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Performance Modeling Lead
About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. 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. Key Responsibilities - Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. - Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. - Develop performance models to guide decisions on: - scale-up vs. scale-out architectures - interconnect and network design - memory hierarchy and system balance. - Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. - Influence reference designs and vendor roadmaps through data-driven insights. - Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements. - Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor. - Continuously improve modeling fidelity by validating against real system behavior and measurements. Qualifications - Have experience owning or building performance modeling frameworks used to drive real system design decisions. - Have deep knowledge of AI/ML workloads, including training and/or inference at scale. - Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems. - Are comfortable working across abstraction layers—from workload behavior to hardware implementation. - Have experience using modeling (analytical or simulation) to inform architectural decisions. - Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis. - Communicate clearly and influence both internal teams and external partners. Preferred Skills - Experience working with hardware vendors (ODM/JDM, silicon, networking). - Background in data center infrastructure or hyperscale systems. - Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet). - Experience influencing hardware roadmaps or reference architectures. - Prior experience leading or mentoring engineers. 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.
Senior Data Scientist, Engine Systems
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ENGINE Systems? Engine Systems team builds the foundational systems for networking, servers, asset loading, and data management, all working in harmony to deliver stable and engaging experiences. This role will focus on the System foundation that provides low level technology to enable efficient development of Roblox itself and the games within it. We build profiling support, concurrency, memory management, scalability systems, and crash reporting. We manage the user experience in real-time and monitors device constraints (like a low-end phone vs. a high-end PC) and adjust graphics and performance on the fly. You Will: - Define Reliability & Stability Metrics – Work on system metrics telemetry logging and validation. Establish key performance indicators for Engine systems such as crash rates, runtime error codes, and quality metrics that directly impact creators and players. - Transform & Visualize Data for Actionable Insights – Access and process raw telemetry data, build robust analytics pipelines and deliver clear insights. Help develop solutions that allow the Engine to intelligently scale quality up or down, ensuring that every player—regardless of their hardware—has a smooth, interactive, and immersive experience. - Design Experiments & Apply Causal Inference – Lead A/B experiments and causal analyses to identify performance opportunities, understand the trade-offs between system stability and other quality factors, measure improvements and feature launches to ensure data-driven decision-making. - Drive Cross-Functional Collaboration – Partner closely with Engineering, Product, Technical Program Managers, and teams across Roblox (e.g., Creator Analytics, Growth, Infrastructure, and Economy) to explore new opportunities and navigate ambigu
Senior Backend Engineer, Enterprise Readiness & Id...
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 Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers. About the Role LangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness & Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers. This is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings. Location: In-person 5 days/week in New York City, San Francisco, or Boston. What You'll Do - Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning - Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations - Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale - Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support - Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy - Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability - Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements - Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable - Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities - Write clean, maintainable, and well-documented backend code What You'll Bring - Technical experience - 5+ years of backend engineering experience with Python or Go (both preferred) - Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM - Experience building and scaling access control systems such as RBAC or ABAC frameworks - Experience building billing or usage infrastructure in SaaS environments - Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure Enterprise systems experience - Comfort navigating enterprise security, compliance, and multi-tenant architectures - Prior experience building enterprise-grade SaaS platforms or develop
Software Engineer, API Multicloud
About the Team API Multicloud partners with cloud service providers (CSPs) to bring OpenAI’s frontier models and APIs into the cloud environments where developers and enterprises already build. We own the API end to end across CSP platforms, from API integration and request routing through inference execution, capacity management, and day-to-day operations. Our mission is to make these capabilities available broadly and safely while preserving the reliability and developer experience customers expect from OpenAI. Delivering that experience requires work across the stack: adapting API services and cloud-native integrations, bringing up model-serving environments, validating new releases, and operating the systems that connect customer requests to available capacity. We work directly with CSP engineering teams and partner closely with OpenAI’s inference, API, infrastructure, security, and Safety Systems teams. Together, we turn new model capabilities and partner requirements into dependable production services, with attention to performance, operational readiness, and efficient use of compute. Our work contributes to OpenAI’s AWS partnership , including the launch of Daybreak Red and Daybreak Blue on Amazon Bedrock . We’re building on that foundation to bring OpenAI’s API to additional CSPs. These efforts let customers use OpenAI capabilities within the cloud infrastructure, security controls, and workflows they already rely on. About the Role We’re looking for experienced infrastructure engineers to design, build, and operate the systems that run OpenAI’s API across CSP platforms. You’ll help establish the cloud deployment platform: configuring and launching model-serving environments, planning capacity, improving caching and utilization, and making new releases safe and repeatable. Working closely with inference engineers, you’ll connect advances in model serving to the infrastructure and operational practices needed to run them reliably in production. The role calls for strong distributed systems judgment and comfort moving across API services, cloud infrastructure, deployment tooling, and production debugging. You’ll work directly with CSP engineers to navigate differences in infrastructure, native services, and operating models, resolve integration issues, and build reusable solutions that reduce repeated work as we expand. Your decisions will affect how quickly new capabilities reach customers, how reliably they run, and how efficiently we use cloud resources. In this role, you will: - Design and build cloud infrastructure and distributed services that connect API requests, routing, and model-serving deployments. - Stand up and operate model-serving environments in partnership with inference engineers, bringing new models and serving capabilities into production. - Plan and manage cloud capacity, improving utilization, caching, request performance, and cost efficiency as demand grows. - Create repeatable build, release, and validation processes that catch functional and performance regressions before launch. - Develop reusable infrastructure abstractions that let API capabilities run consistently across CSPs while accommodating provider-specific requirements. - Partner with OpenAI’s inference, API, infrastructure, and security teams and CSP engineers to bring up the API serving stack on new platforms, resolve operational issues, and shape shared technical priorities. - Own production health through observability, incident diagnosis, reliability improvements, and practical automation. Your background might look something like: - 7+ years of experience leading cloud infrastructure or distributed systems projects from architecture through launch and ongoing production ownership. - Strong distributed systems fundamentals and the ability to reason about performance, reliability, and failure modes. - Hands-on experience building and operating services on a major CSP, including deployment systems, networking, storage, and cloud-native integrations. - Strong production coding and debugging skills, with the ability to move confidently through unfamiliar services and infrastructure. - Experience with capacity planning, performance optimization, or operational tooling for production systems at scale. - Sound technical judgment: you can turn ambiguous requirements into practical systems and reusable infrastructure. - Clear technical communication and experience working across teams or organizational boundaries to deliver complex projects. - Curiosity about model serving and AI infrastructure. Experience deploying models is a plus; direct ML or model-training experience 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.
Strategic Deals Lead, Compute, Networking & Memory
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 a Strategic Deals Lead, Compute & Infrastructure team member to drive the planning and execution of programs critical to Anthropic's compute infrastructure strategy. In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritize across technical and non-technical teams, and focus on securing and delivering compute capacity. Anthropic's AI models are available on both our first-party platforms (claude.ai and our API) as well as through our major cloud partners. Ensuring tight coordination between our internal teams and external partners is essential to our ability to stay on the frontier of AI development. You will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships. This role combines technical program management with elements of strategic operations, partnership development, and financial analysis. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems. Key responsibilities - Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives - Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships - Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones - Support the structuring and negotiation of strategic compute deals, including financial modeling, term analysis, and vendor evaluation - Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners - Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility - Analyze financial and operational data to inform decision-making on compute capacity planning and vendor strategy - Provide clear and transparent reporting on program status, issues, and risks to leadership Minimum qualifications - Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data center/infrastructure) - Background in cloud computing, data center infrastructure, compute/silicon development, or technology-focused investment banking or consulting - Familiarity with data center infrastructure, compute hardware, and/or silicon development cycles - Comfort with financial analysis and modeling; experience with vendor financing arrangements is a plus - Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders - Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution - A track r
Enterprise Account Executive, Transportation & Uti...
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 Enterprise Account Executive, Transportation & Utilities based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's transportation and utility infrastructure organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them improve operational resilience, optimize asset performance, and deliver safer and more efficient services with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's railway operators, airlines, logistics providers, electric and gas utilities, and water infrastructure organizations - Build and execute territory plans, identifying high-value opportunities across national and regional rail groups, major carriers, electric power companies, and municipal utility providers - Lead consultative sales processes with senior executives — including CIOs, CDOs, COOs, and heads of operations and safety — positioning AI as a driver for predictive maintenance, energy management, operational efficiency, and infrastructure resilience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent safety, reliability, and regulatory standards governing Japan's critical infrastructure sectors You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to transportation and/or utility accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex, long-cycle sales processes and securing strategic deals with infrastructure-focused organizations by understanding the safety, regulatory, and operational requirements unique to these sectors - Demonstrated ability to navigate the stakeholder ecosystems of asset-heavy industries, building consensus across operations, engineering, IT, and executive leadership with multiple layers of approval - Proven experience exceeding revenue targets by effectively managing pipeline across the long planning and procurement cycles typical of infrastructure organizations - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's transportation and utility sectors combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibilit
Enterprise Account Executive, Industries
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 Industries team partners with the world's largest enterprises across retail, manufacturing, automotive, consumer goods, hospitality, and commercial real estate to deploy frontier AI into the core of how they operate. These are complex, multi-division organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built at the executive level. As an Enterprise Account Executive on the Industries team, you'll own a named book of accounts and the full revenue outcome for each. You'll develop a point of view on where Claude creates the most value across a customer's business, build relationships with the executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. You'll work closely with Product, Applied AI, and GTM leadership to shape how Anthropic shows up in your vertical, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly. This is a role for someone who has owned large, complex accounts end to end and is comfortable operating independently at the executive level. Responsibilities - Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams - Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals - Break into new accounts and cross-sell into existing business alongside our team of Account Executives - Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts - Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options - Prioritize organizations that can serve as lighthouse customers and references within their industries - Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations - Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps - Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have - 8+ years of enterprise software sales experience, with a track record of owning named accounts at large, complex organizations - Experience managing multi-quarter sales cycles involving multiple stakeholders, technical evaluations, and enterprise procurement - A history of growing accounts meaningfully beyond the original engagement by creating demand across new divisions and use cases - Demonstrated ability to independently build and advance relationships at the C-suite and SVP level, including preparing for and leading executive conversations with
Applied AI Engineer - Tokyo
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 engineering 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 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 Tokyo, Japan. 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. - Are able to speak Japanese and English fluently. 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.
