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GTM Architect
The GTM Architect, Enterprise will report to the Head of Enterprise GTM and will own the operating systems, measurement, and engagement model that power Scale AI’s enterprise revenue motion. This role is responsible for designing and running the enterprise GTM architecture across RevOps, sales performance, and cross-functional execution, ensuring Scale’s largest and most strategic accounts are engaged with rigor, consistency, and impact. This is a senior, highly visible role that partners closely with Enterprise Sales leadership, Finance, Marketing, Product, and Solutions Engineering. The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts, how performance is measured, and how teams operate day-to-day to drive predictable growth. Over time, this role will have the opportunity to build and lead a GTM / RevOps team. In this role, you will: - Own and evolve Scale’s enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards - Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth - Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity - Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews - Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting - Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility - Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged - Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution - Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting - Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions - Initially operate as a senior individual contributor, with a clear path to hiring, developing, and leading a high-impact GTM / RevOps team Ideally, You Will Have: - 8–12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments - Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies - Proven ownership of sales systems, forecasting, and performance measurement at scale - Hands-on experience designing and managing enterprise sales compensation plans and reporting - Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences - A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale - Comfort influencing senior sales leaders and executives without direct authority - Excellent written and verbal communication skills, including experience building executive-level materials and dashboards - Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools) - High attention to detail paired with the ability to operate at a strategic altitude - Demonstrated ability to operate as a senior IC with
Data Center Energy Lead, Australia
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. Data Center Energy Lead — Australia About the role Anthropic's Infrastructure team is seeking a Data Center Energy Lead, based in Australia, to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint across the region. You'll work at the intersection of energy markets, physical power, project development and AI infrastructure needs, leading procurement efforts and building strategic relationships across multiple Australian jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating the complex dynamics of the National Electricity Market (NEM), the Wholesale Electricity Market (WEM), Northern Territory Electricity Market (NTEM) and Australia's evolving energy regulatory environment to achieve the speed and scale required for frontier AI development. Responsibilities: - Develop creative and novel means of energy deployment - grid connected, behind-the-meter/fence, etc. that drives fastest timelines to energization, while maintaining social license - Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure across the National Electricity Market (NEM), Wholesale Electricity Market (WEM) and Northern Territory Electricity Market (NTEM) structuring utility partnerships and commercial agreements that prioritise speed-to-energisation and scale - Own utility and regulatory stakeholder management across multiple Australian jurisdictions, building strategic relationships with ISOs, Transmission Network Service Providers (TNSPs), Distribution Network Service Providers (DNSPs), and state regulators to accelerate connection timelines and unlock constrained capacity - Drive energy markets and policy strategy for AI compute facilities, monitoring National Electricity Rules (NER) and regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure - Partner with engineering and delivery teams to translate energy market dynamics and network constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines - Develop deep market intelligence on regional power availability across the country, transmission constraints, and connection queue dynamics to inform site selection and deployment strategy - Structure innovative commercial frameworks and partnership models — including PPAs, network use of system arrangements, and behind-the-meter solutions — that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacentre portfolio You may be a good fit if you: - Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects, with substantial exposure to the Australian energy landscape <li&
People Partner, Tokyo
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for an exceptional HR Business Partner based in Tokyo, Japan to support our rapidly growing international teams at Anthropic. This highly visible and cross-functional role will support leadership in the region and help build out our HR policies and strategies, and act as a trusted leader and guide on a wide range of employee-related topics. Responsibilities: - Act as a trusted advisor to managers and leaders in region on HR-related topics and help to guide our human resources strategy as we scale - Provide support to employees and managers on all human resource-related topics throughout their lifecycle at Anthropic in partnership with other People team experts (e.g. Benefits, Compensation, etc.) - Work closely with management to create a culture of high performance based on our values while helping ensure that performance management and employee relations issues are managed according to local law and practice - In partnership with specialist teams (e.g. Benefits, Compensation, etc.), leadership, and finance, help build and implement top-tier, scalable programs and policies to attract and retain and grow outstanding talent at Anthropic - Partner with our people infrastructure & integrity, legal, and compliance teams to ensure the right infrastructure is in place and operating in our offices. - Help ensure compliance with local law and best practices, including immigration and background checks, in consultation with specialist teams and employment legal as appropriate You may be a good fit if you: - Have a minimum of 10 years experience working in HR, People Operations, Employee Relations, or other closely related functions - Have experience operating at a global company, and relative fluency with Japan (and other APAC region) specific HR and employment policies and best practices - Have worked at a tech company, start-up, or a similarly fast-paced environment - Fluent in Japanese and English Strong candidates may also: - Care deeply when it comes to helping and supporting a diverse set of people at all levels of an organization, excelling in supporting employees and managers to do their best work - Have proven experience and skill sets in providing confidential, practical support and are trained in topics like conflict resolution - Have strong working knowledge of human-resource-related best practices and are able to effectively implement these in a culturally appropriate fashion - Be a pragmatic problem-solver and enjoy developing creative solutions - Thrive in building and scaling processes, and enjoy identifying and setting up new systems at a quickly growi
Head of Global Assurance
