In this role, you will design and build systems that optimize cloud usage and scale for global expansion. You will contribute to system architecture and execution with a focus on distributed systems. You will co-author roadmaps, setting the vision for infrastructure scalability, reliability, and engineering velocity.

You will develop effective partnerships across engineering, security, and product teams to ensure alignment of infrastructure goals. You will lead design reviews for projects, with a focus on system reliability, scalability, and maintainability. You will partner with Security to ensure infrastructure is secure by default.

You will deeply understand how to leverage Temporal's platform to power infrastructure at scale. You will gain insights into customer needs and translate them into infrastructure design decisions. You will explore new technologies and approaches to enhance infrastructure reliability and scalability.

You will share and advocate for design principles to build reliable systems at scale. You will mentor and grow other engineers, fostering a culture of learning and collaboration. You will drive alignment across teams, ensuring roadmaps and priorities remain connected to organizational goals.

To be successful in this role, you will need proven experience leading complex, cross-functional engineering efforts focused on cloud, compute, networking, and storage infrastructure. You will need exceptional collaboration and communication skills, with the ability to drive alignment across diverse teams and stakeholders.

You will need a track record of contributing to long-term technical roadmaps and making thoughtful system-level tradeoffs. You will need at least 8+ years of coding experience in languages such as Go, Java, or similar, with expertise in writing concurrent code.

You will need strong experience designing distributed systems and utilizing concurrency primitives. You will need deep expertise in at least one infrastructure domain (e.g., compute, networking, storage) and familiarity with related domains.

You will need hands-on experience with one or more cloud providers (e.g., AWS, GCP, Azure), with an understanding of how to optimize for cost, performance, and reliability.

You will need a passion for driving technical excellence, scalability, and operational reliability in cloud-based infrastructure.

The estimated pay range for this role is $212,000 - $286,000 depending on experience and location. This role is eligible to participate in Temporal's equity plan.

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Key responsibilities include:

• Building and scaling a high-performing engineering team focused on Security, Access, and Regulatory Compliance
• Leading the team and company to win the regulatory market by making the platform secure and compliant
• Defining and executing the strategy for secure frameworks, primitives, and tooling used across Databricks
• Partnering closely with engineering and product leaders across the company to ensure security/compliance by design in all new initiatives
• Driving adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services
• Providing technical oversight for secure system design and guiding efforts to reduce technical debt in core security components
• Representing Databricks and our security practices internally to senior leadership and externally to the industry

Requirements include:

• A strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale
• A deep understanding of the relevant domains and infrastructure
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution
• Strong communication and leadership skills, with the ability to evangelize security and inspire teams and stakeholders
• A BS, MS, or PhD in Computer Science or a related technical field

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work.

We're all in on this mission.

If you are too, let's talk.

What You'll Own:

• Unified Build Architectures: Design and implement modular, reusable build stages that define how all code at Okta is tested, secured, and packaged.
• Systems Innovation: Solve deep scaling bottlenecks (e.g., Monorepo segmentation, dependency resolution) to accelerate thousands of developers.
• Infrastructure as Code: Own the delivery of highly available build agents and artifact registries using Golang, Terraform, and AWS.
• Engineering Excellence: Champion 'Build-it-once' philosophies, creating self-healing systems that reduce operational toil and eliminate reactive support.

What We Are Looking For:

• Experience: 6+ years in Platform or Infrastructure Engineering, specifically building large-scale CI/Build Platform.
• Expertise: Advanced proficiency in Golang for tooling and Terraform for infrastructure orchestration.
• Containerization: Mastery of Kubernetes (K8s) and container primitives for build execution.
• Scale Mindset: A proven track record of investigating distributed system failures and delivering performant solutions at scale.
• Ownership: You don't just write code; you own the reliability, cost-efficiency, and security guardrails of the entire ecosystem.

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate.

Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran.

We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process.

In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations.

For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/

Benefits

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

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Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.

We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.

Specifically, we are looking for you to:

• Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue
• Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept
• Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline
• Evangelize and represent Cloudflare through technical thought leadership and expertise
• Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers

You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.