Member of Technical Staff (Secure Intelligence Ins...
Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
Staff Software Engineer, Claude.ai
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: Claude.ai is one of the most-used AI products in the world, and the experience we build for our users directly shapes how people interact with AI every day. We're looking for a talented engineer to join the team that builds the consumer web app — the interfaces, interactions, and moments that turn Claude from a capable model into a product people genuinely enjoy using. This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use. The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit. Responsibilities: - Set technical direction for Claude.ai and its features - Build and ship user-facing features for Claude.ai's web experience - Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process - Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build - Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis You may be a good fit if you: - Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience - Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack - Genuinely care about the user experience — not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design - Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser - Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters - Pick up slack, even if it goes outside your job description Strong candidates may also have experience with: - Performance optimization for consumer web apps — profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end - Designing and implementing responsive layouts that work well across screen sizes and devices - Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.) - Working in fast-moving consumer product env
Senior Manager, Financial Reporting
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 Financial Reporting accountant to join our Finance team at Anthropic. In this role, you will be responsible for executing key aspects of our financial reporting processes, ensuring compliance with US GAAP, and supporting the implementation and optimization of our reporting systems. Reporting to the Financial Reporting Lead, you will play an important role in maintaining robust reporting frameworks that support our growth while upholding the highest standards of accuracy and transparency. You will work closely with cross-functional teams to prepare timely and accurate financial statements, support external audit processes, and drive continuous improvement in our reporting capabilities. This role offers the opportunity to contribute to the financial reporting infrastructure of a leading AI company while working at the forefront of transformative technology. Responsibilities: - Prepare and review external financial reporting deliverables, including quarterly and annual financial statements, ensuring full compliance with US GAAP and applicable reporting standards - Execute month-end, quarter-end, and year-end close processes, coordinating with accounting teams to ensure timely and accurate completion - Conduct technical accounting research and prepare documentation for complex transactions, including stock-based compensation (ASC 718), derivatives (ASC 815), lease accounting (ASC 842), as well as supporting implementing new accounting standards - Support the implementation and day-to-day operation of Workiva for financial reporting, controls documentation and compliance - Serve as a key point of contact with external auditors, coordinating audit requests, preparing supporting documentation, and ensuring efficient completion of audit procedures - Support the design and implementation of internal controls over financial reporting (ICFR) - Partner with the Finance Systems team to ensure seamless integration between ERP systems and reporting platforms - Develop and maintain accounting policies and procedures documentation - Collaborate with Legal, Investor Relations, Tax, Equity Accounting and Finance & Strategy teams to ensure alignment between management and external reporting - Contribute to special projects as needed, including system implementations, process improvements, and reporting automation initiatives You may be a good fit if you: - Bachelor's degree in accounting - Hold a CPA license (or equivalent) or are actively pursuing CPA (or equivalent) certification - 7+ years of accounting experience, including experience in public accounting - Possess expertise in US GAAP and SEC reporting experience is a plus - Hands-on experience using Worki
Engagement Manager (NYC)
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high acro
Security Engineer, Detection & Response
We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering — you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. You will: - Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance. - Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity. - Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity. - Perform digital incident investigations to identify and contain potential security breaches. - Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies. - Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows. - Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization. - Utilize threat intelligence platforms to improve hunting, detection, and response workflows. - Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders. Ideally, you'd have: - - 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation. - Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts. - Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments. - Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically. - Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs. - Familiarity with digital forensics tools and malware analysis techniques. - Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate. - Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows. - Strong communication skills, with the ability to translate complex security findings into clear business impact. - Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a
Software Engineer, AI Agents
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Software Engineer, AI Agents Location: India, Bangalore Exp: 5 - 10yrs Why This Role Matters At Cloudflare, we're building industrial-scale AI agents that support customers directly. This isn't research theater. Your code will power real customer interactions from day one, at global scale. Cloudflare already has the parts. You will assemble Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into real agents customers use every day. Role Intent Ship production agents on the Cloudflare stack. Build, deploy, learn, repeat. Your code is the front door for Cloudflare customers. What You Will Do - Build agents on Workers with Durable Objects for state and short term memory - Wire tools with the Agent SDK, MCP, and function calling - Use Vectorize, KV, R2, and D1 for semantic memory, cache, files, and config - Run models through Workers AI and AI Gateway; integrate third parties when needed - Create evals, guardrails, and audits. Measure, tune, re-ship fast - Build agents that summarize, propose fixes, and escalate cleanly to humans - Expose agent health and metrics in transparent dashboards. No mystery boxes - Integrate with queues and webhooks; publish events on Queues or Pub/Sub - Cut cost per case and time to first response. Prove it with data. - Take end to end ownership including on call for what you ship (with team support) - Design and maintain robust observability for distributed AI workflows, implementing structured logging and end-to-end tracing across async service boundaries to ensure visibility into agent reasoning and execution. - Architect security boundaries for agent-led operations; implementing secure credential handling, multi-layer approval gates, and fine-grained trust scoping for mutative actions. Must Have - Demonstrated success shipping production systems. Repos and releases that show real work. - Strong in TypeScript or Rust on Workers. HTTP, queues, async, performance - Fluency with Durable Objects, KV or R2, and either D1 or Postgres - Hands on with model tooling. Prompt I/O, tool calling, evals, safety checks - Observability mindset. Logs, traces, metrics, redlines - Experience with a2a/multi-agent frameworks - Experience developing LLM evaluation frameworks; automated scoring systems, CI-integrated quality gates. - Bias for simple, scalable designs Nice to Have - Workers AI, AI Gateway, and Vectorize in production - Salesforce or Service Cloud experience. Webhooks and case APIs - Security depth. Prompt injection protection, secrets detection, PII handling - OSS agent frameworks. Know what to borrow and what to throw away. How We Build - Align fast on what matters. - Divide and conquer. Own your piece. - Ship. Watch customers use it. - Learn and repeat. Why Join Cloudflare in India? Impact at global scale: Your code will serve Cloudflare's customers across every region. Tens of millions of Internet properties depend on us. Work on the edge: Few companies give engineers the chance to build AI directly into an edge platform that runs in 300+ cities worldwide. Career growth: As one of the early engineers in our India based AI team, you'll have visibility, leadership opportunities, and a direct hand in shaping Cloudflare's AI roadmap. Culture of ownership: We believe in autonomy, accountability, and trust. Engineers here own outcomes, not just tickets. Learn and grow fast: Collaborate with peers across Support, Product, Security, and AI Platform teams. We encourage knowledge sharing, mentorship, and continuous learning. Interview Signal Expect to demonstrate your ability to: - Build a mini agent on Workers using the Agent SDK - Store session memory in Durable Objects - Add semantic recall with Vectorize - Ship behind a KV flag with traces and observability - Push to production fast and take ownership Team Mission The Agent Tech team owns the end to end stack for customer facing agents on Cloudflare. Everything runs at the edge. Core Stack: Workers, Durable Objects, KV, R2, D1, Queues, Pub/Sub, Vectorize, Workers AI, AI Gateway, Pages, Zero Trust. Principles: Ship fast. Measure truth. Simplify relentlessly. Own outcomes. Fraud Alert: Do not fall victim to recruitment fraud. Cloudflare never charges application fees or requires candidates to purchase third-party certifications or training as a condition of employment. All official communication comes strictly from @ cloudflare.com email addresses. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Machine Learning Engineering Manager
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences. You Will - Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale. - Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent. - Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step. - Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready. - Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders. - Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives. - Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges. You Have - 5+ years of experience building large-scale machine learning systems in production environments. - Proven track record of designing, developing, and launching ML models from scratch into production. - 2+ years of hands-on experience with vision language models or other foundation model technologies. - Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale. - Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces. - Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact. - Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals. - High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members. - Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines). - Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning. You Are - Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact. - An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team. - A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact. - Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations. - Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus. - Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute. - Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Engineering Manager, Agentic AI
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About The Team + Role The Artificial Intelligence team is at the forefront of integrating AI into Robinhood’s ecosystem. We are building the foundational AI and ML infrastructure that empowers our product and engineering teams to seamlessly build, deploy, and scale AI-driven features tailored to the needs of our customers. As the Engineering Manager you will lead the charge in developing this critical infrastructure. You will oversee the creation of multiple ML and AI models spanning Robinhood products, and internal optimizations. You will guide the engineering organization in producing advanced models and leveraging Large Language Models (LLMs) to create real, scalable products. This role requires a visionary leader with a strong software engineering background, a passion for developer-facing platforms, and deep expertise in applied ML at scale. This role is based in our Menlo Park, CA office , with in-person attendance expected 5 days per week. At Robinhood , we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. What You'll do - Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth. - Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers. - Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood’s diverse business lines. - Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams. What You Bring - Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development. - Hands-on experience in Applied Machine Learning, specifically with productionizing applications that leverage LLMs and advanced models to build real-world products. - Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise. - An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy. Leadership Expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them: - Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. - Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. - Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrit What we offer ● Challenging, high-impact work to grow your career ● Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching ● Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents ● Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more ● Employer-paid life & disability insurance, fertility benefits, and mental health benefits ● Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! ● Exceptional office experience with catered meals, events, and comfortable workspaces In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $298,000 - $350,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $146,000 - $172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $298,000 - $350,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Software Engineer II, Backend (ML Training & Servi...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Software Engineer II to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do - With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. - You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. - You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. - You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For - You have a total of 1.5+ years of experience as a software engineer. - You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: 133,000 - 183,000 CAD Additional benefits include: • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Enterprise Product Growth Manager
