual contributor position.

Responsibilities:

• Build and operate classified infrastructure
• Deploy, configure, and sustain Windows Server and Red Hat Enterprise Linux systems, virtualization clusters, enterprise storage, and core infrastructure services in standalone and air-gapped enclaves.
• Build and support VMware, Nutanix AHV/Prism, or similar virtualization environments. Nutanix experience is preferred.
• Support high-density compute for AI/ML, simulation, and engineering workloads, including GPU node provisioning, performance troubleshooting, capacity planning, and coordination with facilities on rack space, power, and cooling.
• Administer and support Active Directory, DNS, DHCP, Group Policy, PKI, certificate services, privileged access, and role-based access for isolated forests with no connection to corporate IT.
• Build and maintain golden images and hardened baselines for servers, workstations, virtual desktops, and supporting infrastructure.
• Manage patching, updates, software packages, and security content in disconnected environments through approved transfer and validation processes.
• Administer backup, recovery, and continuity capabilities. Perform scheduled restore testing and document results and corrective actions.
• Design, configure, and troubleshoot managed switching, VLANs, firewall rules, network segmentation, and approved network connections between facilities. Coordinate with network and security teams to maintain secure, supportable network standards.

Automate and standardize:

• Automate provisioning, configuration, patching, reporting, and compliance tasks using PowerShell, Ansible, Python, Terraform, or similar tools.
• Create repeatable build processes, system baselines, checklists, and runbooks so systems can be deployed consistently rather than built by hand each time.
• Improve existing processes by reducing manual steps, preventing common errors, and documenting effective methods for building and supporting systems.
• Apply and validate DISA STIGs and SRGs using SCAP, STIG Viewer, ACAS/Nessus, scripted remediation, and other approved tools.
• Maintain configuration-management records, as-built documentation, change records, and scan evidence so system configurations can be understood and defended later.
• Review technical changes before production implementation, with attention to security, availability, rollback planning, and operational impact.

Support accreditation and security operations:

• Work with ISSMs, ISSOs, security teams, and program stakeholders to implement NIST SP 800-53, JSIG, RMF, and program-specific technical controls.
• Provide technical documentation and evidence for authorization packages, continuous monitoring, assessments, and audits.
• Implement and maintain audit logging and forwarding, including Elastic or similar centralized logging and SIEM tools.
• Support vulnerability management through ACAS/Nessus scanning, findings triage, remediation planning, patching, and validation during approved maintenance windows.
• Help resolve technical POA&M items and document remediation steps, validation results, and remaining risks.
• Support approved media handling, file transfer, cross-domain processes, and contamination or spillage response alongside the security team.

Support users and sites:

• Act as a senior escalation point for classified IT issues that block engineering work or require deeper troubleshooting across multiple systems.
• Identify and correct root causes rather than relying on repeated fixes or workarounds.
• Support user-account, privileged-access, and workstation-access requests consistent with least privilege and separation-of-duties requirements.
• Support new facility and enclave stand-ups from rack layout and cabling through infrastructure deployment, user onboarding, and operational handoff.
• Mentor junior system administrators and site IT staff, review implementation work before production release, and help improve team standards.
• Work independently, manage competing priorities, communicate risks early, and bring practical solutions to the team.

Required qualifications:

• Strong hands-on experience with Windows Server, Active Directory, Group Policy, DNS, DHCP, PKI, and enterprise endpoint management.
• Experience administering Red Hat Enterprise Linux or similar enterprise Linux systems.
• Experience with VMware, Nutanix, Hyper-V, or similar enterprise virtualization platforms. Nutanix AHV/Prism experience is preferred.
• Experience with enterprise storage, backup/recovery, and capacity planning.
• Experience with managed switching, VLANs, firewall administration, network segmentation, and troubleshooting network connectivity.
• Experience with PowerShell and infrastructure automation. Experience with Ansible, Python, Terraform, or similar tools is a plus.
• Experience applying DISA STIGs, using SCAP/STIG Viewer, supporting ACAS/Nessus findings, and working in RMF, NIST SP 800-53, JSIG, or similarly regulated environments.
• Experience operating in disconnected, air-gapped, classified, or highly controlled environments.
• Ability to document work clearly, follow change control, validate results, and build systems that are easy for others to support.
• Ability to work independently in a fast-moving environment, shift between infrastructure disciplines when needed, and make sound technical decisions without requiring detailed direction.

Preferred qualifications:

• Nutanix AHV, Prism Central, Files, Flow, or cluster lifecycle management.
• GPU server, AI/ML, simulation, VDI, or high-performance compute infrastructure.
• Elastic, Splunk, or other centralized logging and SIEM platforms.
• Disconnected WSUS, offline patching, software-repository management, or approved media-transfer workflows.
• Data-center buildouts, rack-and-stack, structured cabling, power/cooling coordination, and new-facility stand-ups.
• Relevant technical or security certifications, such as Security+, CISSP, RHCSA/RHCE, VMware VCP, Nutanix NCA/NCP, Microsoft certifications, or CCNA/CCNP.

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The base salary for this role ranges from $250K – $325K, with equity offered.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the Role

Replit enables people to build software with AI. The systems underneath that experience must support safe production changes, measurable reliability, and predictable performance as usage grows.

This Engineering Manager will lead SRE across observability, incident management, load testing, performance engineering, cloud cost and capacity, and rollout infrastructure. You'll lead and grow an existing team that builds and operates production platforms and works hands-on across application and infrastructure boundaries.

This is a software-building leadership role, not simply an incident-management function. You'll help teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements. You should be comfortable going deep on a rollout failure or performance investigation while developing technical leaders and sustainable ownership across a distributed team.

Responsibilities

• Observability: Build and operate metrics, logs, traces, and alerting capabilities. Help teams establish meaningful SLOs and use production telemetry to diagnose problems and verify improvements.
• Incident Management: Own incident tooling and practices, coordinate cross-team response, and turn incident reviews into engineering improvements that reduce recovery time and repeat failures.
• Load Testing: Build and maintain load/failure testing capabilities. Validate critical paths under expected demand, quantify headroom, and test recovery and production readiness with service owners.
• Performance Engineering: Lead deep engagements with internal teams on SLOs and end-to-end performance. Use profiling, telemetry, and load tests to identify bottlenecks and deliver improvements with service owners,not just recommendations.
• Stay technically engaged: Review designs and production changes, debug difficult failure modes, and use AI coding tools,including Replit,to prototype and automate. Apply rigorous review and verification to AI-generated changes.
• Build and grow a high-ownership engineering team: Coach engineers, develop technical leaders, manage performance, and hire against agreed needs. Make distributed collaboration, mentoring, and backup coverage deliberate rather than relying on a few permanent escalation points.
• Measure outcomes and close the loop: Track rollout safety, recovery time, repeat incidents, critical-path latency/throughput, test coverage, and improvements arising from cost/capacity analysis. Agree success measures and continuing ownership with partner teams.

Requirements

• Demonstrated engineering management: You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team,not only acted as its strongest individual contributor.
• Software-oriented production systems depth: You have built and operated distributed systems or reliability platforms and can reason across deployment behavior, Kubernetes, telemetry, service dependencies, and recovery mechanisms.
• Safe-change and performance judgment: You have led consequential migrations or incidents and used measurement to diagnose reliability or performance problems. You can distinguish symptoms from causes and validate fixes under realistic conditions.
• Platform-product and cross-team judgment: You can build capabilities other teams adopt, lead hands-on engagements without absorbing every service's operations, and make clear tradeoffs among reliability, performance, engineering effort, and cost.

Nice to Have

• Experience with GitOps or progressive-delivery platforms such as Harness, ArgoCD, or Kargo.
• Experience with observability, profiling, load-testing, and failure-testing systems, including OpenTelemetry or comparable tooling.
• Experience with cloud cost attribution, capacity planning, and provider coordination, particularly on GCP.
• Experience growing distributed teams and using AI tools to increase engineering output while preserving production safeguards.

Benefits

• Competitive Salary & Equity
• 401(k) Program with a 4% match (US Only)
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Flexible Time Off (FTO) + Holidays
• Commuter Benefits (In-Office & US Only)
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement (In-Office Only)
• Quarterly Team Gatherings
• In Office Amenities (In-Office Only)

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The Senior Director will oversee the centralized department that supports care team capacity planning and staffing, including the administration of Omada's third-party licensing and credentialing software, and runs the care team analytics "spoke" within Omada's hub-and-spoke analytics model.

Key responsibilities:

• Own the care teams Capacity Planning, Workforce Operations & Analytics operating vision and roadmap
• Define and maintain a clear operating vision for the department as the "operational brain and data engine" for care teams
• Translate company and care teams strategies into a concrete 1–3 year departmental strategy covering capacity planning, workforce staffing operations, licensing and credential management, and care team analytics/AI enablement
• Design and run the Capacity Planning, Workforce Operations & Analytics operating system
• Own and evolve the operating rhythms, standards, and visibility systems for the department
• Create and maintain scalable rules for shrinkage, occupancy, and staffing allocation that reduce variation, enable predictable quality, and tie operational decisions directly to cost of revenue and gross margin outcomes
• Lead and scale multi-motion capacity planning and staffing operations
• Own capacity planning and staffing models that support Health Coaching, Cardiometabolic Specialists, Physical Activity Specialists, Behavioral Health, Member Support and Member Navigation
• Build out new capabilities including Physical Therapy state-based capacity planning and staffing
• Lead Licensing and Credential Management for care teams and clinical staff
• Oversee system administration for a third-party licensing and credentialing management system
• Ensure credential status is accurate, compliant, and embedded into capacity and staffing decisions
• Partner with Clinical, Legal/Compliance, and People teams to build workflows, controls, and data integrations that reduce regulatory risk
• Own the short-term and long-term analytics roadmap with the Senior Leadership Team
• Lead care team analytics as an analytics "spoke," elevating existing analytics into an AI-enabled function
• Own the AI transformation agenda for care team analytics, including predictive models for demand and supply across teams
• Partner with senior leaders as the capacity and analytics advisor for care teams
• Serve as a trusted advisor to senior leaders on capacity planning, staffing, licensing and credentialing, and analytics strategy
• Lead cross-functional initiatives that connect the department's workstreams to broader company priorities
• Drive continuous improvement, AI-enabled automation, and risk reduction

Requirements:

• Approximately 15+ years of relevant and progressive leadership experience in healthcare operations, care delivery operations, workforce management, or analytics
• Deep experience with capacity planning, workforce staffing operations, and care team analytics
• Experience leading AI-enabled or highly automated operations or analytics functions
• Strong financial and analytical acumen
• Demonstrated ability to influence across levels and lead significant organizational change

Benefits:

• Competitive salary with generous annual cash bonus
• Equity grants
• Employee stock purchasing plan (ESPP)
• Remote-first work-from-home culture
• Flexible Time Off
• Generous parental leave
• Health, dental, and vision insurance
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions

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As Program Manager for Safeguards Workforce Operations, you'll own programs end-to-end for onboarding, offboarding, device provisioning, and access provisioning for every worker type.

Key responsibilities:

• Own the workforce lifecycle for contractor, vendor, and BPO reviewers
• Triage and execute inbound requests for new or changing vendor, BPO, and contractor capacity
• Turn ad hoc or broken processes into scalable ones
• Partner with IT and Security on access governance
• Build and maintain capacity plans with Enforcement leads
• Work with Safeguards vendor management to hold partners accountable
• Align practices with Human Data Operations and other teams
• Help define the long-term workforce strategy for Safeguards Enforcement

Minimum qualifications:

• Experience running onboarding, offboarding, access, and device provisioning
• Operated scaled human review programs with vendors or BPOs
• Improved broken or ad hoc processes
• Understand capacity planning fundamentals
• Exercise sound judgment on access and permissions
• Move quickly and stay effective when priorities change

Preferred qualifications:

• Owned a vendor or BPO relationship directly
• Built formal capacity models
• Supported workforces across multiple enforcement or harm areas
• Hands-on experience with device management and identity and access tooling
• Worked through a period of hypergrowth

The annual compensation range for this role is $245,000-$285,000 USD.

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As Program Manager for Safeguards Workforce Operations, you'll own programs end-to-end for onboarding, offboarding, device provisioning, and access provisioning for every worker type.

Key Responsibilities:

• Own the workforce lifecycle for contractor, vendor, and BPO reviewers: onboarding, offboarding, device provisioning, and access provisioning.
• Triage and execute inbound requests for new or changing vendor, BPO, and contractor capacity.
• Turn ad hoc or broken processes into scalable ones with clear owners, service levels, and a system of record.
• Partner with IT and Security on access governance: least-privilege provisioning, timely revocation, and regular access reviews.
• Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift.
• Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments.
• Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows.
• Help define the long-term workforce strategy for Safeguards Enforcement.

Minimum Qualifications:

• Personally run onboarding, offboarding, access, and device provisioning for contractor, vendor, or BPO workforces.
• Operate scaled human review programs with vendors or BPOs.
• Take a broken or ad hoc process, make it scalable, and bring other teams along in adopting it.
• Understand capacity planning fundamentals.
• Exercise sound judgment on access and permissions.
• Move quickly and stay effective when priorities change and information is incomplete.
• Build alignment through direct partnership with dependent teams.

Preferred Qualifications:

• Owned a vendor or BPO relationship directly.
• Built formal capacity models for review or operations workforces.
• Supported workforces across more than one enforcement or harm area.
• Hands-on experience with device management and identity and access tooling.
• Worked through a period of hypergrowth where programs had to mature alongside the organization.

The annual compensation range for this role is $245,000-$285,000 USD.

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As a Senior Software Engineer, you will design and build systems connecting customer demand, infrastructure supply, reservations, allocation, and utilization across DGX Cloud environments.

Responsibilities:

• Design and build distributed services and data pipelines for capacity planning, allocation, reservations, and utilization.
• Develop a unified model of available, committed, and forecasted GPU capacity across cloud providers, regions, clusters, and products.
• Automate capacity-management workflows currently dependent on manual analysis and coordination.
• Build APIs, tools, and integrations that enable other DGX Cloud systems and teams to make capacity-aware decisions.
• Improve forecasting, scenario planning, and operational visibility by combining demand signals with infrastructure supply data.
• Establish monitoring, data-quality controls, and service-level indicators for capacity systems.
• Lead technical design reviews, establish engineering standards, and mentor other engineers.
• Diagnose complex production issues and improve the reliability, performance, and scalability of capacity-management services.

Requirements:

• BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
• 12+ years of software engineering experience building production systems.
• Strong programming experience in languages such as Python, Go, Java, or similar.
• Experience designing distributed systems, backend services, APIs, and data-processing pipelines.
• Experience working with cloud infrastructure, Kubernetes, compute platforms, or large-scale resource-management systems.
• Strong understanding of data modeling, system integration, observability, and production operations.
• Ability to turn ambiguous business and operational requirements into clear technical designs.
• Strong communication skills and experience working across engineering and non-engineering organizations.

Preferred Qualifications:

• Experience with GPU infrastructure, AI/ML platforms, schedulers, cluster management, or accelerated computing.
• Experience building capacity planning, inventory, supply-and-demand, quota, reservation, or resource-allocation systems.
• Familiarity with optimization, forecasting, simulation, or operations-research techniques.
• Experience running infrastructure across multiple cloud providers or geographically distributed environments and serving as a technical lead for cross-functional, business-critical initiatives.
• Demonstrated success improving infrastructure utilization while maintaining reliability and customer commitments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.

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The role is ideal for a creative, agile sales development leader who knows how to scale through managers without losing touch with buyers or frontline execution. In the near term, you are expected to be hands-on with BDRs and in the weeds. You will set the strategy, develop the team, and build an org that is adaptable to keep pace with the company's quick evolution.

