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Engineering Manager, Developer Productivity AI
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 We are a brand new team working quickly to accelerate Stripe's 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. What you'll do We are looking for a hands-on Engineering Manager who can effectively lead a team of high-agency engineers to move quickly in a rapidly evolving technology space. You'll help set product direction in a field with a nearly endless solution space. People passionate about great products, user experience, and with strong opinions about how engineers do their best work will excel in this role. Prior experience deploying AI developer tools isn't required, but is a plus. You will: - Lead a senior, cross-continent team of engineers to rapidly deploy and leverage the latest in AI developer tooling - Deliver compelling user and product experiences for internal customers - Partner across the company to redefine how software engineers at Stripe work - Keep pace with an incredibly fast-moving technology landscape - Dig deep into usage data to understand how engineers use AI tools, identify opportunities, and help Stripe accelerate 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 - 2+ years managing high-performing engineering teams, and at least 5+ years of experience as a software engineer - Proven success in recruiting and building great teams - A track record of delivering innovative, high-quality product experiences—for internal or external users - Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs - Thrives with high autonomy and responsibility in ambiguous environments - Ability to foster a healthy, inclusive, challenging, and supportive work environment Preferred qualifications - Experience tech leading, mentoring, and managing a team that shipped products to engineers - Experience building tools and products for technical audiences—either internal or external customers - Deep curiosity and strong opinions about the use of AI in software engineering - Strong written and verbal communication skills across varied audiences, including leadership, end users, and company-wide forums
Senior Machine Learning Engineer, Agent Oversight
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Machine Learning Engineer on Agent Oversight, you will drive the end-to-end lifecycle that ensures our production agents perform reliably and improve over time. This includes building observability tools, designing robust evaluation frameworks, and developing improvement loops. Whether scaling infrastructure or researching new improvement methods, you will navigate the entire ML loop while maintaining rigorous technical standards. You will: - Build or contribute to observability into agent behavior in production — the signals and instrumentation needed to actually see what an agent is doing, not just whether it succeeded or failed - Design evaluation methodologies and metrics for agentic applications, and work with the platform to make them run automatically, at scale, across different customer use cases, not just as one-off analyses - Build, ship, and own ML systems that detect drift, anomalies, or misalignment in production agent behavior — from first prototype through running reliably at scale - Design and run rigorous experiments to validate model and agent performance improvements before they ship - Work alongside software engineers on the platform where your work intersects with broader infrastructure — but you’re expected to take your own work from idea to production, not hand it off - Collaborate closely with product managers, customers, data annotators, Forward Deployed Engineers, and other engineering teams to translate enterprise and government requirements into robust platform capabilities - Depending on focus, contribute to novel methods and approaches that push the state of the art for agent evaluation and improvement, or focus on building ML systems that hold up reliably at scale in production Requirements: - 5+ years of experience as an ML engineer or applied scientist, ideally on a production ML or LLM-powered system — not just consuming a third-party ML API within a feature - Strong grounding in at least two of the following: - Building or scaling evaluation, monitoring, or continuous-learning infrastructure for ML/agentic systems - Design experience for agent systems (architecture, orchestration, tool use) - Developing new methods, reward models, or model training/fine-tuning approaches - Hands-on experience with LLMs and agent architectures — tool use
Senior Machine Learning Engineer, GenAI Data
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. As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time. In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI. You will: - High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data - Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets - Research-to-Production Bridge: Partner with research teams to create training data for research experiments – research and implement synthetic data creation pipelines - Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models - Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access - Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling - Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs ar
Staff Software Engineer, Inference
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real-world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Proficiency in Python or Rust - Software engineering experience building and operating distributed systems in production - Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure) - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Significant experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience building load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Deep experience operating Kubernetes and cloud infrastructure at scale - Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects - Designing intelligent routing algorithms that optimize reque
Software Engineer, AI Product
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! As Figma’s customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever. You’ll collaborate closely with a cutting edge AI Research team and your work will help raise the ceiling of what’s possible for designers and lower the floor of who can design. We are seeking an accomplished and experienced AI Product Engineer who has built generative AI products to join our team and lead our AI efforts from inception to implementation. Join us in molding the future of AI at Figma! This is a full-time role that can be undertaken from one of our US hubs or remotely in the United States. What you'll do at Figma: - Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance - Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists - Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design - Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture - Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent We’d love to hear from you if you have: - 5+ years of experience of Software Engineering, with 1 or more years of developing generative AI products - Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects - Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them - Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value While it’s not required, it’s an added plus if you also have: - Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code - Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing - Proven track record of planning a multi-year roadmap in which shorter-term projects ladder up to the long-term vision - A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field - A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about
Senior Machine Learning Engineer, Discovery Recomm...
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences. You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking. Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from. In this role, you will - Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery - Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog - Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment - Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics - Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures What we're looking for - 5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context - Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking) - Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems - Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred) - Comfort working in a cloud-based ML environment - Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation - Experience with content understanding models (NLP, vision, or generative AI) used as ranking features - Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives - Experience
Software Engineer, Financial Engineering
About the team OpenAI’s Applied AI organization turns our latest model capabilities into products used by hundreds of millions of consumers, developers, and organizations worldwide. Our teams build the product experiences and platform foundations behind ChatGPT, Codex, our API platform, and offerings for businesses, enterprises, educational institutions, and other customers. Financial Engineering powers how customers purchase, access, and pay for these products. We build the systems behind pricing and packaging, checkout, payments, subscriptions, usage-based billing, credits, entitlements, invoicing, and the broader order-to-cash lifecycle. Our work spans consumer subscriptions, self-serve businesses, sophisticated enterprise agreements, developer usage, and emerging monetization models. These systems sit at the intersection of product experience and financial infrastructure. They must make it easy for customers to adopt OpenAI products while maintaining strong guarantees around correctness, reliability, security, reconciliation, and auditability. We partner closely with Product, Data Science, Finance, Accounting, Risk, Operations, and Go-to-Market teams to launch new offerings and build a financial platform that can evolve with OpenAI’s rapidly growing product portfolio. We are looking for an experienced engineer to help architect and build the next generation of these systems. In this role, you will: - Have 5+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. - Have strong fundamentals in API design, data modeling, storage systems, transactional workflows, and event-driven architecture. - Have experience building systems where correctness, reliability, observability, security, or data integrity are especially important. - Are comfortable owning ambiguous, business-critical problems from initial definition through launch and long-term operation. - Bring a product-oriented mindset and care about creating simple, trustworthy experiences for both external customers and internal users. - Communicate clearly with technical and non-technical partners and enjoy working closely with Product, Finance, Accounting, Operations, Data, and Go-to-Market teams. - Make thoughtful tradeoffs between near-term delivery and long-term system quality. - Move quickly and independently in an environment where requirements evolve, priorities compete, and the right solution is not always obvious. Nice to Have: - Experience with payments, subscriptions, billing, pricing, credits, entitlements, invoicing, revenue systems, or other monetization infrastructure. - Experience with high-scale financial or transactional systems, reconciliation workflows, compliance requirements, or audit controls. - Experience building shared platforms, APIs, frameworks, or developer tools used by multiple product teams. OpenAI US Applicant Privacy Policy We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engineering Manager (TLM, Agents)
Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain expertise in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better). - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.