Perplexity is seeking an Enterprise Product Growth Manager to own the full nurture and engagement engine for our enterprise and business buyers — from the first outbound touch through closed-won and into expansion. You will partner closely with Demand Generation, Sales, Product Marketing, and Revenue Operations to move accounts through every stage of the funnel, and you will build the AI-native tooling that makes those programs run. We are not looking for someone to operate yesterday's marketing stack. If you are the kind of marketer who writes their own SQL, prototypes their own agents, and treats every flow as something to automate rather than execute by hand — this role was written for you. RESPONSIBILITIES - Develop and own Perplexity's end-to-end enterprise lifecycle user states — outbound nurture, MQL-to-SQL conversion, opportunity acceleration, post-sale activation, expansion, and renewal — with direct accountability for pipeline created, pipeline progressed, and revenue retained. - Build and operate AI-native lifecycle tooling — agents that segment audiences from the warehouse, personalize copy at the account and persona level, choose channel and send time, QA before send, and read out results — replacing manual work in our stack wherever it appears. - Design and run multi-channel nurture across email, in-product, notifications, Slack, and emerging surfaces, tailored to enterprise personas with content tied to where each account sits in the funnel. - Partner with Demand Generation and Sales on top-of-funnel outbound: turn cold and intent-signaled accounts into engaged conversations, and instrument the handoffs that move them to opportunity. - Own post-sale lifecycle: admin onboarding, end-user activation, feature adoption, at-risk intervention, and expansion plays that grow seats and ARR inside existing accounts. - Run every program as an experiment. Define the hypothesis, the control, the primary metric, and the readout. Kill what doesn't work, double down on what does. WHAT WE'RE LOOKING FOR: - 7+ years in product growth, lifecycle, or growth marketing at a fast-paced startup, with a proven track record of moving activation, retention, and revenue metrics — including enterprise pipeline. - Experience owning growth end-to-end across the full user journey — from first touch and activation through expansion, monetization, and win-back. You've built growth loops and lifecycle programs that turn signups into engaged users and engaged users into revenue. - Deep understanding of audience segmentation. You think natively in personas, behavioral triggers, lifecycle stages, and product signals, and you know how to translate that into journeys, experiments, and in-product experiences that actually convert. - Great taste. You know how to craft copy and experiences that resonate across email, push, and in-product surfaces — for end users, admins, and executives alike — and you can tell the difference between a polished experience and a generic one at a glance. - Experience and deep interest in building homegrown AI-driven growth engines — programmatic personalization, agentic workflows, and rapid experimentation platforms to scale yourself. - Builder mentality toward tooling. You don't just operate the modern growth stack (Omni, HubSpot, Loops, Intercom, or equivalents) — you extend it. You've built your own internal tools, scripts, and automated systems to close gaps off-the-shelf software can't, and you'd rather automate a workflow than run it manually twice. - Comfortable with SQL. You can pull your own cohorts, validate your own segments, and read a dashboard without waiting on a data analyst. - Operates at high velocity. You ship daily, iterate weekly, and thrive in fast-paced, early-stage environments where processes are still being defined. Urgency is a default setting, not a mode you switch into.
Enterprise Account Executive, State & Local Sales
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 State and Local Government Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across South and Central US state and local government agencies. You'll leverage your deep understanding of state and local government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the state and local government market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within state and local government agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of state and local government procurement, including state-specific regulations, security standards, and agency-specific requirements - Build and maintain relationships with key decision-makers across state, county, and municipal agencies, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with agency missions and modernization initiatives - Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet state and local government requirements - Create and maintain sales playbooks specific to state and local government use cases and procurement processes - Take a leadership role in growing our state and local government presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: - 5+ years of enterprise sales experience in the state and local government space, with a proven track record of driving adoption of emerging technologies - Deep understanding of state and local government agency missions, challenges, and technology needs - Demonstrated ability to balance strategic leadership with hands-on sales execution - Experience navigating complex state and local procurement processes and compliance requirements - Strong track record of exceeding revenue targets in the state and local government space - Extensive experience with state and local government contracting vehicles and procurement mechanisms - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership - Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Strategic thinking combined with attention to detail in execution - Familiarity with state-specific data privacy laws and security compliance frameworks - A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Public Sector Partnerships - Europe Lead
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 are seeking an experienced and dynamic leader to spearhead ElevenLabs’ public sector partnerships and government affairs efforts across Europe. The Public Sector Partnerships Lead will drive our regional public policy and public sector engagement strategies. The person will represent ElevenLabs in conversations with policymakers and other stakeholders, monitor and track regulatory developments that impact the company, help shape frameworks that promote innovation and the responsible use of AI, promote government adoption of ElevenLabs products and services, and help to define and implement policy campaigns and impact initiatives. IN THIS ROLE, YOU WILL: - Lead ElevenLabs engagement with government bodies and officials across Europe, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights. - Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups. - Monitor, analyze, and advise on emerging regulations impacting the company. - Represent ElevenLabs at conferences and industry events, advancing the company’s public policy goals. - Support the development of internal policies by our Legal, Safety, Security, and other teams. - Provide strategic counsel to company leadership on regional policy trends and their business implications. - Promote government adoption of ElevenLabs products and services in partnership with the GTM team. - Define and implement policy campaigns and impact initiatives that advance company objectives. WHO YOU ARE: - You’re genuinely interested in the future of AI and emerging technologies, bringing curiosity and enthusiasm to your role. - You stay up-to-date on AI regulation and industry trends, and are eager to apply this expertise to cutting-edge products. - You thrive in a fast-paced, dynamic startup environment, working cross-functionally with teams across the organization to support and scale a growing business. - You’re comfortable working independently and handling ambiguity, excelling in situations where you must make informed decisions quickly. - You bring a proactive, solution-oriented approach to each project, focused on moving the business forward. WHAT YOU BRING: - 8+ years’ experience in public and private sector (in-house, firm) policy roles, with a focus on AI and tech. - Strong knowledge of the regional AI policy landscape, including general AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights. - Demonstrated success in designing, advocating for, and influencing policy outcomes, as well as coalition building. - Public policy experience across Europe. - Exceptional written and verbal communication skills, including when briefing government officials and other policymakers. - Fluency in English. LOCATION This role is located in Europe. If you prefer, you can work from our offices in Warsaw or London.
Account Manager - ANZ
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 self-starter, highly energetic Account Manager, who is passionate about voice technology. We don't just sell a product, we're building a community of highly engaged people that want to partner with us for the long term. We love working with our customers to support and guide them through their voice AI journey with a focus on ultimately driving long term value for them. Our Account Management team is at the forefront of this. In this role you will: - Be part of an early Account Management team with endless opportunities for impact. You'll partner with the team to help develop a scalable account management playbook and framework that supports our customers in the ANZ region. - Build and maintain strong relationships with a book of commercial and enterprise clients in the ANZ region. - Play a key role in driving long term adoption of multiple products. - Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion. - Own expansion and renewal of accounts within your book of business. - Measure and improve customer satisfaction & experience. - Own your account management KPIs (NRR/GRR) and track against the company goals. Requirements - 3-7 years of previous experience in Account Management or Customer Success in a fast paced, SaaS organization. - A strong builder and customer excellence mindset. - Commercial experience — you will own renewals and expansion for your book of business. - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization. - Excellent problem-solving and analytical skills to address customer needs and concerns. - A hybrid of customer & product-driven mentality that prioritises client satisfaction & scale. #LI-Remote
Staff+ Software Engineer, Data Infrastructure
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 Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: - Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. - Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. - Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. - Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: - Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Can set technical direction for a team, not just execute within it - Have deep experience with at least one of: - Strong proficiency in programming languages like Python, Go, Java, or similar - Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) - Can navigate complex technical tradeoffs between performance, cost, security, and maintainability - Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: - Experience with security and compliance requirements (ITGC, GDPR, financial controls) - Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure - Experience with Kubernetes, containerization, and cloud-native architectures - Track record of improving data reliability, availability, or cost efficiency at scale - Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks - Experience working in fintech, financial services, or highly regulated environments - Security engineering background with focus on data protection and access controls Technologies We Use: - Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran - Storage: GCS, S3 - Infrastructure: Terraform, Kubernetes, GCP, AWS - Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Global Head of Sales & Partner Enablement