Examples of desirable skills, knowledge and experience include:

• Fluency in Dutch and English (verbal and written)
• Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders
• Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)
• Experience managing technical sales cycles end-to-end
• Ability to articulate business value and ROI of technical solutions, not just features
• Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)
• Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting
• Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN
• Cloud networking concepts: VPCs, peering, interconnect
• DDoS attack types (L3/L4/L7) and mitigation strategies
• Web Application Firewall (WAF) rule configuration and tuning
• VPN concepts and their limitations relative to Zero Trust approaches
• API security: API Gateway, rate limiting, schema validation, abuse prevention
• Bot management concepts and detection techniques
• SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)
• Zero Trust Network Access (ZTNA) vs. traditional VPN architecture
• HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics
• Detailed understanding of the flow from user to application, including hybrid cloud architectures
• Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)
• Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)
• Cloudflare Workers and the edge compute model (JavaScript/TypeScript)
• Familiarity with related primitives: KV, Object storage, serverless compute
• Familiarity with the competitive landscape across Cloudflare's product areas
• Understanding of why customers move from on-premises appliances to cloud-delivered security
• Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare

We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we'd love to hear from you.

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

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Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.

Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we'll treat that as useful signals. The questions these projects are designed to answer include:

• Can our core research workflows survive extreme isolation?
• Can we get cryptographic guarantees where we currently rely on trust?
• Can AI become our most effective security control?

As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.

Current Project Areas

The portfolio evolves based on what we learn. Current areas include:

• Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact
• Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production
• Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)
• Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring
• Prototyping API-only access regimes where even internal research workflows never touch raw model weights

Part of your job is helping shape what comes next based on gaps uncovered in the current round.

Responsibilities

• Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results
• Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast
• Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.
• Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break
• Evaluate and integrate emerging security technologies through coordination with external vendors and research groups
• Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments
• Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments
• Help scope and prioritize the next wave of Labs projects based on what the current round uncovers

Requirements

• 7+ years of software or security engineering experience, with a solid foundation in production systems
• Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal
• Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly
• A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan
• Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on
• Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward
• Genuine curiosity about what it would actually take to defend against a nation-state-level adversary
• Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well
• Bachelor's degree in Computer Science, a related field, or equivalent industry experience required.

Nice to Have

• Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter
• Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them
• Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives
• Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need
• Background building or operating security systems in environments that demand rapid iteration rather than rigid change control
• Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal

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We are looking for a Senior Engineering Manager to lead Security Foundation Engineering and set the direction for how security is built into every layer of our platform. The impact you will have:

• Build and scale a high-performing engineering team focused on Security, Access, and Regulatory Compliance.
• Lead the team and company to win the regulatory market by making the platform secure and compliant.
• Define and execute the strategy for secure frameworks, primitives, and tooling used across Databricks.
• Partner closely with engineering and product leaders across the company to ensure security/compliance by design in all new initiatives.
• Drive adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services.
• Provide technical oversight for secure system design and guide efforts to reduce technical debt in core security components.
• Represent Databricks and our security practices internally to senior leadership and externally to the industry.

What we look for:

• Strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale.
• Deep understanding of the relevant domains and infrastructure.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution.
• Strong communication and leadership skills, with the ability to evangelize security and inspire teams and stakeholders.
• BS, MS, or PhD in Computer Science or a related technical field.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Key responsibilities include:

• Defining and executing the strategy for secure frameworks, primitives, and tooling used across Databricks
• Partnering closely with engineering and product leaders across the company to ensure security/compliance by design in all new initiatives
• Driving adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services
• Providing technical oversight for secure system design and guiding efforts to reduce technical debt in core security components
• Representing Databricks and our security practices internally to senior leadership and externally to the industry

Requirements include:

• Strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale
• Deep understanding of the relevant domains and infrastructure
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution
• Strong communication and leadership skills, with the ability to evangelize security and inspire teams and stakeholders

Preferred qualifications include a BS, MS, or PhD in Computer Science or a related technical field.

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You'll partner with Security, Platform, Core Experience, Protocols, and Compliance to ship secure-by-default capabilities that meet bank-grade and auditor expectations while preserving developer velocity and client experience. You will define and own the roadmap for security platform capabilities across cloud defense, secrets management, HSM-bound workflows, and secure-by-default developer tooling.

