This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

Requirements:

• 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Annual compensation range for this role is $300,000-$405,000 USD.

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About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

About the Role

Responsibilities:

• Develop monitoring systems to detect unwanted behaviours from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review

• Build abuse detection mechanisms and infrastructure

• Surface abuse patterns to our research teams to harden models at the training stage

• Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You May Be a Good Fit If You:

• Bachelor's degree in Computer Science, Software Engineering or comparable experience

• 5-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection and mitigation

• Proficiency in Python and Typescript

• Ability to work across the stack

• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong Candidates May Also:

• Have experience building trust and safety detection mechanisms and intervention for AI/ML systems

• Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs

• Have worked closely with operational teams to build custom internal tooling

Logistics

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

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

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

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

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

How We're Different

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

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

Come Work With Us!

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

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This role sits at the intersection of product thinking and full-stack engineering. You will work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

No ML or Research experience is required.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

You may be a good fit if you:

• Have 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Representative projects:

• Building interfaces for collecting and managing human feedback on model outputs at scale
• Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
• Developing visualization tools that help researchers understand model behavior and identify failure modes
• Designing reusable components and frameworks that enable rapid development of new research applications
• Building sandboxed execution environments for safely running AI-generated code

Annual compensation range for this role is $300,000-$405,000 USD.

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CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

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

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

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

What You’ll Do

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

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

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

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

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

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

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

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

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

What You’ve Worked On (Minimum Qualifications)

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

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

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

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

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

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

Preferred Qualifications

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

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

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

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

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

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

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

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

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

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

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

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

California Consumer Privacy Act - California applicants only

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As a software engineer on this team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you have significant software engineering experience, particularly building data-intensive applications or internal tooling. You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application development.

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Your responsibilities will include defining and driving Pinterest's technical strategy for agentic engineering, architecting and shipping production systems, reimagining Pinterest's SDLC, owning developer velocity measurement, serving as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration, and driving engineering-wide adoption.

To be successful in this role, you will need 12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale. You will also need demonstrated hands-on experience designing and shipping agentic AI systems in production, experience working in large-scale monorepos or complex multi-service codebases, and familiarity with agentic development best practices.

As a key technical advisor and delegation point, you will work with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect to shape investment priorities and multi-year technical direction. You will also serve as a trusted partner and primary delegation point for the hardest technical questions facing this organization.

This is a startup-within-a-company opportunity, with a charter that is ambitious, problems that are largely unsolved, and systems that you will build will define how an entire engineering organization operates for years.

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Your focus will be on measurable improvements to developer productivity and software delivery outcomes, not feature checklists. You will spend your time deeply embedded with engineering teams: mapping workflows from code to production, identifying friction, defining metrics, and collaborating on designs that make the “right way” the easy way.

In this role, you will:

Own the product vision, strategy, and roadmap for internal developer experience platforms (e.g., CI/CD, internal developer platform, delivery tooling, golden paths). Partner with the broader Product team on product prioritizations, broad product strategy, and shared goals. Partner with engineering leads in Common Services, IaaS, Security, and Customer Experience to identify and prioritize high-value problems across the software delivery lifecycle. Run structured discovery with internal “customers” (engineers, managers, SREs, TPMs) to understand workflows, constraints, and recurring pain points. Define clear problem statements, success metrics, and hypotheses for DevX initiatives (e.g., lead time for change, deployment frequency, MTTR, onboarding time). Write concise, technically rigorous PRDs and collaborate on design docs that align DevX, platform, and security requirements. Manage and prioritize backlogs across multiple teams, balancing foundational platform investments with near-term developer pain and compliance/operational needs. Partner with engineering to plan increments, sequence rollout, and ensure we ship changes that are observable, operable, and reversible. Drive adoption of DevX tooling through documentation, enablement sessions, and feedback loops; treat communication and change management as part of the product. Instrument and review usage analytics, satisfaction surveys, and delivery metrics to assess impact and guide iteration. Champion a “platform as a product” mindset: opinionated defaults, self-service where possible, and strong API / UX contracts for internal customers.