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 Global Head of Sales & Partner Enablement to build the engine that makes our entire go-to-market organization and the partner ecosystem around it world-class at bringing Claude to the enterprise. As Anthropic scales rapidly across segments, geographies, and routes to market, this leader will architect how thousands of sellers, solution architects, and partners learn, ramp, and win. You will design the global enablement strategy spanning onboarding, continuous learning, sales methodology, product launch readiness, and partner certification ensuring that everyone who represents Claude can articulate its value with technical credibility and commercial precision. This is an opportunity to define what AI-era enablement looks like: using Claude itself to reinvent how a global field organization learns and performs. Responsibilities: - Architect and execute a comprehensive global enablement strategy spanning direct sales, partner ecosystems, and customer-facing technical teams - Design and continuously improve onboarding, ramp, and certification programs that measurably reduce time-to-productivity for new sellers worldwide - Implement and adapt sales methodology, deal qualification, and coaching frameworks suited to complex, technical, multi-stakeholder enterprise sales cycles - Build partner enablement programs — training, certification, and co-selling readiness — for cloud partners, GSIs, and the broader channel ecosystem - Partner with product and product marketing teams to translate a fast-moving roadmap into launch enablement, technical fluency programs, and field-ready content - Align regional enablement plans with GTM leadership across the Americas, EMEA, APAC, and emerging markets, balancing global consistency with local needs - Scale enablement infrastructure, data, and processes in alignment with Revenue Operations, ensuring shared systems and a single view of field performance - Establish enablement performance metrics and instrumentation to assess ramp time, content adoption, certification, pipeline impact, and revenue contribution - Build, develop, and manage a high-performing global enablement team with specialized capabilities across programs, content, and delivery - Champion innovative, AI-powered approaches to learning, coaching, and content — using Claude to set the standard for modern enablement - Collaborate with marketing on messaging frameworks and content strategy so the field and partners tell one consistent, compelling story You may be a good fit if you: - Have 15+ years of experience in sales enablement, GTM readiness, or revenue productivity roles, with at least 7 years in senior leadership positions driving enablement strategy for global technology organizations - Possess a proven track record of building enablement functions that measurably improved ramp time, win rates, and field productivity at scale - Have deep experience enabling complex, technical products for enterprise sales motions with long, multi-stakeholder buying cycles - Have built partner enablement and certification programs across cloud providers, GSIs, or channel ecosystems - Are highly collaborative, able to partner effectively with sales leadership, product, marketing, revenue operations, and C-suite executives - Have experience building and scaling global enablement teams and developing specialized enablement talent across regions - Demonstrate strong analytical orientation, with experience instrumenting enablement and connecting programs to revenue outcomes - Have technical fluency sufficient to understand, teach, and credibly represent AI/ML products to technical and business audiences Strong candidates may have: - Experience enabling AI, cloud infrastructure, or developer-platform sales organizations - Background scaling enablement through hypergrowth, including international expansion and new route-to-market launches - Proven success implementing modern enablement platforms and AI-powered learning or coaching tools - Experience designing enablement for both velocity/SMB and strategic enterprise motions within one organization - Track record of managing global enablement budgets and demonstrating ROI to executive leadership 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 sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $540,000 - $585,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Field Marketing Manager, Public Sector
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 hiring a Field Marketing Manager dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Key responsibilities - Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. - Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders - Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows - Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution - Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline - Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline - Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments - Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs - Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies You may be a good fit if you: - Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector - End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place - Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) - 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally - Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up - Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked - Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Strong candidates may have: - 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies - Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. - AI/ML field marketing experience - Existing relationships with public sector associations and research institutions - Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Lead Employment Counsel
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 are seeking an experienced Lead Employment Counsel to join our Legal Team. In this role, you’ll partner with the People team and other stakeholders to advise on global employment law issues spanning the full lifecycle of employment relationships. You’ll also develop employment policies and procedures to support the company as we continue to scale. You’ll work closely with global colleagues to provide practical, business-oriented advice while managing risk across multiple jurisdictions. RESPONSIBILITIES - Advise and collaborate with the People team and other stakeholders on a range of employment law matters in various jurisdictions, including contract negotiation, onboarding, performance management, and termination. - Offer clear, pragmatic, business-focused legal advice. - Devise and manage employment practices, policies, and procedures that can be executed efficiently in a growing global company and reduce employment-related legal risk. - Manage and work with outside counsel across the globe. - Stay current on global employment laws and regulations, advise the Company on applicable changes, and propose updates as necessary. WHO YOU ARE - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise in a cutting-edge, global company. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues, as well as working with outside counsel across jurisdictions. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and company success. - Hunger to be exceptional at your job. REQUIRED QUALIFICATIONS - J.D. and active membership in at least one U.S. State Bar or law degree and qualification to practice law in an EMEA jurisdiction. - 6+ years of relevant post-qualification employment law experience, with experience in-house at a fast-paced, global company. - Experience building employment-related processes and procedures, partnering with a people/HR team on onboarding and offboarding, and handling complex employment litigation matters. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines. PREFERRED QUALIFICATIONS - Experience in a high-growth, emerging technology company. - Experience negotiating complex employment contracts and termination agreements. - Experience partnering with teams and outside counsel across the globe. - Law firm experience. LOCATION This role is remote-first and can be executed in the United States (Eastern Time Zone) or EMEA. If you prefer, you can work from our offices in New York or London.
IP Counsel
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 are seeking an exceptional IP Counsel to join the ElevenLabs Legal Team. ElevenLabs is at the frontier of AI-generated audio and voice — which means we're also at the frontier of some of the most interesting and consequential IP questions in the industry right now. Copyright law, content licensing, and IP strategy for generative AI are being written in real time, and you'll have a front-row seat for it all. As our second IP Counsel, you'll have the opportunity to partner closely with product, engineering, research, and commercial teams across a host of intellectual property issues, including copyright, rights of publicity, trademarks, and trade secrets. You'll counsel on IP risk in model development and outputs, structure and negotiate licensing deals across our platforms, and help build the frameworks that protect and extend ElevenLabs' IP position as we scale. This is a high-impact, high-autonomy role for someone who wants to do substantive legal work — not manage process — at one of the fastest-moving AI companies in the world. Who You Are - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise in a cutting-edge, global company. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues, as well as working with outside counsel across jurisdictions. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and company success. - Hunger to be exceptional at your job. Required Qualifications - JD with active membership in at least one U.S. state bar or law degree and qualification to practice law in the U.K. - 6+ years of experience advising on intellectual property issues, including copyright and/or trade secrets. - Experience drafting and negotiating complex IP-related transactions, including licensing agreements. - Strong command of the IP issues unique to generative AI companies. - Excellent business judgment, writing skills, and attention to detail. - Comfort operating in a fast-moving environment. Preferred Qualifications - Experience with content distribution and licensing in the media, entertainment, music, or publishing industries. - Experience managing IP risk in a software development environment. - Law firm and in-house experience. Location This role is remote-first, so it can be executed from anywhere in the United States or the United Kingdom. If you prefer, you can work from our offices in New York, San Francisco, or London.
Global Compliance Manager
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 are seeking a Global Compliance Manager to help build and scale our compliance program as the Company continues its global growth. Reporting into the Legal Department, this role will be responsible for implementing and operating key elements of the Company's compliance framework, with a focus on ethics and integrity, conflicts of interest, anti-corruption, trade compliance, and regulatory compliance. This is a hands-on role for someone who enjoys building practical, business-oriented compliance programs that enable growth while managing risk. The successful candidate will work closely with Legal, People, Finance, GTM, Operations, Security, and other business stakeholders to embed compliance into day-to-day operations. WHAT YOU'LL DO COMPLIANCE PROGRAM OPERATIONS - Help implement and maintain the Company's global compliance program. - Support periodic compliance risk assessments and compliance program reviews. - Develop and maintain compliance policies, procedures, and guidance materials. - Track regulatory developments and support implementation of compliance requirements. ETHICS & INTEGRITY - Manage the Company's conflict of interest disclosure and review process. - Support implementation and maintenance of the Code of Conduct. - Assist with gifts, entertainment, and ethics-related compliance matters. - Promote a culture of integrity and accountability across the organization. TRADE COMPLIANCE - Support sanctions and export control compliance processes. - Assist with restricted-party screening and escalation reviews. - Partner with Legal and business teams on cross-border compliance matters. - Help develop practical controls and guidance for global operations. ANTI-CORRUPTION & THIRD-PARTY COMPLIANCE - Support implementation of anti-corruption and anti-bribery controls. - Conduct and coordinate risk-based due diligence on third parties, including distributors, consultants, agents, and partners. - Assist with government interaction reviews and related compliance processes. - Maintain third-party compliance records and monitoring processes. INVESTIGATIONS & REPORTING - Manage compliance intake and reporting processes. - Conduct or support internal investigations into compliance concerns. - Track investigations, corrective actions, and remediation efforts. TRAINING & AWARENESS - Coordinate compliance training programs and employee certifications. - Develop communications and awareness campaigns. - Support targeted training for higher-risk functions and geographies. MONITORING & REPORTING - Develop compliance metrics and dashboards. - Track key compliance activities and trends. - Prepare reports and presentations for senior leadership. - Support audits, assessments, and program effectiveness reviews. WHAT WE'RE LOOKING FOR REQUIRED QUALIFICATIONS - 8+ years of experience in compliance, ethics, legal operations, investigations, risk management, or a related field. - Experience supporting compliance programs in a global organization. - Familiarity with anti-corruption, sanctions, export controls, conflicts of interest, and corporate compliance principles. - Experience developing policies, procedures, training, or compliance processes. - Strong project management and operational execution skills. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - Experience in a high-growth, emerging technology company. - Experience conducting internal investigations. - Experience managing third-party due diligence programs. - Familiarity with FCPA, UK Bribery Act, OFAC sanctions, and export control regulations. - Experience with compliance management, screening, or case management tools. - Compliance-related certifications (CCEP, ICA, CRCM, or similar). LOCATION This role is remote-first, so it can be executed from anywhere in the United States, Canada or the United Kingdom. If you prefer, you can work from our offices in New York or London.