You'll translate regulatory, audit, and risk requirements into usable product surfaces and guardrails for internal teams and client-facing flows. You will also establish crisp product requirements, success metrics, and post-ship control evidence so Security, Risk, and Audit can verify effectiveness without slowing teams.

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Security Product Manager role:

Technical Skills:

• Work closely with the security engineering team on the detail prioritization of the security product roadmap, balancing new capability development with technical debt retirement to ensure long-term platform health.
• Demonstrate deep strategic thinking in shaping the roadmap, considering threat landscape, regulatory requirements, competitive positioning, and customer needs to drive long-term security product success.
• Deliver complex, cross-functional security projects with multiple dependencies (Security Engineering, Platform, Core Experience, Compliance), demonstrating strong product management skills and ability to drive swift execution while maintaining quality.
• Drive comprehensive go-to-market strategy for security capabilities, including defining success metrics, tracking KPIs, and iterating based on data-driven insights.

Complexity and Impact of Work:

• Contribute strategic insights that significantly impact company direction, control coverage, and the security roadmap.
• Demonstrate product leadership that elevates team performance and effectiveness across security and platform domains.

Organizational Knowledge:

• Develop deep understanding of Anchorage's business model, organizational structure, regulatory posture, and strategic priorities.
• Build and maintain strong relationships with stakeholders across Security, Engineering, Compliance, Risk, and Ops to ensure effective collaboration.
• Navigate and improve organizational processes to enhance efficiency, safety, and auditability across teams.
• Contribute to organizational strategy through security product expertise, control design insights, and market intelligence.
• Drive company objectives through strategic security product decisions and initiatives.

Communication and Influence:

• Effectively influence and motivate others through respectful engagement, aligning teams with broader organizational security and product goals.
• Enable cross-functional collaboration through clear, consistent communication and strategic influence on decision-making at every level of the organization.
• Communicate clearly with executives, auditors, and prospective customers on control intent, coverage, evidence, and roadmap tradeoffs.
• Act as a thoughtful knowledge partner to senior leadership, helping improve organizational security dynamics through empathetic understanding.

You may be a fit for this role if you have:

• 6+ years in product management with 3+ focused on platform or security products in regulated or high-assurance environments.
• Strong technical fluency in one or more: cryptographic primitives, authN/Z, HSMs and key management, secrets management, secure software delivery, runtime isolation, threat modeling.
• Proven record shipping platform controls that are both developer-friendly and audit-ready.
• Experience converting regulatory or control frameworks (e.g., SOC 2, FFIEC, OCC expectations, ISO 27001) into practical product requirements.
• Comfortable operating across deeply technical teams and non-technical stakeholders (Security, Compliance, Risk, Ops, Client Success).
• Excellent written and verbal communication skills, adept at conveying complex security concepts clearly to diverse audiences.
• Experience in driving and managing complex projects across multiple teams, demonstrating exceptional leadership and problem-solving skills.
• Your empathy and adaptability not only complement others' working styles but also embody our culture of curiosity, creativity, and shared understanding.
• You self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if:

• Experience in digital assets or financial infrastructure.
• Hands-on experience with hardware signing flows, policy engines, or secure enclave/HSM integrations.
• Built systems for straight-through-processing with pre-authorization risk decisions.
• Familiarity with incident response and detection engineering product needs.
• You have written your own smart contract or dApp.
• You have built 0 to 1 products for financial institutions either as a PM or a developer.

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology.

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We are seeking an experienced Engineering Manager to join our Agentic Commerce team at Stripe. As an Engineering Manager, you will own the shaping and delivery of transformative products that redefine how commerce works, making it more fluid, automated, and aligned with user intent.

Responsibilities:

• Build full stack solutions across Stripe's ecosystem, including back end services, dashboard interfaces, money movement systems, and integrations with other Stripe primitives
• Partner deeply with product management and design to ship high impact features that increase user autonomy and reduce friction
• Strong analytical skills: comfort diving into data to test hypotheses and make informed trade-offs
• Collaborate cross-functionally across Stripe's broader platform and product teams to integrate agentic commerce capabilities seamlessly
• Engage directly with users (particularly large enterprises) to understand their business needs and translate requirements into novel product shapes

Requirements:

