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Software Engineer, Agent Infrastructure
About the Team The 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. We 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. At 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. Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world. About the Role As 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. Your 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. We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for novel use cases. This role is based in San Francisco, CA, New York City, NY or London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes. - Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production. - Use Terraform to stand up and evolve complex infrastructure for both research and production. - Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications. You might thrive in this role if you: - Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments. - Know how to build new things from 0-1 quickly, and then scale them 1,000,000x. - Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems. - Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform. - Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities. - Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Core Network Engineering
About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. About the Role We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: - Design, build, and operate networking systems that support large-scale AI training and inference infrastructure - Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems - Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure - Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation - Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects - Define and operationalize networking protocols, readiness criteria, and continuous validation systems - Partner closely with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth - Contribute to architecture decisions around topology design, capacity planning, failure domains, and network reliability - Diagnose complex distributed systems and networking issues across large heterogeneous compute environments You might thrive in this role if you: - Have experience building or operating large-scale networking or distributed systems infrastructure - Are comfortable working close to the hardware/software boundary - Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software - Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics - Have experience with datacenter networking, WAN systems, or host networking stacks - Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack - Are comfortable writing production software in languages such as C++, Python, or Go - Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering - Are motivated by building infrastructure that directly accelerates frontier AI research and deployment 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Delivery / CD
About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration. In This Role, You Will - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. - Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. Technologies commonly used in this environment include: - Kubernetes for large-scale container orchestration and runtime infrastructure - Python and FastAPI for internal services - Terraform for infrastructure as code - GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems) - Buildkite for CI orchestration You may be a strong fit if you: - Have worked with Kubernetes-based deployment systems at scale - Have experience building or operating continuous deployment platforms - Are familiar with GitOps tooling such as ArgoCD or Flux - Are excited about building AI-assisted systems and agents that intelligently shepherd software changes from commit to safe production rollout. - Care deeply about safe production rollouts and minimizing blast radius - Enjoy building internal platforms that improve developer productivity across the organization Compensation $230K – $490K + Offers Equity 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Sales Development - Netherlands
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Our Sales Development team play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends - Continuously refine and adjust outreach strategies based on the feedback loop - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness - Collaborate with the sales leadership to analyze data and optimize strategies for better results REQUIREMENTS - 2–3+ years of outbound B2B sales experience, with a strong track record of securing net-new business meetings - Proven ability to build and qualify opportunity-sized lead lists in new markets and verti
Technical Program Manager, Cloud Inference
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking an experienced Technical Program Manager to support our critical cloud deployments. In this role you will be an execution owner, driving coordination and collaboration across multiple engineering teams. You will also support the collaboration and technical execution between our internal engineering teams and our major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry. Your primary focus will be on ensuring tight coordination on engineering deliverables both within our internal teams and between our partner teams, enabling repeatable and efficient product development and launch pipelines for our AI models on third-party platforms. You will be responsible for aligning a range of business and technical stakeholders to drive execution of technical roadmaps, with a particular emphasis on optimizing our presence and performance. This position offers the opportunity to make a significant impact on Anthropic's growth and success in the cloud AI market, while working at the forefront of AI development and innovation. Responsibilities - Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment, and own the plans, timelines, and resourcing to land them. - Own launch readiness for Claude models on partner cloud platforms: checklist, blocker tracking, joint go/no-go with the partner, and post-launch stability follow-through. - Act as the primary technical interface to cloud partner engineering orgs — owning the relationship, the shared roadmap, and day-to-day coordination on deployment, capacity, and incidents. - Drive cross-functional alignment across internal engineering, product, and go-to-market teams to land joint deliverables with the partner. - Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders. You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably involving cloud platforms and AI technologies. - Have strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges. - Have exceptional interpersonal and communication skills, enabling you to influence without authority and build cross-organizational support. - Have a high threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution. - Thrive in fast-paced, scaling environments with the ability to bring order to chaos. - Are passionate about Anthropic's mission and committed to ensuring AI is developed safely. Strong candidates may also have - Direct experience with a hyperscaler's managed AI platform — Amazon Bedrock, Google Vertex AI, or Azure AI Foundry — including how partners list, launch, and onboard customers on it. - Background in ML inference, model serving i
Applied AI Engineer, Enterprise
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Solutions Engineer - Chile
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is onsite and a successful candidate should be based in Chile. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology an
Enterprise Solutions Engineer - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating
Software Engineer, ML Systems & Training Architect...