Scale seeks a Head of Global Assurance to lead a high-performing team of technical experts advancing Scale’s assurance programs across its Global Public Sector and Commercial business units. This is a leadership role for an experienced assurance, cybersecurity compliance, or GRC professional who can manage a team of senior technical experts, drive execution across complex government and customer requirements, and partner closely with Global Public Sector, Enterprise, Security, Engineering, Product, and the Legal team. You Will - Lead assurance programs across Scale’s Global Public Sector and Commercial businesses, including FedRAMP, NIST frameworks, SOC 2, ISO 27001, and other customer, regulatory, and business assurance requirements. - Manage and develop a technical assurance team responsible for public sector authorizations, commercial assurance, audits, customer commitments, control evidence, remediation, and reporting. - Set priorities and operating cadences for assurance workflows, including intake, evidence collection, control owner follow-up, remediation tracking, metrics, and deadline management. - Build the metrics, dashboards, and reporting cadences that give company leadership a clear view of program health, key risks, and strategic priorities. - Partner with Legal on contract-driven assurance obligations, sensitive escalations, external-facing responses, and customer-facing representation issues. - Work closely with Global Public Sector, Enterprise, Security, Engineering, Product, and other control owners to validate evidence, track remediation, and support authorization and audit requirements. - Collaborate across Legal and GRC on a unified controls framework for security and other regulatory requirements. - Manage relationships with external auditors, assessors, and certification bodies. Ideally, You’d Have - 10+ years of experience in cybersecurity compliance, GRC, public and commercial sector assurance, IT audit, cloud security, or related roles. - Active U.S. security clearance, SCI eligible. - Experience leading global or region-specific assurance programs through scalable control frameworks and cross-functional execution. - Experience managing senior technical assurance, cybersecurity compliance, GRC, audit, or control evidence professionals. - Experience managing distributed teams across time zones. - Deep familiarity with FedRAMP, continuous monitoring, authorization packages, and related NIST frameworks. - Experience leading customer assurance, control evidence, remediation, reporting, and audit workflows. - Experience overseeing SOC 2, ISO 27001, and other commercial assurance frameworks. - Experience with external assessors, authorizing officials, government customers, public sector partners, commercial auditors, or certification bodies. - Experience working with legal teams on contract-driven assurance obligations, and strong judgment on when to escalate legal, contractual, technical, security, customer-facing, or privileged issues. - Excellent communication skills, including the ability to explain technical assurance issues cle
Machine Learning Engineer, Platform
Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power agents that deliver real impact for enterprise customers. You will: - Own large areas of platform end to end, driving components from design through to production deployment. - Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. - Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. - Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. - Develop context retrieval systems that balance recall, precision, latency, and cost. - Build evaluation frameworks, datasets, and metrics to measure retrieval quality, context relevance, and end to end agent performance. - Build reliable backend services and data pipelines that support ML and LLM components in production. - Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. - Collaborate across product, ML, and infrastructure teams to shape the direction of the platform. Ideally you'd have: - 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. - Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience.. - A deep, hands-on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation. - Experience with knowledge representation, semantic search, or agentic systems. - Proven proficiency in Python, including writing production-quality, testable, and maintainable code. - Experience scaling or shipping products at high-growth startups. - The ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints. - Strong communication skills and comfort working in customer-facing or cross-functional environments. 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,
Principal Software Engineer, AI Observability & Ev...
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 LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that. Location: This role can be based in our Boston, San Francisco, or NYC office. WHAT YOU'LL DO DRIVE TECHNICAL DIRECTION - Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale - Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences - Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data - Help shape the product roadmap by partnering closely with product and design — not just executing on it RAISE THE BAR FOR THE TEAM - Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on - Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance - Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines OWN RELIABILITY AND QUALITY - Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes - Ensure system reliability through strong testing, monitoring, and alerting practices - Create and maintain technical documentation, including system design docs and API references WHAT YOU'LL BRING - 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems - Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar) - Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability - Experien
Forward Deployed Engineer - Singapore
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. 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.
Applied AI Architect, Enterprise
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. 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.
Account Executive - Enterprise
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week
Account Manager - Japan
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 This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customization to deliver clear business outcomes in production environments. You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale. In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment. REQUIREMENTS - 5-7 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in Japan - Familiarity and experience with building and deploying AI agents - Familiarity and experience wi
GTM Onboarding & Enablement Lead
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. ROLE OVERVIEW LangChain is looking for a highly operational and program-oriented GTM onboarding and enablement lead to build and scale a world-class onboarding and ramp experience across our growing Go-To-Market organization. This role will own onboarding strategy and execution across Sales, SDR, Deployed Engineer (DE), and Customer Engineering (CE) teams. The ideal candidate combines strong program management, enablement, onboarding, and cross-functional coordination skills with the ability to build structured, hands-on learning experiences in a fast-moving technical environment. This is a highly cross-functional role partnering closely with Sales Leadership, Product, PMM, DE, CE, Revenue Operations, and Enablement leadership to ensure new hires ramp quickly, build strong product fluency, and become customer-ready with confidence. WHAT YOU’LL DO GTM ONBOARDING PROGRAMS - Own end-to-end onboarding and ramp programs across Sales, SDR, DE, and CE organizations - Build, manage, facilitate, and continuously improve in-person and virtual GTM Bootcamps - Redesign onboarding experiences into more hands-on, role-based learning programs with practical exercises, certifications, workshops, and customer-facing simulations - Develop scalable onboarding frameworks that support rapid GTM team growth globally LMS & LEARNING INFRASTRUCTURE - Build and maintain scalable onboarding learning paths within WorkRamp for Commercial, Enterprise, SDR, DE, and CE functions - Create structured onboarding journeys, certification programs, learning milestones, and reinforcement programs - Partner with managers and leadership to operationalize onboarding workflows, progress tracking, and onboarding accountability - Continuously improve onboarding content organization, usability, and learner experience PRODUCT & GTM FLUENCY - Develop role-based product fluency programs focused on practical GTM application, customer conversations, POV readiness, discovery, and real-world sales execution - Partner closely with Product, PMM, DE, and CE teams to ensure onboarding content reflects the latest product capabilities, customer lifecycle, GTM motion, and adoption workflows - Translate complex technical concepts into practical, role-appropriate onboarding experiences for different GTM audiences RAMP READINESS & CERTIFICATION - Create onboarding certifications and readiness milestones tied to observable skills, role expectations, and ramp progression - Build onboarding manager toolkits including: - 30/60/90 day plans - coaching checkpoints - onboarding inspection frameworks - readiness scorecards - Establish clear definitions of onboarding success and ramp readiness across GTM fu