Product 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 As a Product Manager for Enterprise at Claude.ai , you will own the core enterprise platform capabilities that make Claude trustworthy and deployable for large organizations. You'll focus on security, compliance, administration, and governance features that enterprise customers require to adopt AI at scale. This role requires strong technical judgment, deep understanding of enterprise security and compliance frameworks, and the ability to translate complex requirements into elegant product experiences. You'll work closely with engineering, design, sales, and security teams to build the foundational enterprise capabilities that unlock Claude's adoption across regulated industries and security-conscious organizations. Key responsibilities Security & Compliance Product Development - Own the roadmap for enterprise security features including audit logging, data retention policies, and access controls - Drive compliance certifications and feature development (SOC 2, HIPAA, FedRAMP, GDPR) in partnership with security and legal teams - Develop and maintain enterprise admin experiences including user management, workspace controls, and policy enforcement - Build features that give IT and security teams visibility and control over Claude usage within their organizations Enterprise Platform Capabilities - Define and execute on core enterprise infrastructure including deployment options, data residency, and integration capabilities - Partner with engineering to build scalable, secure architecture that meets enterprise requirements - Develop APIs and integration points that enable enterprise workflows and system connectivity Cross-functional Partnership - Work closely with sales and customer success to understand enterprise customer requirements and translate them into product priorities - Partner with security team to ensure features meet enterprise security standards - Collaborate with legal and policy teams on compliance requirements and certifications - Coordinate with research teams on enterprise-specific model behavior and safety requirements Customer & Market Understanding - Build deep expertise in enterprise security, compliance, and procurement requirements - Develop relationships with enterprise customers to understand their needs and validate solutions - Stay current on competitive landscape and enterprise AI market trends Minimum qualifications - Strong understanding of enterprise security concepts (RBAC, audit logging, encryption, data residency) - Experience with compliance frameworks (SOC 2, HIPAA, GDPR) and certification processes - Track record of shipping enterprise features that drive adoption in security-conscious organizations - Excellent communication skills with ability to work across technical and business stakeholders - Experience partnering closely with sales teams and engaging directly with enterprise customers Preferred qualifications - 6+ years of product management experience, with at least 3 years focused on enterprise software - Experience in AI/ML products or platforms - Background in identity & access management, security tools, or compliance software - Understanding of regulated industries (healthcare, financial services, government) - Technical background or experience working closely with infrastructure/platform teams - Experience with enterprise admin console design and IT buyer personas - Strong technical judgment with ability to go deep on security and infrastructure topics - Structured thinking and ability to break down complex compliance requirements into shippable features - Customer empathy with ability to understand enterprise buyer and admin personas - Execution focus with track record of shipping in fast-paced environments 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 sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior/Staff Site Reliability Engineer
ABOUT PINECONE Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 9,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. ABOUT THE TEAM AND ROLE We are looking for a Senior / Staff Enterprise Platform Reliability Engineer to help make Pinecone reliable, deployable, upgradeable, and operable across enterprise environments. This is a cross-product role spanning Pinecone’s database, knowledge engine, Nexus, and related systems. You will work at the intersection of product engineering, infrastructure, reliability, and enterprise deployment architecture. You will help define how Pinecone runs across SaaS, BYOC, and future enterprise deployment models such as OEM and air-gapped environments. That includes deployment architecture, Kubernetes runtime patterns, upgrade safety, monitoring, alerting, customer-visible health, diagnostics, CI/CD, and enterprise-readiness validation. This is not a traditional operations-only SRE role. We are looking for someone who can turn enterprise operational requirements into reusable product and infrastructure capabilities. RESPONSIBILITIES You will: - Design and improve deployment patterns across SaaS, BYOC, and future enterprise deployment models. - Build Kubernetes-based runtime, deployment, and validation capabilities. - Define safe upgrade, rollback, and version compatibility strategies. - Improve observability, alerting, logging, and customer-visible health signals. - Build tooling for deployment validation, diagnostics, and operational readiness. - Work across Pinecone product teams to improve enterprise reliability and deployability. - Collaborate with customer-facing teams and customers on complex enterprise environments. - Improve CI/CD, release validation, and automated deployment checks. - Help define what “enterprise-ready” means for current and future Pinecone products. - Turn incidents, escalations, and deployment issues into durable engineering improvements. REQUIREMENTS You should have: - Strong Kubernetes experience, including deployments, networking, storage, secrets, and upgrades. - Experience with at least one major cloud provider: AWS, GCP, or Azure. - Experience operating production systems with clear reliability ownership. - Experience with monitoring, alerting, logging, incident response, and operational diagnostics. - Experience designing or operating SaaS, BYOC, self-managed, or regulated enterprise environments. - Ability to debug complex systems across application, infrastructure, networking, and customer-environment boundaries. - Ability to write production-quality code in a language such as Go, Python, Java, Rust, or similar. - Understanding of CI/CD, release engineering, automated validation, and rollback strategies. - Clear communication and strong ownership across engineering and customer-facing teams. BONUS POINTS - Experience with BYOC, self-managed, OEM, or air-gapped deployments. - Experience with stateful distributed systems such as databases, search systems, storage systems, streaming systems, or ML infrastructure. - Experience designing upgrade strategies for distributed or stateful systems. - Experience with enterprise requirements such as SSO, private networking, audit logs, hardened images, compliance constraints, and customer-controlled infrastructure. - Experience building deployment tooling, operators, controllers, or internal developer infrastructure. - Experience turning production incidents or customer escalations into product improvements. PERKS AND BENEFITS - Comprehensive health coverage including medical, dental, vision, and mental health resources. - 401(k) plan. - Equity award. - Flexible time off. - Paid parental leave. - Annual company retreat. - WFH equipment stipend. EQUAL OPPORTUNITY STATEMENT Diversity, Equity, Inclusion and Belonging are part of how Pinecone builds teams. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every qualification in a job description. Our top priority is finding the best candidate for the job. If you are interested in the position, we encourage you to apply even if you do not believe you meet every qualification listed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Office Manager
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 WORKPLACE & REAL ESTATE TEAM The Workplace & Real Estate team builds the places where LangChain builds the future of AI agents. Our job is to make every office somewhere people want to be — spaces that run flawlessly, feel great to walk into, and reflect the craft bar of the company in every detail. We treat the workplace as a product: designed with intent, measured, and continuously improved. We run a small, high-agency team of on-site owners in each hub, and we automate the manual work rather than adding it — across two master-lease hubs (SF, NY) and coworking spokes as the company scales. ABOUT THE ROLE The Office Manager owns our SF HQ end-to-end — both the on-the-ground experience and the systems that make it run. SF is our largest hub and headquarters, we hold the master lease, we're moving into new space, and we regularly host company and team offsites. You open and reset the space first thing every morning and are the face of the office through the day — and you build the tooling, standards, and vendor programs that keep it running consistently as we scale. This is a hands-on role for a builder who takes pride in a flawless space and in the systems behind it. Location: This role is based on-site in our San Francisco (HQ) office, five days per week. WHAT YOU'LL DO OWN THE SPACE & THE CRAFT BAR - Open and reset the space first thing every morning — before people arrive, the office is clean, stocked, and ready - Keep the space super organized, neat, tidy, clean, and stocked at all times; it should always be on point and represent the quality of the company - Run a regular walkthrough punch list and stay on top of the details — wires tucked, chairs in, nothing out of place BE THE FACE OF THE OFFICE - Present through business hours as front-of-house: greet guests, welcome and guide new hires and visitors, and be the person people find - Plan and run local in-office events, team moments, and the offsites hosted at HQ RUN OPERATIONS, VENDORS & BUDGET - Manage facilities, supplies, snacks, and equipment; own on-site vendor relationships (cleaning, food, maintenance); serve as primary contact for building management and repairs - Rationalize and manage vendor programs — move us off ad-hoc ordering to contracted, consistent programs - Own budget tracking for the office; help track cost-per-seat and utilization; partner with Finance BUILD THE SYSTEMS & STANDARDS - Own the workplace ticket queue in Console for your office and help build the shared SLA framework and resolution metrics - Deploy and own the workplace tech stack — desk booking, room scheduling, visitor management, mailroom/deliveries — partnering with IT on networking - Build and maintain SOPs, playbooks, and trackers; contribute to shared standards across sites - Own space planning and moves for your office (starting with the SF move) — communicated early and low-drama - Run life-safety for the site (emergency action plan, evacuation, first aid/AED, drills) as part of the company-wide program - Use AI to automate the manual work — tickets, vendor comms, inventory, invoice/billing reconciliation WHAT YOU'LL BRING HARD SKILLS - 4–6 years in office/workplace management, facilities, or workplace operations in high-growth tech - Exceptionally organized, documentation-first, and project-management-driven — plans, budgets, and status always visible and current - Experience owning workplace systems (ticketing, desk/room booking, visitor management) and vendor programs - Demonstrated AI fluency — you already use tools like Claude to increase your leverage and reach for automation instinctively SOFT SKILLS - Hospitality / concierge mindset — you treat colleagues and guests as customers (hotel or premium-hospitality background a plus) - Maximum agency & ownership — you treat the office as your own; you fix things before they're reported and build the systems no one's asked for yet - High craft — you take pride in a spotless, on-point space and clean systems behind it - Reliability — committed to a consistent, on-site, 5-day presence - Run to the roar — calm and proactive when something breaks NICE TO HAVE - Hospitality background (hotels, premium service) - Experience supporting office moves or buildouts - Experience with LangChain, LangGraph, LangSmith, or comparable tools ANNUAL SALARY RANGE: $90,000 - $110,000 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.
Account Executive - North America - ElevenCreative...