About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Senior Software Engineer, ML Systems & Training Infrastructure, you will be a deeply hands-on engineering force multiplier for the robotics team. You will help keep the training framework and surrounding infrastructure healthy, review and improve code quickly, debug failures across ML systems and infrastructure, and unblock researchers and engineers when the path from idea to working training job gets rough. We’re looking for people who love writing, reading, reviewing, and fixing code; who can get productive quickly in unfamiliar systems; and who bring strong practical judgment without a lot of ego or process overhead. This role will be based in San Francisco, CA and be expected in office 5 days per week and offer relocation assistance to new employees. In this role, you will: - Review, improve, and clean up code across training frameworks and adjacent infrastructure. - Identify risky or low-quality changes before they land, and raise the code quality bar without slowing the team down. - Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure. - Help researchers and engineers unblock broken training jobs, flaky workflows, and brittle internal tooling. - Improve the reliability, maintainability, and usability of the robotics team’s training framework. - Move quickly on practical engineering problems that directly affect team velocity. You might thrive in this role if you: - Have strong software engineering fundamentals and excellent code review judgment. - Have experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments. - Read and debug unfamiliar codebases quickly, and enjoy getting to root cause. - Ship high-quality code with strong velocity and pragmatic judgment. - Are low-ego, responsive, and motivated by helping researchers and engineers move faster. - Prefer being a highly effective hands-on IC over driving broad process-heavy initiatives. - Have experience reviewing messy, fast-moving, or AI-generated codebases. Compensation Range: $295K - $380K USD 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
JavaScript Engineer (Open Source Team)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain. About the Role We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred. What You'll Do - Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages - Improve documentation across the LangChain ecosystem - Answer user questions and resolve issues from the developer community - Use LangChain to build example applications that demonstrate best practices for developers building AI systems What You'll Bring - 3+ years of software engineering or applied machine learning experience - A background in software engineering - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify the most impactful work and help define the future success of the company - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision Compensation - Annual salary range: $160,000- $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Incident Response Manager, Enforcement
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As the Incident Response Manager, you'll own the operational backbone of how Safeguards responds when things need attention fast. You'll run our on-call program, drive the automation that lets a small team cover a growing surface area, and manage the sensitive cross-functional escalations that cut across Policy, Legal, Safeguards, Product, and Comms. This role calls for someone who has managed scaled escalations and can build durable processes that hold up in fast-moving moments. It requires discernment, close coordination with cross-functional partners during high-stakes situations, and the ability to translate learnings from incidents into improvements to our safety systems. Key responsibilities On-call program ownership - Own the Enforcement On-Call program end-to-end: rotations, coverage models, and escalation paths - Establish and maintain on-call documentation, runbooks, and SOPs so that anyone stepping into the rotation has what they need to act quickly and consistently - Triage tooling issues affecting on-call operations and drive them to resolution with engineering partners - Report out regularly on inbound volume, response metrics, trend lines, and staffing needs to inform long-term investment Cross-functional escalations - Serve as the primary point of contact for sensitive enforcement escalations that require cross-functional coordination across Policy, Legal, Safeguards, Product, and Comms - Absorb information from multiple inputs quickly, frame the decision cleanly, and communicate clear updates, recommendations, and trade-offs to both operational and executive audiences - Drive processes that keep teams aligned and moving during fast-changing situations, including sensitive investigations, product mitigations, and coordinated responses - Manage escalation pathways to law enforcement and NCMEC based on established referral criteria, and track referral volume and trends over time Automation & program maturity - Identify the right repetitive operational work in the on-call and escalations pipeline and partner with engineering to automate it - Expand and mature our rapid response toolkit through hands-on investment in new tools, playbook development, and team adoption - Build dashboards and reporting that give the team and leadership a clear view of enforcement operational health - Continuously improve documentation, quality, and consistency as the program scales Minimum qualifications - <p>
Safeguards Enforcement Analyst, Safety Evaluations
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior. Responsibilities - Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behavior changes to relevant stakeholders - Partner closely with policy and domain experts throughout the evaluation lifecycle — from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities - Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed - Think strategically about eval quality to build processes and eval paradigms that keep evaluations unsaturated, high-signal, and insightful as models improve - Build out processes and frameworks for creating product-specific evaluations as Anthropic's product surface area expands - Help design and scope tooling improvements that accommodate evolving eval needs and expand self-serve eval creation and iteration for non-technical users - Write and maintain rigorous documentation for evaluation creation, execution, and interpretation as the team builds out eval tooling and processes You may be a good fit if you: - Have experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company - Thrive in ambiguous, fast-moving environments — you're energized rather than frustrated when the path forward isn't clearly defined and you need to figure it out as you go - Have experience building processes, workflows, or programs from scratch (zero-to-one work), not just maintaining existing ones - Have strong program management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track - Are eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work - Can manage multiple concurrent workstreams across different domain areas without losing track of details — strong prioritization and cont
Software Engineer, Data Acquisition