Head of People Operations
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 LangChain is scaling fast. Our People function is lean by design and high-leverage by necessity. We don't run People Ops the way most companies do. We build operational systems that compound, automate the sludge, and keep the team focused on work that actually moves the company forward. We're looking for a Head of People Operations to own the People Ops function end-to-end. This is the person who architects and runs the infrastructure every employee relies on: compliance, HRIS, benefits, leave programs, global employment, policy, and the automations that make all of it work without constant manual intervention. You'll report to the VP of People. You'll have real scope and real authority. As we scale, you'll build a small team of ops coordinators under you. What you won't have is a 20-person HR function to route through. This is a build role. LOCATION/CITY: San Francisco, CA; New York, NY; open to remote RESPONSIBILITIES: - Own People Ops end-to-end. You are the accountable operator for HRIS integrity, benefits administration, leave and accommodations management, compliance, and onboarding and offboarding programs. The function runs because you built it to. - Build and maintain LangChain's compliance layer. US multi-state requirements, global employment law, contractor vs. FTE classification, immigration case coordination, and audit readiness across I-9, ERISA Wrap, and Flex Plan. You're the internal expert and the escalation point, and you partner with outside employment counsel when it calls for it. - Own Rippling as the system of record. Workflow configuration, data integrity, onboarding and offboarding automation, payroll coordination. You don't just use the tool — you build it. - Lead global employment operations. Manage EoR provider relationships, coordinate international contractor agreements, and build scalable infrastructure for hiring across geographies including the US, UK, EU, and beyond. You understand the compliance nuance across regions, not just one. - Architect and govern People policies. Own the employee handbook, leave frameworks (medical, parental, personal), STD/LTD administration, outside activity and IP-adjacent policies, and the compliance governance behind them. You'll own the mechanics and logistics of our benefits programs long-term, including STD/LTD setup and ongoing vendor management. - Build People Ops automations and workflows. You've shipped automations yourself. You have opinions on what should be automated in the People function. You'll define the roadmap, build where you can, and partner with Talent Ops on execution where scopes intersect. - Own employee relations and accommodations. Han
Senior Staff GenAI Engineer - Application Performa...
We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams. - Guide long-term strategy and technical direction for GenAI workflows across APM and related products. - Build and benchmark GenAI/ML models using state-of-the-art techniques. - Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives. - Collaborate with cross-functional teams to build automated investigation and triaging tools. - Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. - Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. - Act
Senior Engineering Manager, Defense
About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you Role Overview We are looking for a highly technical and strategic Senior Manager, Defense Engineering to lead our engineering efforts across the Middle East region, specifically supporting defense-related projects. This senior leader will drive delivery of custom AI applications for defense and national security clients, bridging deep domain knowledge in the defense space with cutting-edge AI and full stack engineering expertise. What You'll Do - Manage and grow the engineering team in the region, driving technical delivery across defense and public sector engagements - Design, build, and optimize backend services for advanced AI-driven applications, with a strong focus on AI agents, evaluation tooling, and automation - Lead full stack engineering efforts end-to-end—from system design and architecture through to debugging, testing, and production deployment - Serve as the senior technical authority on defense-related projects, applying domain knowledge to ensure solutions meet mission-critical standards and security requirements - Architect and deploy AI agent frameworks and API integrations tailored to defense and government workflows - Work comfortably cross-functionally across internal engineering teams and external defense and government clients - Own the full product lifecycle from conceptualization through production, ensuring high-velocity delivery without sacrificing quality - Deliver experiments and MVPs at a high velocity and level of quality to drive engagement with defense customers - Influence the culture, values, and processes of a growing engineering team in the region - Inspire and mentor engineers, fostering a technically excellent and mission-driven team environment - Collaborate with cross-functional teams to define, design, and ship new product features and experiences tailored to defense requirements What We're Looking For - 10+ years of relevant software engineering experience, with a strong emphasis on backend systems and full stack development - 5+ years of experience managing and leading engineering teams, with a proven track record of developing high-performing teams in complex, mission-driven environments - Demonstrated domain knowledge in the defense sector—understanding of defense operations, national security priorities, and the regulatory and security requirements unique to defense - Deep expertise in AI and machine learning, specifically with AI agents, LLM
Staff Software Engineer, Full-Stack - Enterprise G...
Staff Software Engineer, Full-Stack - Enterprise Gen AI Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME’s Person of the Year AI experience ( see it in action ), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale’s GenAI Platform ( SGP ), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it’s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you’ll play a crucial role in shaping how AI integrates into real-world applications. You Will: - Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies - Develop and refine features for Scale’s GenAI Platform , empowering businesses to build, deploy, and manage AI-driven agents - Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind - Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences - Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure - Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility Ideally, You Have: - 5+ years of experience developing frontend or fullstack applications in a modern tech stack - Strong proficiency in Next.js, React, TypeScript, and Tailwind , with an eye for building polished, user-friendly interfaces - Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments - A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms - Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL , and cloud infrastructure like AWS, Azure, or GCP - A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences , working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you’re excited by the intersection of AI, frontend engineering, and product design, we’d love to hear from you. The base salary range for this f
Interested in an internship?