Responsibilities

• Hire, onboard, and develop BDRs and BDR managers, establishing clear expectations for team performance, coaching quality, hiring, and talent development
• Own the organization's contribution to sourced pipeline and qualified opportunities, holding managers accountable for pipeline quality and conversion, not activity volume alone
• Set the sales development strategy across inbound and outbound motions, partnering with Sales leadership on coverage, capacity planning, account prioritization, and resource allocation
• Build a culture of creative experimentation across targeting, vertical messaging, channels, campaigns, and AI-native workflows; give managers room to test ideas, measure results, and scale what works
• Lead with agility as products, buyer behavior, and business priorities evolve, translating new information into clear decisions and fast execution without creating unnecessary process
• Coach managers to build vertical fluency and product expertise on their teams so BDRs can engage credible buyers and connect the right Perplexity offering to each account
• Establish the management operating rhythm: manager 1:1s, pipeline and conversion reviews, coaching calibration, talent reviews, and a consistent performance scoreboard across teams
• Partner with Sales, Marketing, RevOps, and Strategic Finance on campaign strategy, lead quality, routing, handoff standards, source attribution, headcount planning, and compensation design
• Stay close to calls, messaging, and buyer feedback to identify patterns and remove systemic blockers while empowering managers to own day-to-day execution
• Build a strong leadership bench and internal talent pipeline, developing BDRs into future Account Executives and high-performing managers into broader leadership roles

Qualifications

• 8+ years in SaaS sales or business development, including 3+ years in sales development leadership
• Proven track record of building or scaling a multi-team pipeline generation organization in a high-growth environment, with measurable improvements in qualified pipeline, conversion, and productivity
• Demonstrated ability to hire, coach, and develop managers, build accountability through leaders, and improve performance without becoming the team's day-to-day manager
• Creative approach to pipeline generation, with examples of original campaigns, messaging, channels, or workflows you tested and translated into repeatable results
• Demonstrated agility in ambiguous, fast-changing environments; able to make sound decisions with incomplete information, learn quickly, and change course when evidence warrants it
• Strong commercial judgment and experience aligning sales development priorities with enterprise sales cycles, buyer needs, and revenue goals; prior closing experience strongly preferred
• Data-driven operating style with experience in funnel analysis, capacity planning, forecasting pipeline contribution, and distinguishing meaningful outcomes from vanity metrics
• Hands-on experience with modern prospecting tools, AI-native sales workflows, and CRM systems such as Salesforce, with a clear point of view on where automation improves execution and where human judgment matters
• Exceptional written and verbal communication; able to align senior cross-functional stakeholders and translate strategy into clear priorities for managers and their teams
• Bachelor's degree or equivalent experience

Compensation

• $220K – $320K • Offers Equity

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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.

Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale.

You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity.

Key Responsibilities

• Shape the technical strategy and architecture for Anthropic's storage layers
• Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements
• Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives
• Translate user needs into scalable, achievable system designs and drive alignment
• Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it
• Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed
• Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives
• Plan and lead large migrations of critical workloads with user minimal disruption
• Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call
• Stay hands-on in code and production, including in the most critical and complex areas

Minimum Qualifications

• Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service
• Deep understanding of storage system fundamentals, including replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations
• Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on
• Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java
• Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency
• Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders

The annual compensation range for this role is $1-$2 USD.

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Anthropic is seeking a Staff+ Software Engineer to lead the development of its storage infrastructure. You will design, secure, operate, scale, govern, and optimize blob storage platforms at hyper-scale. Your expertise will guide high-stakes architectural decisions, ensuring stored data is securely and speedily accessible across varying infrastructures and regions.

Key Responsibilities

• Shape the technical strategy and architecture for Anthropic's storage layers
• Build strong relationships with users and partner teams to understand access patterns and unique requirements
• Partner with CSPs, networking, and datacenter teams on infrastructure primitives
• Translate user needs into scalable system designs and drive alignment
• Make principled tradeoffs across durability, availability, consistency, performance, security, and cost
• Break large problems into deliverable milestones and lead cross-functional teams
• Work across backend stacks, abstraction layers, and clients to provide simple interfaces
• Plan and lead large migrations of critical workloads with minimal disruption
• Participate in and improve operations, including SLOs, observability, capacity planning, and incident response
• Stay hands-on in code and production, especially in critical and complex areas

Requirements

• Experience designing, building, and operating large-scale distributed storage systems
• Deep understanding of storage system fundamentals, including replication, erasure coding, consistency models, and security approaches
• Experience serving as an owner, tech lead, or architect for large, complex infrastructure systems
• Strong software engineering fundamentals and hands-on coding ability in at least one systems language
• Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, and cost efficiency
• Strong written and verbal communication skills

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $207K – $445K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings,such as ChatGPT, our API platform, and new enterprise capabilities,to a global and diverse customer base. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products.

About the Role

We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches.

Responsibilities

• Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes.
• Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership.
• Package production signals into decision-ready data and evaluations that research teams can use to improve model behavior.
• Measure whether model, prompt, configuration, and product changes produce meaningful improvements in multimodal evaluations and user outcomes.
• Close gaps between research and production environments, including system prompts, sampling behavior, multimodal configurations, inference differences, and other sources of parity drift.
• Create a repeatable process for reproducing product failures with research partners and validating fixes in the shipped experience.
• Lead multimodal capacity planning by forecasting demand, translating it into GPU and serving needs, and managing headroom and reallocation tradeoffs for voice and image-generation workloads.
• Improve the tooling and operating processes used to plan, launch, and operate multimodal capabilities as demand and model behavior evolve.
• Coordinate targeted multilingual data collection across research, Human Data, and external vendors.
• Drive cross-functional programs that multimodal launches depend on, including multimodal actor recruitment and selection and voice-related product partnerships across vehicles, smart speakers, and headphone ecosystems.
• Create clear operating cadences, decision rights, metrics, risk management, and executive-ready communication across complex, time-sensitive programs.

Requirements

• Have led technically complex programs across machine learning, multimodal products, model evaluation, data pipelines, inference, capacity, or large-scale product infrastructure.
• Can move fluently between user-facing product behavior and the underlying model, evaluation, configuration, serving, and capacity systems.
• Have built mechanisms that convert production signals into prioritized evaluations, data, engineering work, and measurable product improvements.
• Can reason credibly about GPU demand, serving constraints, latency, reliability, quality, and launch tradeoffs.
• Have closed research-to-production gaps and can drive structured debugging and validation across teams with different environments and incentives.
• Turn manual or fragmented workflows into scalable tooling, clear ownership, and durable operating practices.
• Lead effectively across research, engineering, product, operations, Human Data, and external partners without relying on direct authority.
• Communicate crisply, make ambiguity tractable, and use metrics and evidence to drive decisions.
• Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace.
• Care about OpenAI's mission and about expanding responsible access to advanced AI systems.

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$225K – $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.

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

About the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team is responsible for translating OpenAI’s long-term infrastructure needs into executable data center capacity across self-build campuses, leased facilities, and strategic development partnerships.

The team works across capacity planning, power, land, real estate, design, construction, finance, and commercial execution to ensure the right infrastructure is available in the right locations and on the timelines required to support OpenAI’s growth.

About the Role

We are seeking a Data Center Shell Planning Lead to own portfolio-level planning for future data center shell capacity. This role will translate compute-demand forecasts, power availability, technical requirements, and development schedules into a clear strategy for where, when, and how much shell capacity OpenAI should secure or build.

You will evaluate capacity across self-build, lease, colocation, and development-partner pathways; identify future supply gaps; recommend campus and building phasing; and maintain the integrated plan connecting site readiness to construction, commissioning, and operational handoff.

This is an individual contributor lead role requiring strong analytical judgment, infrastructure-development fluency, and the ability to drive decisions across teams without relying on formal authority.

Key Responsibilities

• Develop and maintain a multi-year portfolio plan for data center shell capacity across priority geographies.
• Translate compute forecasts, IT-load requirements, rack-density assumptions, power schedules, cooling requirements, and deployment timelines into site and building requirements.
• Determine when shell capacity must be secured, designed, constructed, commissioned, and ready for technical fit-out.
• Integrate land, utility, interconnection, permitting, design, procurement, construction, commissioning, and network-readiness schedules into a single capacity view.
• Identify capacity gaps, schedule conflicts, stranded-capacity risks, and dependencies that could prevent infrastructure from becoming operational on time.
• Develop scenario models comparing self-build, lease, colocation, and strategic development-partner options.
• Evaluate delivery pathways based on schedule, cost, control, flexibility, reliability, scalability, and execution risk.
• Recommend campus, building, and utility phasing that preserves optionality while supporting near-term deployment requirements.
• Assess third-party proposals and determine whether proposed facilities, schedules, technical specifications, and commercial structures can satisfy OpenAI’s requirements.
• Partner with capacity planning, energy, real estate, site development, design, construction, commissioning, networking, finance, legal, and commercial teams.
• Establish planning assumptions, readiness criteria, decision gates, and governance for moving opportunities from portfolio planning into execution.
• Build dashboards and executive-ready materials that communicate capacity supply, demand, timing, assumptions, dependencies, and material risks.
• Support investment, build-versus-partner, geographic-prioritization, and portfolio-allocation decisions.
• Create repeatable planning frameworks and playbooks that allow OpenAI to scale shell-capacity decisions across regions and infrastructure generations.

Qualifications

• 8+ years of experience in data center development, infrastructure planning, capacity planning, real estate development, construction planning, program controls, or a related field.
• Experience developing or managing portfolio-level plans across multiple data center sites, buildings, or infrastructure programs.
• Strong understanding of the data center development lifecycle, including site readiness, power delivery, design, permitting, construction, commissioning, and operational turnover.
• Ability to translate technical and demand requirements into facility-capacity, schedule, and phasing decisions.
• Strong quantitative and scenario-modeling skills, including the ability to work with incomplete or changing assumptions.
• Experience evaluating competing delivery strategies and communicating cost, schedule, flexibility, and risk tradeoffs.
• Strong cross-functional program leadership and the ability to create alignment across technical, commercial, and operational organizations.
• Excellent written communication and executive-presentation skills.
• Comfort operating in a fast-moving environment where capacity requirements, technical assumptions, and delivery timelines may change quickly.

Preferred Skills

• Experience planning hyperscale data center campuses or infrastructure supporting high-density compute.
• Familiarity with powered-land development, utility and interconnection schedules, and campus-level power phasing.
• Experience evaluating self-build, build-to-suit, wholesale colocation, and third-party development models.
• Understanding of high-density electrical, mechanical, cooling, and network infrastructure requirements.
• Experience working with developers, capital partners, colocation providers, utilities, engineering firms, and construction organizations.
• Experience creating portfolio-planning systems, capacity dashboards, or executive decision frameworks for large infrastructure programs.

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As a Manufacturing Planner, you will own the critical bridge between engineering design, supply chain, and shop-floor execution for our advanced autonomous systems.

Responsibilities

• Manufacturing Planning & Execution: Direct the creation and maintenance of comprehensive manufacturing plans, oversee the translation of complex 2D/3D engineering drawings into clear work instructions, and optimize operational process routings in our MES.
• Bill of Materials Management: Own the strategy for creation and maintenance of the MBOM and as-built configuration management, ensuring accurate translation from the EBOM.
• Production Scheduling & Prioritization: Partner with Operations, Quality, and Supply Chain to establish build sequences, monitor order flow, and make sequencing and allocation decisions to support production ramp-up.
• Engineering Change Coordination: Manage engineering changes across active manufacturing plans, assessing impact on active MES routings, work-in-progress, and hardware delivery timelines.
• Cross-Functional Alignment: Serve as a primary interface between Design Engineering, Manufacturing Engineering, Supply Chain, Quality, and Production Operations to align on goals, resolve line blockers, and meet delivery commitments.
• DFX Producibility Input: Collaborate upstream with design teams during DFM and DFA reviews to ensure assembly sequences, build procedures, and routings are optimized for cost, quality, and scalability.
• Continuous Improvement: Analyze manufacturing discrepancies, scrap, and operational process data using first-principles problem-solving and root-cause analysis to enhance production efficiency and yield.
• Shop-Floor Support: Provide hands-on manufacturing planning support directly on the floor during New Product Introduction (NPI), prototype builds, and rate ramp-ups.

Required Qualifications

• 5+ years of experience in manufacturing planning, production planning, or production control within a complex electromechanical or hardware manufacturing environment.
• Demonstrated experience in a NPI environment, transitioning complex products from design into sustained, high-rate production.
• Demonstrated expertise in creating and maintaining MBOMs, building process routings, and translating EBOM structures.
• Hands-on experience with MES and Product Data Management (PDM) software.
• Proficiency in reading and interpreting complex engineering drawings, technical specifications, and process maps.
• Proven track record of navigating aggressive timelines, resource trade-offs, and prioritization decisions to support delivery commitments.
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications

• Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or a related technical discipline.
• Direct experience in the maritime, naval, or aerospace defense industry, with an understanding of associated quality and documentation standards (e.g., NAVSEA, MIL-SPEC).
• Hands-on experience with ERP systems (such as Oracle) for material and production planning.
• Experience with CAD and PLM software (e.g., Siemens NX, Teamcenter) and issue-tracking platforms (e.g., JIRA).
• Understanding of statistical process control (SPC), capacity planning, and lean manufacturing principles.

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As the Senior Engineering Manager for Capacity Engineering, you will lead the team that builds and operates these production systems. You'll set technical direction, grow and develop a team of senior and staff-level engineers, and be accountable for the reliability and correctness of surfaces that leadership, research engineering, inference, infrastructure, and finance all depend on.

The team's work spans three overlapping areas:

• Data platform , Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against.
• Planning and Assurance , Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation.
• Efficiency , Measuring and improving how effectively every major workload uses the hardware it runs on, across training, inference, and evals.

Key Responsibilities:

• Be hands-on, lead and grow the team. Hire, onboard, coach, and retain senior and staff engineers.
• Champion your internal customers. Engage with them directly, bring what you learn back into the roadmap, and lead the team in building tools people genuinely want to use.
• Own the roadmap. Translate company-level compute strategy into a prioritized engineering roadmap across data platform, planning and efficiency.
• Set the technical bar. Review designs, weigh in on architecture, and hold the team to production standards.
• Run the team as a product organization. Ensure the team gathers its own requirements, defines schema contracts, and designs for a wide range of consumers.
• Be the primary partner for cross-functional stakeholders. Work closely with infrastructure, inference, research engineering, and finance leadership to align on capacity decisions, efficiency targets, and spend.
• Drive operational excellence. Own reliability and incident response for load-bearing systems, establish SLOs and on-call practices, and continuously reduce operational toil.
• Scale the function. As the fleet diversifies, anticipate where the team needs to grow in headcount, skills, and systems , and make the case for it.

What You Bring:

• Experience managing software or infrastructure engineering teams, including hiring senior engineers, managing performance, and developing people into larger scope.
• A strong technical background in production systems , data engineering, infrastructure, distributed systems, or observability.
• Familiarity with at least one major cloud provider (AWS, GCP, or Azure), Kubernetes-based infrastructure, and modern observability stacks.
• A track record of setting and executing an engineering roadmap in an ambiguous, high-autonomy environment with many stakeholders and shifting priorities.
• Excellent communication skills.
• Comfort owning operational responsibility for systems the company depends on, including on-call and incident management.

Preferred Qualifications:

• Experience leading teams working on capacity planning, resource management, product engineering or FinOps at a hyperscaler or in a large-scale ML environment.
• Familiarity with accelerator infrastructure , GPU metrics, TPU utilization, or ML training and inference systems at the hardware level.
• Experience with multi-cloud billing and telemetry normalization.
• Experience building or leading internal data products with self-service access, schema contracts, and documentation.
• Background in scheduling, packing efficiency, or profiling-driven optimization of large distributed workloads.