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: - Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. - Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. - Work closely with the legal team to handle any compliance or data privacy-related matters. - Develop and deploy highly scalable distributed systems capable of handling petabytes of data. - Architect and implement algorithms for data indexing and search capabilities. - Build and maintain backend services for data storage, including work with key-value databases and synchronization. - Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. - Conduct and analyze experiments on data to provide insights into system performance. Qualifications: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in software development. - Experience with large web crawlers a plus - Strong expertise in large stateful distributed systems and data processing. - Proficiency in Kubernetes, and Infrastructure-as-Code concepts. - Willingness and enthusiasm for trying new approaches and technologies. - Ability to handle multiple tasks and adapt to changing priorities. - Strong communication skills, both written and verbal. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Engineer, Pretraining
About Anthropic 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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment - Care about the societal impacts of your work Preferred Experience: - Work on high-performance, large-scale ML systems - Familiarity with GPUs, Kubernetes, and OS internals - Experience with language modeling using transformer architectures - Knowledge of reinforcement learning techniques - Background in large-scale ETL processes You'll thrive in this role if you: - Have significant software engineering experience - Are results-oriented with a bias towards flexibility and impact - Willingly take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work &l
Manager, Computational Biology (Early Oncology)
Your work will change lives. Including your own. The Impact You’ll Make As a Manager within Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles. You will lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology therapeutics. You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, and proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies that ensure our medicines reach the right patients. In this role, you will: - Lead and Develop: Direct and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, and continuous professional growth. - Drive Target Discovery: Lead the design and execution of analyses for target nomination and validation, using Recursion’s platform to identify novel vulnerabilities in cancer biology. - Define Early Patient Population Strategy: Develop biomarker strategies and patient-stratification hypotheses to support programs as they progress from nomination through hit-to-lead and lead-optimization. - Bridge the Gap: Act as a key "connector," leading your team to pilot innovative analysis methods and collaborating with platform and engineering teams to productionalize and scale these tools for organization-wide impact. - Execute Hands-On: Maintain a 50% individual contribution (IC) load, performing complex data integration and analysis to solve "killer questions" within the oncology portfolio. - Collaborate Cross-Functionally: Partner with biologists, medicinal chemists, and clinical leads to build compelling data packages that drive program milestones and investment decisions. - Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, I&I (immunology and inflammation), and neuroscience and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, immunology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You
Threat Intelligence Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact. This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function. Responsibilities: - Build automated detection systems that use disparate signals to identify abusive behavior. - Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes - Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data - Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations - Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries - Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure - Establish feedback loops with investigators to tune detection systems and reduce false positives - Scrape and normalize data from external sources to feed threat detection and enrichment workflows You may be a good fit if you: - Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation - Have experience with data pipeline orchestration tools (Airflow, DBT, or similar) - Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques - Have experience integrating external APIs and building data ingestion systems - Can translate investigator needs and workflows into technical requirements - Are comfortable building v0 systems and iterating based on user feedback - Have strong communication skills for working closely with non-engineering stakeholders Strong candidates may also have: - Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII) - Background in cyber threat intelligence, security operations, or abuse detection - Experience building MCP servers or similar tool integrations for AI systems - Familiarity with web scraping and data extraction at scale - Experience with behavioral analytics or anomaly detection systems - Understanding of LLM capabilities and how to leverage them for automation - A Top Secret Clearance &l
Agent Post-Training, Frontier Evals and Environmen...
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval , SWE-bench Verified , MLE-bench , PaperBench , and SWE-Lancer . If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you might - Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors - Develop new methodologies for automatically exploring the behavior of these models - Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology - Help steer training for our largest training runs, and see the future first - Design scalable systems and processes to support continuous evaluation - Build self-improvement loops to automate model understanding You might thrive in this role if you - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Youth Well-Being
About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways—especially for youth and families. We work across OpenAI’s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI’s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We’re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You’ll help define how teens and guardians engage with OpenAI products—ensuring those experiences are safe, compliant, and empowering. You’ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You’ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact, 0→1 opportunity to set the standard for how families interact with generative AI. In this role, you will: - Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT. - Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs. - Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale. - Help define safety and well-being metrics, and continuously improve user trust through technical interventions. You might thrive in this role if you: - Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology. - Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale. - Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development. - Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions. - Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Engineer / Research Scientist, Pre-traini...