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 You will own a portfolio of corporate accounts in the United States, focused on ElevenCreative. The corporate segment is a high-volume, high-velocity motion where fast conversion, strong product knowledge, and efficient pipeline management matter most. You will be the first point of contact for companies that are ready to move quickly. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on corporate accounts (growing companies typically with fewer than 200 employees). You should thrive in a fast-paced, high-volume environment with short sales cycles, often closing within days to weeks. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop and execute territory and account strategies from scratch, including target account identification, outbound sequencing, event strategy, and pipeline building - Develop a deep understanding of the AI creative landscape - customer use cases, competitive dynamics, and emerging trends - particularly as they apply to agencies, digital media, content studios, e-commerce, or technology startups - Partner with product, marketing, solutions engineering, and customer success to ensure smooth onboarding, deployment, and expansion of accounts - Serve as a trusted advisor to enterprise creative and marketing leaders, educating them on how AI is changing content production and where ElevenCreative fits in their stack - Represent ElevenCreative at industry events, conferences, and client meetings in your territory WHO YOU ARE We are looking for someone who combines enterprise sales instincts with genuine curiosity about how creative and marketing teams produce content at scale. You will thrive in this role if you: - Have 5+ years of quota-carrying sales experience selling technology, SaaS, or AI products to enterprise buyers, ideally with exposure to the creative tools, digital media, or content production space - Have deep familiarity with the AI creative tools or digital media landscape - you understand how enterprise creative and marketing teams evaluate, adopt, and deploy new tooling, and you know the industry well enough to build credibility with buyers quickly - Have proven success navigating complex, multi-stakeholder enterprise sales cycles across business, IT, legal, and procurement - Can translate technically complex AI capabilities - voice synthesis, image and video generation, dubbing, music creation - into clear business value for non-technical decision makers - Are comfortable building pipeline from scratch in a new market or territory, including outbound, events, and account-based strategies - Have strong executive presence and the ability to build relationships at the VP and C-suite level - Thrive in high-growth, fast-moving environments where the scope expands faster than anyone can fully prepare for, and treat that as a feature rather than a problem BONUS - Experience selling creative, design, media production, or content platform tools to enterprise buyers - Familiarity with AI or generative AI products and how enterprise buyers evaluate them - Experience with localization, dubbing, or audio and video production workflows and the buyers who own them - Deep knowledge of the agencies, digital media, content studios, e-commerce, or technology startups verticals and the enterprise buying dynamics within them LOCATION This role is remote, based in the United States. #LI-Remote
Account Executive - North America - ElevenCreative...
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 You will own a portfolio of enterprise accounts in the United States, focused on ElevenCreative. The US enterprise segment has the largest existing pipeline and revenue base for ElevenCreative, with strong deal velocity and expansion revenue. You will work named enterprise accounts with complex, multi-stakeholder sales cycles and high-value deal potential. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on enterprise accounts (large organizations with complex procurement and multi-stakeholder buying committees). You should be comfortable with 3 to 6 month sales cycles, executive-level engagement, and six-figure deal sizes. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop and execute territory and account strategies from scratch, including target account identification, outbound sequencing, event strategy, and pipeline building - Develop a deep understanding of the AI creative landscape - customer use cases, competitive dynamics, and emerging trends - particularly as they apply to media, entertainment, advertising, gaming, consumer brands, or technology - Partner with product, marketing, solutions engineering, and customer success to ensure smooth onboarding, deployment, and expansion of accounts - Serve as a trusted advisor to enterprise creative and marketing leaders, educating them on how AI is changing content production and where ElevenCreative fits in their stack - Represent ElevenCreative at industry events, conferences, and client meetings in your territory WHO YOU ARE We are looking for someone who combines enterprise sales instincts with genuine curiosity about how creative and marketing teams produce content at scale. You will thrive in this role if you: - Have 5+ years of quota-carrying sales experience selling technology, SaaS, or AI products to enterprise buyers, ideally with exposure to the creative tools, digital media, or content production space - Have deep familiarity with the AI creative tools or digital media landscape - you understand how enterprise creative and marketing teams evaluate, adopt, and deploy new tooling, and you know the industry well enough to build credibility with buyers quickly - Have proven success navigating complex, multi-stakeholder enterprise sales cycles across business, IT, legal, and procurement - Can translate technically complex AI capabilities - voice synthesis, image and video generation, dubbing, music creation - into clear business value for non-technical decision makers - Are comfortable building pipeline from scratch in a new market or territory, including outbound, events, and account-based strategies - Have strong executive presence and the ability to build relationships at the VP and C-suite level - Thrive in high-growth, fast-moving environments where the scope expands faster than anyone can fully prepare for, and treat that as a feature rather than a problem BONUS - Experience selling creative, design, media production, or content platform tools to enterprise buyers - Familiarity with AI or generative AI products and how enterprise buyers evaluate them - Experience with localization, dubbing, or audio and video production workflows and the buyers who own them - Deep knowledge of the media, entertainment, advertising, gaming, consumer brands, or technology verticals and the enterprise buying dynamics within them LOCATION This role is remote, based in the United States. #LI-Remote
Account Executive - North America - ElevenCreative...
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 You will own a portfolio of corporate accounts in the United States, focused on ElevenCreative. The corporate segment is a high-volume, high-velocity motion where fast conversion, strong product knowledge, and efficient pipeline management matter most. You will be the first point of contact for companies that are ready to move quickly. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on corporate accounts (growing companies typically with fewer than 200 employees). You should thrive in a fast-paced, high-volume environment with short sales cycles, often closing within days to weeks. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop and execute territory and account strategies from scratch, including target account identification, outbound sequencing, event strategy, and pipeline building - Develop a deep understanding of the AI creative landscape - customer use cases, competitive dynamics, and emerging trends - particularly as they apply to agencies, digital media, content studios, e-commerce, or technology startups - Partner with product, marketing, solutions engineering, and customer success to ensure smooth onboarding, deployment, and expansion of accounts - Serve as a trusted advisor to enterprise creative and marketing leaders, educating them on how AI is changing content production and where ElevenCreative fits in their stack - Represent ElevenCreative at industry events, conferences, and client meetings in your territory WHO YOU ARE We are looking for someone who combines enterprise sales instincts with genuine curiosity about how creative and marketing teams produce content at scale. You will thrive in this role if you: - Have 5+ years of quota-carrying sales experience selling technology, SaaS, or AI products to enterprise buyers, ideally with exposure to the creative tools, digital media, or content production space - Have deep familiarity with the AI creative tools or digital media landscape - you understand how enterprise creative and marketing teams evaluate, adopt, and deploy new tooling, and you know the industry well enough to build credibility with buyers quickly - Have proven success navigating complex, multi-stakeholder enterprise sales cycles across business, IT, legal, and procurement - Can translate technically complex AI capabilities - voice synthesis, image and video generation, dubbing, music creation - into clear business value for non-technical decision makers - Are comfortable building pipeline from scratch in a new market or territory, including outbound, events, and account-based strategies - Have strong executive presence and the ability to build relationships at the VP and C-suite level - Thrive in high-growth, fast-moving environments where the scope expands faster than anyone can fully prepare for, and treat that as a feature rather than a problem BONUS - Experience selling creative, design, media production, or content platform tools to enterprise buyers - Familiarity with AI or generative AI products and how enterprise buyers evaluate them - Experience with localization, dubbing, or audio and video production workflows and the buyers who own them - Deep knowledge of the agencies, digital media, content studios, e-commerce, or technology startups verticals and the enterprise buying dynamics within them LOCATION This role is remote, based in the United States. #LI-Remote
Lead, Frontier Red Team (Cyber)
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. Lead, Frontier Red Team (Cyber) San Francisco, CA About the Team As part of Anthropic’s work on the frontier of cybersecurity, we are forming a new team focused on steering the world through the next generation of cybersecurity. It is now clear that frontier AI models – Mythos and beyond – will have dramatic impacts on cybersecurity. This team will research the impacts of advanced models, beyond Mythos, on security – and publish the research and build + deploy the defenses the world needs to navigate it smoothly. We believe many parts of cybersecurity will need to be fundamentally reimagined for the age of powerful models. This team is incubated with the highest priority within the Frontier Red Team, which studies the catastrophic risks and builds and advocates for defenses. See our previous related work on Mythos , N-days , exploits , 0-day , and finding vulns in hardened codebase . We also run Project Glasswing . About the Role The Lead will oversee all of Anthropic’s mission-driven research on defending the world in an era of advanced cybersecurity capabilities. They will lead research to uncover the offensive and defensive capabilities of Claude, prototype defenses in the wild, inform how Claude is trained and safeguarded in order to favor defenders, and engage with the public and government. The Lead will, over the long run, focus on how to give defenders a permanent advantage. Done well, within a year we expect Mythos, Glasswing, and our vulnerability and exploit research to seem like a modest first step towards this vision. They will work with our Product, Training, Security, and Safeguards teams to support their missions. The Lead will be responsible for all components of this vision. They will hire a world-class research team, lead them to produce frontier research on extremely quick timelines, maximize the public impact of that research, and build and deploy defenses into the world. The lead will develop a compelling vision for a dramatically more secure future, and communicate it to the company, industry, researchers, and government. The lead will also be responsible for informing and making difficult decisions at the highest levels of the company – how to broadly distribute access to advanced capabilities, how to safeguard the model, what threats to focus on, what systems to harden, and what high-risk, high-reward research to take bets on. The role is based in San Francisco, but we expect some travel at least to Washington DC. What You'll Do - Be responsible for Anthropic’s overall defensive cybersecurity vision - Hire and lead a world-class research team of AGI-pilled cybersecurity researchers and program managers - Design an AGI cybersecurity research program that aims to secure the world - Lead the team to execute on this research at the scale, speed, and quality of a frontier lab - Work with other Anthropic teams, such as Training, Safeguards, and Policy, to address their biggest opportunities and challenges in Anthropic’s cybersecurity mission - Identify field partners – maintainers, researchers, companies, governments – to do joint projects with - Develop a strategy to publish and share research with the world for maximum impact; shut down and avoid low-impact research or research communication - Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public - Proactively identify critical strategic decisions for the company and the AI lab ecosystem, raise them, marshall resources to address them, and help the decisions be made as smoothly as possible Sample Projects - Writing the strategy for how a frontier AI lab can use frontier models and resources to most defend the world - Building frameworks and tools that enable AI models to autonomously find and patch vulnerabilities using tens of trillions of tokens - Running purple-team simulations where AI defenders compete against AI attackers in network environments - Pointing autonomous AI systems at real-world security challenges (bug bounties, CTFs etc.) to characterize risks, defensive potential, and compare to human experts - Building demonstrations of frontier AI cyber capabilities for policy stakeholders 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 sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $485,000 - $690,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Sales Development Representative (German Speaker)
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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies. How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career). - Clear, confident communicator who can engage both technical and business audiences. - Motivated by learning, iteration, and experimentation you treat outreach like a craft. - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way. - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate. - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction. - Fluent or native German speaker, is required for this role. Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual On Target Earnings - 110,000 GBP (70/30 split). 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.