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

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As the Senior Engineering Manager for Capacity Engineering, you will lead the team that builds and operates these production systems. You will set technical direction, grow and develop a team of senior and staff-level engineers, and be accountable for the reliability and correctness of surfaces that leadership, research engineering, inference, infrastructure, and finance all depend on.

The team's work spans three overlapping areas:

• Data platform: pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve BigQuery tables.
• Planning and Assurance: making the state of the fleet legible and actionable in real time, cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems.
• Efficiency: measuring and improving how effectively every major workload uses the hardware it runs on, across training, inference, and evals.

Key Responsibilities:

• Lead and grow the team, hire, onboard, coach, and retain senior and staff engineers.
• Champion internal customers, engage with them directly, and bring what you learn back into the roadmap.
• Own the roadmap, translate company-level compute strategy into a prioritized engineering roadmap.
• Set the technical bar, review designs, weigh in on architecture, and hold the team to production standards.
• Run the team as a product organization, ensure the team gathers its own requirements, defines schema contracts, and designs for a wide range of consumers.
• Be the primary partner for cross-functional stakeholders, work closely with infrastructure, inference, research engineering, and finance leadership.
• Drive operational excellence, own reliability and incident response for load-bearing systems.
• Scale the function, anticipate where the team needs to grow in headcount, skills, and systems.

What You Bring:

• Experience managing software or infrastructure engineering teams.
• Strong technical background in production systems, data engineering, infrastructure, distributed systems, or observability.
• Familiarity with at least one major cloud provider, Kubernetes-based infrastructure, and modern observability stacks.
• Track record of setting and executing an engineering roadmap in an ambiguous, high-autonomy environment.
• Excellent communication skills.
• Comfort owning operational responsibility for systems the company depends on.

Preferred Qualifications:

• Experience leading teams working on capacity planning, resource management, product engineering, or FinOps at a hyperscaler or in a large-scale ML environment.
• Familiarity with accelerator infrastructure, GPU metrics, TPU utilization, or ML training and inference systems.
• Experience with multi-cloud billing and telemetry normalization.
• Experience building or leading internal data products with self-service access, schema contracts, and documentation.
• Background in scheduling, packing efficiency, or profiling-driven optimization of large distributed workloads.

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

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Cloudflare is scaling one of the largest global networks on the Internet, and capacity planning is what keeps that growth ahead of demand. As an Infrastructure Network & Supply Planner on our Infrastructure Capacity Planning team you'll build the products, tools, and AI agents that turn growth and demand forecasts into scalable, execution-ready infrastructure expansions, ensuring the right capacity is in the right place, at the right time and cost, in the shortest time possible.

Responsibilities

Infrastructure Capacity & Expansion Planning

• Translate demand forecasts into infrastructure capacity plans that support business growth, aligning hardware deployments with performance, cost, and timeline targets.
• Ensure infrastructure readiness across space, power, connectivity, and hardware availability, identifying capacity constraints early and coordinating mitigation.

Deployment Planning & Execution Coordination

• Build quarterly and weekly deployment plans that are realistic, balanced, and optimized for execution efficiency across operations, logistics, integration partners, and engineering teams.
• Track progress, resolve blockers, and maintain deployment momentum across the global fleet.

Supply, Inventory & Lifecycle Readiness

• Partner with Procurement and Data Center teams to ensure hardware and resources are available at the right time and locations, and manage inventory to balance availability, cost efficiency, and operational risk.
• Support hardware refresh and asset lifecycle planning, and align infrastructure investments with budget and growth plans alongside Finance.

AI-First Products, Automation & Continuous Improvement

• Design, build, and ship internal products , forecasting models, dashboards, planning systems, and automated workflows , using AI/agentic tooling to structure messy data, run scenario analyses, and improve planning accuracy.
• Identify high-leverage opportunities to automate repetitive work, introduce new tools and methodologies, and continuously improve how planning and deployment operate at scale.

Cross-Functional Collaboration

• Act as a central layer across planning, operations, engineering, logistics, procurement, and finance to keep Cloudflare's global deployments moving smoothly.

Requirements

• Experience in capacity planning, infrastructure planning, production/operations planning, supply planning, or a related technical planning role.
• Strong analytical and problem-solving skills, with experience across complex operational systems and managing multiple priorities in fast-paced environments.
• Hands-on experience building tools, automation, or internal products.
• Fluency with AI tools in daily work, and a genuine appetite to use and create AI/agentic tooling to scale decision-making and eliminate manual toil.
• Excellent communication and stakeholder-management skills.

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At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

As a Senior Manager, Workforce Management on the Customer Experience team, you'll lead the evolution of WFM from a technical support function into a strategic, AI-informed capability that shapes how Coinbase plans, staffs, and scales its operations.

Responsibilities

• Own AI-informed capacity planning across CX Operations, incorporating hybrid human-AI staffing models, scenario planning, and automation-driven productivity assumptions into workforce strategy for existing lines of business and new product launches.
• Serve as the senior WFM voice with executive and CX leadership, distilling forecast risk, capacity tradeoffs, and regulatory readiness into clear, decision-ready narratives that drive action without hand-holding.
• Build cross-functional partnerships with Finance, Product, Legal, and Compliance to align on workforce priorities, cost models, OpEx forecasts, and resourcing tradeoffs across competing stakeholder demands.
• Design multi-scenario staffing plans that model tradeoffs between service levels, employee experience, operational flexibility, cost effectiveness, and AI/automation leverage.
• Identify and drive strategic opportunities across CX Operations by gathering data, building business cases, securing cross-functional buy-in, and leading initiatives from concept through execution.
• Extend WFM strategic expertise to adjacent teams (Risk and Controls, Programs, P&E), operating as a center of excellence for resource planning methodology across the broader organization.

Required Skills and Experience

• 5+ years in senior Workforce Management, Operations, or Strategic Workforce Planning roles with direct accountability for regulated or compliance-driven operations in financial services or fintech.
• Demonstrated ability to build partnerships, drive alignment, and influence decisions across Finance, Legal, Compliance, Ops, and senior leadership without positional authority.
• Expertise in capacity planning, forecasting, and scenario modeling in complex back-office environments, including designing staffing models that incorporate AI/automation-driven productivity assumptions.
• Experience operating in or transitioning a team toward an AI-informed workforce model where AI agents contribute to operational output.
• Proficiency with modern WFM platforms (e.g., Assembled or comparable), BI tools (e.g., Looker, Hex), and sufficient SQL fluency to independently query and validate workforce data.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Benefits

• Base salary varies by location (see range below).
• Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

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Responsibilities:

• Generate weekly/monthly manufacturing plans for engine and transmission plants balancing facility and supply base capacities while managing targeted inventory levels.
• Lead SPCPS process support for managing powertrain plant capacities (both manufacturing and supply base) in support of vehicle production programs.
• Implement incremental and mix shift opportunities through demand v. capacity assessments, what-if scenarios, etc. to fully utilize / optimize powertrain supply base and plant capacities.
• Work closely with Premium Logistics Management, Ford Purchasing, Powertrain Plant MP&L, and Supply Base personnel to manage ongoing constraint issues. Support meetings and work with plants to optimize schedules based on supply availability while enabling optimal mix requirements to minimize risk to Production Program.
• Work with plants to address smoothing opportunities, down weeks/days, and stockpiling to support customer demand.
• Address changes required to support near-term production actions.
• Communicate to cross functional teams when plans are unsupportable and develop action plans to resolve.
• Maintain data in several sources CMMS, DPR, Excel to support manufacturing plans and communicate companywide the summary of production and manufacturing time.

Qualifications:

• Bachelor Degree or related degree; or foreign equivalency degree, or a combination of equivalent experience and education.
• 3 + years of experience within a manufacturing environment with capacity planning
• Strong written and verbal communication skills
• Excellent analytical skills
• Value stream mapping understanding
• Experience with SAP
• Extraordinary teamwork and collaborative skills
• Excellent relationship building/negotiating skills
• Strong Excel skills

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Salary:

• Salary grade 6: $74,300-$124,500
• Salary grade 7: $86,600-$144,900
• Salary grade 8: $99,100-$166,200

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We're hiring a TPM leader to own program management across this ecosystem from compute provisioning through to production workloads. You'll report to the Head of TPM, partnering with engineering leaders on technical strategy, roadmapping, and aligning TPM support.

You'll drive 2–3 critical programs while leading your team. This role requires experience at scale to build and scale the team to support Anthropic's rapid growth.

Responsibilities:

• IC Program Leadership:
• Own and drive 2–3 high-priority programs across infrastructure
• Run programs, including datacenter bring-up timelines, capacity scaling plans, and infrastructure migrations
• Build processes and playbooks as you go
• Earn credibility with engineering leads through solid execution

• Team Building & Development:
• Set the standard for good TPM work in this domain
• Coach and develop TPMs
• Transition programs to your team as you hire
• Grow the team with excellent TPMs

• Planning & Prioritization:
• Work with engineering leads to identify work that would most benefit from TPM support
• Make tradeoffs about what to staff vs. what to skip
• Maintain portfolio-level visibility across programs
• Represent the team in planning cycles and leadership reviews

• Cross-functional Coordination:
• Coordinate across Infrastructure and partner teams
• Drive alignment on programs that cross organizational boundaries
• Own executive communication on program status, risks, and resource needs

Requirements:

• 10+ years of experience in technical program management, with 7+ years directly managing TPMs
• Experience building a team or function from scratch
• Scaled TPM teams to support rapidly-growing company environments
• Worked across physical and software infrastructure
• Ran large-scale compute or infrastructure programs
• Can communicate complex programs clearly to senior leadership

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

Salary Range: $365,000 - $565,000 USD per year

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The Community You Will Join: The Chief Business Officer organization plays a pivotal role in driving the company’s growth and expansion efforts worldwide.

The difference you will make: The Airbnb Brazil team is looking for a Senior Community Growth Manager to launch and manage host growth programs in Brazil.

Responsibilities:

• Program Launches: Supporting recruitment and onboarding education for new co-hosts, Ambassadors, and other hosts in these programs
• Analyzing regional and territory business trends and outcomes to identify and scale growth opportunities
• Designing, piloting, and testing new levers that support host growth at scale
• Developing and maintaining a community forum to increase reach and feedback loops for program, product support and community support
• Execution of workshops, events, webinars, partnerships and other channels to build an integrated strategy
• Adapting central programs to support regional objectives

Community Management:

• Design and operationalize effective email and scaled communication campaigns to support lifecycle engagement and education
• Serve as the primary point of contact for hosts in the Community Powered Growth programs. Advising and supporting them as they build their property management businesses
• Building sentiment and feedback channels to size and package insights for product and central programs
• Identify and pilot opportunities to increase overall host success

Business Strategy:

• You will be responsible for revenue and host growth goals
• You will develop new programs and initiatives
• You will implement plans and evaluate overall efficacy to inform business initiatives
• You will lead through inspiration, influence, and our core value of belonging

Outcomes and Impact:

• You will contribute meaningfully to a strategic outcome for Airbnb to unlock the next generation of hosts
• You will pioneer a new growth model and structure for Airbnb.
• You will support the development, execution and scale of pilots to accelerate evolving business verticals
• Act as a change agent and effectively utilize change management methodologies when deploying solutions and processes.
• Lead resource development for the community with engaging and high impact communications
• Develop deep knowledge of your assigned geographic markets and become the go-to source relating to local, trends and market dynamics for internal and external partners
• Support online and offline community events (webinars, meetups, and workshops)

Your expertise:

• 8+ years experience in Sales, Business Operations, or Business Development in Tech, Real Estate/Property Management, or Travel
• Strategic thinking; proven ability to drive growth and to own growth OKRs while exceeding goals.
• Entrepreneurial mindset; resourceful and goal driven.
• Strong project management skills and demonstrated experience leading strategic programs and processes.
• Analytical and problem-solving skills; able to forecast, model, and optimize growth tactics.
• Excellent communication and interpersonal skills with strong business acumen.
• Strong empathy for the community and passion for revenue and growth.
• Deep understanding of value drivers in recurring revenue business models.
• Expert with Excel, analytical tools (SQL), and methodologies like capacity planning, forecasting, and general modeling.
• Fluency in English, Portuguese, and Spanish, spoken and written.

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You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably. This is a deeply technical, hands-on role.

Responsibilities:

• Define and implement SLIs, SLOs, and other measures of service reliability
• Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services
• Lead technical response to complex incidents and drive root-cause analysis through resolution
• Identify recurring failure modes and work with engineering teams to eliminate them
• Improve system resilience through automation, testing, capacity planning, and failure recovery
• Develop tooling and automation that reduces manual operational work
• Partner with product and platform teams to incorporate reliability requirements into system design
• Establish incident response practices that improve detection, diagnosis, communication, and recovery
• Mentor product engineers and drive adoption of strong reliability and operational practices
• Mentor teammates in SRE and Cloud Engineering
• Define and manage short-and-long term SRE roadmap, distributing work across teammates

Requirements:

• 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields
• Experience operating production services with defined availability and reliability requirements
• Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices
• Experience designing and operating infrastructure in AWS or another major cloud environment
• Experience with infrastructure-as-code and automated infrastructure provisioning
• Experience supporting containerized applications and distributed systems
• Experience developing operational tooling or automation using Python, Go, or a similar language
• Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services
• Experience leading incident response and root-cause analysis across engineering teams
• Experience leading and executing on technical vision of a team over multi-quarter timelines

Preferred Qualifications:

• Experience establishing or maturing an SRE function within an engineering organization
• Experience with Kubernetes and cloud-native observability systems
• Experience operating systems in regulated or compliance-driven environments
• Experience with capacity planning, performance analysis, and cloud cost management
• Background supporting shared infrastructure across multiple products or engineering organizations
• Experience with building roadmaps in ticketing systems
• Experience acting as a mentor for other engineers

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As the SRE Lead, you will define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably. You will work with Cloud Engineering and product teams to investigate complex failures, improve systems and tooling, and turn lessons from incidents into engineering improvements.

Responsibilities:

• Define and implement SLIs, SLOs, and other measures of service reliability
• Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services
• Lead technical response to complex incidents and drive root-cause analysis through resolution
• Identify recurring failure modes and work with engineering teams to eliminate them
• Improve system resilience through automation, testing, capacity planning, and failure recovery
• Develop tooling and automation that reduces manual operational work
• Partner with product and platform teams to incorporate reliability requirements into system design
• Establish incident response practices that improve detection, diagnosis, communication, and recovery
• Mentor product engineers and drive adoption of strong reliability and operational practices
• Mentor teammates in SRE and Cloud Engineering
• Define and manage short-and-long term SRE roadmap, distributing work across teammates

Required Qualifications:

• 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields
• Experience operating production services with defined availability and reliability requirements
• Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices
• Experience designing and operating infrastructure in AWS or another major cloud environment
• Experience with infrastructure-as-code and automated infrastructure provisioning
• Experience supporting containerized applications and distributed systems
• Experience developing operational tooling or automation using Python, Go, or a similar language
• Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services
• Experience leading incident response and root-cause analysis across engineering teams
• Experience leading and executing on technical vision of a team over multi-quarter timelines

Preferred Qualifications:

• Experience establishing or maturing an SRE function within an engineering organization
• Experience with Kubernetes and cloud-native observability systems
• Experience operating systems in regulated or compliance-driven environments
• Experience with capacity planning, performance analysis, and cloud cost management
• Background supporting shared infrastructure across multiple products or engineering organizations
• Experience with building roadmaps in ticketing systems
• Experience acting as a mentor for other engineers

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $257K – $445K, with generous equity, performance-related bonuses for eligible employees, and the following benefits:

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

About the Team

The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings,such as ChatGPT, our API platform, and new enterprise capabilities,to a global and diverse customer base. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect.