Who You Are:

• 5+ years of experience in product management for developer platforms, internal tooling, infrastructure, or closely related technical products or equivalent experience as an engineering manager / tech lead / staff+ engineer working deeply with CI/CD, internal platforms, and developer productivity.
• Proven ability to translate ambiguous engineering pain into structured problem statements, requirements, and prioritized roadmaps.
• Demonstrated experience owning roadmaps for internal developer or platform products and delivering measurable improvements to developer workflows (e.g., reduced lead time, increased deployment frequency, improved onboarding time).
• Strong technical fluency with modern software delivery stacks (CI/CD pipelines, version control, artifact management, observability, configuration management, infrastructure-as-code).
• Experience working with and designing APIs and backend services (REST/gRPC), and an understanding of how developer interfaces (CLI, SDKs, IaC, consoles) fit together.
• Hands-on experience collaborating with engineering teams that use Kubernetes or other orchestrators, microservices, and cloud-native architectures.
• Comfort using data and metrics to prioritize work, make tradeoffs, and evaluate outcomes.
• Experience leading cross-functional initiatives across multiple teams or orgs, including driving alignment, decision-making, and follow-through in a fast-paced environment.
• Excellent written and verbal communication skills, including the ability to communicate clearly with highly technical stakeholders and distill complex concepts into concise narratives.

Wondering if you’re a good fit?

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

• You love making other engineers’ lives better and can point to specific systems or tools you’ve improved for them.
• You’re curious about how code really gets to production,tooling, process, and culture,and enjoy untangling that complexity.
• You’re an expert in spotting friction in workflows, then designing pragmatic, incremental changes that stick.

Why CoreWeave?

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

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

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

The base salary range for this role is $206,000 to $303,000. 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

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As a senior individual contributor, you'll be accountable for the technical decisions that ripple across the team and beyond. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move.

Responsibilities:

• Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team

• Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap

• Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years

• Identify the highest-leverage engineering investments,often before anyone has asked for them,and drive them to completion

• Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them

• Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale

• Partner with research leads to translate ambiguous research questions into durable engineering solutions

• Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health

If you have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization, you may be a good fit for this role.

Strong candidates may also have experience with designing or scaling eval/evaluation frameworks for ML systems, reinforcement learning infrastructure or training systems, leading technical initiatives in high-performance, demanding environments, research computing, scientific infrastructure, or developer platforms at scale, a strong quantitative foundation (math, physics, or related fields), and expertise in Python and TypeScript.

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

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You will have the opportunity to contribute directly to research projects yourself and have a direct impact on our ability to scale reward development across domains. You will work closely with researchers and translate ambiguous requirements into well-scoped engineering projects.

To be successful in this role, you should have prior research experience and be excited to work closely with researchers. You should have strong Python skills and experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms. You should be comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling.

Strong candidates may also have experience with ML research, building internal tooling and platforms for ML researchers, data quality assessment and pipeline optimization, experiment tracking, evaluation frameworks, or MLOps tooling. They may also have experience with large-scale data processing, Kubernetes, distributed systems, or cloud infrastructure, and familiarity with reinforcement learning or fine-tuning workflows.

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Responsibilities

• Build and maintain service frameworks and shared libraries
• Drive AI adoption, championing AI tools, harnesses, and agentic software development, and establishing standards for APIs, background jobs, and event-driven systems.
• Improve developer workflows (local development, testing, CI/CD, service scaffolding)
• Partner with infrastructure teams to help define how services run in production
• Ensure services are observable, reliable, and production-ready by default
• Drive adoption of platform standards across the organization
• Contribute to system design and architecture across multiple domains

Qualifications

• A minimum 10 years in software engineering, site reliability engineering, or platform engineering
• Advocate for the integration of AI throughout the SDLC to accelerate and improve delivery velocity.
• Strong experience building platforms and paved paths for systems in production environments
• Experience with distributed systems and service-oriented architectures
• Proficiency in modern programming languages such as, Kotlin, Typescript, Go, Python
• Familiarity with cloud infrastructure and containerized environments (e.g., GCP, Kubernetes, Docker)
• Experience building shared libraries, frameworks, or internal tooling
• Ability to work across teams and influence technical direction

Nice to Have

• Familiarity with observability tooling (metrics, logging, tracing)
• Experience with CI/CD systems and developer tooling
• Exposure to high-scale or multi-service environments

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. 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.

About the Role

We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

About OpenAI

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

Additional Information

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

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

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

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We’re looking for a Security Engineering Lead to own and drive Anthropic’s Corporate Security programme. This is a player-coach Tech Lead Manager (TLM) role: you’ll be both the most senior technical individual contributor on corporate security and the people leader for a lean, high-impact team of Security Engineers.