Staff Software Engineer - ML Observability
The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. 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: - Drive design and implementation of LLM observability features. - Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems - Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit - Develop and extend tools for tracing, evaluating, and debugging LLMs - Influence architecture decisions and mentor engineers to build resilient, high-performance systems - Stay close to customer pain points and use those insights to guide product and engineering priorities - Stay current with industry tr
Staff Data Scientist, Firefox
Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make groundbreaking brands like Firefox, the privacy-minded web browser. Now, with more than 200 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, privacy, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Firefox Data Science team partners with Product and Engineering to grow usage of our flagship product: Firefox , the privacy-minded web browser. Our work informs prioritization, investment decisions, and the long-term growth strategy across Firefox. This Staff Data Scientist will own the analytical strategy for a major product area: identifying the right questions, defining how success is measured, and driving decisions that shape Firefox’s growth trajectory. You will be a strategic partner to product and engineering leadership: framing problems, designing measurement approaches, and translating data into clear recommendations that influence roadmap and resource allocation. You will also raise the analytical bar across the team by establishing frameworks, mentoring other data scientists, and setting standards for how we measure and learn. This role requires the judgment to know which problems matter most, the technical depth to solve them rigorously, and the influence to ensure the work drives action. What you’ll do: - Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions - Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations - Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs - Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions - Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities - <span styl
Senior Machine Learning Engineer, User Behavior
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 User Behavior? As a Senior Machine Learning Engineer for User Behavior, you will build the proactive detection and behavioral intelligence systems that fundamentally shift how Roblox responds to unsafe behavior, from reactive punishment to early, education-first intervention. You will own the ML foundation for a new capability at Roblox : identifying users at risk of becoming chronic violators before they escalate, and powering the adaptive consequence systems that give them a real chance to change. This is a rare opportunity to build a user-level behavioral intelligence capability that will define how Roblox understands and responds to risk at scale. You will feel a deep sense of responsibility in building systems that directly affect millions of users, especially minors, on one of the world's largest platforms. Your work will reduce harm, improve fairness, and help ensure Roblox remains a place where creativity and community can thrive safely. You will: - Define and Own the ML Vision: Define and lead the multi-year ML vision, architectural strategy, and execution that identify casual violators early before they escalate, and operate reliably under real-world policy and precision constraints. - Own Behavioral Prediction Models: Develop and maintain production ML models that translate user behavioral signals into actionable risk intelligence, enabling earlier and more targeted interventions. - Build the ML Foundation from Scratch: Design the user feature store, training pipelines, and model evaluation infrastructure that underpin behavioral ML at Roblox. - Instrument Experiments for Causal Validity: Partner with XFN stakeholders to ensure A/B tests on intervention variants have proper random assignment and instrumentation for future causal model training. This data cannot be retroactively collected. - Drive End-to-End Product Development: You will not just model; you will build. You will work cross-functionally to construct datasets from scratch where none exist, build labeling pipelines, and ship solutions to various product surfaces. - Ship Code, Not Just Models: Expect to own end-to-end delivery, building and operating ML pipelines from training and offline evaluation through production serving. You will integrate your models directly into the stack alongside SWE. You have:</h2&
People Partner
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 for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just "supporting" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil. We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership. LOCATION/CITY: San Francisco, CA; New York, NY RESPONSIBILITIES: - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks. - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds. - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration. - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar. - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions. - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence. - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business. REQUIREMENTS: - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment. - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level yo
Finance & Strategy, GTM - Post Sales
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams in post sales roles, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Key responsibilities - Provide expert guidance and recommendations to post-sales stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials - Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as renewals and expansion forecasting, customer retention economics, cost-to-serve, and headcount and capacity planning - Prepare and deliver clear, concise, and insightful financial reports and analyses to support planning cycles, business reviews, cost tracking and investment cases for post-sales programs - Establish and implement reporting dashboards and scorecards to track key operational and financial metrics across the post-sales customer lifecycle - Collaborate with other members of strategic finance, FP&A, revenue operations, and accounting counterparts, helping to align GTM plans with broader financial strategies and considerations Minimum qualifications - Experience in strategic finance, sales or GTM finance, FP&A, private equity, growth equity, venture capital, consulting, or investment banking - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models - Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Strong relationship building, business judgment, process management, and communication skills - Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 7+ years of experience, including time partnering directly with GTM or post-sales organizations such as Customer Success, Professional Services, or Support - Experience with consumption-based, usage-based, and/or complex enterprise business models 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
Staff+ Software Engineer, Safeguards Infrastructur...