About the Role

We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own model deployment beyond capacity by working with cross-functional teams across research, post-training, inference, and product to own mainline model deployment.

Responsibilities

• Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations.
• Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity.
• Partner with product, research, inference, fleet, and capacity teams to develop scenarios, surface tradeoffs, and drive timely allocation decisions.
• Lead model deployment readiness and rollout planning, including serving-capacity allocation, launch sequencing, validation, and operational handoffs.
• Establish clear readiness gates, risk reviews, rollback criteria, and escalation paths for model deployments.
• Drive launch coordination through deployment and post-launch learning, turning recurring gaps and manual work into scalable tooling and operating practices.
• Define and operationalize metrics for forecast accuracy, capacity utilization and headroom, deployment velocity, reliability, latency, quality, and user impact.
• Create concise, decision-ready communications that make dependencies, risks, capacity constraints, and launch choices clear to technical and product leaders.

Requirements

• Have led complex technical programs in infrastructure, distributed systems, capacity planning, model serving, or large-scale deployment environments.
• Can reason credibly about demand, supply, headroom, reliability, latency, and quality tradeoffs, and translate them into executable plans.
• Have built operating mechanisms or tooling that replaced fragmented, manual workflows with scalable systems and clear ownership.
• Are effective in high-ambiguity, constrained environments where priorities change and decisions require explicit tradeoffs.
• Build alignment across research, engineering, product, finance or capacity planning, and operations without relying on direct authority.
• Use metrics to guide decisions, identify bottlenecks, and demonstrate measurable improvements in throughput, predictability, or reliability.
• Communicate with precision and can move comfortably between technical detail, operational execution, and executive-level decisions.
• Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace.
• Care about OpenAI's mission and about expanding responsible access to advanced AI systems.

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As a Strategic Deals Lead, you will help shape Anthropic's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. As Anthropic scales its own internal infrastructure footprint, you will originate, structure, negotiate, and close the deals that put its strategy into effect.

Operating at the intersection of infrastructure strategy, technology evaluation, commercial deal-making, and financing, you will identify and execute opportunities that expand Anthropic's access to the compute, infrastructure, and technologies required to train and serve frontier AI systems.

Securing that infrastructure at scale requires sophisticated deal-making with some of the world's largest technology companies, and increasingly it requires connecting deal structure with financing. You'll go deeper into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and connecting deal structure to financing.

You will work closely with engineering, infrastructure, finance, legal, and executive leadership to evaluate emerging technologies, assess build-versus-buy decisions, structure and negotiate the multi-layered silicon transactions that secure access to compute at the chip level and cultivate strategic relationships across the AI ecosystem.

We are looking for people who combine a deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, financial acumen, and the negotiating skill to close complex agreements at the terms and timelines Anthropic requires.

Key Responsibilities

• Develop and execute strategies that expand Anthropic's access to compute, infrastructure, and emerging AI technologies, and translate those strategies into a pipeline of executable deals.
• Lead the full deal lifecycle for complex infrastructure transactions, from opportunity identification and term sheet development through negotiation, execution, and close.
• Structure creative partnerships that help mitigate strategic supply chain challenges, support emerging technologies, develop ecosystem initiatives, and drive other value propositions for Anthropic.
• Bring capital markets and financial thinking to infrastructure transactions, including supporting project finance, credit and residual value guarantees, vendor financing, equipment leasing, and other structures that connect financing to our compute buildout.
• Develop and evaluate commercial frameworks and compare supply options and architectures across deal structures and deal terms, including partnering with finance teams on deal economics and analysis.
• Provide a clear strategic view of a deal, including value proposition, efficiency metrics, trade-offs, and risk-adjusted outcomes.
• Partner with engineering, procurement / sourcing, infrastructure teams, and corporate development to understand future technology strategy and workloads and translate requirements into investment and commercial strategies.
• Build and maintain senior-level relationships across the AI infrastructure ecosystem.
• Drive internal alignment on transaction terms, risk parameters, and strategic priorities with Legal, Financing, and Engineering.
• Manage the internal approval path for large commitments including deal strategy, deal economics, risk analysis, and capital at risk.
• Track market, technology, and financing developments across AI infrastructure, including supply constraints and how competitors are securing capacity, and turn them into clear recommendations and deals for senior leadership.

Minimum Qualifications

• Experience in AI infrastructure including on-premise capacity building, cloud, semiconductors, data centers, backbone, networking, or adjacent technology ecosystems.
• Background in areas such as strategic partnerships, hyperscaler deal structuring, network investments, investment banking, private equity, or infrastructure investments.
• Deep understanding of the compute ecosystem, infrastructure economics, and trends that drive the AI Infrastructure space.
• Demonstrated track record of structuring, negotiating, and closing complex, high-value technology transactions or strategic partnerships as a principal and lead negotiator.
• Working understanding of capital markets, project financing, and structuring financial transactions alongside commercial terms.
• Experience evaluating emerging technologies, developing long-term infrastructure or ecosystem strategies, and converting those strategies into signed agreements.
• Ability to work effectively with technical teams and translate complex engineering concepts into deal structures and strategic business recommendations.
• Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership.
• Strong analytical and strategic thinking skills, with the ability to operate autonomously in ambiguous and rapidly evolving environments.
• Comfort operating in fast-moving, ambiguous environments where market structures are evolving.

Preferred Qualifications

• 8-10+ years of experience in strategic deals, corporate development, investment banking, or business development at technology companies, hyperscalers, semiconductor companies, or financial institutions, with direct transactional ownership.
• Demonstrated experience managing multiple high-value transactions simultaneously.
• Familiarity with requirements and process for AI Infrastructure buildouts including AI accelerators, the overall silicon ecosystem, and supply chain.
• Direct experience in multi-layered silicon transactions.
• Familiarity with AI/ML infrastructure requirements, including training cluster design, network topology, and capacity planning.
• Experience with vendor financing, equipment leasing, structured or project finance, or capital markets transactions applied to infrastructure procurement.
• A passion for the future of AI infrastructure and for Anthropic's mission of ensuring safe AI developments.

The annual compensation range for this role is $265,000-$325,000 USD.

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As a Strategic Deals Lead, you will help shape Anthropic's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships.

You will originate, structure, negotiate, and close the deals that put its strategy into effect. Operating at the intersection of infrastructure strategy, technology evaluation, commercial deal-making, and financing, you will identify and execute opportunities that expand Anthropic's access to the compute, infrastructure, and technologies required to train and serve frontier AI systems.

Key Responsibilities

• Develop and execute strategies that expand Anthropic's access to compute, infrastructure, and emerging AI technologies, and translate those strategies into a pipeline of executable deals.
• Lead the full deal lifecycle for complex infrastructure transactions, from opportunity identification and term sheet development through negotiation, execution, and close.
• Structure creative partnerships that help mitigate strategic supply chain challenges, support emerging technologies, develop ecosystem initiatives, and drive other value propositions for Anthropic.
• Bring capital markets and financial thinking to infrastructure transactions, including supporting project finance, credit and residual value guarantees, vendor financing, equipment leasing, and other structures that connect financing to our compute buildout.
• Develop and evaluate commercial frameworks and compare supply options and architectures across deal structures and deal terms, including partnering with finance teams on deal economics and analysis.
• Provide a clear strategic view of a deal, including value proposition, efficiency metrics, trade-offs, and risk-adjusted outcomes.
• Partner with engineering, procurement / sourcing, infrastructure teams, and corporate development to understand future technology strategy and workloads and translate requirements into investment and commercial strategies.
• Build and maintain senior-level relationships across the AI infrastructure ecosystem.
• Drive internal alignment on transaction terms, risk parameters, and strategic priorities with Legal, Financing, and Engineering.
• Manage the internal approval path for large commitments including deal strategy, deal economics, risk analysis, and capital at risk.
• Track market, technology, and financing developments across AI infrastructure, including supply constraints and how competitors are securing capacity, and turn them into clear recommendations and deals for senior leadership.

Minimum Qualifications

• Experience in AI infrastructure including on-premise capacity building, cloud, semiconductors, data centers, backbone, networking, or adjacent technology ecosystems.
• Background in areas such as strategic partnerships, hyperscaler deal structuring, network investments, investment banking, private equity, or infrastructure investments.
• Deep understanding of the compute ecosystem, infrastructure economics, and trends that drive the AI Infrastructure space.
• Demonstrated track record of structuring, negotiating, and closing complex, high-value technology transactions or strategic partnerships as a principal and lead negotiator.
• Working understanding of capital markets, project financing, and structuring financial transactions alongside commercial terms.
• Experience evaluating emerging technologies, developing long-term infrastructure or ecosystem strategies, and converting those strategies into signed agreements.
• Ability to work effectively with technical teams and translate complex engineering concepts into deal structures and strategic business recommendations.
• Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership.
• Strong analytical and strategic thinking skills, with the ability to operate autonomously in ambiguous and rapidly evolving environments.
• Comfort operating in fast-moving, ambiguous environments where market structures are evolving.

Preferred Qualifications

• 8-10+ years of experience in strategic deals, corporate development, investment banking, or business development at technology companies, hyperscalers, semiconductor companies, or financial institutions, with direct transactional ownership.
• Demonstrated experience managing multiple high-value transactions simultaneously.
• Familiarity with requirements and process for AI Infrastructure buildouts including AI accelerators, the overall silicon ecosystem, and supply chain.
• Direct experience in multi-layered silicon transactions.
• Familiarity with AI/ML infrastructure requirements, including training cluster design, network topology, and capacity planning.
• Experience with vendor financing, equipment leasing, structured or project finance, or capital markets transactions applied to infrastructure procurement.
• A passion for the future of AI infrastructure and for Anthropic's mission of ensuring safe AI developments.

The annual compensation range for this role is $265,000-$325,000 USD.

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As the Senior Manager, Storage Engineering, you will lead a team of storage engineers and collaborate across NVIDIA's global IT organization to ensure that our storage infrastructure scales with the company's relentless pace of innovation.

Responsibilities:

• Lead petabyte-scale storage deployments across NVIDIA's on-premises data centers and major cloud service providers (CSPs), owning the end-to-end lifecycle from design and procurement through physical installation, configuration, and production hand-off.
• Engineer and maintain automation pipelines that integrate deployed storage systems with interdependent tooling, ensuring a single source of truth across the entire storage fleet.
• Define and drive continuous improvement initiatives focused on data center efficiency, optimizing DC power consumption, and minimizing rack space footprint.
• Develop and maintain self-service tools and dashboards that enable internal customers to track real-time storage capacity availability, consumption trends, and projected growth.
• Coordinate and partner with partner infrastructure teams to present a unified capacity view, resolve cross-domain bottlenecks, and contribute to NVIDIA's holistic infrastructure capacity planning process.
• Manage vendor relationships and lead hardware refresh and EOL planning cycles across the storage portfolio.
• Recruit, mentor, and grow a team of storage deployment engineers; establish engineering standards, runbooks, and on-call practices to ensure a high operational bar.
• Partner with architecture and security teams to evaluate new storage technologies, drive POCs, and translate findings into production-ready deployment standards.
• Own and engineer the full hardware and data lifecycle, ensuring compliance, auditability, and zero unplanned data loss at every stage.
• Define and govern data lifecycle management policies in close collaboration with key stakeholders across Chip Design and Software Engineering teams.

Requirements:

• BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
• 12+ years of overall experience in large-scale storage architecture, operations, production engineering, or infrastructure.
• 6+ years of people management or technical leadership experience with storage, infrastructure, or site reliability teams.
• Deep, protocol-level knowledge of enterprise storage systems spanning block, file, object, and high-performance parallel file systems.
• Hands-on experience deploying and operating solutions from multiple major storage vendors.
• Solid understanding of storage hardware internals, drive types and endurance profiles, controller architectures, shelf and enclosure design, cabling standards, and failure domain planning.
• Working knowledge of bare-metal server hardware and data center network hardware relevant to storage connectivity.
• In-depth expertise in observability tooling, building and maintaining Prometheus exporters, Grafana dashboards, and alerting rulesets.
• Strong configuration management skills using Ansible for automated provisioning and day-2 operations of storage systems at scale.
• Scripting and automation proficiency in Python and/or Bash; experience integrating with REST APIs.
• Proven track record of managing large-scale, multi-vendor storage environments in a fast-paced, high-availability production setting.

Benefits:

• Equity
• Benefits

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As a consultant, you will lead Fit-to-Template workshops and facilitate discussions with business stakeholders to align business processes with SAP S/4HANA best practices. You will analyze business requirements and translate them into SAP S/4HANA ePPDS and Production Planning solutions. Your responsibilities will also include demonstrating end-to-end SAP S/4HANA ePPDS and PP processes during Show-and-Tell workshops and solution walkthroughs, providing functional expertise and solution guidance for production planning, scheduling, capacity planning, and manufacturing execution processes.

Key responsibilities:

• Lead Fit-to-Template workshops and facilitate discussions with business stakeholders
• Analyze business requirements and translate them into SAP S/4HANA ePPDS and Production Planning solutions
• Demonstrate end-to-end SAP S/4HANA ePPDS and PP processes during Show-and-Tell workshops and solution walkthroughs
• Provide functional expertise and solution guidance for production planning, scheduling, capacity planning, and manufacturing execution processes
• Configure and support SAP S/4HANA ePPDS and PP functionalities in accordance with business requirements and template standards
• Identify process gaps, assess business impacts, and recommend optimal solution approaches
• Prepare functional specifications and collaborate with technical teams for custom developments, enhancements, and integrations
• Support integration activities across Manufacturing, Procurement, Inventory Management, Quality Management, and other SAP modules
• Assist in the preparation and execution of Integration Testing (ITC), System Integration Testing (SIT), and User Acceptance Testing (UAT)
• Support data migration activities, including data cleansing, validation, reconciliation, and cutover planning
• Provide defect resolution support during testing cycles and hypercare phases
• Develop functional documentation, process flows, configuration documents, test scripts, and training materials
• Conduct knowledge transfer sessions and end-user training to ensure successful business adoption
• Work closely with business users, project managers, and cross-functional teams to deliver project milestones within agreed timelines
• Provide post-go-live support and continuous improvement recommendations for production planning and scheduling processes

Requirements:

• Broad business skill set including stakeholder management, problem-solving, and resilience
• Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
• Excellent interpersonal skills and strong written and verbal communication skills in country's official language(s) (C2 proficiency) and English (C2 proficiency)
• Hands-on experience in SAP S/4HANA ePPDS implementation projects with 3+ end to end implementation experience
• Strong understanding of Production Planning, Detailed Scheduling, Capacity Planning, MRP, and Manufacturing processes
• Experience in Fit-to-Standard/Fit-to-Template workshop facilitation
• Experience with data migration, testing, cutover, and hypercare support activities
• Strong stakeholder management and communication skills

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Responsibilities:

• Lead Fit-to-Template workshops and facilitate discussions with business stakeholders to align business processes with SAP S/4HANA best practices.
• Analyze business requirements and translate them into SAP S/4HANA ePPDS and Production Planning solutions.
• Demonstrate end-to-end SAP S/4HANA ePPDS and PP processes during Show-and-Tell workshops and solution walkthroughs.
• Provide functional expertise and solution guidance for production planning, scheduling, capacity planning, and manufacturing execution processes.
• Configure and support SAP S/4HANA ePPDS and PP functionalities in accordance with business requirements and template standards.
• Identify process gaps, assess business impacts, and recommend optimal solution approaches.
• Prepare functional specifications and collaborate with technical teams for custom developments, enhancements, and integrations.
• Support integration activities across Manufacturing, Procurement, Inventory Management, Quality Management, and other SAP modules.
• Assist in the preparation and execution of Integration Testing (ITC), System Integration Testing (SIT), and User Acceptance Testing (UAT).
• Support data migration activities, including data cleansing, validation, reconciliation, and cutover planning.
• Provide defect resolution support during testing cycles and hypercare phases.
• Develop functional documentation, process flows, configuration documents, test scripts, and training materials.
• Conduct knowledge transfer sessions and end-user training to ensure successful business adoption.
• Work closely with business users, project managers, and cross-functional teams to deliver project milestones within agreed timelines.
• Provide post-go-live support and continuous improvement recommendations for production planning and scheduling processes.