About Anthropic 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 We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities In this role you will interact with many parts of the engineering and research stacks. - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications & Experience We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply. - Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and deep learning frameworks - Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling - Familiarity with ML Accelerators, Kubernetes, and large-scale data processing - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment You'll thrive in this role if you - Have significant software engineering experience - Are able to balance research goals with practical engineering constraints - Are happy to take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work - Are eager to learn more about machine learning research &l
Research Associate, Biology
About Anthropic 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 Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future. You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill. This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development. Key responsibilities - Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists - Maintain meticulous, reproducible records and contribute to shared protocols - Troubleshoot experiments, propose adjustments, and present results clearly in group meetings - Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories - Learn and adopt new techniques rapidly as projects evolve, with training provided Minimum qualifications - Have hands-on research experience in molecular biology, biochemistry, or a closely related field - Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation &l
Product Support Specialist
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Responsibilities - Become an expert in all Anthropic products - Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products Minimum qualifications - Several years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Experience troubleshooting SSO, SAML, and OAuth authentication flows - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work <li clas
Sales Development - India
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Sales Development Representative (SDR) based in India, at ElevenLabs you will play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market. - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends. - Continuously refine and adjust outreach strategies based on the feedback loop. - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness. - Collaborate with the sales leadership to analyze data and optimize strategies for better results. REQUIREMENTS - 2-3 years outbound B2B sales experience with a track record of securing new business meetings. - Demonstrated ability to build Opportunity s
Connectivity Software Engineer, Consumer Devices
About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA . We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services - Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) - Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) - Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP - Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) - Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes - Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in this role if you: - Have deep experience shipping wireless features on Linux-based products - Are highly proficient in C/C++ with scripting experience (Python or shell) and systems debugging (gdb, strace, logs, packet traces) - Possess deep knowledge of Bluetooth Classic/BLE (HCI, L2CAP, GATT/GAP, profiles) and Wi-Fi (802.11 a/b/g/n/ac/ax, WPA2/3, nl80211, NAN) - Bring hands-on experience with BlueZ, wpa_supplicant/hostapd, NetworkManager, and driver bring-up on ARM64 or x86 platforms - Have a proven track record of improving real-world performance and reliability under RF constraints Preferred qualifications: - Experience with LE Audio (LC3), BLE Mesh, advanced roaming (802.11k/v/r), QoS/WMM, multicast/IGMP - Coexistence tuning across radios (BT/Wi-Fi/UWB/mmWave) and antenna/RF fundamentals with test equipment workflows - Familiarity with UWB (IEEE 802.15.4z, FiRa) ranging/integration; mmWave/Wi-Gig (802.11ad/ay) - Experience with security and provisioning at scale (EAP-TLS, device identity, secure boot, disk/network hardening) - Background in building factory test, interoperability, and certification test plans; upstream/open-source contributions 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Operations Recruiter
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an Operations Recruiter to join our truly global Talent team at ElevenLabs. This is not a conventional recruiter role — you’ll own the full recruiting lifecycle for key Operations functions that keep our company running and scaling smoothly. You’ll identify, attract, and close exceptional talent across functions such as People, Finance, Legal, IT, and other core operational teams. As an essential partner to business leaders, you’ll help shape role strategies, elevate hiring standards, and drive an outstanding candidate experience from first outreach through offer and onboarding. You’ll be part of a small, high-powered team that’s redefining what great hiring looks like and pushing the boundaries of what’s possible in talent acquisition at a global, high-growth AI company. If you’re energized by collaboration, creative problem-solving, and deep ownership — and if you want to build recruiting systems that scale — this is the role for you. WHAT YOUR DAY MIGHT LOOK LIKE - Full-cycle recruiting for Operations roles — from intake and role scoping to offer and close across functions like People, Finance, Legal, IT, and more. - Partnering closely with hiring leaders to refine requirements, anticipate talent needs, and align on role priorities and success signals. - Managing complex, high-impact searches simultaneously with a strong focu
Technical Program Manager, Apps Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is investing in shared platform capabilities that power Claude across our consumer and developer products: the common foundation that Claude, Cowork, Claude Code, and future surfaces are built on. We're hiring a Technical Program Manager to be the connective tissue for this effort, someone who ensures we're building the platform the rest of Anthropic's products are built on, and that product teams actually get leverage from it. This is not a single-team TPM role. You'll work across the platform engineering teams and every product team that consumes the platform, driving one cohesive roadmap rather than a collection of disconnected workstreams. Success looks like products at Anthropic shipping more easily, faster, and more reliably because they're built on a common foundation, with developer velocity increasing measurably across the company, not just within one team. Responsibilities - Own the cross-Apps platform roadmap end to end: sequencing, dependencies, and tradeoffs across platform teams and the apps teams that depend on them - Drive alignment between platform engineering and apps teams so platform investments map to real consumer needs and adoption actually happens (leverage only exists if teams build on the platform) - Identify duplication across surfaces and convert it into shared platform capabilities - Establish the operating rhythm: planning, status, escalation paths, and launch coordination across orgs - Create program documentation including roadmaps, status reports, risk assessments, and communication plans - Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have experience with platform engineering efforts (shared services, developer platforms, or common capabilities consumed by multiple product teams) and can engage meaningfully with the engineers building them - Have driven platform adoption across consuming teams, where success depended on other teams choosing to build on what you shipped - Have experience coordinating across multiple engineering teams and organizations simultaneously - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to users safely and reliably The annual compensation range for this role is listed below.