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 software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: - Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. - Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. - Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: - Bachelor’s degree in Computer Science, Software Engineering or comparable experience - 7+ years of experience in a software engineering position - Proficiency in Python - Ability to work across the stack - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: - Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems - Have experience building metrics and measurement systems or data and privacy management systems - Have worked closely with operational teams to build custom internal tooling - Be proficient in TypeScript or Rust - Have experience with Claude Code or similar agentic coding tools Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £395,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional
Senior Product Manager, AI Content Safety
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. Every day, Roblox users play over 7M experiences, make over 270M avatar updates, send 6+ billion chat messages and talk for 1+ million hours using voice. Safety is Roblox’s top priority. As part of the Safety Group, the Content and Communications Safety team builds AI features and tools to automate review and moderation of all of these activities on the platform. Areas that the Content Safety Team works on include: - Experience reviews - The components that make up those experiences (textures, 3D meshes, models, scripts) - Avatars, Avatar items - Audio, Video - Text chat and voice conversations - and other content types As a Senior Product Manager on the team, you will work closely with leadership, product, engineering, data science, and operations teams across Roblox. In addition, you will drive critical company-level KPIs that affect how Roblox keeps the platform safe and civil. As we bring new immersive features and content types to Roblox, you will be responsible for leading the product in one of the most challenging and vital roles at Roblox. You will - Lead safety features focused on automation of content reviews by leveraging AI - Stay one step ahead of malicious actors and their adversarial tactics - Work across many modalities of Machine Learning (image, text, audio, video, 3D, code) - Ensure our users have a great experience end to end when they are creating content on the platform - Solve problems that are unique in the industry due to the large population of younger users on Roblox - Prepare and manage product requirements from conception to launch - Balance input from a wide variety of internal stakeholders and partners with potentially competing priorities and timelines You have - 5+ years of experience in product development roles - Experience in building and deploying AI-based solutions at a large scale and in real time - Experience in Trust & Safety related functions or other areas with adversarial dynamics. Preferably in a user generated content environment - Understanding of social platforms (familiarity with game engines would be a plus). - Extreme clarity in communication. Ability to summarize complex situations in a few sentences and effectively articulate your vision to c-staff level executives, cross functional partners, and other key stakeholders - Dynamic and flex
Enterprise Account Executive (Dallas)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. We are open to candidates across Texas. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies HOW TO BE SUCCESSFUL IN THIS ROLE - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry COMPENSATION Annual OTE range: $300,000 - 350,000 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
Account Executive, Public Sector
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Australia Public Sector Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI within the Australian government space, establishing and growing our presence in this strategic market. You'll leverage your consultative sales expertise and deep understanding of the Australian public sector landscape to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help define our market entry strategy and value proposition for the Australian public sector. Responsibilities - Lead Anthropic's market entry and expansion in the Australian public sector, establishing our presence and building relationships with key stakeholders across government departments and agencies - Own the full sales cycle for Australian public sector opportunities, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships - Navigate the unique procurement requirements, security standards, and compliance frameworks specific to Australian government technology adoption - Collaborate with policy teams to ensure alignment with Australian government AI strategies and initiatives - Design and execute innovative sales strategies tailored to the Australian public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers - Provide market intelligence and feedback to product teams to ensure our offerings meet Australian public sector requirements and use cases - Build and maintain relationships with relevant systems integrators and technology partners in the Australian market - Develop and document best practices for Australian public sector engagement, creating playbooks that can scale our presence in the market - Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities You may be a good fit if you have: - 10+ years of enterprise sales experience in the Australian public sector, with a proven track record of driving adoption of emerging technologies - Deep understanding of Australian government procurement processes, security requirements, and technology adoption frameworks - Security clearances required - Demonstrated ability to build and grow new market segments, with potential to develop into a leadership role - Strong track record of managing complex sales cycles and securing strategic deals in the public sector - Experience navigating multiple stakeholders across government departments, building consensus and providing innovative solutions - Excellent communication skills and ability to present confidently to all levels, from technical teams to senior government officials - Strategic thinking combined with hands-on execution capabilities - Ability to work independently while maintaining strong collaboration with global teams</li&g
Senior Machine Learning Engineer, GenAI Security
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default. We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions. We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining. What You’ll Do - Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals. - Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. - Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit. - Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic. - Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces. - Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops. - Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows. - Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving. - Translate security goals into me
B2B Marketing Lead - CEE
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking a seasoned Growth Marketer to lead our expansion into Central and Eastern Europe. We need a builder who is comfortable with the "zero-to-one" phase of regional growth. You will be the local "Source of Truth" for marketing, acting as a creative, an analyst, and an operator all at once. You should be someone who enjoys the complexity of multi-lingual markets and has the drive to implement projects from start to finish while owning the outcome entirely. YOUR RESPONSIBILITIES - Regional Growth Engine: Make sure Central and Eastern Europe B2B grows through aggressive lead generation and brand awareness. - Outbound Strategy: Build and execute complex, multi-language outbound sequences that cut through the noise. - Local Events: End-to-end ownership of local industry events, user conferences, and webinars in the region. - Cross-Functional Synergy: Collaborate with performance marketing on ABM initiatives and localized retargeting. - Analytics & Reporting: Monitor campaign performance, produce executive-level reporting, and recommend data-driven optimizations. - Localization & Messaging: Adapt ElevenLabs’ global voice to resonate deeply with the Spanish and Italian business cultures. REQUIREMENTS - Fluent Polish speaker. - Fluent English speaker. - Ownership Pedigree: You have implemented marketing projects from start to finish and held yo