Requirements:

• Broad business skill set including stakeholder management, problem-solving, and resilience.
• Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences.
• Excellent interpersonal skills and strong written and verbal communication skills in country's official language(s) (C2 proficiency) and English (C2 proficiency).
• Hands-on experience in SAP S/4HANA ePPDS implementation projects with 3+ end-to-end implementation experience.
• Strong understanding of Production Planning, Detailed Scheduling, Capacity Planning, MRP, and Manufacturing processes.
• Experience in Fit-to-Standard/Fit-to-Template workshop facilitation.
• Experience with data migration, testing, cutover, and hypercare support activities.
• Strong stakeholder management and communication skills.

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As a consultant, you will lead Fit-to-Template workshops and facilitate discussions with business stakeholders to align business processes with SAP S/4HANA best practices.

Key responsibilities:

• Analyze business requirements and translate them into SAP S/4HANA ePPDS and Production Planning solutions.
• Demonstrate end-to-end SAP S/4HANA ePPDS and PP processes during Show-and-Tell workshops and solution walkthroughs.
• Provide functional expertise and solution guidance for production planning, scheduling, capacity planning, and manufacturing execution processes.
• Configure and support SAP S/4HANA ePPDS and PP functionalities in accordance with business requirements and template standards.
• Identify process gaps, assess business impacts, and recommend optimal solution approaches.
• Prepare functional specifications and collaborate with technical teams for custom developments, enhancements, and integrations.
• Support integration activities across Manufacturing, Procurement, Inventory Management, Quality Management, and other SAP modules.
• Assist in the preparation and execution of Integration Testing (ITC), System Integration Testing (SIT), and User Acceptance Testing (UAT).
• Support data migration activities, including data cleansing, validation, reconciliation, and cutover planning.
• Provide defect resolution support during testing cycles and hypercare phases.
• Develop functional documentation, process flows, configuration documents, test scripts, and training materials.
• Conduct knowledge transfer sessions and end-user training to ensure successful business adoption.
• Work closely with business users, project managers, and cross-functional teams to deliver project milestones within agreed timelines.
• Provide post-go-live support and continuous improvement recommendations for production planning and scheduling processes.

Requirements:

• Broad business skill set including stakeholder management, problem-solving, and resilience.
• Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences.
• Excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency).
• Hands-on experience in SAP S/4HANA ePPDS implementation projects with 3+ end to end implementation experience.
• Strong understanding of Production Planning, Detailed Scheduling, Capacity Planning, MRP, and Manufacturing processes.
• Experience in Fit-to-Standard/Fit-to-Template workshop facilitation.
• Experience with data migration, testing, cutover, and hypercare support activities.
• Strong stakeholder management and communication skills.

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The Anduril Rocket Motor Systems (ARMS) team is on a mission to build next-generation solid rocket motors for a safer, more connected world.

The Planning team is seeking a world-class Senior ERP & Scheduling Specialist to join our team. The role has an integral role at Anduril, having material flow responsibility throughout the entire value chain, from raw materials to finished goods shipped to customers.

Material Planning

• Clear-To-Build Planning: Evaluate Engineering and Manufacturing Bills of Material (BOMs), and program demand for final assemblies to generate accurate, long-range material signals via Purchase Requisitions to align with known program demand and published production schedules.
• Demand & Supply Alignment: Partner with Engineering, Configuration Managers, Program Managers, Procurement, and Production Schedulers to ensure all engineering activity and procurement effort completion supports demand and production schedule timelines.
• Shortage Mitigation & Inventory Strategy: Proactively identify material constraints, manage critical shortage escalation processes, and establish optimized inventory levels (safety stock, min/max) to ensure uninterrupted production.
• KPI & Material Governance: Establish, monitor, and drive continuous improvement on key performance indicators (KPIs) focused on material availability, schedule attainment, inventory accuracy, and on-time delivery (OTD).

Supply Planning

• Material Orchestration: Coordinate closely with the Production Scheduler and Warehouse to assist precise product prestaging, picking, and kitting requirements.
• Work Order Lifecycle Management: Own the generation, scheduling, and management of manufacturing work orders. Manage aging work orders and dynamically adjust schedule priorities based on real-time material availability, capacity, and production changes.
• Traceability & Compliance: Maintain robust serialized parts and material traceability using system tools and processes within the ERP to meet rigorous Quality Management System (QMS), defense, and HazMat standards.

ERP & MRP System

• MRP: Act as the owner of material planning logic in MRP: ensure all lead times, reorder points, and master data parameters under the items master configuration and planning applications are regularly evaluated for accuracy.
• Planning Continuous Improvement: Collaborate with Procurement, Engineering, and Production to continuously refine ERP workflows, ensuring the system is highly effective for MRP.
• SME Support & Training: Troubleshoot MRP-related issues for end-users, design systemic solutions, and provide training to help build Planning Department capability.

Required Qualifications

• Experience & Education: 5+ years of experience in Material Planning and/or Supply Planning. Academic coursework or a technical degree in Supply Chain Management, Operations Research, Engineering, or a related field.
• Advanced Analytics: Experience utilizing AI-driven data tools to build custom tracking material requirements, inventory health, and scheduling metrics.
• Planning: Must have experience with ERP/MRP systems. Understanding and working knowledge of Capacity Planning, JIT, Kanban, and Integrated Master Schedules (IMS). Ability to work in a high-volume & high-pace environment.
• Regulatory Standards: Experience managing government-furnished material under Federal Acquisition Regulation (FAR) guidelines.
• Purchase Requisitioning: Extensive experience creating, managing, and optimizing purchase requisitions.
• Quality & Continuous Improvement: Experience working within AS9100 quality systems and applying Lean Manufacturing/Six Sigma principles to reduce material & process waste.

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The Factory Services team is part of the Shared Services, Systems & Infrastructure (3SI) organization within the Maritime Division. This team owns the technical shared services that every production business line depends on - machining, hydrostatic testing, tooling, 3D printing, and calibration.

We are looking for a Senior Factory Services Supervisor to join our rapidly growing team in Quonset, RI. In this role, you will be responsible for standing up and leading the technical shared services function at our multi-product manufacturing site.

Responsibilities:

• Technical Services Leadership: Oversee all shared technical services including machining, hydrostatic testing, tooling fabrication, 3D printing, and future capabilities such as calibration.
• Scheduling and Resource Allocation: Design, implement, and own the scheduling methodology for shared technical resources.
• Cross-Business Line Coordination: Serve as the primary point of coordination between production business lines and shared technical services.
• Team Development: Supervise and develop technical services staff, including machinists, test technicians, and tooling specialists.
• Process Buildout: Establish standard operating procedures, work request intake processes, and performance metrics for all shared technical services.
• Capacity Planning: Monitor utilization and throughput across all shared resources.
• Communication and Reporting: Provide regular status updates to the Factory Manager and site leadership on shared resource utilization, scheduling performance, and any risks to production timelines.

Requirements:

• 5+ years of experience in a manufacturing or production environment with exposure to technical support services (machining, testing, tooling, or similar)
• 2+ years of experience in a supervisory or coordination role managing shared resources or cross-functional support teams
• Demonstrated ability to build and manage scheduling or resource allocation processes in a multi-program or multi-customer environment
• Strong communication and interpersonal skills with a track record of working across organizational boundaries and managing competing priorities
• Experience standing up or significantly improving operational processes in a scaling environment
• Eligible to obtain and maintain an active U.S. Secret security clearance

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Initially focused on North American art studios, the role will expand to other regions and co-development in art resources. It will provide business development, studio leadership, and Create leadership with the visibility needed to understand where work can be placed, where additional demand is needed, which skills are becoming available, and where communication or planning gaps may create revenue, staffing, or delivery risk.

The role will primarily focus on internal transparency, fostering trust, and establishing a clear operating cadence. As that foundation matures, the role will balance its focus between internal operating needs and external partner support across multiple accounts, including RFP responses, staffing and timing questions, partner-facing capability discussions, and production-level coordination. The role is not assigned to a single partner and is not the account owner, studio resource manager, or day-to-day producer - it is responsible for cross-studio visibility, demand/supply alignment, communication, early risk and opportunity identification, and escalation.

Responsibilities

• Maintain real-time studio-level visibility into art headcount, active assignments, and tiered availability (0–90+ days) across disciplines, locations, and confidence levels to prevent bench risk and underutilization.
• Track major engagements, ramp-ups, and project transitions, translating upcoming art availability into actionable demand signals for Business Development (BD) and growth opportunities.
• Establish standard definitions, data ownership, and a repeatable cadence between BD, studio leads, and regional leadership to streamline demand visibility and reduce urgent staffing requests.
• Triage inbound opportunities against real-time capacity and skills to recommend optimal delivery setups (dedicated, co-dev, or hybrid) and support RFPs with accurate staffing scenarios.
• Expand availability tracking into co-development studios, identify cross-deployment options, and advise partner teams to ensure capacity and timing statements remain grounded in reality.
• Spot data, timing, and routing bottlenecks early, coordinate clear resolution paths, and implement process updates to protect revenue and delivery.
• Deliver concise reporting on utilization, supply/demand gaps, and risk, while building a scalable operational model that expands across regions without creating administrative bottlenecks.

Benefits

• Benefits package including Medical, Dental and Vision
• Vacation and sick leave
• Life & Disability coverage
• Paid Basic and AD&D insurance
• Voluntary Legal, Accident, Critical Illness and Hospital Indemnity coverage
• Voluntary FSA
• 401(k) retirement plan

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The Human Data team powers model training and evaluation by producing high-quality human-generated data at scale. This role focuses on the metrics, systems, and operating insights that help Human Data run efficiently,spanning workforce performance, capacity and allocation, operational process health, and decision-making support for cross-functional partners.

Responsibilities

• Perform analyses of Human Data operational metrics,such as capacity, utilisation, quality, throughput, cycle time, cost efficiency, and workforce health,to uncover trends, risks, and opportunities.
• Build and maintain reporting, trackers, and dashboards that make core operating KPIs visible and actionable for managers and cross-functional partners.
• Develop and improve planning and forecasting views (e.g., demand signals, supply/capacity, staffing needs, or process volumes) that support proactive, informed decisions.
• Support allocation and operating tradeoffs by synthesising operational and performance data into clear recommendations for who/what should move where.
• Design, document, and refine operational processes and escalation paths so recurring work - performance actions, staffing, handoffs, and similar flows - is consistent, measurable, and scalable.
• Identify data gaps and partner with stakeholders to improve data collection, hygiene, and definitions so analysis and operating systems remain reliable.
• Collaborate cross-functionally with operations, engineering, recruiting, onboarding, finance, and other partners to integrate insights into hiring, staffing, performance management, and operational planning decisions.
• Deliver concise readouts and recommendations to stakeholders, translating analysis into business-oriented next steps and tradeoffs.
• Own ad-hoc research and special projects that improve Human Data operating leverage.

Basic Qualifications

• Bachelor’s degree
• 1+ years of professional experience in business analytics, business operations, consulting, workforce/operations analysis, or growth/ops strategy
• 1+ years of experience building and owning analytical models, trackers, or operating systems in Excel / Google Sheets or equivalent

Preferred Skills and Experience

• Bachelor’s degree in business, economics, statistics, computer science, engineering, or a related quantitative field
• Strong proficiency in SQL, including complex joins, window functions, and query optimisation
• Experience with forecasting, capacity planning, workforce analytics, or performance metrics
• Proficiency in statistical or analytical techniques (e.g., cohort analysis, regression, time-series, anomaly detection) in Python, R, or similar
• Experience with data visualisation tools (e.g., Tableau, Looker, Power BI) or modern BI workflows
• Background in high-growth tech, marketplace/staffing operations, data labelling, human-in-the-loop systems, or consulting environments
• Excellent communication skills, with a track record of presenting insights to non-technical audiences and influencing cross-functional teams
• Project management experience, including prioritising work in fast-paced settings and driving process change with diverse stakeholders
• Comfort using modern AI tools to accelerate analysis and operational workflow design

Additional Requirements

• Weekend work may be required.
• Travel to other SpaceXAI sites may be required.

Compensation and Benefits

$122,000 - $180,000 USD Base salary is just one part of our total rewards package at SpaceXAI, 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.

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The Human Data team powers model training and evaluation by producing high-quality human-generated data at scale. This role focuses on the metrics, systems, and operating insights that help Human Data run efficiently,spanning workforce performance, capacity and allocation, operational process health, and decision-making support for cross-functional partners.

Responsibilities

• Perform analyses of Human Data operational metrics,such as capacity, utilisation, quality, throughput, cycle time, cost efficiency, and workforce health,to uncover trends, risks, and opportunities.
• Build and maintain reporting, trackers, and dashboards that make core operating KPIs visible and actionable for managers and cross-functional partners.
• Develop and improve planning and forecasting views (e.g., demand signals, supply/capacity, staffing needs, or process volumes) that support proactive, informed decisions.
• Support allocation and operating tradeoffs by synthesising operational and performance data into clear recommendations for who/what should move where.
• Design, document, and refine operational processes and escalation paths so recurring work - performance actions, staffing, handoffs, and similar flows - is consistent, measurable, and scalable.
• Identify data gaps and partner with stakeholders to improve data collection, hygiene, and definitions so analysis and operating systems remain reliable.
• Collaborate cross-functionally with operations, engineering, recruiting, onboarding, finance, and other partners to integrate insights into hiring, staffing, performance management, and operational planning decisions.
• Deliver concise readouts and recommendations to stakeholders, translating analysis into business-oriented next steps and tradeoffs.
• Own ad-hoc research and special projects that improve Human Data operating leverage.

Basic Qualifications

• Bachelor’s degree
• 1+ years of professional experience in business analytics, business operations, consulting, workforce/operations analysis, or growth/ops strategy
• 1+ years of experience building and owning analytical models, trackers, or operating systems in Excel / Google Sheets or equivalent

Preferred Skills and Experience

• Bachelor’s degree in business, economics, statistics, computer science, engineering, or a related quantitative field
• Strong proficiency in SQL, including complex joins, window functions, and query optimisation
• Experience with forecasting, capacity planning, workforce analytics, or performance metrics
• Proficiency in statistical or analytical techniques (e.g., cohort analysis, regression, time-series, anomaly detection) in Python, R, or similar
• Experience with data visualisation tools (e.g., Tableau, Looker, Power BI) or modern BI workflows
• Background in high-growth tech, marketplace/staffing operations, data labelling, human-in-the-loop systems, or consulting environments
• Excellent communication skills, with a track record of presenting insights to non-technical audiences and influencing cross-functional teams
• Project management experience, including prioritising work in fast-paced settings and driving process change with diverse stakeholders
• Comfort using modern AI tools to accelerate analysis and operational workflow design

Additional Requirements

• Weekend work may be required.
• Travel to other SpaceXAI sites may be required.

Compensation and Benefits

$122,000 - $180,000 USD Base salary is just one part of our total rewards package at SpaceXAI, 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.

