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Senior Product Manager, Flora
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do - Talk directly with developers, AI companies, publishers, and customers every day. - Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. - Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. - Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. - Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, - Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . - Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. - Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience - Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. - Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. - Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. - Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. - Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. - Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. - Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. - Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. - Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. - Passion for design details and polish. You raise the bar for sweating the details. - External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. - For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 - For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 - For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Machine Learning Software Engineer (Match G...
Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group’s global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc . Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust & Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering. Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a Senior MLSE at MG AI ML Engineers (MLEs) at MG AI own the model and the metric it optimizes. Machine Learning Software Engineers (MLSEs) own what turns that model into a real product: the services and pipelines that serve millions of users, kept fast, reliable, and cost-efficient. Our problems change as products and AI change, so we care more about how you get things done than about any one tech stack. We are also an AI-native team: almost all of our work is done with AI agents (e.g., Claude Code, Codex). Recent examples from the team: - Trust & Safety: Build AI systems that keep users safe at Tinder scale. - AI APIs for multiple brands: Turn AI features proven on Tinder into shared APIs that other Match Group brands can use. - New AI experiences: Prototype AI features that help users show their best selves, and take the ones that work to production. Selected work on our Tech blog (written in Korean). On-device AI Face Verification Pipeline Optimization 10 Python Performance Optimization Tips for High-Performance ML Backends What You’ll Do You lead ML projects from a rough goal to a production system that millions of users rely on. Lead Projects Across Teams: Turn a broad goal into a concrete plan, and keep ML Engineers, PMs, and brand partners across our global offices (Palo Alto, LA, New York, Vancouver, Dallas, Tokyo) aligned. Clear blockers, including ones outside our team. Design and Build ML Systems: Design backend services and real-time/batch data pipelines that bring ML models to production, from first prototype to millions of users. Work as a real technical partner to ML Engineers. Serve Models Fast and at Low Cost: Serve deep learning models and large language models with low latency and reasonable GPU cost. Improve throughput with batching, caching, and better use of hardware. Raise the Bar: Set the example in problem definition, design docs, and AI-driven development, and help other engineers grow. Required Qualifications Project Ownership (most important): A track record of leading a complex project from a rough goal to a production system you could stand behind: defining the problem, choosing the technical direction, and owning the outcome. You can explain the trade-offs behind your technical and product decisions. Engineering Experience: 5+ years of software engineering (backend, ML systems, data engineering, or similar), including building and running services or data pipelines in production. System Design: You can design scalable, reliable systems and clearly explain the trade-offs. Hands-on Coding With AI: You write clean, well-tested code (Python preferred), and AI coding agents are part of your daily work. High Agency and Grit: You find what needs to be done and drive it to a result fast, without waiting for instructions or cutting corners on quality. When you hit a wall, you find another way. Collaborative and Coachable: You understand what others really need and can persuade them. You take feedback well, act on it, and use AI to learn new things quickly. Professional Working Proficiency in English and Korean: Able to lead business meetings and take part in complex discussions without help. Preferred Qualifications Have a strong base in CS fundamentals, or have worked closely with ML Engineers on how models are trained and served Have worked as a tech lead or manager Have built Trust & Safety systems, recommendation system, AI product features, or ML APIs used by multiple teams Have served ML models (vLLM, Triton, Ray Serve) or built large-scale backends and data pipelines (Spark, Flink, Kafka) Have turned vague product ideas into something users love, without every detail spelled out Have worked with teams in other companies, countries, or time zones Native-level English Hiring Process Work type: Full-time Legal Entity: Hyperconnect / Brand: Match Group AI Recruitment Process: Resume Review > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer (* Please note that part of the interview process may be conducted in English) For the document screening stage, only successful candidates will be individually notified of the results. Application documents: A detailed, career-based English resume (PDF) in free format
Principal Machine Learning Engineer, Signals and M...