Head of APAC Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an APAC Accounting Lead to build and run our regional Corporate Accounting function. This is the senior Controllership role for Asia Pacific, owning end-to-end accounting and finance operations for all APAC legal entities across Statutory Accounting and External Reporting, International Payroll, Procure to Pay, and regional Finance Systems. Reporting to the Head of International Accounting in Dublin, you will set the multi-year strategy for how we scale our financial control environment across the region, build and lead the team that delivers it, and act as the senior finance point of contact for APAC entity boards, external auditors, and outsourced service providers. This is a rare opportunity to define how a frontier AI company runs Controllership across one of its fastest-growing regions, with a mandate to use Claude and AI tooling to reimagine how regional accounting work gets done. The successful candidate will be comfortable operating as a hands-on regional controller in the near term while designing the organisation, processes, and systems required to support a rapidly expanding entity footprint. Responsibilities Regional Controllership and Operations - - Own the APAC Corporate Accounting function end to end and be accountable for the accuracy, timeliness, and control of all regional financial reporting - Own statutory financial statements, local audits, board reporting, and corporate secretarial filings for all APAC legal entities, acting as the primary relationship owner for external auditors - Be accountable for the APAC month-end close and consolidation into the global group, including journals, intercompany, reconciliations, and flux review - Own regional execution of the intercompany and transfer pricing operating model in partnership with global Tax - Own regional delivery of International Payroll and Procure to Pay in partnership with the global functional leads, and own the associated regional control framework - Own regional regulatory and statistical reporting obligations, acting as the regional finance point of contact for local statutory authorities in partnership with Legal and Compliance Team Building and Leadership - - Build, lead, and develop a high-performing regional accounting and finance operations team across multiple APAC locations - Define the regional organisation design and hiring plan as the entity footprint grows, and own the business case for incremental headcount - Manage the regional outsourced accounting, payroll, and Procure to Pay provider relationships, including the transition path between outsourced and in-house delivery Systems, Controls, and AI - - Partner with global Finance Systems on the regional deployment and continuous improvement of the core finance platform stack, owning regional requirements,
Technical Program Manager, AI Performance
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! Figma seeks an AI-Native Performance TPM to own performance prevention, diagnostics, and safe rollout for both our flagship products and next-gen AI features. This platform-level role spans desktop, browser and mobile; requires deep experience with performance testing (load, stress, endurance, interference), observability, and incident response. You’ll partner across Product, Platform, Performance Program and Product Support. Join us to keep Figma snappy quick! 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: - This is a specialist Platform TPM owning horizontal, high-visibility performance programs that span: - Flagship product performance (load times, FPS, memory) and AI features (model inference latency, throughput, cost, and reliability) - Desktop, browser, native mobile (React Native / WebView), and WASM contexts - Cross-org programs: observability/telemetry, regression prevention (performance CI), xfn performance forum, SEV mitigation, safe rollout of AI capabilities, and CE Planning (customer engineering / enterprise readiness) We’d love to hear from you if you have: - 5+ years in performance engineering, performance TPM, platform TPM, or SRE with hands-on experience shipping performance programs for SaaS products - Demonstrated experience with load, stress, performance or scalability testing and new-build comparisons - Deep familiarity with web performance (FCP, LCP), rendering/FPS, WASM memory, mobile profiling (Xcode Instruments, Android Profiler) - CI/CD and test automation experience: integrating performance tests into pipelines - Distributed systems, cloud infra (AWS), autoscaling, and capacity planning - Hands-on prior work with LLMs, prompt engineering, or agent platforms While it’s not required, it’s an added plus if you also have: - Experience with MLops or LLMs: inference latency tradeoffs, batching, caching, etc - Observability stack: Datadog / Sentry / RUM - Background as a performance engineer (not just TPM) with code or test harness contributions. - Experience with large enterprise Planning / customer load tests. - Familiarity with real-time collaborative systems and GPU/WASM performance constraints. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure</s
Member of Technical Staff (AI Researcher)
Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning
Developer Marketing Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re hiring a Developer Marketing Lead to make ElevenLabs the default audio AI platform for builders. You will own the strategy, budget, and narrative that attract qualified developers and turn intent into self-serve revenue—through positioning, launches, partnerships, content, and high-performing marketing surfaces (developer landing pages and campaigns), and later into enterprise leads. Your north star is developer sign-ups. This is a unique blend of product marketing and growth marketing, focused on developers. Day to day, you’ll craft crisp developer messaging, orchestrate launches, continuously improve developer landing experiences with a disciplined test cadence, and spin up and test new growth channels (such as developer content, partnerships, SEO and paid). You’ll work cross-functionally with paid, SEO, and comms/PR to scale what works. This is not DevRel or in-product (no docs/SDKs/onboarding). This can be an IC role or a hybrid of IC and manager. REQUIREMENTS - 5+ years doing growth/marketing at fast-growing companies, or selling your own products. - Deeply understand developers - what resonates and doesn’t, where they show up, how to position products for them. - Analytical skills - you can use Google Sheets and/or SQL to understand the impact of the work you’re doing. - Strong at copywriting. - Experience in multiple channels includi
Lead Counsel, Commercial
Scale is powering the generative AI wave — from the world-class data fueling frontier AI models to the enterprise AI systems that turn breakthroughs into business outcomes for Fortune 500 companies and governments worldwide. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our Legal team works on exciting legal and commercial issues at the leading edge of artificial intelligence, generative AI, and machine learning technology. This role will support our Enterprise business unit by negotiating complex revenue deals with Fortune 500 enterprise companies driving the development of agentic AI applications across industries including healthcare, insurance, financial services, and consumer goods and services. You will join a creative and solutions-oriented team that collaborates internally with teams at Scale and externally with our customers. We are looking for a relentlessly curious, deliberately open-minded, pragmatic, and action-oriented commercial attorney who can negotiate complex agreements and effectively advise on legal risk — all while being a great teammate. This is an individual contributor role with significant scope and visibility that will run deals from end-to-end and help shape Scale's commercial legal function as it scales with the business. If you enjoy solving novel and challenging problems and building strong teams and relationships while doing it, we'd love to hear from you! You will: - Draft, review, and negotiate master services agreements with Fortune 500 and other companies, working closely with our sales, product, and engineering organizations to close revenue deals - Draft, review, and negotiate a wide range of other agreements, including partnership, reseller and vendor agreements as well as data processing agreements - Partner closely with our GTM teams to drive deals and the business forward - Serve as a trusted legal advisor and business accelerator by providing practical legal counsel to sales, product, engineering, and marketing teams - Assess legal risk and advise the business accordingly - Design, implement, and iterate on policies and processes to manage legal and business risk on a global scale Ideally you'd have: - J.D. from an accredited law school and admission to the New York State Bar in good standing - 5+ years of combined law firm and in-house experience with training in commercial agreements - Experience partnering with Sales, guiding negotiation cycles, and closing high-impact revenue deals - Experience drafting and negotiating complex enterprise licensing, services, and data processing agreements - An ability to communicate clearly and concisely with business and technical audiences and effectively translate legal concepts for non-lawyers - A collaborative and low-ego approach to working across the organization, with a "roll-up-your-sleeves" attitude towards tackling novel legal issues - Deep interest in artificial intelligence, machine learning technology, generative AI, and AI applications Nice to haves: - Experience working on IP and technology transactions at a large law firm - Experience advising growth-stage technology companies regarding legal issues related to AI/machine learning and/or generative AI applications - Product or privacy counseling experience
Principal Software Engineer - ML Platform Engineer