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Key Responsibilities

• Own the hardware forecast: delivery volumes, lease and financing expense, and cash flows
• Run budget vs. actuals for machine spend: one view of what the fleet costs and why it moved
• Serve as the single point of contact for machines in forecast and close cycles with Accounting and consolidated FP&A
• Coordinate forecast inputs with Capacity Planning and the Compute deal team
• Track spend and cash-flow phasing against multi-year hardware commitments and prepayments
• Partner with Accounting on the treatment of leases, prepayments, and related agreements
• Support chip and accelerator economics analyses led by the Machines finance team
• Build the reporting that keeps leadership's machine spend picture current

Minimum Qualifications

• Owned a forecast or budget end to end at a hardware, semiconductor, hyperscaler, or infrastructure-heavy business
• Strong driver-based modeling skills and budget-vs-actual / variance discipline
• Comfort partnering closely with engineering and commercial teams under deal-timeline pressure
• Passion for Anthropic's mission to build safe, transformative AI systems

Preferred Qualifications

• 7+ years in FP&A, strategic finance, or capacity/infrastructure finance
• Capacity planning or infrastructure FP&A experience at a hyperscaler or major chip maker
• Experience building forecast infrastructure for a new or fast-changing spend area
• Lease and long-term-agreement accounting fluency
• MBA, CFA, or equivalent

The annual compensation range for this role is $240,000-$325,000 USD.

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As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class consumed: accelerators, CPU, storage, network, and managed services.

Key responsibilities:

• Build and own the medium-range multi-resource demand forecast
• Run the plan-vs-reality loop
• Qualify each incoming capacity tranche against the forecast before signature
• Partner with Finance and cost-efficiency teams to turn the forecast into core drivers

What you bring:

• Experience in capacity, demand, or supply planning for large-scale technical infrastructure
• Ability to build models using SQL, Python/pandas, or forecasting/optimization stacks
• Understanding of data-center resource classes
• Preference for simple, inspectable models

Preferred qualifications:

• Direct experience with cloud or neocloud providers
• Demand planning or forecasting experience for accelerator fleets
• Data center or colocation delivery experience
• Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs

The annual compensation range for this role is $320,000-$405,000 USD.

XML job scraping automation by YubHub

As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class consumed: accelerators, CPU, storage, network, and managed services.

Key responsibilities:

• Build and own the medium-range multi-resource demand forecast
• Run the plan-vs-reality loop
• Qualify each incoming capacity tranche against the forecast before signature
• Partner with Finance and cost-efficiency teams to turn the forecast into core drivers

What you bring:

• Experience in capacity, demand, or supply planning for large-scale technical infrastructure
• Ability to build models yourself
• Understanding of data-center resource classes
• Preference for simple, inspectable models

Preferred qualifications:

• Direct experience with cloud or neocloud providers
• Demand planning or forecasting experience for accelerator fleets
• Data center or colocation delivery experience

The annual compensation range for this role is $320,000-$405,000 USD.

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You will work closely with Supply Chain, Inventory Control, Engineering, and contract manufacturing (CM) partners to support build commits, refine operational execution, and increase planning efficiency. This position involves using AI-enabled analytics and automation tools to improve efficiency, decision quality, and responsiveness in a dynamic high-tech manufacturing setting.

Responsibilities:

• Drive build commits by balancing demand, manufacturing constraints, and CM capabilities while identifying supply risks.
• Monitor and execute weekly factory build plans, ensuring actual delivery meets committed plans and OTD targets.
• Collaborate with cross-functional groups to guarantee plan feasibility and implementation.
• Monitor CM capacity, identify gaps, and support mitigation plans to resolve constraints impacting production.
• Partner with Inventory Control Planners to ensure balanced inventory for raw materials, WIP, and finished goods.
• Use AI, analytics, and automation tools to improve planning efficiency, scenario analysis, and predictive risk assessment.
• Identify and drive automation opportunities to streamline repetitive planning tasks.
• Continuously improve planning processes to increase accuracy, responsiveness, and operational excellence.

Requirements:

• Bachelor's degree or above in Engineering, Supply Chain, Operations, Business, or equivalent experience.
• More than 5 years of experience in factory planning, production planning, or supply chain management within a regional or global manufacturing setting, ideally in high-tech industries.
• Strong understanding of factory operations, capacity planning, and manufacturing execution in a CM-based model.
• Hands-on experience with AI, advanced analytics, automation, or digital tools to increase efficiency, planning accuracy, or decision-making.
• Strong analytical and problem-solving abilities, capable of interpreting complex data and converting it into actionable plans.
• Strong collaboration skills and the ability to work effectively alongside cross-functional teams and external CM partners.
• Ability to thrive in a fast-paced, dynamic, and rapidly changing environment while continuously learning and adapting to new technologies.
• Strong verbal and written English communication skills, including the ability to present data-driven insights to collaborators.

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The Creative Operations Lead is a critical operational leader at Translation, responsible for ensuring the right people are on the right work at the right time across every active account and initiative.

Responsibilities

Resource Planning & Allocation

• Own and manage staffing allocations across all active client accounts, ensuring people are planned accurately and updated in real time.
• Lead the rollout and ongoing adoption of Translation's new resource management platform, serving as the primary administrator and internal champion.
• Surface capacity conflicts, volume pressure points, and over-allocation risks proactively , before they become delivery problems.
• Partner daily with the PM team to align headcount plans with project timelines, scope changes, and shifting client demands.
• Develop and maintain clear visibility into who is available, who is over-committed, and where gaps exist across all functions.
• Track talent skills and passions.

Workload Balancing & Prioritization

• Balance competing demands across billable client work, proactive creative opportunities, new business pitches, and internal initiatives.
• Make and communicate clear recommendations on when and how to pull staff from non-billable work in service of billable priorities.
• Establish and enforce workload thresholds that protect talent from burnout while maintaining agency output and quality.
• Build frameworks for how to triage competing requests, ensuring leadership has the right information to make fast, informed staffing calls.

Freelancer Management

• Proactively source and pipeline freelance talent in advance of high-volume periods, ensuring the agency is never caught flat-footed when capacity spikes.
• Manage first holds on preferred freelancers across disciplines, maintaining relationships so Translation has priority access when demand peaks.
• Negotiate freelance rates with an eye toward engagement length securing better terms for longer commitments while staying within agency margin thresholds.
• Vet new freelancers in partnership with relevant discipline leads and key creative, strategy, and production leaders before adding them to the approved roster.
• Own and maintain a current, organized freelancer database including rates, availability windows, past project history, and performance notes so the agency can move quickly when a need arises.

Awards & Case Study Management

• Own the end-to-end process for awards submissions tracking eligible work, managing timelines, coordinating materials, and submitting entries across relevant shows.
• Build and maintain a living library of agency case studies, ensuring work is documented accurately and kept current across accounts.
• Partner with Business Development, Business Leadership, Strategy, and Creative to capture the story behind Translation's best work in a format ready for new business, press, and agency promotion.
• Develop a calendar and workflow for proactive awards planning to avoid last-minute scrambles.

Cross-Functional Partnership

• Serve as a key operational partner to the PM team, creating tight alignment between resource plans and delivery commitments.
• Act as a trusted advisor to Business Leadership and Client Engagement teams on capacity and staffing strategy, translating data into actionable recommendations.
• Collaborate with People Operations on headcount planning, open role identification, and freelance needs driven by capacity gaps.
• Represent resource management in agency planning conversations, including scoping, new business, and organizational design discussions.

Requirements

• Proven track record managing complex, multi-account staffing in a fast-paced environment where priorities shift quickly.
• Strong command of resource management tools and platforms; experience leading a tool rollout or system migration is a plus.
• Experience managing or willing to learn managing awards submissions and/or case study development, with a clear understanding of how agency recognition supports business development.
• A systems thinker who is equally comfortable in the weeds of a staffing grid and in a strategic conversation about organizational design.
• Clear, confident communicator who can translate operational complexity into simple, actionable recommendations for senior leadership.
• A natural collaborator who builds trust quickly and maintains it under pressure.
• High integrity around people data: this role has visibility into utilization and performance-adjacent information and must handle it with discretion.

Minimum Qualifications

• 6+ years of experience in resource management, project management, creative operations, or a related function within a creative agency or marketing organization.
• Deep understanding of how creative agencies work, the rhythms of production, the difference between billable and non-billable time, and how to protect both.
• Freelance recruiting experience and negotiation skills.

Preferred Qualifications

• Experience managing and enhancing a product or platform.
• A strong network of freelance talent relationships.

Salary Information

The salary hiring range for this position is $140,000 - $165,000.

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You will report into the Planning People Empower and play a leading role in shaping how AI is adopted across forecasting, scheduling, and intraday operations.

Here's what you'll do day-to-day:

• Use AI to identify demand shifts, seasonal patterns, and emerging workforce risks before they impact operations.
• Connect AI-generated insights to operational decisions across staffing, scheduling, and capacity planning.
• Develop and maintain capacity plans, providing recommendations on hiring, staffing, and efficiency improvements for our CX teams.
• Participate in an on-call PagerDuty rotation to monitor and respond to real-time alerts.
• Design scalable AI-enabled WFM workflows across forecasting, scheduling, and intraday functions.
• Build and maintain AI-powered WFM data pipelines that integrate multiple data sources.
• Continuously monitor and adjust forecasts using AI-driven models and traditional methods as demand evolves.
• Design governance frameworks for AI-enabled WFM workflows.
• Partner with Legal, Data, and Product to ensure AI implementations meet organizational standards and compliance requirements.
• Lead cross-functional AI initiatives for WFM.
• Facilitate stakeholder meetings on forecasting, capacity planning, and AI adoption progress.
• Identify potential risks to workforce capacity and proactively devise contingency plans.
• Collaborate with stakeholders to implement risk mitigation strategies.
• Evaluate and recommend process enhancements to boost efficiency and capacity utilization.
• Analyze data to identify gaps and opportunities within the CX organization.

Here's what we're looking for:

• AI fluency required: Demonstrated ability to adopt and operationalize AI tools in a WFM or contact center context.
• Strong analytical and data visualization skills.
• Excellent judgment, communication, and problem-solving skills.
• Familiarity with COPC, ICMI, and/or SWPP standards is a plus.
• Bachelor's degree or equivalent experience.
• 7+ years in a capacity planning and forecasting role.
• Demonstrated ability to lead cross-functional initiatives and influence planning and operations practices across teams.
• Experience building or managing data pipelines that integrate multiple WFM data sources.
• Proficiency in data modeling, statistical analysis, and data visualization.
• Experience in a high-volume, fast-paced contact center environment.
• Experience with BPOs.
• Familiarity with AI governance concepts.

The cash compensation range for this role is $105,000/yearly to $129,00/yearly in Denver and Las Vegas, and most remote locations, and $98,775/yearly to $121,000/yearly in Phoenix.

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At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

We are seeking a senior WFM leader who combines deep expertise in workforce forecasting, capacity planning, and compliance operations with the communication and leadership skills to operate at the executive level.

Responsibilities

• Lead AI-informed capacity planning, incorporating hybrid human-AI staffing models, scenario planning, and automation-driven productivity assumptions into workforce strategy across Compliance lines of business and new product launches.
• Serve as the senior WFM voice with executive leadership, distilling complex workforce dynamics, forecast risk, and capacity tradeoffs into clear, decision-ready narratives for CX, Finance, and Compliance leadership.
• Build trusted partnerships across Ops, Finance, Product, Legal, and Compliance, driving alignment on workforce priorities, regulatory planning, and resourcing tradeoffs across competing stakeholder demands.
• Develop and manage cost models and OpEx forecasts for Compliance Operations, incorporating AI/automation-driven productivity gains and scenario-based risk planning.
• Identify and drive areas of opportunity across Compliance Operations: gather data, build the business case, communicate recommendations, secure cross-functional buy-in, and lead initiatives from concept through execution.
• Lead execution of strategic and tactical plans to ensure operational and regulatory targets are met consistently, with clear tradeoff visibility for leadership when capacity or compliance risks emerge.
• Create multi-scenario staffing plans for Compliance Operations that model tradeoffs between Customer Experience/Service Levels, Employee Experience, Operational Flexibility, Cost Effectiveness, and AI/automation leverage.
• Extend WFM strategic expertise to adjacent teams (Risk & Controls, Programs, P&E), acting as a center of excellence for resource planning methodology across the broader organization.
• Periodically brief senior and executive leadership on WFM performance, capacity risk, regulatory readiness, and the strategic direction of the function.

Requirements

• 5+ years of relevant experience in senior Workforce Management, Operations, or Strategic Workforce Planning roles, including direct accountability for regulated or compliance-driven operations in financial services or fintech.
• Demonstrated stakeholder leadership: proven ability to build partnerships, drive alignment, and influence decisions across Finance, Legal, Compliance, Ops, and senior CX leadership without positional authority.
• Executive-level communication skills: able to distill complex workforce dynamics, regulatory risk, and capacity tradeoffs into crisp, decision-ready narratives for senior and executive leadership.
• Expertise in capacity planning, forecasting, and scenario modeling in complex back-office environments, with experience designing staffing models that account for AI/automation-driven productivity assumptions.
• Experience operating in, or actively transitioning a team toward, an AI-informed workforce model, including planning capacity in environments where AI agents contribute to operational output.
• Proven drive for operational excellence in regulated environments, able to navigate ambiguity, manage high-stakes compliance requirements, and deliver results under regulatory scrutiny.
• Strong analytical skill, with a passion for metrics and data; ability to translate quantitative insights into strategic recommendations that influence business decisions.
• Highly flexible and adaptable to meeting the evolving needs of a high-growth and fast-paced organization with rapidly evolving regulatory and operational conditions.
• Experience with modern WFM platforms (e.g., Assembled or comparable) and BI tools (e.g., Looker, Hex).

Nice to Haves

• Experience designing or operating a two-tier model (senior internal strategists + managed BPO execution layer).
• Familiarity with AI/automation tooling in an operational or WFM context (e.g., agentic workflows, LLM-assisted forecasting, low-code automation platforms).
• SQL experience and/or data fluency sufficient to independently query and validate workforce data.
• Experience in Tech/Fintech industry.
• Consulting background.

XML job scraping automation by YubHub

You will report into the Planning People Empower and play a leading role in shaping how AI is adopted across forecasting, scheduling, and intraday operations.

Responsibilities:

• Use AI to identify demand shifts, seasonal patterns, and emerging workforce risks before they impact operations.
• Connect AI-generated insights to operational decisions across staffing, scheduling, and capacity planning.
• Develop and maintain capacity plans, providing recommendations on hiring, staffing, and efficiency improvements for CX teams.
• Participate in an on-call PagerDuty rotation to monitor and respond to real-time alerts.
• Design scalable AI-enabled WFM workflows across forecasting, scheduling, and intraday functions.
• Build and maintain AI-powered WFM data pipelines that integrate multiple data sources.
• Continuously monitor and adjust forecasts using AI-driven models and traditional methods.
• Design governance frameworks for AI-enabled WFM workflows.
• Partner with Legal, Data, and Product to ensure AI implementations meet organisational standards.
• Lead cross-functional AI initiatives for WFM.
• Facilitate stakeholder meetings on forecasting, capacity planning, and AI adoption progress.
• Identify potential risks to workforce capacity and devise contingency plans.
• Collaborate with stakeholders to implement risk mitigation strategies.
• Evaluate and recommend process enhancements to boost efficiency and capacity utilisation.
• Analyse data to identify gaps and opportunities within the CX organisation.