Your work will change lives. Including your own. Join our Internship Talent Network! We believe in the power of hiring because the potential for people to do outstanding work depends on being in the right role, on the right team, at the right time. At this time, we are currently not hiring interns for Summer 2026. Please send us your resume so that we have your information on file for the next round of internships and we will contact you if we find a match! Stay connected and learn more about us on Twitter and LinkedIn. LI-DNI 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 <u&
Principal Solutions Engineer, Enterprise
Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world’s most innovative companies adopt, deploy, and scale AI with Scale. Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization. You will: - Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win” - Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies - Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements - Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges - Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions - Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops - Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development - Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy - Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function Ideally, you'd have: - Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale - Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises - Strong systems thinking and architecture experience acros
Senior Software Engineer, Public Sector
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: - Create multi-layered guardrails around agents - Optimize data retrieval for agents - Orchestrate fleets of asynchronous agents - Automatically alerts users to deviations in data - Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. - Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. - Direct the orchestration of asynchronous agent fleets to meet mission requirements. - Lead customer engagements to translate mission needs into technical requirements. - Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. - Conduct technical reviews and identify risks within machine learning infrastructure and model serving. - Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: - Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering &l
Principal AI Ops Architect, GPS
Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. - Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. - Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. - Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. - Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. - Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. - Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: - Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. - Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. - System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. - Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. - Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. - Reliability: You understand that in the public sector, a model failu
Staff+ Software Engineer, Experimentation
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 Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities - Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more - Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others - Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams - Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact - Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes - Have experience with container orchestration and infrastructure at scale - Have excellent communication skills and enjoy supporting internal partners to improve their development experience - Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: - Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)</li&g
Research Product Manager, Labs
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 Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP. We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI. Responsibilities: - Work with researchers to understand what's emerging and what it means for users - Identify nascent research capabilities that could become transformative products - Build prototypes yourself to validate ideas before committing resources - Lead 0-to-1 product development from research to internal prototypes to shipped products - Define product strategy for experimental initiatives that push beyond our current offerings - Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible - Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Minimum Qualifications You might be a good fit if you: - Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. - Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions - Have a track record of launching ambitious products that have found distribution or commercial success - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks - Stay up-to-date and hands-on with emerging research and industry trends - Prototype with AI tools like Claude Code Preferred Qualifications - Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus. 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: $385,000 - $460,000 USD <
APAC Sales Development Leader
About the team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, Retail, Manufacturing, Technology, and other key industries across Asia Pacific to build AI-powered customer experiences, transform operations, and accelerate innovation. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin. About the role We are hiring a APAC Sales Development Leader to build and lead OpenAI’s enterprise Sales Development organization across Asia Pacific. Reporting directly to the Head of Global Sales Development, this role is a core part of the Enterprise GTM leadership team. This is a high-impact leadership role focused on scaling pipeline generation and market development across a diverse and rapidly growing region. You will define how OpenAI engages enterprise customers across APAC, build regional SDR leadership and teams, and create the operating model that converts product interest, developer activity, and inbound demand into high-quality pipeline for our Enterprise and Strategic Accounts organizations. In this role, you will - Build and scale OpenAI’s APAC Sales Development organization, including hiring strategy, org design, enablement, and performance management. - Lead and develop front-line SDR managers and SDR teams across key APAC markets. - Own the regional enterprise pipeline generation strategy, ensuring consistent, high-quality opportunity creation across the region. - Translate product usage, pilots, developer engagement, and inbound interest into qualified enterprise opportunities. - Develop localized and vertical-specific SDR motions tailored to APAC markets and buying environments. - Partner closely with Sales, Marketing, Field Engineering, Partnerships, and Strategy & Ops to drive a coordinated regional GTM motion. - Establish scalable outbound, inbound, ABM, partner-led, and product-led pipeline generation playbooks. - Build a data-driven operating cadence focused on pipeline quality, conversion, velocity, and long-term revenue impact. - Help define OpenAI’s market expansion strategy across APAC, including investment prioritization and territory planning. - Serve as a strategic partner to regional sales leadership on how to capture and accelerate enterprise demand. You may thrive in this role if you - Have 10+ years of experience in enterprise sales, revenue, or GTM leadership. - Bring significant experience leading SDR or pipeline generation organizations across APAC. - Have experience managing distributed, multicultural teams across multiple countries and time zones. - Have built or scaled enterprise demand generation engines in fast-growing technology or platform businesses. - Are fluent in product-led and usage-based GTM motions (PQLs, pilots, free-to-paid, expansion). - Understand the complexity and nuance of enterprise selling across APAC markets. - Are highly data-driven, with strong experience in forecasting, pipeline analytics, and operational rigor. - Thrive in matrixed organizations spanning Sales, Product, Marketing, Partnerships, and Operations. - Are an exceptional talent builder with the ability to coach leaders and influence senior stakeholders. - Bring strong executive presence and the ability to engage with enterprise customers and partners across the region. 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.
Internal Product Engineer, Developer Productivity...