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. The AI Efficiency team at Riot Games builds the platforms, tools, and technical foundations that help Rioters safely and effectively use AI to accelerate how we work. As these systems become increasingly important to creative, product, and development workflows across Riot, we need platform engineering that can keep pace with growing scale, complexity, and expectations. As a Principal Platform Engineer on the AI Efficiency team, you will design, build, and evolve the internal platforms, automation systems, and operational guardrails that make our AI services and developer workflows more scalable, reliable, and easy to use. You will partner closely with software engineers, infrastructure teams, and cross-functional stakeholders to improve developer experience, platform reliability, deployment safety, observability, and operational excellence across a growing portfolio of AI services, internal tooling, and supporting infrastructure. You will also help the team evaluate and operationalize a new generation of AI-native engineering workflows, including agent-assisted code review, automated bug triage and remediation, AI-driven performance and security analysis, browser-based UI validation, and other emerging automation patterns that can safely augment human judgment. This role is not only about building better platforms for today, but also about shaping how Riot adopts the next wave of intelligent engineering tooling responsibly and effectively. Current platform-engineering guidance emphasizes product-minded internal platforms, self-service, and golden paths, while modern browser automation tooling now explicitly supports AI-agent workflows and accessibility-focused testing. You’re right for this role if you enjoy making complex systems easier to use and operate, reducing cognitive load for engineers, building paved roads instead of one-off solutions, and improving reliability through strong platform design. You are energized not only by hard infrastructure and operational problems, but also by the opportunity to responsibly bring new AI-native automation patterns into real engineering workflows. Responsibilities: - Design, implement, and evolve internal platform capabilities that make AI Efficiency services easier to build, ship, observe, secure, and operate - Build and maintain self-service workflows, reusable platform abstractions, and golden paths that improve developer productivity while preserving reliability, security, and governance - Improve platform reliability through better monitoring, alerting, observability, deployment safety, release practices, and incident readiness - Define and operationalize service health indicators, SLIs, SLOs, and related reliability metrics that help teams make informed tradeoffs between reliability, velocity, and cost - Build automation that reduces operational toil and improves mean
SWE Fellow - Human Frontier Collective (Canada)
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 Canada; visa sponsorship is not available for this role. 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 - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. - Join the 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. Who Should Apply - Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). - Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. - 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 academics 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 location. Application Process - Apply: We review applications on a rolling basis. - Interview: Candidates will meet
Staff+ Software Engineer, Vertical AI Products (Mu...
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 Verticals team builds AI products purpose-built for specific industries — financial services, science, healthcare, and the broader enterprise. Most of these teams are being built 0→1 right now: you'll be shaping the product and the architecture in markets where no one has done this well yet. Where we're further along, products are already live with enterprise customers and growing fast. We're hiring Staff+ Software Engineers to build the products that bring Claude into financial services, science, healthcare, and enterprise AI workflows. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. We're hiring across all of these areas through this posting. Team placement happens during the interview process based on your background, interests, and organizational need — if you have deep experience in one of these domains, let us know in your application. About the teams Claude for Financial Services — Builds products for customers in investment banking, asset management, insurance, and corporate finance. Near-term work centers on deeply integrated experiences inside the tools these teams already use, with a roadmap expanding as we learn what's most useful. The team operates close to enterprise customers and close to research. Claude Science — We just launched Claude Science , an AI workbench for scientists that brings fragmented research tools into a single environment. The product is live and expanding fast; you'll help drive engineering through that growth. Claude for Healthcare — We're building for the entire industry — payers, providers, pharma, and beyond — with a simple long-term measure of success: people living longer, healthier lives because the system around them works better. You'll shape the product and the architecture from the ground up. Enterprise AI Products — Building what makes Claude a daily-use tool for enterprise customers across industries: plugins, skills, and shared organizational context — the connective tissue that lets Claude operate across an organization's workflows — plus the foundational systems large organizations require to deploy AI at scale, like user and permissions management, security and compliance features, and analytics infrastructure. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. What you'll do - Own technical design and delivery for a core piece of one of these vertical or enterprise products, end-to-end across the stack - Work closely with research to make the models better in your domain — shaping evals, surfacing failure modes, and feeding customer learnings back into model development - Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped pro
Data Scientist, Marketing
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 part of our growing Data Science and Analytics team, you will own the measurement strategy behind Anthropic's marketing investment. This is a foundational role, building marketing measurement at Anthropic from the ground up. Your first focus is paid media. We are bringing marketing mix modeling in-house, and you will build and operate the econometrics toolkit — marketing mix modeling (MMM), geo experiments, synthetic controls, and incrementality testing — that tells us which marketing investments actually drive growth, working in close partnership with our paid marketing data scientist. From there, you'll extend the same causal rigor to lifecycle and other marketing programs: defining success metrics oriented on activation and sustained usage, and building self-serve measurement that scales beyond any one embedded analyst. Key responsibilities - Own incrementality measurement for paid media: build and operate our in-house marketing mix model, and design the geo experiments, synthetic-control studies, and holdouts that validate and calibrate it - Translate measurement results into budget and channel recommendations that shape how marketing invests - Establish primary success metrics and guardrails for lifecycle marketing, anchored on activation and active usage rather than reach - Develop hypotheses on marketing interventions, design experiments or causal inference studies, analyze results, and make recommendations based on impact to key metrics - Make marketing measurement self-serve by establishing the metrics, tooling, and best practices that let marketing partners answer routine questions without a data scientist in the loop - Present complex technical analyses and recommendations to both technical and non-technical audiences Minimum qualifications - Hands-on experience with marketing incrementality methods, including marketing mix modeling, geo experiments, synthetic controls, and A/B or holdout testing at scale - Proficiency with causal inference and machine learning methods, and judgment about when each is appropriate - Proficiency with Python and SQL - Experience applying data science within a Marketing or Growth context - Ability to communicate complex analyses as clear recommendations for non-technical audiences Preferred qualifications - 7+ years of experience in data science, with significant time embedded in Marketing or Growth teams - Experience building measurement frameworks from the ground up, moving teams from descriptive reporting toward causal understanding - A track record of translating complex analyses into recommendations that senior marketing stakeholders act on - Experience bringing marketing mix modeling in-house, or operating one end-to-end rather than through a vendor - Experience defining activation metrics and lifecycle measurement for a product-led business - Background at consumption-based, multi-product companies serving both consumers and enterprises - Comfort setting direction and making decisions when requirements are still taking
Principal AI/ML Researcher
Principal AI/ML Researcher at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Machine Learning, Deep Learning, Reinforcement Learning, Architectural Design. Locations: Boston, MA, USA. Work mode: on site.