Requirements:

• AI fluency required: demonstrated ability to adopt and operationalise AI tools in a WFM or contact centre context.
• Strong analytical and data visualisation skills.
• Excellent judgment, communication, and problem-solving skills.
• Familiarity with COPC, ICMI, and/or SWPP standards is a plus.
• Bachelor's degree or equivalent experience.
• 7+ years in a capacity planning and forecasting role.
• Demonstrated ability to lead cross-functional initiatives.
• Experience building or managing data pipelines.
• Proficiency in data modelling, statistical analysis, and data visualisation.
• Experience in a high-volume, fast-paced contact centre environment.
• Experience with BPOs.
• Familiarity with AI governance concepts.

The cash compensation range for this role is $105,000/yearly to $129,00/yearly in Denver and Las Vegas, and most remote locations, and $98,775/yearly to $121,000/yearly in Phoenix.

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We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.

As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch - and we're looking for the founding engineer to own the latter.

Responsibilities

• Define Fuse's inference serving strategy and architecture from first principles.
• Design and build the serving stack: request routing, batching, scheduling, and autoscaling for high-throughput, latency-sensitive inference workloads.
• Own model-level optimisation strategy for serving - deciding where and how to apply quantisation, distillation, speculative decoding, and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers.
• Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents).
• Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans.
• Act as a direct technical owner of inference performance and reliability.
• Work closely with the CUDA and GPU engineering teams to ensure custom kernels and hardware performance work are integrated cleanly into the serving layer.
• Set the standards, tooling, and benchmarks this function will run on as it grows.

Requirements

• 4+ years of experience building or operating large-scale inference serving systems, or equivalent strong project/industry experience.
• Deep, hands-on experience with inference serving frameworks and the techniques used to optimise them (batching, KV-cache management, quantisation, speculative decoding).
• Strong systems thinking - able to reason about the full path from incoming request to served response across a large cluster.
• Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a serving system.
• A track record of making high-stakes architecture calls and owning the outcome.
• Comfort operating without a playbook - this is a founding role shaping a new function around architecture that's still early-stage, not joining an established one.

Benefits

• Competitive salary and an equity sign-on bonus.
• Biannual bonus scheme.
• Fully expensed tech to match your needs.
• Breakfast and dinner allowance for office-based employees.

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We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.

As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch - and we're looking for the founding engineer to own the latter.

Responsibilities

• Define Fuse's inference serving strategy and architecture from first principles.
• Design and build the serving stack: request routing, batching, scheduling, and autoscaling for high-throughput, latency-sensitive inference workloads.
• Own model-level optimisation strategy for serving - deciding where and how to apply quantisation, distillation, speculative decoding, and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers.
• Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents).
• Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans.
• Act as a direct technical owner of inference performance and reliability.
• Work closely with the CUDA and GPU engineering teams to ensure custom kernels and hardware performance work are integrated cleanly into the serving layer.
• Set the standards, tooling, and benchmarks this function will run on as it grows.

Requirements

• 4+ years of experience building or operating large-scale inference serving systems, or equivalent strong project/industry experience.
• Deep, hands-on experience with inference serving frameworks and the techniques used to optimise them (batching, KV-cache management, quantisation, speculative decoding).
• Strong systems thinking - able to reason about the full path from incoming request to served response across a large cluster.
• Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a serving system.
• A track record of making high-stakes architecture calls and owning the outcome.
• Comfort operating without a playbook - this is a founding role shaping a new function around architecture that's still early-stage, not joining an established one.

Nice to Have

• Experience with Triton or custom ML inference/training frameworks.
• Experience with autoscaling or capacity planning for large-scale inference workloads.
• Exposure to multi-tenant serving or SLA-driven infrastructure.
• Background at a hyperscaler, frontier AI lab, or large-scale distributed inference system.
• Familiarity with Kubernetes/Slurm for cluster orchestration.
• Interest or experience in energy markets, grid systems, or sustainability-focused compute.

Benefits

• Competitive salary and an equity sign-on bonus.
• Biannual bonus scheme.
• Fully expensed tech to match your needs.
• Breakfast and dinner allowance for office-based employees.

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As a Senior Storage Production Engineer at NVIDIA, you will play a critical role in ensuring that our internal and external-facing GPU cloud services meet reliability and uptime goals.

Responsibilities:

• Design, implement, and support large-scale storage clusters, ensuring scalability, high availability, and data integrity.
• Develop and maintain storage monitoring, logging, and alerting systems to ensure proactive detection and resolution of performance issues.
• Work with AI/ML workloads to improve storage architectures for low-latency access, efficient caching, and high-throughput performance.
• Improve the lifecycle of storage services – from inception and design to deployment, operation, and continuous optimization.
• Maintain production storage infrastructure by supervising availability, latency, and system health, leveraging predictive analytics and AI-driven automation.
• Optimize storage efficiency through compression, deduplication, tiering strategies, and intelligent workload placement.
• Scale storage systems sustainably using AI/ML-driven automation, policy-based tiering, and dynamic data migration techniques.
• Practice sustainable incident response and blameless root cause analysis.

Requirements:

• BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field with 8+ years of practical experience.
• Experience with distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems.
• Solid understanding of block, file, and object storage technologies, including their scalability, reliability, and performance characteristics and standard processes.
• Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.
• Expertise in algorithms, data structures, complexity analysis, software design, and automating maintenance of large-scale Linux-based storage systems.
• Experience in one or more of the following: C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.
• Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments.

Benefits:

• Equity
• Benefits package

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Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry , spanning multiple accelerator families, CPU families, and clouds. The Capacity Engineering team is responsible for making sure all infrastructure resources are accounted for, well-utilised, and efficiently allocated.

As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalise telemetry from heterogeneous cloud environments, observability tooling that gives the organisation real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on.

You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams.

The work requires someone who can move between data engineering, systems engineering, and observability with comfort , and who thrives in a high-autonomy, high-ambiguity environment.

This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:

• Data platform: Pipelines that ingest occupancy and utilisation telemetry from Kubernetes clusters, normalise billing and usage across cloud providers, and serve the BigQuery tables the rest of the organisation queries against.
• Planning: Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time.
• Efficiency: Measuring and improving how effectively every major workload uses the hardware it runs on.
• Attribution and forecasting: Connecting what the fleet costs to what the business is doing with it.

Key Responsibilities

• Build the planning and allocation stack , the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces.
• Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilisation across training, inference, and eval.
• Own attribution and forecasting , reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
• Build the data platform underneath all of it: pipelines ingesting occupancy, utilisation, and cost from a rapidly diversifying fleet into BigQuery.
• Operate Kubernetes-native systems at scale , collection agents, workload labeling, and the taint/reservation/scheduling behaviour that determines what capacity is actually usable.

What You Bring

• A strong track record building and operating production systems.
• Python and SQL at production quality.
• Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations.
• Experience with observability tooling stack, including Prometheus, PromQL, and Grafana.
• Ability to gather your own requirements and work across organisational boundaries in an ambiguous environment with limited direction.

Preferred Qualifications

• Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment.
• Scheduling and packing efficiency experience, or profiling-driven optimisation of large distributed workloads.
• Multi-cloud data ingestion experience, especially normalising billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.

Logistics

• Annual Salary: $320,000-$485,000 USD

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Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry , spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated.

As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on.

You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams.

The work requires someone who can move between data engineering, systems engineering, and observability with comfort , and who thrives in a high-autonomy, high-ambiguity environment.

This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:

• Data platform: Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against.
• Planning: Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time.
• Efficiency: Measuring and improving how effectively every major workload uses the hardware it runs on.
• Attribution and forecasting: Connecting what the fleet costs to what the business is doing with it.

Key Responsibilities

• Build the planning and allocation stack , the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces.
• Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval.
• Own attribution and forecasting , reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
• Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery.
• Operate Kubernetes-native systems at scale , collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.

What You Bring

• A strong track record building and operating production systems.
• Python and SQL at production quality.
• Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations.
• Experience with observability tooling stack, including Prometheus, PromQL, and Grafana.
• Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.

Preferred Qualifications

• Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment.
• Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
• Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
• Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
• Accelerator infrastructure familiarity.
• Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability.

Logistics

• Annual Salary: $320,000-$485,000 USD

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The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.

Responsibilities

• Own the technical strategy and roadmap, translating goals into concrete execution
• Manage day-to-day execution of the team's work
• Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment
• Stay hands-on: build and ship the runtime platform and tooling
• Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management
• Build primitives that are composable and reusable across various agents
• Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence
• Collaborate cross-team, supporting internal teams bringing up their agents

You May Be a Good Fit If You:

• Have 10+ years building and operating large-scale platforms or distributed systems
• Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale
• Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment
• Have experience with container or VM orchestration at scale
• Are obsessed with productivity and transforming how we work
• Have excellent communication skills and enjoy supporting internal partners

Strong Candidates May Also Have:

• Engineering management experience on top of a strong IC track record
• Experience with harness engineering
• Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
• Experience with capacity planning and utilization across multiple cloud providers
• Experience working with researchers, engineers and other functional roles

The annual compensation range for this role is $1-$2 USD.

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As an Engineering Manager on the Agent Runtime Platform team at Anthropic, you will be responsible for ensuring your team identifies and removes friction and blockers to productivity, experiments at the frontier, and builds security and quality into agents.

Responsibilities

• Own the technical strategy and roadmap, translating goals into concrete execution.
• Manage day-to-day execution of the team's work.
• Prioritize the team's work and manage projects in a highly dynamic, fast-paced environment.
• Stay hands-on: build and ship the runtime platform and tooling.
• Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management.
• Build primitives that are composable and reusable across various agents.
• Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence.
• Collaborate cross-team, supporting internal teams bringing up their agents.

Requirements

• Have 10+ years building and operating large-scale platforms or distributed systems.
• Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale.
• Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment.
• Have experience with container or VM orchestration at scale.
• Are obsessed with productivity and transforming how we work.
• Have excellent communication skills and enjoy supporting internal partners.

Nice to Have

• Engineering management experience on top of a strong IC track record.
• Experience with harness engineering.
• Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control.
• Experience with capacity planning and utilization across multiple cloud providers.
• Experience working with researchers, engineers and other functional roles.

Logistics

• Annual Salary: $1-$2 USD
• 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.
• 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.

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

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As a Software Engineer on Launch Engineering, 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, so your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, and 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.

Key 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 accelerator chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so 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

Minimum Qualifications

• Strong software engineering skills, including experience designing systems that manage complex state machines and multi-stage pipelines
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Experience building deployment, release, or delivery infrastructure where resource constraints shape the design
• A track record of building automation that measurably improves deployment velocity and reliability
• 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

Preferred Qualifications

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Experience with Python and/or Rust in production systems
• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling
• Experience with progressive delivery in systems with long validation cycles
• Experience at companies with large-scale release engineering challenges

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

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As a Software Engineer on Launch Engineering, 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, so your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, and 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.

Key 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 accelerator chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so 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

Minimum Qualifications

• Strong software engineering skills, including experience designing systems that manage complex state machines and multi-stage pipelines
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Experience building deployment, release, or delivery infrastructure where resource constraints shape the design
• A track record of building automation that measurably improves deployment velocity and reliability
• 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

Preferred Qualifications

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Experience with Python and/or Rust in production systems
• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling
• Experience with progressive delivery in systems with long validation cycles
• Experience at companies with large-scale release engineering challenges

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

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The Program Manager executes Technology Capital Builds by creating tight alignment across Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for capital build outs, including new office buildout and remodels, industrial labs, datacenters and secured facilities. This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security and related IT scopes of work.

Responsibilities:

• Ensure new sites launch with secure and reliable ISP connectivity, network infrastructure, and low voltage systems that are ready to support employees from day one.
• Deliver Capital Builds commitments through effective coordination across internal teams, construction partners, and vendors, achieving outcomes on scope, schedule, budget, and quality.
• Ensure AV systems across conference rooms, training spaces, all hands venues, digital signage, and wayfinding deliver a consistent and dependable user experience.
• Ensure access control, surveillance, and intrusion detection systems are integrated into the built environment and aligned with enterprise security requirements.
• Provide leadership with clear visibility into portfolio status, key decisions, dependencies, and emerging risks.
• Establish standards, drawing packages, specifications, and documentation that enable repeatable execution and operational consistency across the global portfolio.
• Ensure disciplined stewardship of procurement, budgets, and vendor investments across the Capital Builds portfolio.
• Identify and mitigate delivery risks early to protect project outcomes, business continuity, and operational readiness.
• Ensure all systems are commissioned, documented, and transitioned to support teams with clear ownership and support models in place.

Requirements:

• 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.

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The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions.

We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers to design and implement comprehensive monitoring, observability and alerting systems as well as build infrastructure automation to help manage large scale distributed systems.

REQUIRED QUALIFICATIONS

• 5+ years of engineering experience with at least 3+ years focused on low level infrastructure problems, production operations, or infrastructure engineering

• Deep expertise with Kubernetes in production environments, including operational challenges at scale

• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices

• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack

• Track record of improving system reliability through architectural changes, not just operational band-aids

• Strong incident management and communication skills, with experience leading responses to critical outages

• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences

• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems

• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks

• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)

• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security

• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)

• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders

• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent

• Active Secret or higher security clearance

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

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The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions.

We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers to design and implement comprehensive monitoring, observability and alerting systems as well as build infrastructure automation to help manage large scale distributed systems.

REQUIRED QUALIFICATIONS

• 5+ years of engineering experience with at least 3+ years focused on low level infrastructure problems, production operations, or infrastructure engineering

• Deep expertise with Kubernetes in production environments, including operational challenges at scale

• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices

• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack

• Track record of improving system reliability through architectural changes, not just operational band-aids

• Strong incident management and communication skills, with experience leading responses to critical outages

• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences

• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems

• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks

• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)

• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security

• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)

• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders

• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent

• Active Secret or higher security clearance

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

XML job scraping automation by YubHub

Location: Oak Ridge, TN

Schedule: Full-Time

Standard Nuclear is fueling America’s nuclear renaissance at industrial scale. Our mission is to deliver the essential building blocks of nuclear power,enabling cost-effective, safe, and secure energy for the world.

The Senior Production Planner is responsible for developing production schedules and building the planning framework needed to support Standard Nuclear’s growing manufacturing operations. This role translates project demand, engineering inputs, production constraints, material availability, and facility capacity into practical schedules that support execution across multiple facilities.

This is a hands-on planning role in a fast-growing manufacturing environment where production processes, capacity models, and planning systems are actively being developed. The Senior Production Planner will work closely with production, engineering, supply chain, quality, and project teams to gather inputs, identify bottlenecks, estimate throughput, and create schedules that reflect real operational capability.