Sales Development Representative (French Speaker)
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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies. How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career). - Clear, confident communicator who can engage both technical and business audiences. - Motivated by learning, iteration, and experimentation you treat outreach like a craft. - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way. - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate. - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction. - Fluent or native French speaker, is required for this role. Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual On Target Earnings - 110,000 GBP (70/30 split). 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.
Marketing Operations Strategy
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. Marketing Operations Team We're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools. You'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily. This role is built for those who get satisfaction from a campaign that launches without a hitch, a data flow with zero gaps, and finding the one workflow that saves the team ten hours a week. Key Responsibilities: - Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place. - Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live. - Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work. - Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy. - Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs. - Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively. - Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions. Preferred experience & skills - Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & ad platforms. - Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections. - Campaign Fluency: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them. - An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms. - A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to. - Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks. Nice to Have: - Background in paid media operations or ad tech integrations - Experience running AI enablement for a non-technical team If this role excites you but you don't check every box, we'd still love to hear from you; the right experience matters more than a perfect match on paper. Compensation $165,000 -$185,000 + equity 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.
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, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse Preferred qualifications - Experience designing evals or benchmarks for AI models or products - Pricing and packaging analytics at scale, including elasticity estimation - Market share estimation from imperfect third-party, panel, or survey data - Fluency in the LLM model and product landscape - Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness) - Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability 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 sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Sr. Data Platform Engineer - Computer System Valid...
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: - Build, scale, and operate in a validated data platform . You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery. - Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. - Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You’ll Join - You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake . The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation: This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: £75,900–£101,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-EP1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Product and Solutions Marketing Manager
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 ROLE We’re looking for a Product and Solutions Marketing Manager to help drive go-to-market for LangSmith Fleet and build the solutions marketing motion around enterprise AI adoption. Fleet is LangChain’s product for bringing agents to every team in an organization. It enables anyone to build, use, and manage agents with natural language, while giving organizations the security, observability, and API extensibility they need to deploy agents across the business. This role will help shape how we take Fleet to market across both sales-led and product-led growth motions. You’ll work on positioning and messaging, product launches, content, enablement, campaigns, customer storytelling, and cross-functional programs in partnership with product, sales, education, and marketing. The audience is broad and nuanced: technical buyers who care about security, observability, integrations, APIs, and governance; technical champions who want to extend and operationalize agents; and nontechnical users who need to understand what agents can do for their day-to-day work. You’ll help translate a rapidly evolving product into clear stories, content, and programs that drive awareness, adoption, and revenue. You’ll also help turn LangChain’s broader platform story into industry-specific solutions. That includes developing campaigns, collateral, and sales enablement for targeted enterprise segments such as financial services, healthcare, and life sciences. You’ll work closely with product, sales, demand generation, field marketing, education, and customer-facing teams to translate customer problems into clear narratives, programs, and assets that support pipeline and revenue. WHAT YOU’LL DO PRODUCT MARKETING FOR FLEET - Help launch new Fleet capabilities in a fast-moving market. You’ll partner with product and GTM teams to bring new features and use cases to market. - Develop positioning and messaging for Fleet. You’ll help define how Fleet shows up across the website, sales materials, launch assets, campaigns, product pages, and customer-facing content. - Create content that helps different audiences understand and adopt Fleet. This may include launch blogs, solution briefs, use case pages, customer stories, comparison pages, demo narratives, sales decks, guides, and campaign assets. - Build enablement for a sales-led motion. You’ll help equip sales and customer-facing teams with talk tracks, objection handling, discovery questions, demo narratives, competitive context, and materials that help them speak to technical buyers and business stakeholders. - Partner with demand generation on campaigns. You’ll help turn product narratives, use cases, launches, and customer insights into campaigns that drive pipeline and product adoption. - Stay close to customers and the market. You’ll synthesize customer conversations, sales feedback, product usage signals, competitive activity, and market trends into insights that improve our messaging, roadmap inputs, and GTM strategy. SOLUTIONS AND ENTERPRISE MARKETING - Develop solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities. - Partner with demand generation, field marketing, and sales on integrated campaigns. You’ll create campaign materials and collateral for targeted enterprise motions. This may include solution briefs, industry landing page copy, campaign messaging, and webinar narratives. - Build sales enablement for enterprise conversations. You’ll create materials that help account teams explain LangChain’s value in regulated and complex environments, including industry talk tracks, use case maps, executive-ready decks, and objection handling. - Translate customer and field insights into repeatable sales plays. You’ll work with sales, solutions, and customer-facing teams to understand what resonates in the field and turn that into reusable messaging, collateral, and campaign programs. WHAT YOU’LL BRING - You have 2–4+ years of experience in product marketing, developer marketing, solutions marketing, enterprise marketing, or a related GTM role. - You’ve worked on technical products, developer tools, AI/ML products, B2B SaaS, infrastructure, automation, productivity tools, or platform products. - You can translate technical concepts into clear customer-facing messaging. You don’t need to be an engineer, but you should be comfortable learning technical products and asking good questions. - You’re excited by a product that serves multiple audiences: developers, technical buyers, operators, admins, and nontechnical end users. - You understand how sales-led and product-led motions can work together. You can create materials that help sales teams win while also helping self-serve users understand and adopt the product. - You understand enterprise marketing. You know how to create assets and campaigns for complex buying committees, regulated industries, and sales-led motions. - You write clearly and quickly. You can turn a product capability, customer problem, or technical workflow into useful content or enablement without a long ramp. - You like working cross-functionally. You’ll partner closely with product, sales, demand generation, field marketing, devrel, education, customer-facing teams, and the broader marketing team. - You’re comfortable with ambiguity and iteration. Fleet is evolving quickly, and the market for workplace agents is still being defined. You’re excited to ship, learn, and improve. - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work. - You use AI tools in your own work and are interested in finding new ways to increase your effectiveness with them. NICE TO HAVE - Experience marketing developer tools, AI products, automation products, productivity tools, or enterprise SaaS platforms. - Familiarity with the LLM, agent, or AI application development ecosystem. - Experience supporting both technical buyers and business or end-user audiences. - Experience partnering with sales on enterprise deals, including enablement, customer-facing storytelling, competitive support, account-based campaigns, or executive-facing collateral. - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries. - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption. - Experience with field marketing, demand generation, partner marketing, or integrated campaigns. WHY JOIN - You’ll help define a new category. Fleet is bringing agents from developer experiments into everyday work across companies. - You’ll work on a product with both end-user pull and enterprise depth. Fleet is easy to try, but also deeply connected to LangSmith’s security, observability, evaluation, deployment, and API capabilities. - Your work will directly shape how the market understands Fleet and LangChain’s enterprise platform. This is a high-impact role with room to influence messaging, launches, content, campaigns, enablement, and GTM strategy. - You’ll help build a solutions marketing motion from an early stage. There is room to shape how LangChain tells industry-specific stories, supports enterprise campaigns, and enables the field. - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly. - Agents are where software is heading. LangChain is at the center of that shift, and you’ll help tell the story of how agents move from prototypes to real usage across companies. Compensation $125,000 to $165,000 + Equity 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.
Enterprise Account Executive (Northwest)
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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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. - Annual salary: $350K OTE USD 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.