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team We are a brand new team, working quickly to accelerate Stripes engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe - filled with high agency engineers with strong product perspectives. Some examples of what we work on: here and here . What you’ll do You will build the next generation of internal AI coding tools and platforms, to massively accelerate Stripe’s engineering productivity safely and with a clear focus on our users’ needs. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements We’re looking for someone who has: - Strong software engineering skills and ability to write high quality code at high velocity - 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms - Hands on experience building tools or platforms used by other engineers or internal users - Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success - Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome - Have the ability to thrive with a high level of autonomy, and responsibility - Experience using AI developer tooling as part of their day-to-day workflows Minimum requirements We’re looking for someone who has: - Strong software engineering skills and ability to write high quality code at high velocity - 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms - Hands on experience building tools or platforms used by other engineers or internal users - Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success - Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome - Have the ability to thrive with a high level of autonomy, and responsibility - Experience using AI developer tooling as part of their day-to-day workflows Preferred qualifications <
Staff Product Manager, ML Foundations and GenAI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams. What you’ll do As a senior product leader, you will lead a cross-functional team to define, incubate and scale new ML/AI applications across Stripe’s product suite, and drive our strategy and roadmap for ML/AI infrastructure powering all of Stripe’s teams. You will work closely with product leaders across business units to define and deliver on an AI-centric product strategy, launching new applications that drive incremental business outcomes. At the same time, you will be advancing our core AI technology stack to empower teams across Stripe to infuse their scenarios with Agents and agentic capabilities, with API support for agent quality and continuous improvement. Responsibilities - Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite - Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company - Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications - Communicate clearly and crisply with leadership stakeholders and drive alignment across multiple teams - Develop and execute on a strategy for advancing Stripe’s ML/AI infrastructure and tooling Who you are We’re looking for someone who meets the requirements below, and has a passion for AI to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - - 7+ years of experience delivering highly successful and innovative software products which are ML powered - Solid understanding of ML and applied AI tech stacks - Demonstrated ability to influence company level strategy and work with business leaders to execute on the transformation - You push the pace. You take blame and pass the praise. People love working with you. - Proven ability to lead teams and work cross-functionally in a highly collaborative environment. - Ability to analyze and use quantitative and qualitative data to inform decisions. - A deep understanding and empathy for consumer and business users — you love building products that make our customers feel joy, delight and trust. - Relentlessly drives product quality - Capable of working on both 1P and 3P products
Senior Product Manager, CX & AI Tooling
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Enterprise Applications & Architecture (EAA) team at Coinbase builds and operates the internal platforms and business systems that power Coinbase at scale. Within EAA, the CX Tooling product team owns the tools, workflows, and AI-powered systems that enable Coinbase's CX specialists to resolve customer issues quickly, accurately, and with empathy. As a Senior Product Manager, you'll own product strategy and execution for CX and AI tooling that sits at the intersection of internal operations and the external customer experience, building an AI-forward platform that leverages automation, intelligent routing, and AI-assisted resolution to raise the bar on speed, quality, and customer satisfaction. Location: Greater Charlotte, NC area (relocation assistance available) What you'll do: - Own the product roadmap for a portfolio of CX and AI tooling, delivering end-to-end across discovery, requirements, launch, measurement, and iteration for the systems Coinbase's support specialists rely on to serve millions of retail customers. - Drive identification and prioritization of the highest-impact problems in the CX space by partnering with frontline specialists, diagnosing operational pain points, surfacing automation opportunities, and translating them into clear product solutions. - Build AI-integrated features that augment human specialists capabilities, including intelligent case routing, AI-assisted responses, knowledge retrieval, and workflow automation, with the evaluation and human oversight needed to earn trust in AI-driven resolution. - Define and own success metrics across the portfolio (resolution time, CSAT, specialist efficiency, automation rate) and use data to drive prioritization and measure impact. - Execute cross-functional delivery with Design, Data Science, Compliance, and other EAA teams to ensure CX tooling integrates into Coinbase's enterprise platform ecosystem. Required Skills and Experience: - 5+ years of product management experience with a track record of shipping impactful internal tools, enterprise platforms, or operational tooling where internal users' work directly impacts external customers. - Demonstrated ability to leverage AI/ML capabilities (NLP, automation, intelligent workflows) to solve real user problems, with experience building or integrating AI-powered tooling into operational platforms. - Experience managing a portfolio of products or features simultaneously, making disciplined prioritization tradeoffs in complex, cross-functional environments. - Proven ability to engage meaningfully with engineers on system design, APIs, and data flows, and to communicate product vision and strategy to stakeholders at all levels including executive leadership. - Utilizes generative AI responsibly, maintaining human oversight to
Offensive Hardware Security Engineer, Platform Sec...
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're seeking a vulnerability assessment candidate for platform security. You'll work cross functionally with teams across Anthropic and our partners to assess security features in hardware, firmware, bootloaders, operating systems, and attestation systems to identify and remove vulnerabilities from the ground up. This role requires expertise in low-level systems security and the ability to audit the most security-critical platform elements. This is not a role where you can simply file a ticket and hope that the fixes get into production and stay in production. The role requires taking ownership that everything you find is eliminated fully and correctly in production, including ensuring known vulnerabilities are never reintroduced. Key responsibilities - Audit secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Audit attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Audit measured boot implementations and runtime integrity monitoring - Integrate security controls with infrastructure teams without impacting training performance - Validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware vulnerability assessment pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements for exploit mitigation Minimum qualifications - Proven track record of conducting hands-on vulnerability auditing on complex, security-critical systems - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming languages (C, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Ability to work effectively across hardware and software boundaries - Strong communication and cross functional collaboration skills - Track record of assessing security architectures for complex, distributed systems Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on low-level security (firmware, bootloaders, and OS kernel-level security) - Capacity to audit for logic bugs in code written in Rust or Go - Ability to find vulnerabilities via reverse engineering in software that is provided only in binary form - Experience performing f
Senior Fullstack Engineer, AI Observability & Eval...
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 Us: ABOUT THE ROLE In person 5 days/week in San Francisco We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code WHAT YOU BRING - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation - Annual salary range: $175,000-$240,000 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.