Staff Machine Learning Engineer, ML Efficiency
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities - Design and build systems that improve the efficiency of ML training and inference workloads. - Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. - Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. - Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. - Build benchmarking frameworks and performance dashboards for training and serving systems. - Optimize distributed training infrastructure, data pipelines, and model serving architectures. - Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. - Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required - BS, MS, or PhD in Computer Science or a related field. - 5+ years of software engineering experience. - Strong proficiency in Python - Profiency in at least one systems language (Go, C++, Rust, or Java) preferred - Experience building distributed systems at scale. - Experience with machine learning infrastructure, training systems, or model serving platforms. - Deep understanding of performance engineering and systems optimization. - Strong debugging and profiling skills. Preferred - Experience with large-scale recommendation, ranking, generative AI, or foundation model systems. - Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark - Familiarity with GPU architectures and performan
Manager, Machine Learning Engineering (Underwritin...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our innovative underwriting machine learning group. Specifically, you will manage a team of ML engineers that builds our economic decisioning engine, using novel ML techniques and rich representations of data to underwrite and optimize applications based on expected returns, lifetime value, and predicted conversion. In this role, you will help shape the future of machine learning at Affirm. You’ll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you’ll do - Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects. - Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. - Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. - Develop talent by providing feedback and guidance, and leading by example. What We Look For - Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers - Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. - Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture - You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally
Security Engineer, Detection & Response
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 At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: - Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack - Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities - Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents - Review Incident Response metrics and procedures and drive continuous improvement - Work cross functionally with other security and engineering teams - Note: This position will require participation in an on-call rotation You may be a good fit if you: - 3+ years of software engineering experience, with security experience a plus and/or - 5+ years of detection engineering, incident response, or threat hunting experience - A solid understanding of cloud environments and operations - Experience working with engineering teams in a SaaS environment - Exceptional communication and collaboration skills - An ability to lead projects with little guidance - The ability to pick up new languages and technologies quickly - Experience handling security incidents and investigating anomalies as part of a team - Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: - Experience performing security operations or investigations involving large-scale Kubernetes environments - A high level of proficiency in Python and query languages such as SQL - Experience analyzing attack behavior and prototyping high quality detections - Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics - Experience contributing to a high growth startup environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Sal
Member of Technical Staff (Backend Software Engine...
We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities - Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. - Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. - Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. - Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. - Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications - Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. - Experience with large-scale web crawlers is highly desirable. - Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. - Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. - Demonstrated passion for writing clean, efficient, and scalable systems.
Research Engineer, Visual Knowledge Work
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 looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative — you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities. What you'll do: - Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments - Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design - Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale - Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations - Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the same direction You may be a good fit if you: - Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects - Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models - Are familiar with the architecture, training, and operation of large vision language models - Are comfortable managing technical vendor relationships and iterating quickly on feedback - Are results-oriented, with a bias towards flexibility and impact - Care about the societal impacts of your work Strong candidates may also have experience with: - Designing evals or benchmarks for LLMs or vision language models - Large-scale pretraining, SL, and RL on language models - Deep learning research on images, video, or other modalities - Developing complex agentic systems using LLMs - Large-scale ETL and data pipeline development Representative projects: - Writing a vendor-facing specification for a new family of visual RL training tasks, then iterating with the vendor on coverage, quality, and reward design - Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset - Finetuning Claude to maximize its performance using a particular set of agent tools/skills The annual compensation range for this role is listed below. <p>
Senior AI Engineer | Canada | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Servic
Principal Engineer, AI Platform
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems. Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth. Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms: - AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc. - EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale - AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration - Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads - Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization - Roost — cryptographically signed software distribution and the Claude Code plugin marketplace This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact. As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongsid
Machine Learning Engineer, Radar
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 The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products like defenses against AI token theft, free trial abuse, and programmatic attacks. What you’ll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities - Build, train, evaluate, and deploy ML models that detect fraud across Stripe’s global payments network - Research emerging fraud patterns like token theft and develop ML solutions to address them - Apply advances in deep learning to improve model quality and detection rates at scale - Co-build new fraud and abuse products directly with top users 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 - 6+ years of industry experience training, evaluating, and deploying ML models in a production environment - Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch - Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals - Active interest in the latest ML developments, and how they can be leveraged to solve business problems Preferred qualifications - Experience building and optimizing real-time, low-latency ML infrastructure at scale - Strong software engineering skills and ability to design ML solutions through entire product stack - Experience applying ML to fraud detection, risk modeling, or a closely related domain - Experience designing ML products used by millions of users