• 10+ years of engineering experience with a computer science background with hands on development expertise
• Proven experience coaching and developing senior and staff level individual contributors
• Demonstrated experience of leading initiatives that touch large engineering organizations, spanning multiple teams to influence tech roadmap planning and execution
• Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles
• Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts
• Deep empathy for users balancing autonomy and guidance in digital commerce experiences

Preferred Qualifications:

• 5+ years of engineering management experience
• Experience building APIs or new integration experiences for users, several of them being enterprise grade
• You've been on the found team of a business / startup, taking a product from 0-1
• Experience in eCommerce
• AI-native and very comfortable autonomously solving problems with agentic AI tools

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Key Responsibilities:

• Engineer Secure Foundations: You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows.
• Security-as-Code & Scalability: Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline.
• Collaborative Code Ownership: You will serve as a technical authority in cross-functional code reviews, acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request.
• Proactive System Hardening: You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge,proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem.

Professional Requirements:

• Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management.
• Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code,ideally in Golang.
• A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect.
• A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes.
• A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability.
• A belief that if it isn't tested, it's broken, and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge.

Our Team Philosophy: The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

About the role:

• Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight
• Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
• Mentor engineers across the security team and broader engineering organisation, contribute to hiring, and grow security engineering culture at Anthropic
• Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team

Developer security and supply chain

• Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement

Identity and secrets management

• Architect systems that protect sensitive assets including model weights, customer data, and training datasets
• Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments

Infrastructure security

• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Secure frameworks

• Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves
• Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls

You may be a good fit if you have:

• At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
• Deep understanding of identity systems, cryptographic primitives, and secrets management
• Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
• Experience leading cross-functional security initiatives and navigating complex organisational dynamics
• Outstanding communication skills, translating technical concepts effectively across all levels of the organisation
• A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure
• Built security frameworks or libraries adopted across an engineering organisation
• Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations
• Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimisation
• Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent
• Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation
• Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance
• Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement
• Experience building runtime security monitoring using eBPF or kernel security policies

Deadline to apply:

None, applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning the total amount of money an employee is expected to earn in a year, including bonuses and other forms of compensation.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities.

Responsibilities:

• Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
• Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

You may be a good fit if you have:

• At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go or Rust
• Experience contributing to cloud security controls
• A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
• Clear communication skills and the ability to work collaboratively across engineering teams
• Low ego and high empathy, with a genuine interest in helping teammates succeed
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
• Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
• Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
• Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
• Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
• Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
• Background building or operating security systems in environments that support research workflows and rapid iteration

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of unsolicited messages or requests for sensitive information.

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Design Verification Engineer

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $226K – $445K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team:

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale.

In this role you will:

• Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality.

• Define verification plans based on architecture and microarchitecture specs.

• Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies.

• Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness.

• Drive bug triage, root cause analysis, and work closely with design teams on resolution.

• Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments.

You might thrive in this role if you have:

• BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification.

• Proven success verifying complex IP or SoC designs in industry-standard flows

• Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi).

• Strong knowledge of computer architecture concepts, memory and cache systems, coherency, interconnects, and/or ML compute primitives.

• Familiarity with performance modeling, formal verification, or emulation is a plus.

• Experience working in fast-paced, cross-disciplinary teams with a passion for building reliable hardware.

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

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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Seattle; San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $325K – $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 Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for a Senior iOS Engineer to build the core mobile monetization experiences and iOS foundations that power how users sign up, manage their account, access family features, pay for services, and interact with monetized experiences safely and confidently across OpenAI’s mobile apps.

This is a 0→1, greenfield opportunity: you’ll help define the architecture, primitives, and reusable frameworks that product teams depend on to ship quickly while meeting the highest standards for security, reliability, privacy, and user trust. You’ll partner closely with backend, product, design, safety, and research to translate evolving requirements into high-quality iOS systems and experiences.