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We’re looking for a Principal Machine Learning Engineer to join our Signals & Measurement team at Snap! What you’ll do: Design and develop machine learning systems across the third-party signal lifecycle, from acquisition and curation to matching, attribution, and causal measurement Design, implement, and scale critical machine learning models to support Snap's monetization strategies Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management Provide technical direction that influences the entire ML community Knowledge, Skills & Abilities: Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising measurement, recommendation, and/or search domain Experience setting the direction for a team whose primary output is online ranking / recommendation models Ability to design, train, and optimize advanced machine learning models Excellent programming and software design skills Ability to proactively learn new concepts and technology and apply them at work Skilled at solving ambiguous problems and leading and executing complex technical initiatives Strong collaboration and mentorship skills Minimum Qualifications: Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience 9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases Experience with TensorFlow, PyTorch, or related deep learning frameworks Preferred Qualifications: Experience with signals and measurement stack, identity resolution, anomaly detection or causal measurement Familiar with attribution and advanced measurement methodologies Experience in online advertising, including ad targeting, ranking, auction, and/or marketplace optimization. Advanced degree in a related field such as machine learning, computer vision, or mathematics Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments Experience working with a diverse group of engineers Experience contributing to AI publications If you have a disability or special need that requires accommodation, please provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) : The base salary range for this position is $276,000-$414,000 annually. Zone B : The base salary range for this position is $262,000-$393,000 annually. Zone C : The base salary range for this position is $235,000-$352,000 annually. This position is eligible for equity in the form of RSUs. If you believe this job description is missing required pay transparency information, please submit a report through this form : Job Description Pay Range Disclosure .
Senior High Performance AI Engineer, Agentic AI
We are looking for outstanding Senior High Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. Our team works across the full agentic AI stack—from training and improving models, to designing agent architectures and multi-agent systems, to building the systems, runtimes, and evaluation frameworks that make them effective at scale. You will help develop intelligent agentic systems that can reason about, generate, optimize, and operate across NVIDIA's accelerated computing stack. This includes advancing model and agent capabilities, building scalable agent systems and runtimes, developing high-fidelity training and evaluation environments, and co-designing with NVIDIA's libraries, runtimes, compilers, and hardware. You will collaborate closely with internal NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products. What you'll be doing: Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration. Build the data, environments, verification, reward, and evaluation systems needed to continuously improve model and agent capabilities. Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred. 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas. Hands-on experience in one or more of the following: agent systems, coding agents, reinforcement learning, or modern AI inference systems. Strong C/C++, Rust, and Python programming skills, with solid software engineering fundamentals. Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms, and the ability to work effectively across system boundaries. Ways To Stand Out From The Crowd: Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools. Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine. Deep expertise in GPU systems and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software. Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Research Engineer
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world. Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice. Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We’re looking for a Research Engineer to join the Spectacles BCI Team at Snap Inc.! In this role, you will be working on the state of the art of machine learning (ML) for time series data, developing the next generation of wearable device sensing. Working from our Paris office (9th arrondissement), you will be collaborating closely with other Specs hardware and software teams around the world. What you’ll do: Conduct focused, product-related research projects, defining hypotheses and designing experiments using electrophysiological and cognitive data. Review relevant literature and translate scientific knowledge into modeling approaches aligned with product needs. Build signal-processing and ML pipelines for noisy, real-world time-series sensor data. Develop algorithms and ML models for cognitive and physiological decoding using multimodal biological signals captured via wearable devices.. Collaborate with software and research teams on model development and evaluation, data capture and demos. Translate findings into clear recommendations for stakeholders and leadership. Knowledge, Skills & Abilities: Strong signal-processing fundamentals applied to noisy, real-world biosensor data. Proficiency in Python and experience with scientific-computing and ML tools. Working knowledge of ML for multivariate time series and multimodal sensor fusion. Ability to turn research or product questions into concrete technical plans, experiments, metrics, and deliverables. Ability to clearly communicate model limitations, uncertainty, and technical tradeoffs clearly to cross-functional partners. Familiarity with AI-assisted engineering workflows. Minimum Qualifications: Master’s degree in machine learning, computer science, biomedical engineering, computational neuroscience or related fields. 3+ years of relevant research or engineering experience developing algorithms or models for time series, biometric, physiological, wearable, behavioral, or multimodal data. Hands-on experience with wearable biometrics products or platforms, such as smartwatches, fitness trackers, health trackers, sports-performance wearables, or similar real-world sensing devices. Preferred Qualifications: PhD in biomedical engineering, computational neuroscience, signal processing with a focus on biosignals or an equivalent record of applied research and engineering impact. Experience in electroencephalography, Brain-Computer Interface or cognitive-state estimation. Experience designing ML systems for multivariate time series, representation learning, calibration, or domain adaptation. Experience with artifact-aware modeling, noisy labels or physiological proxy labels. Experience deploying or optimizing ML models for real-life environments Experience with agentic AI workflows, skills-based automation, or AI-assisted research. If you have a disability or special need that requires accommodation, please provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Machine Learning Engineer