Corporate Security at Anthropic encompasses everything that protects our people, endpoints, networks, SaaS ecosystem, and corporate data—the full surface area outside of production infrastructure. The scope is broad and the team is deliberately small, which means you’ll need deep technical skills across multiple domains, strong judgment about where to invest, and a bias toward automation and engineering-driven solutions over manual process.

You’ll report into Security leadership and partner closely with IT, Infrastructure Security, Detection & Response, and GRC teams. This role is high-visibility and high-autonomy: you’ll be expected to define the roadmap, make architectural decisions, and represent Corporate Security across the company.

Responsibilities:

Technical Leadership & Hands-on Engineering

• Own the security architecture, tooling, and controls for Anthropic’s corporate environment end-to-end, including endpoint fleets (macOS, Windows, ChromeOS), campus and office networks, SaaS applications, mobile devices
• Design, build, and ship security automation, integrations, and internal tooling—including leveraging Claude and LLMs to accelerate security workflows
• Define and enforce security baselines, hardening standards, and configuration policies across all corporate platforms
• Define what it means to operate safely in an environment where AI agents act more like humans than actual humans
• Evaluate, select, deploy, and operate corporate security tools (EDR/XDR, MDM, ZTNA, CASB/SSPM, email security, DLP, browser security, etc.)
• Drive vulnerability management for corporate assets, including patch orchestration, risk-based prioritization, and exception management
• Lead security reviews of new SaaS adoptions, corporate infrastructure changes, and IT projects

People Leadership & Team Building

• Manage, mentor, and grow a purposefully lean team of Security Engineers; set clear expectations, run effective 1:1s, and create an environment where engineers do the best work of their careers
• Hire and build the team as scope expands—own the hiring bar and pipeline for Corporate Security Engineering roles
• Balance your own IC contributions with the team’s needs; know when to go deep on a problem yourself and when to delegate and coach
• Foster a culture of operational excellence, blameless incident review, and continuous improvement

Strategy & Cross-Functional Partnership

• Define and own the Corporate Security roadmap, aligning investments to Anthropic’s risk profile and growth trajectory
• Partner with IT Operations to ensure security is embedded in endpoint provisioning, network design, and SaaS lifecycle management
• Collaborate with Detection & Response on telemetry coverage, detection engineering, and incident handling for corporate-sourced events
• Partner with Infrastructure and Security Engineering teams to ensure security standards are consistent across all of Anthropic
• Communicate security posture, risks, and investment needs to Security leadership and cross-functional stakeholders clearly and persuasively

You may be a good fit if you:

• Have 8+ years of Security Engineering experience in a corporate/enterprise security domain (endpoint security, network security, SaaS security, identity, or a combination)
• Have 2+ years of experience managing or tech-leading a team of engineers, with a demonstrated track record of developing talent and shipping results through others
• Are a strong engineer who still writes code regularly—you can prototype a tool, write a detection, build an integration, or debug a complex configuration issue
• Have deep experience with macOS fleet security (this is our primary platform) and solid working knowledge of Windows and ChromeOS security
• Have hands-on experience deploying and operating EDR/XDR, MDM, ZTNA/zero trust, and identity security solutions at scale
• Understand modern SaaS security challenges: shadow IT, OAuth token sprawl, data exfiltration paths, SaaS-to-SaaS integrations, and SSPM/CASB tooling
• Can work independently with high autonomy, manage ambiguity, and make sound risk-based prioritization decisions in a fast-paced environment
• Have excellent communication skills and can translate complex security topics into clear recommendations for technical and non-technical audiences

Strong candidates may have:

• Securing corporate environments at high-growth AI, cloud, or developer-tools companies
• Maturing a Corporate Security function from early stage, including defining scope, selecting the initial toolset, and hiring the founding team
• Advanced macOS security (system extensions, endpoint security framework, MDM profile engineering, Declarative Device Management)
• Network security architecture for hybrid/multi-office environments, including SD-WAN, ZTNA, DNS security, and network segmentation
• Browser security and isolation technologies (e.g., Island, Talon/Palo Alto, Chrome Enterprise)
• Proficiency in Python, Go, or similar languages for building sec

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Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. 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.

About the Role

We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese _and_ English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

_PREFERRED:_ Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

About OpenAI

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

XML job scraping automation by YubHub

Location

Singapore

Employment Type

Full time

Location Type

Hybrid

Department

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. 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.