Software Engineering Manager, AI/ML - VALORANT
Riot engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As an Engineering Manager, you’ll predominantly offer creative solutions to organizational design. You’ll also serve as a mentor for a team of engineers, overseeing performance management, growth opportunities, and accountability. Want to lead AI development for the world’s largest competitive tactical shooter? As Engineering Manager of the VALORANT AI team, you will guide a group of engineers building the systems, behaviors, and machine-learning–driven capabilities. You will lead a passionate team of engineers in supporting the ongoing needs of a large and geographically diverse development team. You will bring management and AI development experience, strong technical judgment, and a passion for advocating for both players and developers. Responsibilities: - Manage a group of 4-8 engineers across experience levels, providing regular feedback and performance management. Coach and develop your engineering team to grow in their roles, develop technical skills, and improve their effectiveness. - Develop and communicate the technical vision for your team, working with design, production, and game leadership partners to ensure consistency with overall product goals. Communicate and evangelize this vision to your team clearly. - Advocate for players, your team, and internal development customers when deciding what to build and why. Coordinate and work effectively with other teams across Riot working on AI and ML technology. - Serve as a technical backstop by contributing to code as appropriate, reviewing technical designs, and ensuring strong engineering practices and architectural rigor. Ensure high technical quality of what your team produces. - Foster a collaborative, challenging, and satisfying environment for your development team. Find and surface issues, opportunities, and address them head-on. Celebrate wins. - Be a standard-bearer and role model of Riot values for your team and others. - Resolve conflict and respond to emergent issues. - Other reasonable activities required by management Required Qualifications: - 5+ years of experience as a hands-on Software Engineer - 2+ years experience directly leading an engineering team of at least 4 as an Engineering Manager and/or Engineering Lead - 2+ years experience developing in Unreal, Unity, or another game engine - 2+ years experience with game AI technologies (behavior trees, perception systems, etc.) and/or ML technologies (data science, machine learning, model training and inference, etc.) - Experience writing, reading, and reviewing C++ - Experience working in complex, large-scale game or engine codebases - Excellent communication and collaboration skills across disciplines Desired Qualifications: - Experience developing games for Xbox and PlayStation console platforms - Experience in Agile processes and continuous delivery For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and o
Head of DMPK
Your work will change lives. Including your own. The Opportunity At Recursion we are redefining drug discovery by uniting industrial-scale data generation with sophisticated computational models. We are seeking a visionary Head of DMPK to join our leadership team. You will lead the DMPK strategy to transition our internal and partnered programs from early hit-identification through to IND-enabling studies and early clinical development. But this is not a traditional DMPK role. You will be a key architect in an environment that is pushing the boundaries of “predict more, test less” - bridging the gap between high-throughput, experimentally derived data generation and predictive modeling. Your Impact - Strategic Leadership . Define and execute the overarching DMPK strategy for a diverse therapeutic area portfolio, primarily focused on small molecules with the agility to support emerging modalities ( e.g. peptides, ADCs, proximity-inducing therapeutics) - Scientific Rigor and Project Acceleration . Ensure high degree of scientific excellence as programs move from early discovery into development ensuring robust human dose projections, DDI assessments, and supporting translational PK/PD strategies. - Tech-Forward Collaboration . Partner with Data Science and ML teams to refine our predictive ADME models, transforming how we prioritize compounds and de-risking the portfolio. - External Partnerships . Act as a strategic subject matter expert for high-stakes external partnerships by collaborating with internal scientific leaders and external counterparts with transparency and technical rigor. - Talent Development . Develop and lead a high-performing team. You won't just manage - you will amplify the talents of your team, fostering an environment of active learning and rapid adaptation. - Cross-Functional Synergy . A critical component of multidisciplinary project teams. A critical partner to Toxicology, Translation and Design ensuring that DMPK insights are integrated into the earliest stages of target validation and lead optimization. Who You Are - The Academic Foundation: You hold a PhD (or equivalent) in Pharmacokinetics, Drug Metabolism, Pharmacology, or a related field. - The Industry Veteran: You have a proven track record of moving multiple programs from Discovery into Development (typically 15+ years) in the pharmaceutical or biotech industry. - The Nimble Mindset: You are comfortable working at the intersection of biology and technology. You are cautiously optimistic that data-driven, computational approaches are the future of drug discovery. - The Modality Expert: Deep expertise in small molecule DMPK is essential. Experience with related modalities (ADCs, proximity-inducing or peptides) is a distinct advantage. - The Regulatory Navigator: You are intimately familiar with IND submission requirements and have a history of successfully navigating regulatory interactions. - The Collaborative Leader: You value "One Team" over silos. You are kn
Data Scientist, Safeguards
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 early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities - Deep dive into user behavior data to provide insights on safety concerns - Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting - Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations - Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics - Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications - Expertise in Python, SQL, and data visualization tools. - A bias for action and urgency, not letting perfect be the enemy of the effective. - A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. - A deep curiosity and energy for pulling the thread on hard questions. - Experience in turning open questions and data into concise and insightful analysis. - Highly effective written communication and presentation skills. - A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications - 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. - 3+ years of experience deeply embedding in Product teams. - Experience working on safety, anti-abuse, integrity shaped problems. 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. <
Senior 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: Austin, TX - Hybrid About the team 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. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do - Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. - Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) s
Director, Research - AI Evals
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered experiences. As Figma ships more AI capabilities across our products, the question "is this really good?" has never mattered more — and answering it rigorously is what this role exists to do. You'll define what "good" means for our AI features, build the frameworks and quality bars to measure it, and turn that into trusted signal that product teams rely on to decide what to ship. The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products — blending human evaluation with automated, model-based approaches — along with the product instinct and communication skills to make evaluation genuinely useful. Partnering with Product, Design, Engineering, and Data Science, you'll sit upstream of nearly every AI shipping decision at Figma and directly shape the quality of features used by millions of people. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Own AI evaluation methods and operations for Figma's AI-powered experiences — define quality dimensions, design how we measure them, and turn results into decision-ready signal - Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars, combining human evaluation with automated/model-based approaches (e.g., LLM-as-judge) where appropriate - Partner with engineering to stand up repeatable, reproducible evaluation pipelines and regression testing, so evaluation is a routine part of how AI features are built and shipped - Produce clear readouts and dashboards that let stakeholders confidently make go/no-go and prioritization decisions - Socialize a shared definition of quality so evaluation standards are adopted across teams rather than re-invented — and advocate for evaluation as a strategic partner in the product process - Manage a small team to execute our AI evals in partnership with contractors, internal staff, and/or LLMs We'd love to hear from you if you have: <
Sales Development - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Sales Development Representative (SDR Outbound) based in Middle East at ElevenLabs you will play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market. - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends. - Continuously refine and adjust outreach strategies based on the feedback loop. - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness. - Collaborate with the sales leadership to analyze data and optimize strategies for better results. Requirements - 5 + years outbound B2B sales experience with a track record of securing new business meetings. - Demonstrated ability to build
Machine Learning Fellow - Human Frontier Collectiv...