In this role, you will:

• Build and ship new monetization experiences on iOS, including purchase flows, subscription/plan management, and monetization-adjacent surfaces that showcase the power of AI.
• Design and maintain shared iOS frameworks and primitives for account, trust, and commerce flows used across OpenAI’s mobile apps (e.g., identity, entitlements, payments, policy-aware UX).
• Own complex client-side systems spanning UI, networking, local state, observability, and Apple platform integrations (StoreKit, Sign in with Apple, device security primitives, etc.).
• Optimize performance, reliability, and responsiveness for global-scale usage, including robust offline/poor-network handling and safe rollout strategies.
• Establish and evolve testing frameworks (unit, integration, snapshot/UI, and end-to-end) and refine architecture for long-term maintainability.
• Collaborate deeply with Product, Design, Research, and backend teams to translate ambiguous goals into durable systems and delightful experiences.
• Help uphold the highest levels of safety, privacy, fairness, and policy compliance across monetization experiences.
• Provide technical leadership through architectural reviews, mentoring, and setting engineering standards across iOS monetization foundations.

You might thrive in this role if you

• Have 4+ years of professional software engineering experience with significant iOS ownership.
• Have a proven track record shipping high-quality iOS apps in production for business-critical, reliability-sensitive systems.
• Are fluent in Swift and experienced with Apple’s ecosystem (Xcode, SwiftUI).
• Have owned complex mobile systems end-to-end (architecture, delivery, instrumentation, quality, and operations).
• Care deeply about performance, security, privacy, and user experience, especially in flows involving identity and payments.
• Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $255K – $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.

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

ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change.

The job of ChatGPT Infrastructure is to build and operate the platforms that make fast iteration possible without breaking performance or reliability. We design the shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on when shipping changes to ChatGPT at scale.

We focus on high-leverage infrastructure: primitives and “golden paths” that turn hard-won operational lessons into defaults—so engineers don’t need to rediscover the same failure modes, latency pitfalls, or integration issues each time they build something new.

About the Role

We’re hiring Senior and Staff engineers to design and build infrastructure systems that sit underneath ChatGPT and multiply the effectiveness of the teams building user experiences.

This is not a “keep the lights on” role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling that makes safe, fast iteration the norm. Your work will show up as less friction, fewer regressions, better performance, and systems that scale gracefully as the product expands.

Where You Can Have Impact

You might work on one or more of these areas (without being locked into any single lane):

• Platform foundations & frameworks: core libraries, service frameworks, and shared components that standardize how systems are built, integrated, and evolved.

• Scalability & performance primitives: patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand grows.

• Reliability guardrails: mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and “make it hard to regress” controls.

• Developer productivity via golden paths: paved roads for common workflows (data access patterns, service integration patterns, request lifecycle patterns) that are fast, safe, and easy to use.

• Observability & debugging systems: instrumentation, metrics models, and investigative tooling that turn “it’s slow” into a precise, actionable diagnosis.

• Safe change management: deployment and rollout systems that support rapid iteration with confidence—progressive delivery, automated verification, and fast rollback strategies.

• Interface and contract design across boundaries: clean APIs and stable contracts that reduce coupling and allow independent evolution across a complex ecosystem.

What You’ll Do

• Build and evolve infrastructure platforms that many engineers and services depend on.

• Translate messy real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

• Drive improvements in reliability and performance through principled design, measurement, and iterative hardening.

• Partner across engineering and product to identify systemic pain points and turn them into reusable solutions.

• Own outcomes end-to-end: design → implementation → rollout → operational maturity.

Qualifications

**Minimum Qualifications

• Experience building and operating large-scale distributed systems in production (high throughput, concurrency, and failure handling).

• Strong fundamentals in systems design, including caching, consistency, queueing/backpressure, and resilient dependency management.

• Ability to reason about performance (latency distributions, tail behavior, bottlenecks) and translate that into concrete engineering work.

• Track record of building platforms

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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.

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Location

Washington, DC; San Francisco; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $207K – $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 Join the engineering teams that bring OpenAI’s ideas safely to the world!

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector.

You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact.

From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most.

This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role.

In this role, you will:

• Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers.

• Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments.

• Talk to users to understand their problems and design solutions to address them

• Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers.

• Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products

• Optimize applications for speed and scale

You might thrive in this role if you:

• US Citizen

• 5+ years of relevant engineering experience at tech and product-driven companies

• Proficiency with JavaScript, React, and other web technologies

• Proficiency with some backend language (we use Python)

• Some experience with underlying infrastructure primitives like Kubernetes and Terraform

• Interest in AI/ML (direct experience not required)

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

• An interest in enabling public sector use cases with unique 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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