About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English, and the interview process will be conducted in English.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

_PREFERRED:_ Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

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

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $405K • 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

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem.

About the Role

As a Senior Software Engineer on the Identity team, you will build and evolve the foundational identity platform that serves all OpenAI users across our products. You’ll lead the design and implementation of core identity systems — including authentication, authorization, access control, and account management — enabling individuals, teams, and businesses to securely manage accounts at scale while keeping the user experience seamless. This role spans our entire product fleet, including ChatGPT, the API, Sora, Codex, and Atlas, and involves close collaboration with product and platform engineers who rely on identity as critical infrastructure. You’ll drive major architectural initiatives, mentor other engineers, and make platform-level decisions where security, correctness, and reliability are paramount.

In this role, you will:

• Architect and build the next generation of Identity at OpenAI – including new use cases such as Agent identity and Sign In With ChatGPT

• Design and build our identity infrastructure for consumer internet scale, while also solving scalability bottlenecks as they arise.

• Build powerful identity primitives, APIs, and internal tooling that enable product teams across OpenAI to integrate seamlessly with the account and access-control layer.

• Collaborate closely with a broad set of stakeholders, including product, design, go-to-market, and other engineers.

You might thrive in this role if you:

• Bring 7+ years of experience building and shipping production systems at product-driven technology companies, with a track record of owning meaningful technical scope.

• Care deeply about reliability, safety, and performance in production environments.

• Have experience or interest in Authentication, Authorization, Federation, and Identity Management.

• Naturally take ownership end-to-end, are comfortable navigating unfamiliar systems, and are eager to learn whatever’s needed to solve hard problems well.

• Thrive in fast-moving environments, bringing structure to ambiguous problems, balancing competing priorities, and making sound tradeoffs as the company and platform evolve.

About OpenAI

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $293K – $385K • 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 Cloud Infrastructure team builds and operates the foundational platform that powers OpenAI’s production AI systems. We own large-scale Kubernetes platforms, cluster lifecycle and upgrades, global networking and traffic routing, service mesh, and the automation and guardrails that make the system reliable, secure, and scalable by default.

Our mission is to make infrastructure predictable and boring at massive scale—so research and product teams can move fast without compromising safety, reliability, or efficiency. We operate at the intersection of platform engineering, distributed systems, and global networking, supporting products used by millions of users worldwide.

About the Role

We are seeking a Senior Engineering Manager to lead core Cloud Infrastructure teams responsible for OpenAI’s Kubernetes-based platform. This role is fundamentally about platform leadership: building teams, setting technical direction, and delivering infrastructure primitives that scale with OpenAI’s growth.

You will manage engineers working on cluster lifecycle, infrastructure automation, reliability mechanisms, and networking foundations. You will partner closely with adjacent infrastructure, security, and product teams to ensure the platform can support rapid expansion in scale, regions, and workloads.

This is a high-ownership leadership role with direct responsibility for production systems operating at extreme scale.

In this role, you will:

• Build, lead, and grow high-performing infrastructure engineering teams.

• Own the evolution of OpenAI’s Kubernetes platform, including cluster lifecycle, upgrades, configuration standards, and safety mechanisms.

• Set and enforce platform-level reliability goals (SLIs/SLOs), ensuring reliability is designed into the system.

• Drive infrastructure automation across provisioning, upgrades, remediation, and fleet consistency using Terraform and internal tooling.

• Reduce operational toil and incident frequency through better abstractions, guardrails, and self-healing systems.

• Establish clear ownership boundaries, technical direction, and execution discipline.

You might thrive in this role if you:

• Have significant experience managing infrastructure or platform engineering teams.

• Bring deep hands-on understanding of Kubernetes at scale and distributed systems.

• Have operated production infrastructure with strict reliability, latency, and security requirements.

• Can balance technical depth with organizational leadership and long-term strategy.

• Have a strong track record of hiring, developing, and retaining senior engineers.

• Are comfortable operating in ambiguous, fast-moving environments and creating clarity for others.

Technical Environment

• Kubernetes across many clusters and regions

• Service mesh (Istio / Envoy)

• Global networking and load balancing (Cloudflare, cloud-native primitives)

• Infrastructure-as-code (Terraform) and internal automation

• Observability via metrics, logging, and tracing

• Large-scale production systems with high reliability and safety requirements

About OpenAI

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

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