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world. Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice. Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We’re looking for a Machine Learning Engineer to join the Brain-Computer Interface team at Snap Inc! In this role, you will be working on the state of the art of machine learning (ML) for time series data, developing the next generation of wearable device sensing. Working from our Paris office (9th arrondissement), you will be collaborating closely with other Specs hardware and software teams around the world. What you’ll do: Design, implement and deploy ML models and systems Collaborate across software and research teams to deploy new ML systems and algorithms, and resolve integration issues Develop tools for training, testing and evaluating ML algorithm performance Write clean, well designed and tested code Communicate technical tradeoffs clearly through design docs and reviews Knowledge, Skills & Abilities: Strong knowledge in Python Deep understanding of ML principles, algorithms and systems Ability to understand, debug and improve existing code as well as develop new algorithms using advanced time series and ML techniques Great spoken and written communication skills; ability to clearly explain complex ideas in a cross-functional team through design docs and presentations Minimum Qualifications: MSc in Machine Learning or Computer Science, or equivalent field Strong knowledge in Python or C++ 3+ years of research or engineering experience with ML approaches Experience with ML frameworks (e.g. PyTorch, mlflow), as well as with cloud environments (Google Cloud, AWS). Fluency in English Experience with engineering workflows including version control (git) and code reviews Familiarity with AI agents to support engineering and ML workflows Preferred Qualifications: PhD in Machine Learning or Computer Science, or equivalent field Expertise in algorithms for digital signal processing, time series, EEG or other physiological sensors data Experience with real-time ML and sensor systems Experience with continuous integration and code quality tools Experience developing AI agentic tools to support engineering workflows and ML experimentation If you have a disability or special need that requires accommodation, please provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Machine Learning Engineer, Generative ML, Level 4
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Snap’s Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference. Our team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. We're looking for a Machine Learning Engineer to join our Generative ML team! What you’ll do: Develop innovative machine learning technology and products that serve millions of Snapchatters Work on state of the art generative pipelines for image, video, language or audio generation Deliver generative machine learning experiences on device Build cutting-edge augmented reality experiences using generative and diffusion models Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Strong software development skills in Python or C++ Proficiency working with major deep learning frameworks: PyTorch or TensorFlow Knowledge of mathematics and deep learning foundations Desire to solve open ambiguous problems Desire to grow professionally, learn and help others Ability to effectively collaborate with internal teams and external partners Ability to work independently Minimum Qualifications: Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field Research or engineering experience in one or more of the following: generative models, efficient models, diffusion models, language models, or other related applications of machine learning Preferred Qualifications: Master's degree or PhD in a related technical field Experience developing real-time software for mobile applications Knowledge of GenAI, especially image, video, language and audio generation foundations Knowledge of efficient model foundations Track record of successful projects in GenAI field Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc. If you have a disability or special need that requires accommodation, please provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) : The base salary range for this position is $173,000-$259,000 annually. Zone B : The base salary range for this position is $164,000-$246,000 annually. Zone C : The base salary range for this position is $147,000-$220,000 annually. This position is eligible for equity in the form of RSUs. If you believe this job description is missing required pay transparency information, please submit a report through this form : Job Description Pay Range Disclosure .
Computer Vision Engineer, Data Capture
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world. Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice. Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We’re looking for a Computer Vision Engineer, Data Capture to join the team in Vienna, Austria! In this role, you will be working on Computer Vision, Graphics and Machine Learning technologies to develop the next generation of Snap’s wearable computing devices. Working from our Vienna office, you will be collaborating closely with other Snap hardware and software teams around the world. What you’ll do: Design, implement and integrate new components and technologies into our data-driven pipeline. Work with computer vision team to deliver next-generation CV capabilities (such as eye tracking, gaze detection etc.) technology for our wearable computing devices Work with engineering and machine learning teams to support the full product life cycle of developing Augmented Reality applications Contribute to continuous integration infrastructure, automated tests, code review and code quality analysis Skills, Knowledge, Abilities: Deep understanding of multiple-view geometry for computer vision and graphics Outstanding problem solving skills Team player with great communications and interpersonal skills. Being able to prioritize duties and work autonomously Minimum Qualifications: BSc/MSc in Computer Science, Computer Graphics with 2+ years of relevant experience from industry 3+ years of experience in software development with modern C++ or Python. Solid knowledge of 3D geometry, trigonometry and linear algebra Solid knowledge of geometric computer vision and/or graphics Preferred Qualifications: Experience with data capture and generation for ML Experience with topics related to 3D computer vision (e.g. calibration, eye tracking, 3D mapping, etc) Experience with 3D graphics and 3D game engines such as Unreal or Unity, e.g. texture and UV mapping, rigging and animation of models etc. Experience with cloud environments (GC, AWS, etc) If you have a disability or special need that requires accommodation, please provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
High-Speed Digital and Optics Solutions Engineer –...
Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. As a member of Keysight’s AI-focused Solutions Engineering team, the Solution Engineer works closely with our account managers and plays a key role in identifying customers’ test challenges early and defining the optimal measurement and validation approach. The role provides technical pre- and post-sales support, customer presentations, demonstrations at marketing events, and customer training, with a particular focus on the high-speed digital and photonic technologies that enable and accelerate AI infrastructure. Typical customer requirements include state-of-the-art signal analysis, compliance, characterization, and validation solutions for electronic and photonic components used in AI compute, storage, and data-center networking. Application areas include high-speed interconnects and SerDes, PCIe and CXL, Ethernet and optical links, memory interfaces, and other technologies that increase the performance, bandwidth, power efficiency, and scalability of AI systems. Customers include leading semiconductor, compute, data-center, wireless, and communications companies, as well as universities, medium-sized companies, and start-ups developing technologies for next-generation AI infrastructure. The position is based at the Keysight Technologies office in Madrid or Barcelona, Spain. Responsibilities The position requires international collaboration with colleagues worldwide, our factories, and the broader Keysight AI ecosystem. You will serve as a technical interface between customers and Keysight product development, translating emerging AI infrastructure requirements into effective test strategies and helping shape solutions for rapidly evolving standards and architectures. Typical customer requirements are solutions for a wide range of signal analysis and electronic component test applications always in front of future state-of-the-art technologies. The customers are major accounts in the Wireless and Communication Industry as well as Universities and Geographic mid-size and start-up companies. The position is located in the Keysight Technologies office Madrid or Barcelona in Spain. The position requires international cooperation with colleagues world-wide and our factories. You are the technical interface between the customers and Keysight product development. A comprehensive technical training program, complemented by the development of the specialist skills required in the sales and service environment, will enable you to start your new position effectively. Customer visits require frequent travel (> 50% of work time). Qualifications The position requires a University Degree in electrical / communications engineering, physics, computer engineering, or an equivalent course of study and a minimum of 3 years’ professional experience in digital and/or photonic test and measurement applications. Experience with technologies used in AI compute, data-center, semiconductor, or high-performance networking environments is an advantage. The following job-related skills are required Comprehensive knowledge of Digital and Photonics test fundamentals in theory and practical measurement applications Practical experience using Oscilloscopes, Bit Error Rate Testers, Protocol Analyzers, optical instruments and other state-of-the art measurement instrumentation Strong personal interest in the AI sector and curiosity about the technologies accelerating AI innovation, including GPUs and AI accelerators, high-speed interconnects, data-center networking, memory technologies, and optical connectivity Knowledge of High-Speed Digital PHY standards and interfaces relevant to AI infrastructure, such as PCIe, CXL, DDR, high-speed Ethernet, and OIF CEI, including an understanding of SerDes validation and signal-integrity challenges Ability to connect high-speed digital and photonic measurement challenges with AI system performance, scalability, reliability, and energy efficiency, and to communicate this value clearly to technical and business stakeholders Practical experience in the development and setup of test systems Programming skills applied in a T&M environment such as Python, Matlab, and C/C++/C# Understanding of I/O connectivity and instrument drivers Business proficiency in Spanish and English languages required The complexity of the business environment and the fast-growing AI market demands strong international teamwork with other Keysight organizations, a proactive learning mindset, and the flexibility to adopt emerging AI-related technologies, standards, and use cases quickly. A strong proactive customer focus and professional presentation experience is required. The delivery of customer training and seminars requires excellent teaching skills. It is important that you like to communicate and work together with other people in a team. Careers Privacy Statement*Keysight is an Equal Opportunity Employer.*
Senior Security Researcher