Responsibilities:

Production Planning & Scheduling

• Develop and maintain production schedules based on project demand, production readiness, facility capacity, and material availability

• Translate customer, project, and internal priorities into executable production plans

• Build weekly and longer-range production schedules that account for equipment availability, labor, materials, quality requirements, and operational constraints

• Monitor schedule performance and adjust plans as priorities, constraints, or production realities change

• Communicate schedule changes, risks, and tradeoffs clearly to production, project, and leadership teams

Capacity & Throughput Analysis

• Evaluate production capacity across facilities, equipment, labor, and process steps

• Identify bottlenecks, constraints, and throughput limitations that impact production schedules

• Develop and maintain practical capacity assumptions based on actual production performance and input from technical teams

• Support leadership in understanding what work can realistically be completed based on current resources and constraints

• Refine planning models as production processes mature and new data becomes available

Planning Framework Development

• Help build the production planning structure, tools, and routines needed to support scalable manufacturing

• Gather required inputs from engineering, production, quality, and supply chain to support schedule development

• Support development of routings, process assumptions, lead times, work sequencing, and planning rules

• Identify gaps in planning data, documentation, or process inputs and work with teams to close them

• Help standardize production planning practices across facilities as operations grow

Cross-Functional Coordination

• Work closely with production teams to understand current execution status, constraints, and shop-floor realities

• Partner with engineering to understand process requirements, technical readiness, and changes that impact production plans

• Coordinate with supply chain to account for material availability, BOM readiness, long-lead items, and procurement timelines

• Work with quality to ensure inspection, documentation, and release requirements are reflected in production schedules

• Support project teams by providing realistic schedule inputs, production status, and capacity feedback

Multi-Facility Planning

• Support production planning across multiple Standard Nuclear facilities

• Understand facility-specific capabilities, constraints, equipment availability, and readiness

• Help determine where work should be performed based on capacity, capability, timing, and project needs

• Coordinate handoffs and dependencies between facilities when work requires multiple production steps or locations

• Maintain visibility into competing demands across facilities and support prioritization discussions

Systems, Data & Continuous Improvement

• Maintain accurate planning data in scheduling, ERP/MRP, or related systems as they are developed

• Use production data to improve planning assumptions, schedule accuracy, and capacity visibility

• Develop reports, trackers, and planning tools to support decision-making

• Identify opportunities to improve production flow, material readiness, schedule adherence, and planning discipline

• Support implementation and improvement of planning systems as the company scales

Preferred Qualifications

• Bachelor’s degree in Supply Chain Management, Operations Management, Engineering, Business, or a related field; equivalent experience will be considered

• 5–8 years of experience in production planning, production control, master scheduling, capacity planning, manufacturing operations, or supply chain planning

• Experience developing production schedules in a manufacturing, industrial, technical, or regulated environment

• Strong understanding of production flow, capacity planning, bottleneck analysis, routings, lead times, and material readiness

• Experience working in environments where planning systems, BOMs, routings, or production processes are still being built or improved

• Experience working with ERP/MRP, scheduling, or production planning systems

• Strong Excel and data analysis skills; experience building planning tools, trackers, or capacity models preferred

• Ability to gather inputs from engineering, production, supply chain, quality, and project teams and turn them into actionable plans

• Strong communication skills and ability to explain schedule constraints, risks, and tradeoffs clearly

• Strong organizational skills and ability to manage competing priorities in a changing production environment

• Experience in nuclear, aerospace, defense, energy, chemical processing, advanced manufacturing, or other regulated manufacturing environments is a plus

Benefits

• Health, Dental & Vision Insurance

• Health Savings Account

• Disability and Life Insurance

• 401(k) Plan

• Paid Time Off and Holidays

Work Environment

This role is based in Oak Ridge, TN and supports production planning across office, manufacturing, warehouse, and operational environments. The position requires regular coordination with production, engineering, supply chain, quality, project, and facility teams. Time in manufacturing or operational areas may be required to understand production constraints, validate planning assumptions, and support schedule development. Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions. Standard Nuclear embraces equal opportunity and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. To conform to U.S. Government export regulations, applicants must be U.S. citizens, lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

XML job scraping automation by YubHub

The Construction and Infrastructure team builds the machine that makes the machine,in this case, the hyperscale facilities that power the world's most advanced AI systems. Process flow, equipment integration, project planning, and detailed department-level metrics and dashboards all fall under the scope of this role.

Responsibilities:

• Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow

• Support department continuous improvement projects such as new process rollouts/standardization

• Integrate with all levels of the business to understand current workflows and identify systematic gaps

• Define and develop department-level metrics & associated dashboards that quantify the health of our operations and influence change

• Conduct in-depth analyses through SQL queries and other data analysis methods to dive into problems and identify trends for decision making, following the rules of clear visual indicators and linear flow

• Create reports, tools, and standardized metrics for operational measurements and improvements

• Develop automation that mitigates business risk or creates efficiencies within xAI's data center facilities

• Conduct department-wide operations audits that streamline the repair, maintenance, and construction engineering teams

• Maintenance program enhancement – increase attention on poor-health hardware and descope unnecessary work

• Implement construction management or maintenance tools (software or hardware) to reduce wasted effort by engineers and techs

• Site services analysis to ensure smart spending on contracts such as custodial, utilities, waste, power, cooling, and fiber, etc., and roadmap improvements

• Build communication tools and reports targeted at facility and site directors to improve communication and facilitate customer service

• Standardize material library and procurement process to reduce project lead times

• Drive alignment with maintenance and construction teams at other xAI sites across the country to reduce duplicated work

Basic Qualifications:

• Bachelor's degree in an engineering discipline

• 2+ years of experience in operations/process improvement (internship experience qualifies)

• Experience with Excel, SQL, or Python

Preferred Skills and Experience:

• Previous experience working in a data center, hyperscale infrastructure, manufacturing, supply chain, or production environment

• Proficiency with statistics, data analysis, data visualization, and cost benefit analysis

• Experience with CAD software, ArcGIS, Archibus, Power BI, JIRA, or similar tools

• Familiarity with inventory, production, capacity planning, and critical infrastructure systems (including MEP, BMS/SCADA, or ERP systems)

• Experience with lean, six sigma, and other related production/operational excellence principles

• Experience or education in management science and engineering, operations engineering, operations research, or industrial engineering

• Experience as a contributor to multi-disciplinary and cross-functional teams

• Ability to work in a fast-paced environment

• Excellent written and communication skills

Additional Requirements:

• Must be able to work extended hours and/or weekends as needed, including occasional short-notice domestic travel

XML job scraping automation by YubHub

The diverse responsibilities of this role will require you to leverage your technical expertise as well as leadership skills to set objectives, build cross-functional teams, and drive rapid project execution. You will play a crucial role in optimizing manufacturing processes, reducing costs, and increasing efficiencies on existing technologies while developing new products and scaling to full-scale production.

Key Responsibilities

• Execute the manufacturing of a certain product or set of products, from initial prototyping through large full-scale production.
• Lead a team responsible for delivering on-time completion of development and production units within a product group.
• Work with design engineers during the development process to drive design for manufacturing best practices into the design effort, and help facilitate the transition from design to prototype to rate production.
• Act as a manufacturing lead for mechanical fabrication and avionics with subject matter expertise in these areas and key experience in design for manufacturability.
• Own documentation required for successfully manufacturing product group hardware at scale, such as MBOM's, work instructions & requirements, etc.
• Uphold and advise on quality management and business application programs as they pertain to manufacturing within your area.
• Facilitate make versus buy decisions, and coordinate with internal supply chain teams to manage vendors to ensure quality deliveries on time.
• Collaborate with internal customers and manufacturing planning teams to define capacity planning actions to meet customer needs and expectations.
• Analyze metrics for continuous improvement initiatives (cost reduction, QI reduction & capacity increase).
• Instill a culture of innovation, teamwork, and accountability within the manufacturing engineering product team.
• Develop production and test methodologies and implement best practices to enable scaling production capabilities for larger, more complex products.
• Travel to suppliers and partner sites to do initial sourcing work, solve ongoing production issues, and implement process procedures as required.

Requirements

• Degree in a technical field such as engineering, math, or a hard science.
• 8+ years in manufacturing or similar prototyping position.
• Demonstrated in-kind or direct team leadership skills, with backing examples.
• An attitude of world-class mission assurance, quality, attention to detail, and dedication.
• A genuine interest in manufacturing and thirst for learning.
• Demonstrated ability to creatively deliver hardware in a resource-constrained environment.
• Personal experience physically manufacturing hardware via any means (machining, fabrication, soldering, assembly, etc.). Work on personal or extracurricular projects is a plus.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications

• Experience building or transforming successful production operation organizations and leading large-scale change management initiatives that influence culture, define tools & processes and improve competencies.
• Harness & PCBA fabrication experience including prior work with or setup/modification/monitoring SMT processes.
• Experience leading and managing teams on fast-paced, complex projects.
• Hands-on experience with R/C and/or autonomous flight vehicles, flight controllers, or other related control systems.
• Software scripting experience in any language.
• Current active U.S. Secret security clearance

XML job scraping automation by YubHub

Our global network spans more than 330 cities, and is a key strategic asset that supports all of our customers and products. As a leader on this team, you will play a crucial role in ensuring the performance, availability, and security of our infrastructure.

The DCIM Program Leader role is the single point of ownership for the Nlyte platform across Cloudflare's global network of 330+ cities. You will architect our Workflow and Change Management policy, own the strategic vision, and help drive the deep integration necessary to establish Nlyte as the mandatory Single Source of Truth (SSOT), enabling the disciplined, high-velocity scale of our edge and core network.

We operate in a fast-paced environment where you will be expected to drive both project delivery and operational excellence through continuous improvement, standardization, and optimization. This isn't just about day to day operations; it's about building a scalable, performant, secure, and resilient infrastructure that plays a critical role in us building a better Internet.

Key Responsibilities:

• Own the successful deployment of CAPEX investments, ensuring our infrastructure scales ahead of demand.
• Collaborate strategically with cross-functional partners including Project Managers, Capacity Planning, Finance, and Security to deliver on ambitious group initiatives.
• Manage key third-party vendors and contractors, holding them accountable for performance and service level agreements (SLAs).
• Drive a culture of continuous improvement by championing standardization, optimization, and automation.
• Own incident response, root cause analysis (RCA), and executive-level communication during critical events.
• Foster a best-in-class operations team by bringing fresh perspectives, leadership acumen, and a focus on employee engagement.
• Change Policy Architect: Design and enforce the global DCIM Workflow and Change Management policies (MAC process), ensuring strict ITIL/ITSM compliance across IT, Facilities, and Deployment teams worldwide.
• Technical Integration Leader: Support the complex, bi-directional API/database integration between Nlyte and core enterprise systems (ERP, CMDB, etc) to automate asset management and trigger workflow requests.
• Capacity Strategy: Partner with the DCIM Analyst and our Capacity Planning team to develop forward-looking capacity models, ensuring resource availability and optimization for new services like Workers AI and R2.
• Governance & Leadership: Establish and track key operational metrics (e.g., Workflow Compliance KPIs, Data Accuracy Rate), providing executive reporting on infrastructure risk.
• Lead and mentor the DCI Administrator and Analyst and members across the Infrastructure Engineering organization.

Qualifications:

• Education: Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field, or equivalent practical experience.
• Experience: 7+ years in Infrastructure/Data Center Operations, including inventory control and asset lifecycle. 4+ years managing a major DCIM platform (Nlyte preferred).
• Proven ability to lead complex, cross-functional programs and manage vendor relationships in a high-velocity environment.
• Experience with leading change management in ERP and asset management transformation efforts.
• Technical Skills: Expert with ERP asset management and maintenance management functionalities. Expert-level knowledge of ITIL v4, particularly Change and Configuration Management, with demonstrable experience enforcing standards at a global scale.
• Soft Skills: Exceptional attention to detail and strong organizational skills. Excellent problem-solving and root cause analysis capabilities. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present recommendations to various stakeholders.
• Customer service-oriented with a proactive and collaborative team approach.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to equip developers with the tools and resources they need to build better web applications, and protect users from cyber threats.

XML job scraping automation by YubHub

The role combines planning, advanced analytics, and business partnership to drive scalable, data-driven workforce decisions in a complex, fast-changing environment.

Key responsibilities include:

• Demand Forecasting & Statistical Modeling: Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels.
• Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques.
• Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies.
• Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis.
• Perform scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events.
• Continuously assess model performance using statistical accuracy metrics.
• Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis.
• Research, prototype, and implement new forecasting and optimization techniques as business needs evolve.

Advanced Analytics: In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness.

Decision Support & Stakeholder Communication: Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats and act as a trusted advisor to senior leadership and participate in demand/capacity planning discussions in cross-functional forums.

Your Expertise:

• 10+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics.
• Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field.
• Strong foundation in probability, statistics, and optimization.
• Hands-on experience building and validating forecasting models and capacity models.
• Strong understanding of contact center metrics and experience supporting large-scale, multi-site, or global contact center environments.
• Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python, and data visualization tools such as Tableau.
• Experience with WFM tools or planning platforms preferred.
• Strong business acumen with the ability to balance cost efficiency and customer experience outcomes.
• Excellent communication, executive presentation, and stakeholder influence skills.

Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $168,000-$210,000 USD

XML job scraping automation by YubHub

Your responsibilities will span the full production lifecycle, including equipment and process selection, factory layout, capacity planning, staffing, new product introduction, and collaboration with design engineering to champion design-for-manufacturability improvements.

The ideal candidate is self-driven, extremely detail-oriented, and thrives in a highly cross-functional, dynamic environment while effectively mentoring and guiding others.

If you are a proven PCBA production leader who thrives in a fast-paced total-ownership environment, and are ready for your next challenge - this role might be for you.

Key Responsibilities:

• Lead a team of engineers, specialists, and technicians performing component and PCBA processes for dev and flight hardware to drawing, process specifications, and work order requirements through all phases of the product life cycle

• Interface with engineering, production, and supply chain to communicate and resolve nonconformances while ensuring timely escalation and pursuing corrective action as required

• Champion Design-for-Manufacturing (DFM) with design engineering to evaluate and influence hardware designs for manufacturability

• Develop and implement an effective, robust, and efficient production strategy to establish internal PCBA production capabilities that enable our factory rate targets

• Take direct ownership of the physical production layout, optimizing for material flow from receiving through all processes leading to the finished product

• Develop new processes, GSE, tooling, etc to support the production of new hardware designs, as well as continuous improvement of existing processes

• Create, maintain, and communicate detailed schedules to ensure your team and other stakeholders are aware of milestones and deadlines

• Create metrics and tools to monitor production success such as product yield and on-time delivery

• Create and enforce a culture of safety and quality throughout the workplace

Requirements:

• Bachelor's of Science in Mechanical Engineering, Electrical Engineering, or equivalent technical degree

• 5+ years of PCBA experience in an aerospace, military, or manufacturing environment

• 3+ years in a leadership or team lead capacity transitioning products from development to production

Bonus:

• Experience in a fast-paced, iterative design or manufacturing environment within the aerospace, automotive, or consumer electronics industries

• Experience with the design and manufacturing of high-reliability electronics

• Ability to develop and maintain high-performing suppliers and contract manufacturers

• Experience transitioning products from design to manufacturing and scaling to high volume

• Experience implementing automation into production processes

• Experience with design of experiments, gauge repeatability and reproducibility, and process qualifications

• Experience working with and defining requirements for ERP, MRP, and MES systems

• Knowledgeable with ISO 9001/AS9100 quality management systems

XML job scraping automation by YubHub

As a Software Engineer on the Storage team at Cursor, you'll own the data layer that underpins every product surface: the databases, caches, and the strategy for how teams provision, query, and scale their data stores.

Millions of developers depend on Cursor every day, and the future of our storage architecture is one of the highest-leverage problems at the company: get it right, and every team ships faster, every product surface gets more reliable, and Cursor can scale to meet explosive demand. You'll design and execute the path to a robust, multi-database topology built for that growth.

Example projects include...

• Designing the next-generation data architecture: evolving our storage layer into a partitioned, resilient topology that keeps pace with Cursor's rapid growth.

• Building query attribution and guardrails: instrumenting every database query by service, catching bad patterns before they hit production, and making it impossible to ship problematic queries without review.

• Defining the 'when to use what' strategy for data stores: creating clear guidance and golden pathways so every team picks the right engine for their workload without second-guessing.

• Owning cache infrastructure end-to-end: reliability, capacity planning, and patterns that let product teams move fast without worrying about cache correctness.

You may be a fit if

• You have deep experience with relational databases at scale, especially Postgres, MySQL, or similar OLTP systems.

• You've tackled database sharding, migration, or decomposition problems in production environments.

• You understand the tradeoffs between different storage engines and can help teams make the right choices for their workloads.

• You care about operational excellence: backups, monitoring, query performance, and capacity planning are things you think about proactively.

• You have strong software engineering fundamentals and enjoy building systems that other engineers depend on.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

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.

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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.

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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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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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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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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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