Engineering Manager - AI platform
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Flo Health is the world’s most popular women’s health app, supporting over 80 million monthly active users. As our Engineering Manager for the AI Platform , you will lead the core team that builds the shared infrastructure powering every AI feature at Flo—from our chatbot and cycle predictions to personalized health insights. We don’t just use AI; we build the systems that make it possible at scale. You will work in an environment where we maintain direct technical partnerships with Databricks, OpenAI, Anthropic, and AWS, moving far beyond standard vendor relationships. The Environment Our AI Platform team is embedded directly in product delivery, working in cross-functional squads alongside our Data Platform team and external model partners. We operate with a clear but fluid strategy — iterating quickly based on rapid AI/LLM advancements and real-time metrics. You will manage a dynamic environment where roughly 30% of the team's work is reactive, driven by immediate product needs, while maintaining focus on our long-term roadmap. What You’ll Do - Lead & Empower: Manage a team of senior engineers using a distributed leadership model. You’ll provide the management layer that supports their technical execution, performance, and career growth. - Own the Roadmap: Translate product and company goals into clear team roadmaps, managing the balance between structured delivery and the reactive, business-driven work essential to a platform team. - Drive Delivery: Coordinate cross-pod dependencies, resolve blockers, and track roadmap milestones. - Technical Stewardship: Participate in architectural reviews and provide hands-on technical guidance (~20% of your time). You’ll help the team maintain high standards for safety, medical compliance, and performance. - Cross-Functional Impact: Act as the primary point of contact for stakeholders across Product, Analytics, and Engineering, while representing Flo’s AI vision to our industry partners. What you bring: - Engineering Leadership: Proven track record managing engineering teams in fast-moving product environments. You know how to build high-performing teams, mentor talent, and hire effectively. - AI/ML Infrastructure Depth: You have direct, hands-on experience leading or building ML systems in production. You understand MLOps, model serving, or AI platform engineering. - The "Manager-as-Leader" Mindset: You aren't looking to spend your day
Marketing Events Lead, Enterprise
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Enterprise Events Lead at Anthropic, you will own the development and execution of enterprise-focused events that accelerate pipeline, deepen customer relationships, and elevate Anthropic's brand presence with key enterprise audiences. You will be responsible for designing and delivering high-impact event experiences—from major industry conferences to hosted summits, and partner activations. In this role, you'll collaborate closely with Sales, Partnerships, Product Marketing, and Creative teams to ensure every event touchpoint reinforces Anthropic's position as a leader in safe, frontier AI. You'll bring a strategic mindset grounded in data, a talent for flawless execution under pressure, and the ability to translate complex enterprise goals into compelling in-person and hybrid experiences. This is a high-visibility role with significant cross-functional impact, ideal for someone who thrives at the intersection of strategy and logistics in a fast-moving environment. Responsibilities: - Lead the development and execution of enterprise events, aligning programs to pipeline generation, account engagement, and brand objectives - Manage a team of full time and contracted employees - Conceptualize and produce hosted events such as executive roundtables, customer summits, and intimate dinners that support account-based marketing goals - Collaborate with Sales and Partnerships teams to optimize meeting programs, briefing schedules, and on-site engagement strategies at events - Partner with Creative Studio on experience design, ensuring Anthropic and Claude brands are represented consistently and compellingly - Manage end-to-end event logistics including vendor relationships, budgets, contracts, staffing plans, and timelines - Develop pre-event and post-event communications, including "Know Before You Go" guides, staff and speaker training, and attendee follow-up plans - Establish and track event KPIs—including lead generation, pipeline influence, meeting volume, and attendee engagement—to measure ROI and inform future strategy - Build scalable event processes, playbooks, and documentation to support Anthropic's growing event portfolio - Manage relationships with external event agencies, vendors, and venue partners - Travel on-site to events to provide hands-on logistics management and ensure seamless execution - Drive continuous improvement through post-event analysis and stakeholder feedback You may be a good fit if you: - Have 18+ years of experience in enterprise event marketing, field marketing, or a related role, ideally at a high-growth B2B technology company - Have a proven track record of executing large-scale conferences, trade shows, and hosted executive events that drive measurable business outcomes - Are highly organized with exceptional project management skills and the ability to manage multiple complex events simultaneously - Have experience partnering with enterprise sales teams to align event programs with pipeline and revenue goals <l
Support Operations Lead
About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from individual customers to early-stage startups and established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role We are seeking a Support Operations Lead who combines operational leadership, systems thinking, vendor management, and hands-on execution. You’ll own service health, automation programs, partner and vendor management. In addition to delivering high-quality service, you’ll identify opportunities to reduce manual work, experiment with tools and help operationalize AI across support at scale. This is not a traditional support operations lead role. We’re looking for someone to help us define the future of support, who thrive at the intersection of team/project management, systems building, data science/engineering, and with deep craft experience in the support operations space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 1-2 weeks of travel per quarter may be required. In this role, you will: - Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains. - Lead multi-site partner management, including commercial ownership, capacity planning and workforce management, QBRs, and performance recovery. - Own end-to-end service governance for partner and vendor teams, including automation rate, cost to serve, first-response time, productivity, and quality. - Set standards for how work gets done at scale, replacing one-off fixes with reusable systems. - Upskill teams and partner with Automation Engineering, Support Engineering, and Fraud & Risk to embed LLM-powered tools into frontline workflows. You might thrive in this role if you: - Have 10+ years of experience in support operations including 4+ years leading senior individual contributors with a strong track record of coaching, driving accountability, and improving performance and automation adoption at scale. - Are comfortable managing a team while staying hands-on in solving ambiguous operational problems. - Are fluent in operational data and technical collaboration, able to define metrics, interpret dashboards, design experiments, and partner with engineering and data teams to turn ambiguous support problems into scalable systems. - Think in systems, using process design, data, tooling, and automation to reduce manual work and create durable capacity. - Can partner credibly with technical teams and translate support needs into clear requirements, owning problem definition, adoption, change management, and operational outcomes. - Are energized by building structure in a high-growth environment where the support model, tooling, and partner strategy are still evolving. - Have scaled support operations through organizational design and tooling in a high-growth technology company without compromising quality. 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.