Chainalysis is building the data, intelligence, and technology that enable organizations to investigate and prevent crypto-related crime. Our teams combine deep blockchain expertise with advanced technology to help make the digital asset ecosystem safer and more trusted. This team is a small, highly technical group focused on exploring emerging threats and technologies, turning insights into practical solutions, and bringing new ideas from early concepts through production. We are looking for a talented Researcher who is excited by new and emerging technologies and can help move the organization forward by developing new capabilities, from design and proof of concept through production. The position is office-based in Tel Aviv. In this job, you'll: - Design, implement, and improve threat detection models and frameworks - Be an expert on bleeding-edge web3 technologies - Write excellent code and be an integral part of engineering efforts - Solve sophisticated technical problems and "make hard things work" - Work in a small, agile, fast-moving team that is best in class We’re looking for candidates who have: - Proven experience in research in highly technical environments / low level R&D - Ability to excel in a dynamic environment with rapidly changing requirements - Previous experience in software development or R&D style teams Nice to have experience: - Blockchain prior experience / interest - Experience with Python, Go, or Rust - Experience with classic data science / machine learning - Experience with building agentic LLM-powered products Technologies we use: - Python - Go - Rust - Agentic workflows AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here . We can’t wait to meet you.
Research Engineer - Tokenizer & Protocols
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the role Between a conversation and a model sit the formats and tokenizers that every part of our stack relies on. You will help own them, and the tooling around them, so that training, evaluation and production all speak exactly the same language. You will work across the entire stack, spanning pretraining, post-training and deployment, and your decisions will reach every model we ship. What you will do - Design, build and maintain core libraries for tokenization and model interfaces. - Evolve our formats and tokenizers as models and use cases change. - Turn research needs into robust, shared tooling. What we're looking for - Strong software engineering background, with excellent Python. - Excellent understanding of tokenizers: BPE and other tokenization algorithms, special tokens, chat templates, and tokenizer training; ideally hands-on experience with libraries such as tiktoken or Hugging Face tokenizers. - Experience building production-grade libraries used by many people. - A taste for correctness and attention to detail. - Good knowledge of how LLMs are trained and served. - Clear communication, low ego, and a collaborative mindset. - Nice to have - Open-source maintenance experience. - Experience with inference engines. Location and remote This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office for the first week of their onboarding (accommodation and travelling covered), then at least 4 days per month What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Member of Technical Staff, Data Platform
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role We are looking for a Member of Technical Staff, Data Platform to design and maintain the scalable data infrastructure and frameworks the rest of the data team builds on. You will be part of the team that owns our warehouse, ETL orchestrator, data governance, data compliance and data quality framework. You will ensure that domain-specific data engineers can build the pipelines our business teams need, and that every business user can effectively access and leverage company data. What You'll Do - Ensure the warehouse scales, queries are performant, and cost is under control. - Contribute to data architecture principles, ensuring our data model stays organized as it scales up. - Ensure data ingestion and ETL orchestration works reliably and efficiently. - Manage access controls to balance least-permissions policies with the speed of the business growth. - Ensure our data quality framework effectively protects the accuracy of critical data our business depends on. - Ensure our data platform complies with privacy regulations such as GDPR and CCPA, including PII classification, data retention, and data subject deletion requests. - Quickly and efficiently resolve any incidents impacting production, conduct postmortems, and identify improvements to ensure reliable operations. What We Are Looking For - REQUIRED - 5+ years in data platform or data infrastructure engineering. - Experience administering a cloud data warehouse at scale, including performance tuning and cost management. - Experience operating ETL orchestration or transformation frameworks in production (Airflow, Coalesce, dbt or similar). - Proficiency in Python (or a similar language) for building data tooling and automation. - Experience with Terraform or other infrastructure as code. - Experience being on-call for data systems and responding to production incidents. - PREFERRED - Experience with GCP services including BigQuery, IAM, GCS, etc. - Experience managing a data quality or observability tool (e.g. Bigeye, Monte Carlo, Great Expectations). - Experience designing access controls, data catalog and data lineage services. - Experience implementing GDPR/CCPA compliance in data systems (e.g. PII tagging, retention policies, deletion workflows). Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Senior Manager, Customer Marketing
