We are looking for a Manager, Development Engineering Solutions to join our team. As a key member of our Advanced Development Unit, you will be responsible for creating proposals to achieve unit goals, identifying designer tools and processes that can be eliminated, simplified, and automated, and providing support and guidance to move activities forward.
\nYour primary focus will be on the design perspective for the innovation and advancement of tools and automation support. You will work closely with our Japan-led future vehicle development project to digitally innovate tools and methods.
\nTo be successful in this role, you will need to have a Bachelor's degree in Engineering and 8+ years of relevant design and development experience. You should be creative, outside the box thinking, and not afraid to challenge the current accepted methods and processes.
\nAs a leader, you will be responsible for managing the daily activities of Team members, prioritizing assignments, monitoring/evaluating work progress, providing mentoring/back-up as needed, addressing performance/associate relations issues, and managing activities including performance reviews, reviewing, and approving time sheets and time off requests.
\nYou will also collaborate with our Department Lead to develop, plan, and implement strategic direction for the team, including defining department budget/staffing needs, selection, and assessment criteria, actively participating in the hiring process, and creating/maintaining operational policies/procedures.
\nIn addition to your technical skills, you should have strong leadership, coaching, and mentoring skills, as well as the ability to troubleshoot complex problems in a team-based environment. You should also be skilled in data analysis and have the ability to appropriately manage confidential information.
\nIf you are a motivated and innovative individual who is passionate about digital innovation and automation, we encourage you to apply for this exciting opportunity.
\nTotal Rewards:
\nCareer Growth:
\nAdditional Offerings:
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\nAt Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
\nWe're the only company offering three integrated solutions for frontier AI development:
\nEnterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
\nFrontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
\nExpert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
\nWhy Join Us
\nHigh-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
\nTechnical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
\nInnovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
\nContinuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
\nClear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
\nThe role
\nWe’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.
\nYou’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.
\nWhat You’ll Do
\nLead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality
\nOwn the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities
\nOversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction
\nEnsure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)
\nDrive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring
\nPartner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements
\nEnable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly
\nStay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions
\nWhat We’re Looking For
\n5+ years of software engineering experience (Python)
\n2+ years of experience managing or leading engineers in fast-paced environments
\nStrong experience with containerization and sandboxing (Docker, Firecracker, or similar)
\nSolid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)
\nBackground in infrastructure, developer tooling, or distributed systems
\nStrong debugging skills and systems thinking across layered, containerized environments
\nAbility to operate in ambiguity and translate loosely defined problems into clear execution plans
\nExcellent communication and stakeholder management skills
\nPreferred
\nExperience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)
\nFamiliarity with cloud infrastructure (GCP or AWS)
\nPrior experience in AI/ML platforms, data companies, or research environments
\nContributions to open-source projects in RL, agents, or developer tooling
\nWhy This Role Matters
\nRL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.
\nIn this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.
\nAbout Alignerr
\nAlignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.
\nLife at Labelbox
\nLocation: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
\nWork Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
\nEnvironment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
\nGrowth: Career advancement opportunities directly tied to your impact
\nVision: Be part of building the foundation for humanity's most transformative technology
\nOur Vision
\nWe believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
\nLabelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
\nAny emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
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\nAct as a thought partner to the leader to strategically align their calendar with their priorities. Plan and execute team events, offsites, activities, and recognition. Assist and/or own content creation, including drafting emails and creating presentations. Manage purchase orders and partner with the leader and finance to track and analyze budget and expenses.
\nProvide support for project-related work, including preparing reports for quarterly business reviews and working with the leader to create onboarding plans for key team members. Additionally, process improvement, participating in strategic organizational activities, managing end-to-end external executive events, managing senior leadership agendas, and partnering with key external stakeholders.
\nMaintain strong partnerships with internal stakeholders, including internal/external comms, talent partners, D&B, FP&A, legal, and recruiting for org effectiveness. Manage and maintain the security of the leader's email inbox, in compliance with our code of ethics and data privacy, security, and protection policies as requested by the Leader.
\nRepresent the organization to internal and external stakeholders. Act as a mentor for other admins, where applicable.phantom{This includes meeting with a mentee on a regular basis and providing guidance and sharing resources to support their growth and development.}
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\nTo be successful in this role, you will need to have:
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\nAt Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.
\nWith teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.
\nAll full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
\nAI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
\nBy the Numbers:
\nWhat Product Management is like at Gusto
\nWe’re looking for high-autonomy, entrepreneurial Product Managers to build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners , owning an entire roadmap end to end and shipping product all the way from strategy through to the nitty-gritty details (some describe this kind of role as a “GM” type role).
\nOur Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll move fast by pairing sharp product judgment with fluency in AI tools , automating what slows teams down and amplifying what makes them creative and high-performing.
\nWe’re boundaryless builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship , using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.
\nAbout the Team
\nWe have a clear vision for how AI-powered tools will transform HR for small businesses, and we're looking for a Senior Product Manager to make it real: sharpen priorities, own outcomes, and partner deeply with engineering and design to ship products that matter.