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist. - Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus. - Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why Join the HFC? - Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. - Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. - Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and loca
Software Engineer, Monetization Product & Platform
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the core monetization and ads systems at OpenAI. This is a foundational role responsible for designing and implementing the infrastructure, APIs, and user-facing experiences that will power OpenAI’s next-generation monetization products—including ads. You’ll work across the full technical stack to architect, build, and ship 0→1 systems that are robust, safe, and scalable. You will collaborate deeply with Product, Design, and Research to define the future of monetized AI experiences and ensure these systems meet OpenAI’s highest standards for safety, privacy, and policy alignment. This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees. In this role, you will: - Design, build, and scale the core infrastructure behind OpenAI’s monetization and ads products - Develop advertiser-facing APIs and tools that enable the creation, management, and measurement of ads - Build integrations with external partners and help create enterprise-grade monetization products - Architect distributed systems and services that operate at massive scale with strong reliability, usability, privacy, and performance guarantees - Work closely with Product, Research, and Design to translate product requirements into high-quality technical solutions - Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment - Contribute to technical strategy, propose new directions, and help shape the roadmap for monetization and ads platforms - Maintain high engineering rigor through strong testing, documentation, and operational best practices - Uphold the highest levels of safety, privacy, fairness, and policy compliance across all monetization systems - Help continuously refine engineering processes, culture, and best practices within a fast-moving, multidisciplinary team You might thrive in this role if you: - Have 7+ years of experience building high-scale consumer, enterprise, or ads-related systems - Have a track record of architecting and delivering complex distributed systems with high reliability and performance requirements - Are comfortable navigating ambiguous product spaces and contributing to technical roadmaps and long-term direction - Bring strong product intuition and enjoy collaborating deeply with Product, Design, and Research - Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch - Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability - Are motivated by building privacy-preserving, safe, and user-first monetization systems - Bonus: Have experience in ads systems, marketplaces, or other monetization-heavy domains Location This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Data Infrastructure
Scale AI is seeking a highly skilled and motivated Software Engineer to join our dynamic Public Sector Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. The Role - We are looking for an exceptional Senior Software Engineer to architect and build the foundational data infrastructure that will serve as the brain of a project ecosystem. - We are not looking for someone to stitch together off-the-shelf data frameworks. You will be responsible for designing highly novel data models and processing pipelines capable of handling massive quantities of output data from complex simulations. - At the core of this role is the challenge of building a foundational data ensemble —a unified architecture that seamlessly aggregates, structures, and stages diverse sources of simulation outputs and user inputs. Your systems will manage enormous batch throughput jobs with strict, minimal latency requirements, ensuring that downstream AI systems and language models have the exact context they need to actionably reason over complex, multi-dimensional scenarios. Key Responsibilities - Architect the Data Ensemble: Design and implement the architecture to ensemble various sources of injected context (deeply structural simulation data, historical game states, and dynamic user inputs) into a unified, highly queryable format optimized for LLM consumption. - Massive Batch Infrastructure: Build highly scalable, resilient data architectures from scratch. You will optimize for moving, transforming, and processing massive quantities of simulation output data via enormous batch jobs, maintaining the minimal latency required for rapid wargame iterations. - Complex Data Modeling: Design sophisticated, highly relational data models that accurately represent massive, state-based simulation environments, making them easily interpretable by machine learning models. - First-Principles Problem Solving: Navigate highly ambiguous product requirements to design custom, ground-up systems where existing open-source or enterprise tools simply cannot handle the structural complexity or scale. - Technical Leadership: Set the technical standard for the data infrastructure team, driving rigorous code quality, system performance, and architectural clarity. What We’re Looking For - Experience: 5+ years of backend or data infrastructure experience, operating at a Senior, Staff, or Principal level. - Engineering Excellence: Deep, expert-level proficiency in systems languages (e.g., Rust, Go, C++, or highly optimized Python/Java, Spark, PySpark) and a fundamental understanding of memory management, compute limits, and distributed systems architecture. - High-Throughput / Low-Latency Data: Proven track record of processing massive datasets. You understand how to optimize massive batch jobs and parallel processing across distributed simulation nodes without sacrificing speed.&l
AI-driven Product Manager:in / Game Lead
AI-driven Product Manager:in / Game Lead at Lotum media GmbH. German games industry role. Company category: Developer & Publisher. Job category: Product / Project Management / Producing. Job type: Full-Time. Added: 17.10.2026.
Software Engineer, Applied ML (Discovery, Recommen...
About the Role As a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applied ML models and infra, ranging from the model optimization, data pipeline to model training and serving infrastructure, on one of the fastest growing native AI consumer applications on the market today. You will work on implementation of our ML backend systems to power the discovery surfaces including recommendation, ranking and search, supporting new AI generated content formats on our product while working with the team to support optimizing our existing systems. Requirements: - B.A.S. in Computer Science or equivalent experience. - 5+ years of industry experience - Experience building/consuming RESTful and gRPC based web-services - Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure) - Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow - Experience writing highly performant service in a modern typed language - Experience configuring and maintaining CI/CD pipelines and automated testing Desired Experience: - Experience with shipping intelligent features, end-to-end, and from idea to production - Experience with understanding, designing or implementing a full pipeline from data ingestion to model training. - Experience with production AI/ML systems and services including optimizing GPU/TPU deployments - Experience working with vector databases or other feature storage You will be a good fit if you are proactive and have a “get things done” mindset. Given our current pace of growth and load on our systems, most people have had a significant impact during their first week at the company. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Software Engineer, Monetization Delivery
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation. You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives. This role is exclusively based across our San Francisco & Seattles sites. We offer relocation assistance to new employees. In this role, you will: - Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systems - Architect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performance - Develop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimization - Work closely with Product, Research, and Design to translate requirements into scalable technical solutions - Drive 0→1 infra development through rapid prototyping, experimentation, and iterative improvements - Contribute to the long-term technical strategy and roadmap for the monetization infra stack - Ensure high engineering rigor through excellent testing, documentation, observability, and operational best practices - Build for safety, privacy, fairness, and policy alignment from first principles - Collaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient You might thrive in this role if you: - Have 10+ years of experience building and operating large-scale distributed systems - Have experience designing mission-critical systems with demanding reliability, performance, and correctness requirements - Think in systems—architecture, data flows, operational concerns, observability, and long-term maintainability - Are comfortable defining technical direction in ambiguous 0→1 environments - Enjoy working cross-functionally to shape product requirements and system capabilities - Communicate clearly, reason holistically, and make decisions grounded in user needs and long-term system health - Bonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domains 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 (Software Engineer, Come...