RE/RS, Data Understanding (MM)
About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. - Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have - Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. - Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Training: ML Framework Engineer
About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs - Profile and optimize our training framework - Work with researchers to enable them to develop the next generation of models You might thrive in this role if you: - Have run small scale ML experiments - Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden - Have strong software engineering skills and are proficient in Python 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engineering Manager, Continuous Deployment and Cha...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's services change constantly. Application code, infrastructure, and runtime configuration all move to production many times a day. Our Safe Change team builds the continuous-deployment and feature-flagging systems that make those changes safe and reliable. The continuous-deployment platform moves a change through staged promotion, runs health checks at each phase of deployment, and gives service owners the levers to respond the moment something regresses. We provide the tools to modify runtime behavior, roll out configuration safely, and test changes. This team provides the paved path that lets everyone at Anthropic ship frequently without trading away reliability or security. We're looking for an engineering manager to lead this team. The continuous-deployment platform is already widely adopted across Anthropic, and the mandate is expanding quickly: bringing configuration changes onto the same safe path as code, supporting additional deployment surfaces, building progressive rollouts, and establishing the golden path for safe deployments that every team across the company will rely on. You'll lead a team building infrastructure that nearly every other engineer at Anthropic depends on, and you'll partner closely with product, inference, security, and infrastructure teams to make deployment safety a standard property of the platform rather than something each team reinvents. Key responsibilities - Lead and grow a team of engineers building Anthropic's continuous-deployment, configuration, and feature-flagging platforms, owning planning, execution, and delivery against key milestones - Set technical direction for the safe deployment of code, infrastructure, and configuration across Anthropic's services - Partner with product, inference, security, and infrastructure teams to migrate services onto the paved path and make safe deployment the default - Drive the roadmap for progressive rollouts, health-check automation, first-class configuration deployment, and expansion to new deployment surfaces - Define and track the metrics that measure deployment safety and speed and hold the team accountable to them - Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where the platform is still being built out - Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team - Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications - Experience managing and growing a team of software engineers - A hands-on software engineering background as an individual contributor prior to moving into management - Experience building or operating backend, distributed, or infrastructure systems in production - <
Deployment Strategist - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineer
Engineering Manager, Connectivity - London
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai , Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't. Key responsibilities - Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management - Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team - Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals - Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment - Drive cross-team and cross-org alignment to ship work that spans claude.ai , Claude Code, Cowork, and the API, working effectively with teams primarily based in the US - Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on - Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team Minimum qualifications - Experience managing software engineering teams, including hiring, coaching, and performance management - A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions - Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale - Excellent communication skills, with the ability to build consensus across teams and ti
Enterprise Solutions Engineer - France
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in France. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology
Software Engineer, Integrity Foundations
About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: - Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. - Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems. You might thrive in this role if you: - Have at least 3 years of professional software engineering experience. - Have experience setting up and maintaining production backend services and data pipelines. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are self-directed and enjoy figuring out the best way to solve a particular problem - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse. - Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do. Our tech stack - Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Program Manager – Adversarial Model Resea...