Education Marketing 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. ABOUT THE ROLE Location: San Francisco, CA or New York City, NY LangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain's products. We're looking for an Education Marketing Lead to own the strategy and execution that turns LangChain Academy into a meaningful growth channel for LangChain at large. This is a high-ownership role sitting at the intersection of education and growth. You'll build the programs, systems, and go-to-market motions that drive Academy enrollment at scale, while shaping the learner experience that keeps developers coming back and advancing through our curriculum. You'll work with the Technical Content Manager and across education engineers, deployed engineers, brand design, lifecycle marketing, and our SEO agency. LangChain already has strong technical credibility and a developer community that cares deeply about building with our products. Education is one of the highest-leverage ways to deepen that relationship and expand our reach. Your job is to build the marketing engine that makes LangChain Academy a destination for agent engineers. WHAT YOU'LL DO Marketing Academy - Drive enrollment. Develop and execute promotional campaigns that reach developers where they are, within LangChain docs, on social, through the newsletter, and via community touchpoints, to consistently drive top-of-funnel course enrollment. - Build and scale certification programs. Own the development and launch of LangChain Academy certification offerings, from program design and credentialing mechanics to marketing and positioning that makes them worth earning. - Drive organic discovery through SEO. Partner with our SEO agency to own search strategy for Academy landing pages and educational content. Ensure courses and tutorials are positioned to capture high-intent developer search traffic and continuously improve organic reach over time. - Lead end-to-end course launches. Own the go-to-market process for every LangChain Academy course, from launch planning and cross-functional coordination to promotional execution across docs, socials, the LangChain website, email, and community channels. - Own LangChain Academy's external presence. Manage and continuously improve the Academy landing pages and external-facing site. Learner Lifecycle & Engagement - Invest in email and nurture flows for enrolled learners. Partnering with lifecycle marketing to build and optimize onboarding sequences, course completion nudges, and flows that keep learners progressing and guide them toward their next course or certification. - Collaborate with the Technical Content Manager on pathways and bundles. Work closely w
Enterprise Account Executive, DOD/IC
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 Federal DOD/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DOD/IC agencies. You'll leverage your deep understanding of DOD/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DOD/IC market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within DOD/IC agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of DOD/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols - Build and maintain relationships with key decision-makers across DOD/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments - Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives - Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DOD/IC requirements, including classification levels and air-gapped environments - Create and maintain sales playbooks specific to DOD/IC use cases, procurement processes, and security requirements - Take a leadership role in growing our DOD/IC presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols You may be a good fit if you have: - 7+ years of enterprise sales experience in the DOD/IC space, with a proven track record of driving adoption of emerging technologies - Deep understanding of DOD/IC agency missions, operational challenges, and technology needs across classification levels - Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments - Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments - Experience navigating complex DOD/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles - Strong track record of exceeding revenue targets in the DOD/IC space - Extensive experience with DOD/IC contracting vehicles, procurement mechanisms, and security compliance requirements - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership - Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security person
Strategic Account Executive, Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: - 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “
Account Executive - DACH - Core
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. We’re looking for a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4–6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Exper
Enterprise Account Executive - FSI
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Responsibilities - Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. - Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units - Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives - Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance - Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards - Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance You may be a good fit if you have - 8+ years of enterprise sales experience in Korea, with significant exposure to financial services - A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance - Direct experience navigating Financial Supervisory Service (FSS) requirements and review processes — this is required given how heavily FSS oversight shapes technology adoption in Korean FSI - A track record of managing complex, multi-stakeholder sales cycles typical of FSI, including rigorous security and compliance review - Proven experience exceeding revenue targets within financial services accounts - Excellent communication skills in both Korean and English - A passion for AI built and deployed safely What We Offer - Competitive base salary and commission - Equity participation - Comprehensive bene
Senior Business Systems Analyst, Finance Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation. In this role, you will - ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations. - Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements - Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment - Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions - Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R) - Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations - Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation. You may be a good fit if you - Have 8+
Director of Engineering, Economy ML
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. The Economy ML team sits at the center of this mission. We build ML and AI systems that power personalization, search, pricing, recommendations, and virtual item intelligence across Roblox Economy surfaces, including Avatar Marketplace, Payments, Developer Monetization and Subscriptions. As Roblox continues to invest deeply in AI and ML, this organization also plays a key role in advancing next-generation AI capabilities across the company through close partnership with Discovery, Foundation AI, Engine, Creator and product engineering teams. Our work spans both product impact and foundational ML innovation at Roblox scale. We are looking for a Director of Engineering to lead and scale Economy ML. This leader will define the strategy, organization, and execution model for a fast-growing ML organization spanning recommendation systems, ML infrastructure, search, content intelligence, and Generative AI applications. Why Roblox for ML/AI - AI/ML is a top company priority , with strong executive support and long-term investment. - Massive real-world scale: Millions of users, creators, and economic interactions every day. - Unique technical challenges: Recommendations, pricing, fraud, search, and content understanding and generation across 3D assets, avatars, UGC, and virtual economies. - End-to-end ownership: Drive strategy and execution from modeling and infrastructure to production impact. - Frontier innovation: Apply modern ML and GenAI techniques to problems that do not exist anywhere else in the industry. You Will - Define and lead the long-term strategy for Economy ML across core modeling, recommendations, search, pricing, content intelligence, and ML systems. - Build and scale a high-performing ML engineering organization, including managers and senior ICs. - Partner across teams to help advance shared AI technologies, infrastructure, and modeling capabilities that power experiences throughout Roblox. - Lead investments in next-generation ML systems, including large-scale recommendation models, foundation models, semantic retrieval, and Generative AI workflows. - Establish scalable ML development practices across experimentation, feature engineering, model serving, training infrastructure, and evaluation. - Drive adoption of modern ML architectures including transfor
Software Engineer, Hardware Health
About the Team The Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet. Our mission is to maximize healthy, usable compute across accelerator vendors, generations, cloud providers, and regions through reliable health signals, automated remediation, and scalable operational tooling. We build the systems that observe, detect, remediate, and verify hardware issues across GPUs, CPUs, networking, and platform infrastructure, enabling frontier model training and inference workloads to run reliably at hyperscale. We are the last line of defense for the success of OAI’s production and research workloads. About the Role On the Hardware Health and Observability team, you’ll build critical infrastructure that keeps OpenAI’s largest compute clusters healthy and operational at scale. Even small numbers of unhealthy systems can impact large-scale training and inference workloads. This team focuses on minimizing downtime, improving fleet efficiency, and ensuring compute resources remain continuously available to researchers and product teams. Engineers on this team own problems end-to-end, from defining health signals and debugging failures to building automated remediation systems that operate across millions of GPUs globally. In this role, you will: - Define and maintain health signals across GPUs, CPUs, networking, and platform infrastructure. - Build and evolve health checks that detect, remediate, and verify failures at scale. - Ensure critical health checks execute with minimal latency to maximize workload uptime. - Investigate hardware failures and system-level issues across large-scale compute environments. - Own node lifecycle workflows including drain, quarantine, repair, RMA, and return-to-service processes. - Build automation and tooling that enables global cluster management with minimal manual intervention. - Partner with workload, reliability, and provider teams to integrate health signals into training and inference systems. You might thrive in this role if you have: - 7+ years of industry experience in software or infrastructure engineering. - Strong proficiency with Python and shell scripting. - Experience building large-scale distributed systems or infrastructure platforms. - Comfort digging into noisy operational data using SQL, PromQL, or similar tooling. - Experience building reproducible analyses and operational tooling. - Strong systems debugging and operational instincts with an ownership mindset. Bonus if you have: - Experience with low-level hardware systems and Linux tooling (e.g. PCIe, InfiniBand, RoCE, networking, power management, kernel performance tuning, FW/SW debugging). - Experience operating or debugging large-scale GPU or accelerator clusters. - Expertise in network operations, observability, or systems telemetry. - Experience with automated remediation systems or fleet lifecycle management. - Experience improving reliability, utilization, or workload uptime in distributed compute environments. 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.
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