\nHR Labs powers our HR Partners service offering, Gusto's fastest-growing business line and where many of our boldest AI bets are happening. Our goal is to deliver real human expertise at scale through AI-native tools and agentic workflows.
\nA team of HR professionals delivers expert, personalized guidance to our small business customers, and the platform you build is what makes that possible. You'll own both the customer-facing and internal tools: partner workspaces, agentic workflows, AI-assisted document generation, and the bridge to future customer self-service.
\nHere’s what you’ll do day-to-day:
\nHere’s what we're looking for:
\nIf you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
\nOur cash compensation amount for this role is $184,000/yr to $230,000/yr for New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
\nWhere do PMs at Gusto work? We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the New York office. Our open roles will specify on the careers page and in the job description where the position is eligible for work.
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\nIn this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.
\nResponsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.
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\nPreferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.
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\nYour responsibilities will include contributing to the roadmap for Applied Training, designing and building a complete research cluster experience, owning the Python SDK, and writing documentation for running popular OSS training frameworks on CoreWeave.
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\nAnthropic's sandboxing infrastructure enables Claude to safely execute code and interact with external systems. As we expand Claude's capabilities, the reliability, security, and developer experience of this infrastructure becomes increasingly critical. We're looking for an engineer to join the sandboxing team and help shape both the client-side library/API and the underlying infrastructure.
\nIn this role, you'll combine deep infrastructure expertise with an obsession for developer experience. You'll help maintain and evolve a system that must be correct, performant, and intuitive to use. You'll work closely with internal teams to understand their needs, burn down errors and edge cases, and build a roadmap that anticipates where the product needs to go. This is a role for someone who finds satisfaction in both the craft of building reliable systems and the empathy required to serve developers and researchers well.
\nResponsibilities
\nYou May Be a Good Fit If You
\nStrong Candidates May Also Have
\nRepresentative Projects
\nThese are examples of past work that would indicate a good fit,not a description of the role itself:
\nLogistics
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\nWe 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.
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\nAt Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.
\nAs a Senior Professional Services Consultant for Zero Trust Services/SASE and Network Services, you are an individual contributor working in the post-sales landscape, responsible for the technical execution of solutions and guidance to our customers to get the most value possible from their Cloudflare investment.
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\nDeep understanding of Zero Trust technologies such as Zero Trust Network Access (ZTNA), Secure Web Gateway (SWG), Remote Browser Isolation (RBI), Data Loss Prevention (DLP), CASB and Cloud Email Security
\nDeep understanding of SSO, ADFS, LDAP and SAML and the role of the IdP for SSO.
\nSecurity aspects of an internet property, such as Firewalls, WAFs, Bot Management, Rate Limiting, (M)TLS
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\nExperience working with Reverse & Forward proxies with Content Filtering & DLP technologies
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\nOur DATA values—Determination, Ambition, Teamwork, Accountability—aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.
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\nAnthropic'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.
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\nAs a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
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\nWe 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.
\nYour safety matters to us. To protect yourself from potential
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\nAnthropic'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.
\nAbout the Team
\nOur team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.
\nAbout the role
\nAs a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.
\nJoin us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.
\nResponsibilities:
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\nLogistics
\nEducation 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.
\nVisa 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.
\nWe 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.
\nYour safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
\nHow we're different
\nWe 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.
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\nAs a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
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\nStrong candidates need not have:
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
\nAnnual Salary:
\n£260,000 - £630,000GBP
\nLogistics
\nEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
\nLocation-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.
\nVisa 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.
\nWe 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.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic is a legitimate company and we will never ask you to pay any fees or provide sensitive information via email or phone.
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\nLocation
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\nEmployment Type
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\nDepartment
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\nCompensation
\nThe 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.
\nBenefits
\nAbout the Team
\nThe Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.
\nWe work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.
\nAt the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.
\nAbout the Role
\nAs a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.
\nYour work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.
\nResponsibilities
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\nIf you are a motivated and experienced software engineer looking to join a dynamic team and work on cutting-edge AI infrastructure, please submit your application. We look forward to hearing from you!
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\nLocation
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\nWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.
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\nCodex Cloud owns cloud-based agentic experiences like code review and cloud tasks (with many more on the way), but also the underlying runtime/orchestration layer for cloud-based agentic tasks. That runtime is the execution and infrastructure layer that turns Codex from a code generator into a real AI software engineer operating at scale. It provides secure, sandboxed environments where Codex can run commands, read and write files, execute tests, and iteratively improve its work across real codebases — just like a human developer. More broadly, Codex Runtime is the distributed systems substrate that enables large numbers of supervised AI agents to run inside OpenAI’s and customers’ data centers, tackling increasingly complex goals over long time horizons. By giving agents a real working context and reliable execution environment, Codex Runtime makes it possible for Codex to validate its own changes, debug failures, and deliver production-ready results, defining how AI agents safely, reliably, and at scale interact with the world’s software.
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\nMore details about our benefits are available to candidates during the hiring process.
\nThis 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.
\nLocation: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.
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\nWe build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch.
\nAbout the Role:
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\nAbout OpenAI
\nOpenAI 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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