About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead programs that explore unexpected model behaviors and identify failure modes. - Translate vague or emergent risk signals into clear priorities and actionable research plans. - Design and run creative evaluations, experiments, and red-teaming campaigns. - Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. - Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: - Have strong experience in technical program management, with excellent organizational and communication skills. - Are familiar with large language models, prompt engineering, or model evaluation techniques. - Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. - Are creative and resourceful in devising new methods for testing model behavior and performance. - Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engineering Manager, Multimodal (API)
About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs, we enable users to harness the full potential of diverse AI modalities effectively and at scale. About the Role: We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time multimodal interactions and image generation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images. In this role, you will: - Build, mentor, and grow a high-performing engineering team focused on multimodal API products—including image generation and Live API . - Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap. - Work closely with our research teams to improve our core multimodal models for API customer use cases. - Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience. - Foster a culture of innovation, continuous improvement, and accountability within your team. Qualifications: - Proven experience managing engineering teams that deliver complex, high-quality products at scale. - Strong technical background and proficiency in modern software engineering practices and system architecture. - Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders. - Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation. - Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications: - Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription. - Familiarity with real-time streaming technologies, audio processing, and computer vision. - Hands-on experience with cloud platforms and distributed architectures. Location: This role is in-person at our San Francisco office. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Solutions Engineer - Belgium
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Germany or surrounding area. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate
Research Engineer/Research Scientist, Pre-training
About Anthropic 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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment - Care about the societal impacts of your work Preferred Experience: - Work on high-performance, large-scale ML systems - Familiarity with GPUs, Kubernetes, and OS internals - Experience with language modeling using transformer architectures - Knowledge of reinforcement learning techniques - Background in large-scale ETL processes You'll thrive in this role if you: - Have significant software engineering experience - Are results-oriented with a bias towards flexibility and impact - Willingly take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work - Are eager to learn more about machine learning research - Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects - Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research - View research and engineering as
Technical Recruiter
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a Technical Recruiter to join our truly global Talent team at ElevenLabs. This is not a conventional recruiter role — you’ll own complex, high-impact technical hiring end to end, from shaping the search strategy through to closing truly exceptional talent. You’ll partner deeply with engineering, research, and leadership teams to re-imagine what great technical hiring looks like at scale. You’ll be a key member of a small, high-powered team that’s redefining quality of hire and pushing the boundaries of how world-class technical talent is found, engaged, and hired. This role sits at the intersection of deep technical specialization, high velocity, and an uncompromising bar. If you’re energized by ownership, creative problem-solving, and building hiring systems that scale — this role will stretch and level up your career. WHAT YOUR DAY MIGHT LOOK LIKE - Owning full-cycle recruiting for highly technical roles across product engineering, ML/AI, infrastructure, research, and beyond. - Partnering closely with hiring managers to deeply understand problems, calibrate on signals, and continuously raise the hiring bar. - Designing and executing thoughtful search strategies — from market mapping and outreach to interview design and closing. - Managing multiple complex searches simultaneously without sacrificing candidate experience or qual
Workplace Operations - New York
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This is an exciting opportunity to anchor ElevenLabs' New York office -our second-largest hub. As Workplace Operations lead for our SoHo space, you'll be the go-to person for our rapidly growing US team and a central hub for the New York AI community. You'll own the day-to-day workplace experience: keeping operations running smoothly, maintaining white-glove standards, and driving initiatives that elevate employee experience, optimize costs, and scale our infrastructure as we grow. You'll ensure our office is a place where people love to work. This fully in-office role is based in SoHo with on-site presence. Perfect for a proactive, high-energy individual who thrives at the center of the action and wants to grow their career in a fast-paced AI company. IN THIS ROLE, YOU WILL: - Be the Hub & Culture Driver: Serve as the main point of contact for the office, welcoming guests, leading onboarding, and boosting team culture through curated food/beverage programs, social rituals, and office perks. - Run Daily Operations & Vendors: Manage all day-to-day workplace logistics—including cleaning, maintenance, security, and shipping—while owning vendor relationships from contract negotiations to performance management. - Optimize Space & Landlord Relations: Partner with building management to maintain facilities, establish white-glove service standards, and manage ongoing
Research Engineer / Research Scientist, Tokens
About Anthropic 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: - Have significant software engineering experience - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with: - High performance, large-scale ML systems - GPUs, Kubernetes, Pytorch, or OS internals - Language modeling with transformers - Reinforcement learning - Large-scale ETL Representative projects: - Optimizing the throughput of a new attention mechanism - Comparing the compute efficiency of two Transformer variants - Making a Wikipedia dataset in a format models can easily consume - Scaling a distributed training job to thousands of GPUs - Writing a design doc for fault tolerance strategies - Creating an interactive visualization of attention between tokens in a language model 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 that the range includes both the