Product Manager, Safeguards (Verticals)
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 dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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 sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
DevOps Engineer, Infrastructure & Security
As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: - At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: - Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. - Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. - Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. - Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. - Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. - Document pipeline processes and configurations to ensure maintainability and knowledge transfer. - Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. - Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC. Ideally you'd have: - 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role. - Proven track record of building or significantly enhancing CI/CD pipelines. - Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell). - Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps). - Knowledge of software architecture, system design, and version control systems. - Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems. - Basic understanding of security best practices in software development and an eagerness to integrate them. - A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows. - Strong problem-solving, analytical, collaboration, and communication skills. Nice to haves: - Experience with containerization technologies (e.g., Docker, Kubernetes). - Exposure to machine learning lifecycles or MLOps concepts. - Prior experience in classified environments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,400 - $311,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $178,400 - $279,000 USD The base salary range for this full-time position in the location of St. Louis is: $148,800 - $233,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Head of International Security
Scale AI sits at the intersection of frontier AI, enterprise software, and national security. We safeguard high-value assets: proprietary AI data and infrastructure, a global contributor ecosystem, and sensitive enterprise and government customer data. As our International Head of Security, you will own and unify Scale’s security strategy across our non-US affairs: Global Public Sector and non-US Enterprise deals. You will drive the execution, customer engagements and compliance with frameworks such as GDPR, ISO27001, UK Cyber Essentials Plus, the EU AI Act, NIS2 and country-specific sovereignty requirements while staying tightly aligned to our global secure-by-default architecture set by the Head of Security. As we expand into FDE-led Agentic Applications while continuing to serve our data and model customers, our security surface area spans internal systems, external products, distributed contributors, and high-assurance government environments. You are a builder who believes security is a product feature, not a hurdle — and who can raise both our defensive maturity and our ambition in frontier AI security. What You'll Do Execute the Global Security Strategy Across International Markets - Drive execution of Scale's multi-year secure-by-default roadmap across non-US markets, surfacing regional needs into global architecture decisions. - Translate regional regulatory requirements (GDPR, ISO 27001/27017/27018, SOC 2, UK Cyber Essentials Plus, EU AI Act, NIS2, and country-specific data residency / sovereign-cloud rules) into concrete engineering controls. - Track regional security metrics and accountability, and represent the international perspective in global prioritisation, audits, and roadmap reviews. Lead Regional Security Engineering & Threat Detection - Own the regional execution of identity, fine-grained RBAC, secrets management, CI/CD hardening, encryption, logging, and infrastructure protection with a particular focus on cross-border data flows and in-region telemetry. - Stand up high-fidelity detection and response capabilities that meet local time zone coverage, breach-notification timelines, and regulator expectations. - Drive systemic risk reduction through platform-level controls, partnering with the global security engineering team rather than building parallel stacks. Secure Products, Data, and AI Systems for International Customers - Ensure enterprise-grade protection of customer data, proprietary datasets, and AI assets across regional deployments, including support for in-region processing, encryption with customer-managed keys, and data-localisation commitments. - Design and enforce robust multi-tenant isolation, fine-grained RBAC, and privilege lifecycle management across customer environments serving international enterprises and public sector buyers. - Address AI-specific attack surfaces; prompt injection, tool abuse in agentic workflows, data exfiltration, and model/data integrity risks. - Champion secure SDLC practices, threat modeling, and code review standards within FDE teams. Lead Insider Risk & Contributor Integrity Across International Populations - Partner with Product and Operations to reduce fraud, account compromise, collusion, and identity-based abuse without degrading platform usability, particularly in higher-risk regions. - Implement strong auditability, privilege governance, and behavioural anomaly detection across sensitive workflows in a way that is defensible to international regulators. Be the Lead Security Partner for International Customers & Governments - Serve as the lead security partner in international enterprise and public sector engagements; running customer security reviews, supporting regulator interactions, and shaping trust narratives across the UK, EU, MENA, and beyond. - Drive execution of the international clearable-infrastructure plan without fragmenting the core platform. - Partner with Sales, Legal, and Compliance to streamline security reviews and build durable customer confidence. Qualifications Required - 8+ years in cybersecurity (security engineering, product security, detection/response, or cloud security), with at least 4 years leading or formally mentoring engineers in high-growth or enterprise environments. - Demonstrated experience building and scaling security programs that materially improved risk posture. - Strong technical depth in cloud-native security (AWS / GCP / Azure), IAM / Zero Trust, infrastructure security, logging and monitoring, and secure SDLC practices. - Hands-on familiarity with GDPR, ISO 27001, SOC 2, UK Cyber Essentials Plus, NIS2, and the EU AI Act. - Experience managing insider risk or securing environments with significant third-party, contractor, or marketplace-style user populations. - Ability to operate cross-functionally with Engineering, Product, Legal, Compliance, Sales, and Public Sector stakeholders. - Right to work in the UK. Comfortable traveling regularly; willing to be vetted for country-specific clearances where customer engagements require it. Preferred / Differentiators - Experience securing AI / ML platforms, LLM-based systems, or agentic applications - Familiarity with AI-specific threat vectors such as training data poisoning, prompt injection, tool/plugin abuse, and protection of model-related IP. - Experience operating at the intersection of enterprise SaaS and government or national security customers. - Working knowledge of GCC (Gulf Cooperation Council) sovereign compliance and privacy regulations (such as UAE DESC CSP and Qatar NCSA NISCF/NIA) - Proven ability to build secure-by-design multi-tenant systems serving FTSE 100 / Euro Stoxx 50 / global Fortune 500 clients across multiple regulatory regimes. - Experience leading red-teaming, adversarial testing, or offense-informed defense programs. - Active or eligible for UK clearance (SC or DV), NATO clearance, or equivalent in another allied jurisdiction. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Machine Learning Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Bengaluru, India About the Role The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. We are looking for an experienced Machine Learning Engineer to join our Bengaluru team and help scale the next generation of our AI/ML models. In this role, you will build and operate the pipelines behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable services and application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. Responsibilities - Deploy, manage & support ML Applications & Services on Kubernetes - Understand MLOps landscape i.e tooling, tech stack, source systems etc. and work on introducing new tools and solutions for ML & AI initiatives. - Partner and align with Data Scienti
Engineering Manager, UI 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 Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. We're looking for an engineering leader to own the foundational platform that powers all of these surfaces: the shared infrastructure, APIs, tooling, and systems that enable product teams to ship reliably, quickly, and with confidence. In this role, you'll lead the team responsible for reliability, latency, developer velocity, and common components across Claude.ai 's UI surfaces. Your work will directly determine how fast customer, partner, and product teams can innovate—and how stable their experiences are when they ship. This is a highly technical leadership role: you'll stay close to the code, drive architectural decisions, and build the systems that let others move faster. This is a unique opportunity to shape the developer experience and platform foundations for one of the most rapidly evolving AI products in the world. You'll partner closely with product engineering teams, infrastructure, and leadership to ensure Claude.ai scales gracefully as we grow. Responsibilities - Lead and grow the UI Platform team, setting technical direction for reliability, performance, and developer experience across all Claude.ai surfaces - Own the foundational systems that product teams depend on: shared components, build and deploy pipelines, observability, and performance infrastructure - Drive improvements to developer velocity—reducing friction, improving tooling, and enabling teams to ship features faster and more safely - Establish and maintain high standards for latency, reliability, and quality across the platform - Partner closely with product engineering, infrastructure, and leadership to align platform investments with product priorities - Create clarity and direction in a fast-moving, ambiguous environment where priorities shift as Claude.ai evolves - Build a culture of technical excellence, collaboration, and continuous improvement within your team You may be a good fit if you - Have 10+ years of software engineering experience, with significant time spent building platforms, developer tools, or infrastructure for consumer-facing products - Have 5+ years of engineering leadership experience, including managing and growing teams in high-growth environments - Have deep expertise in modern web development stacks (React, Next.js, TypeScript) - Are passionate about developer experience and have a track record of building tools and systems that make other engineers more productive - Have strong opinions on reliability, observability, and performance—and know how to operationalize those opinions at scale - Can balance technical depth with strategic thinking, staying hands-on while also setting long-term direction - Thrive in ambiguity and can create structure and clarity for your team when the path forward isn't obvious <
Director of AI, Dating Outcomes
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Most consumer apps treat your attention as the product, optimizing every recommendation and notification to keep you scrolling. Hinge made the opposite bet: our mission is to get people off the app, out on a date, and eventually to delete us entirely. That is not a tagline. It is the actual constraint every AI system we build has to solve against. The Director of AI, Dating Outcomes owns the hardest version of that problem. You will lead the AI systems at the core of how Hinge connects people: the recommendation engine, the ranking models, and the generative capabilities that help users put their best selves forward. The goal is not engagement, it is outcomes: fewer ratings per exchange, higher quality matches, and more people finding the person they were looking for. Because Hinge does not sell ads or user data, being exceptional at this is our business model. Reporting to the VP of AI, you will set the long-term AI roadmap for one of the company's most influential product areas and build the teams that bring it to life. The problems sit at the intersection of human behavior, sparse real-world signals, and a two-sided ecosystem of people who are not interchangeable, a different kind of ML challenge than most people in this industry have had the chance to work on. Responsibilities Strategy and Vision: Own the AI strategy for dating recommendations across the full journey, from first candidate to last date. Build the frameworks to reason rigorously through ecosystem tradeoffs where a win for one cohort reshapes another, and set a vision ambitious enough that the org wants to chase it. Cross-Functional and Industry Leadership: Partner closely with other product groups to integrate AI capabilities across the product and shape roadmap decisions you do not own. Communicate honestly with executive leadership on strategy, tradeoffs, and progress. Own budget and investment strategy for the area, and represent Hinge externally through writing, talks, and community. Technical Leadership: Steer real-time, personalized recommendation systems that reduce ratings per exchange and drive better matches. Bring Generative AI to dating outcomes in ways that are differentiated, authentic, and grounded in how people actually connect. Responsible AI: Hold the bar on scalability, resilience, and rigorous evaluation for both performance and bias. Team and Organizational Development: Structure and scale the team for both deep execution and long-horizon bets. Develop emerging leaders, invest in succession across IC and leadership tracks, and build a culture where rigor, inclusion, and performance reinforce one another. Execution Excellence: Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings. What We're Looking For 10 or more years across data science, applied ML, and software engineering, with 6 or more years in AI or engineering leadership defining strategy, not just managing execution. A track record of leading real-time, personalized recommendation systems in production, including the relevance, fairness, and scale tradeoffs that carry real consequences. Demonstrated success scaling ML or AI teams and developing technical leaders who carry the work over years, not a single launch. Deep technical fluency across ML, RL, Generative AI, and MLOps, with the communication skills and executive presence to represent AI strategy at the highe
Enterprise Account Executive, State & Local Sales...
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 State and Local Government Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across state and local government agencies including New York, Pennsylvania, Massachusetts and New Jersey. You'll leverage your deep understanding of state and local government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the state and local government market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within state and local government agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of state and local government procurement, including state-specific regulations, security standards, and agency-specific requirements - Build and maintain relationships with key decision-makers across state, county, and municipal agencies, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with agency missions and modernization initiatives - Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet state and local government requirements - Create and maintain sales playbooks specific to state and local government use cases and procurement processes - Take a leadership role in growing our state and local government presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: - 7+ years of enterprise sales experience in the state and local government space specific to New York, Pennsylvania, Massachusetts and New Jersey, with a proven track record of driving adoption of emerging technologies - Deep understanding of state and local government agency missions, challenges, and technology needs - Demonstrated ability to balance strategic leadership with hands-on sales execution - Experience navigating complex state and local procurement processes and compliance requirements - Strong track record of exceeding revenue targets in the state and local government space - Extensive experience with state and local government contracting vehicles and procurement mechanisms - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership - Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Strategic thinking combined with attention to detail in execution - Familiarity with state-specific data privacy laws and security complia
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