Perplexity AI is looking for experienced Generalist Software Engineers to join our Comet and Perplexity native application teams. Our team is reshaping knowledge work through our high-impact Comet and Computer native apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Chromium, Rust, Kotlin, Swift, Typescript and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively
Senior Data Scientist - Consumer Frontend
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 groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY CONSUMER FRONTEND? Consumer Frontend’s team mission is to deliver the frontend architecture, components, libraries, navigation patterns, and core UI necessary for a high-quality, performant, intuitive, and observable consumer user experience for gaming and all future use cases. One of the focus areas is UX Excellence through Standardization, where the goal is to maintain a comprehensive library of high-quality components and navigation patterns that ensure a consistent and intuitive experience across all consumer surfaces. As a Data Scientist on the team, you will partner with engineers, product managers, designers, and leaders across the company to shape the future of user navigation, discovery, and interaction across the Roblox app. This includes helping define and evaluate foundational information architecture, navigation systems, and cross-surface user experiences, while also contributing to the measurement strategy for emerging AI-enabled workflows that accelerate how user experiences are designed, built, tested, and iterated. This area is pivotal to Roblox’s long-term success, directly impacting user engagement, retention, and the overall quality of the consumer experience. You will define KPIs and measurement frameworks for navigation efficiency, content discoverability, user friction, and UX quality, and leverage analytics, experimentation, and statistical rigor to influence product decisions and drive continuous improvements to the usability and effectiveness of the Roblox app. You Will: - Define and measure the success of Roblox’s information architecture, navigation systems, and core user experiences. Develop metrics and frameworks that quantify navigation efficiency, information discoverability, user friction, and overall UX quality. - Develop a deep understanding of user journeys, navigation behaviors, and user intent across the Roblox app. Identify opportunities to improve how users dis
Staff Software Engineer, AI/ML
Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: - Fortune Change the World (2024) - CNBC Disruptor 50 List (2022, 2023, 2024) - Fortune Best Workplaces for Millennials (2024) - Fortune Best Workplaces in Health Care (2024) - TIME 100 Most Influential Companies (2023) - Fast Company Most Innovative Companies (2020, 2023) - Built In Best Places to Work (2023) - Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) - Great Place to Work certified (2020, 2021, 2022, 2023, 2024) - Fast Company Best Workplaces for Innovators (2022) - Built In LGBTQIA+ Advocacy Award (2022) As a Staff ML/AI Engineer at Maven, you will: - Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences. - Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers. - Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance. - Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization. - Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models. - Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency. - Stay on the pulse of the evolving LLM and applied AI landscape, continuously exploring how to bring cutting-edge advancements into Maven’s platform. We're looking for you to bring: - A strong track record in either: - Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or - Deep experience as a data scientist working across the data
Member of Technical Staff - Platform Engineering
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: - Identifying architectural changes to improve reliability and performance. - Fostering a culture of reliability across Modal’s engineering organization. - Defining and implementing operational processes such as deployments, upgrades, etc. - Operating systems like Kubernetes, Postgres, Redis, etc. - Participating in on-call rotations, and responding to production incidents. REQUIREMENTS: - 5+ years of experience writing high-quality production code. - 2+ years of on-call experience for critical production services. - Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred). - Familiarity with auto scaling, fleet management, and capacity planning at scale. - Experience operating databases, monitoring, CI/CD, and other infrastructure, at scale - Experience owning and scaling Kubernetes clusters to thousands of nodes a plus. - Experience with systems safety research (e.g. STAMP) and control theory a plus. - Ability to work in-person in our NYC or Stockholm offices.
Engagement Manager, Global Public Sector
About the team: Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: - Building custom AI applications for government - Providing high-quality training data for research institutions building LLMs from scratch - Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively, interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product and engineering execution teams, and various customers and prospects to ensure success. The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses. In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region. You will: - Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities - Partner with clients to understand their most pressing problems and brainstorm how Scale can best help - Manage the long-term health of clients by identifying and preempting areas of risk or concern - Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly - Collaborate with the operational and engineering execution teams to track delivery and timelines - Review, track and improve operational performances and be obsessed with continuous improvement - Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing - Have proficiency in reading, writing, and speaking in Arabic Ideally you'd have: - 7+ years of total work experience, with experience in consulting or as a technical program management role in industry - Experience at a consulting firm or a leading tech company - A proven track record in B2B client facing roles and expanding client relationships - Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers - Great cross-functional experience and collaborative ability - Excellent verbal and written communications
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. -
Senior Fullstack Engineer, Growth & Monetization
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 Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform. About the role LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston. What you'll do - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention - Build flexible experimentation systems and processes capable of targeting diverse growth metrics - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization - Design and ship new onboarding features and improvements that accelerate time to value - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities What you'll bring - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python - Strong product intuition and a track record of working on monetization, pricing, or activation features - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments - Self-directed with an ownership mindset - Bonus: Experience building for developers or product-led growth platforms - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks Compensation - Salary Range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compe
Applied AI Architect, State and Local Government
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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.
Customer Success - Scale - Western Europe
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 This role partners directly with rapidly growing customers across EMEA to drive adoption of the ElevenLabs platform - spanning core speech models, creative tools, and Agents. The focus is scaling the customer success motion to a large book of business. You will administer onboarding and enablement tactics across multiple products, advising on best practices for deploying ElevenLabs across web, mobile, and backend systems. You will analyze product usage and performance signals to identify friction points, unblock adoption, and help customers realize measurable value from the platform. In parallel, you will own commercial outcomes across a defined portfolio of approximately 80 accounts. Success is measured by Gross Revenue Retention and Net Revenue Retention, with a strong emphasis on sustained multi-product adoption. You will identify expansion opportunities, drive renewals and upsells, and partner closely with Sales, Engineering, and Customer Success leadership to turn technical success into durable revenue growth. REQUIREMENTS - 3-5 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the EMEA region - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven exp
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