Data Science, Finance & Strategy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how we measure the value of our models and our position in the market. These are open questions without an established playbook: how much value do our models deliver per dollar and per token, how is that changing with every launch, how do we compare to the rest of the frontier? You’ll own how Finance quantifies relative model value and market position: maturing our cross-product benchmark suite, building task-cost and price-elasticity estimates that inform live pricing and packaging decisions, sourcing and running capability and market analysis around every model launch, and standing up forecasting on third-party and survey data. The work is open-ended and technical, and you’ll operate as an analytical lead, partnering closely with Product Finance and our model performance Data Science teams. Key responsibilities - Build the relative-value measurement system: evolve our cross-product benchmark into a durable, trusted read on model and product value, spanning coding, agentic, and product-shaped tasks - Inform pricing and packaging: construct task-cost approximations and price-elasticity estimates across differently priced products, and carry them into decisions - Own launch and market analytics: run analytics around model launches, including capability-based revenue analyses and views of the broader market - Deepen our market understanding: evaluate and integrate external datasets and research to strengthen our read on the market and how it's evolving - Partner with Product Finance: take open-ended pricing, packaging, and positioning questions from vague ask to decision-grade answer - Raise the bar: land narratives in executive forums and uplevel the team’s product-finance analytics practice by example Minimum qualifications - Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask - Land narratives with executives: your analyses have changed pricing, product, or competitive decisions, and you can simplify for senior leaders without losing rigor - Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data - Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving - Thrive amid shifting priorities: you juggle multiple fast-moving workstreams and stay effective when the plan changes weekly - Work fluently with modern tooling: you’re strong at data visualization,
Finance & Strategy, GTM (Enterprise Tech)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will be the finance partner to Anthropic's Enterprise sales team responsible for our largest technology and AI-native customers. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making for a book of business scaling faster than almost any in software history, and you'll sit in the room where segment strategy gets decided. GTM Finance & Strategy sits at the epicenter of Anthropic's go-to-market decisions and you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. You'll be the person segment leaders turn to when they need to know where to invest, how to set targets, and whether a deal makes sense. Key responsibilities - Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials - Own revenue forecasting and target-setting for a consumption-based business: build the models that translate usage dynamics, deal commitments, and model launches into credible plans - Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations - Design and pressure-test sales capacity plans and variable compensation structures as the sales team scales - Deliver clear, decision-ready analysis to executives: what happened, why, and what we should do about it - Build the reporting infrastructure (dashboards, scorecards, self-serve metrics) that lets the business run itself; we work hands-on with data and use Claude to do finance in ways that don't exist anywhere else Minimum qualifications - Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking - Experience with consumption/usage-based revenue models (cloud infrastructure, API, or usage-priced products) — forecasting, unit economics, and deal structuring - Built operating models that executives actually used to make headcount, target, or investment decisions - Comfort pulling and shaping your own data (SQL or equivalent) and genuine enthusiasm for using AI tools to multiply your output - Ability to bring structure to ambiguous, zero-to-one problems and drive them to a conclusion under tight timelines - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Excitement about working in a fast paced, dynamic environment and adapt well to change - Possess a bias towards action, strong work ethic,
Engineering Manager, Enterprise
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities - Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale - Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response - Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt - Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities - Shape the roadmap with product and design, not just execute against it - Drive the compliance and platform-readiness work your customers require, partnering with security and legal - Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications - 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools - Are comfortable executing at a fast pace to meet the expectations of our customers - Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable - Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations - Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth <
Safeguards Enforcement Analyst, Chem & Explosives...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities - Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems. - Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes. - Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action. - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. - Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. - Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed. - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. - Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. - Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations. Minimum qualifications - Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a relate
Safeguards Enforcement Analyst, Cyber Harm
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies - Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations - Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders - Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios - Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall - Maintain high accuracy and consistency standards across review queues - Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum Qualifications - Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research - Experience performing content review, abuse investigations, or policy enforcement at volume - Proficiency in SQL and/or Python for data analysis and threat detection - Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications - Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company - Experience with large language models and an understanding of how AI technology could be misused for cyber operations - Experience operating within abuse monitoring programs or enforcement review systems - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space - Experience working with government agencies,
B2B Marketing - North America Generalist
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're hiring a B2B marketer to build the partner marketing and customer advocacy motion for ElevenAgents, our platform for deploying voice and chat agents at enterprise scale. ElevenAgents is deployed across enterprises in every major industry, at companies ranging from high-growth startups to a significant share of the Fortune 500. One week you might be running a joint program with a technology partner at CCW, drawing on a shared MDF budget. Next, you're turning a customer's deployment into a case study that moves the next deal forward. You'll build programs that give customers and partners a reason to publicly champion ElevenLabs - from the people using the product every day to the executives signing the checks. The goal is to 11x the return we get from our partner and customer relationships. REQUIREMENTS - Have run partner co-marketing and/or customer advocacy programs at a high-growth B2B company, and know what moved the needle. - Are a natural storyteller and strong writer who can shape narratives for any audience, from a case study to a conference keynote. - Understand what it takes to build genuine advocacy at enterprise scale - identifying the right customers and partners, earning their trust, and making it easy for them to say yes. - Can measure what you build and communicate results clearly to leadership. - Work well without much proces
Security Engineer, Application Security
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments. We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization. The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Perform Security Assessments : Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software. - Develop and Implement Security Tools : Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats. - Collaborate with Development Teams : Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines. - Threat Modeling and Risk Assessment : Conduct threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies. - Vulnerability Management : Track, analyze, and manage vulnerabilities in applications, providing guidance and support for remediation efforts. - Incident Response Support : Assist in investigating, analyzing, and responding to security incidents related to applications, ensuring timely resolution and documentation of incidents. - Stay Current on Security Trends : Continuously stay updated on the latest security threats, vulnerabilities, and technologies to enhance security measures in applications. You might thrive in this role if you: - Extensive experience in information security, cybersecurity, or a related field, with a significant portion of that experience in leadership or management roles. - Deep understanding of security technologies, tools, and best practices, including experience with secure coding practices, threat modeling, risk assessments, and incident response. - Experience in application security, software development, or related areas with a strong understanding of secure coding practices and application security frameworks. - Proficiency in programming languages (such as Python, Java, C++, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with security protocols and encryption methods. - Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Manufacturing Test Engineer
About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. In This Role, You Will: - Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. - Develop and manage test coverage for: - ICT / structural test - FCT / board-level functional test - Tray-level functional and integration test - System-level manufacturing and bring-up test - Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. - Translate engineering requirements into practical, scalable manufacturing test plans that balance coverage matrices; review and approve EVT/DVT/PVT and production test plans, pass/fail criteria and release gates while balancing coverage, test time, debug efficiency, cost, and production throughput. - Collaborate with system integrators, JDMs, contract manufacturers, and equipment vendors to implement and qualify test stations, fixtures, automation, software, equipment configurations, calibration plans, operator procedures, golden-unit correlation and production workflows. - Review and analyze manufacturing test results, test logs, diagnostic outputs, yield trends, failure paretos, false-failure rates, and station correlation data to identify gaps and drive corrective actions. - Lead or support debug of manufacturing test failures, working cross-functionally to determine whether issues stem from design, process, fixture, software, component, or operator variation. - Drive continuous improvement of test processes, including coverage expansion, cycle-time reduction, parallelization opportunities, power & cooling efficiency optimization, station reliability, data quality, and test escape prevention. - Ensure manufacturing test readiness for new product introduction, including test specifications, validation plans, GR&R/correlation studies, station acceptance, and production release criteria. - Help establish scalable standards and best practices for manufacturing test development across OpenAI’s rapidly growing hardware portfolio. You Might Thrive in This Role If You: - Have experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware. - Understand board-level and system-level test methodologies, including ICT, boundary scan, functional test, burn-in, stress test, and production diagnostics. - Are comfortable working across both engineering development and factory execution, and can bridge the gap between design intent and production implementation. - Have strong hands-on debugging skills and can use test data, BMC/Host logs, diagnostic logs, power & thermal telemetry, schematics, and lab measurements to identify root causes efficiently and drive corrective action. - Communicate clearly with internal teams and external partners, especially when aligning on requirements, debugging ambiguous issues, and driving closure under schedule pressure. - Enjoy operating in a fast-moving, high-ownership environment with significant ambiguity and high expectations for execution. Qualifications - Bachelor’s degree in Electrical Engineering, Computer Engineering, Manufacturing Engineering, or a related technical field, or equivalent practical experience. - 5+ years of experience in manufacturing test engineering, product test, NPI test development, or related hardware test roles. - Experience with one or more of the following on servers and/or AI Accelerators: - ICT or structural board test - Board-level functional test development - Tray, chassis, or system-level manufacturing test - Production diagnostics and debug workflows - Test fixture, rack, or station development - Experience working with contract manufacturers, JDMs, system integrators, or test equipment vendors to deploy and sustain production test solutions. - Strong analytical and problem-solving skills, with experience reviewing test data, yield, failure trends, and manufacturing metrics. - Ability to work cross-functionally with hardware engineering, diagnostics/software, manufacturing, quality, and supplier teams. Preferred Qualifications - Experience with server and AI accelerators plus networking, power, or data center hardware systems. - Experience reviewing or developing manufacturing test automation, Python/Bash or similar scripts, Linux-based diagnostics, data pipelines, CI/release controls, and test software frameworks used in factory environments. - Experience supporting high-volume production ramps and factory bring-up in Asia or other global manufacturing environments. - Knowledge of DFT principles and how design decisions influence testability, debug, and production yield. - Experience with failure analysis, root-cause investigations, and corrective action processes in a manufacturing environment. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Contracts Manager, APAC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Contracts Manager to join our team in Singapore as one of the founding members of our Commercial Legal team in the region. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution, including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. As one of our first commercial legal hires in Singapore, you'll help establish how we build and scale the contracting function across Southeast Asia and the wider APAC region, building scalable processes and collaborating across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities - Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Work cross-functionally with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded and creative solutions - Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams - Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute - Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute Minimum qualifications - Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms - Ability to independently draft, review, and negotiate complex commercial and procurement contracts - Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships <s
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