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The role You'll be our first Senior Manager of Customer Marketing, and your job is to market Fireworks through our customers. That means two things: putting customers' voices, results and stories in front of the next buyer, and marketing our customers themselves, so the teams who build on Fireworks are seen and celebrated as advocates. Our customers are shipping some of the most interesting AI products in the world, from AI-native startups to some of the largest enterprises. The buyers we most want to reach trust their peers more than they trust us. You'll build the references, stories and peer moments that let customers at their scale and in their industry make the case for Fireworks, and you'll turn the champions inside our accounts into advocates who bring Fireworks to the next team. This is a hands-on role with full ownership. You'll set the strategy, build and run the programs, working through cross-functional partners and outside help like agencies or freelancers where it makes sense. As the programs prove their impact, you'll help shape how the function grows. You'll report to the Head of Global Strategic Events and work daily with Sales, Revenue Marketing, Developer Relations, Product Marketing, Product and Strategic Events. Our buyers range from the engineers and ML leads who evaluate Fireworks to the CIOs, CTOs and AI platform owners who sign off. So the best proof isn't just a logo on a slide — it's a builder explaining how they cut latency or cost on Fireworks, in their own words, with real numbers. For enterprise buyers, it's also an executive at a peer company vouching that Fireworks held up at their scale. What you'll do You'll decide where to start and which programs matter most. The work spans a few connected areas, and each one turns a happy customer into a voice for Fireworks. Customer advocacy - Build an advocacy program people want to be part of, from the engineers and ML practitioners who know Fireworks best to the executives who bet on it. - Recognize and grow champions, and give them a stage with DevRel: talks, posts, office hours and early access. - Find advocates through Sales, DevRel and product usage signals, not just the accounts everyone already knows. - Make advocacy worth it: clear asks, and real value back such as early access, product input, visibility and invites. References and peer proof - Build a reference program that gives Sales references it can rely on in complex enterprise deals, matched by industry, company size and use case, with fair rotation so no advocate is over-asked. - Recruit executive advocates (CIOs, CTOs, heads of AI and engineering) who can speak to scale, security, reliability and procurement. - Set up peer-to-peer moments for late-stage deals: executive reference calls, site visits and reference dinners. - Supply customer references for analyst evaluations, and build a steady review motion on G2 and other peer sites. Customer stories - Tell stories in the customer's own voice: technical deep dives with hard numbers (latency, throughput, cost per token) for evaluators, and business outcomes for the executives who sign off. - Build a library organized by industry and use case, and package it for the website, sales decks, account-based campaigns, launches and analyst briefings. Celebrating our customers - Spotlight customers and the people behind their wins across our channels, so their teams get credit for what they've built. - Co-market with customers through joint announcements, co-branded content and webinars that help their business as much as ours. - Nominate customers for awards and speaking slots, and help their leaders build profiles as voices in AI. Advocacy that drives expansion - Support champions inside our accounts with what they need to advocate internally: shareable results, recognition and executive visibility. - Bring customer voices into expansion conversations with Sales and CS, like a peer reference for a new business unit or a story from a similar workload. - Connect customers with each other through roundtables, user groups and customer-led sessions, so teams learn new use cases from peers. - Put customers on stage at our events, partner events and industry conferences, and host executive dinners where customers make the case to prospects. What you bring - 7+ years in B2B marketing, with 4+ years leading customer marketing, advocacy or reference programs at a SaaS, cloud, data or developer-tools company. - You've built an advocacy program from scratch that customers wanted to be part of, not only run one that already existed. - Experience running advocacy and references for large, global enterprise customers, where deals involve long cycles, many stakeholders, security reviews and procurement. - You're credible with senior executives. You can recruit a CIO or CTO as an advocate and keep that relationship strong for years. - You know how to get customer stories approved at large companies, through legal, PR and brand review, without losing what makes them compelling. - Comfort with technical buyers. You can interview an ML engineer about latency and fine-tuning and turn it into a story that's accurate and readable. - A track record of customer proof that helped sales teams win and expand enterprise deals, with the numbers to show it. - Strong partnerships with Sales, Product Marketing, and Customer Success. You know how to earn access to customers and protect those relationships. - Excellent writing and editing, plus the judgment to know when a story needs a video, a benchmark or a 50-word quote. - You're energized by a fast-moving company where priorities shift and you're expected to build a plan that’s as adaptable as it is effective. Nice to have - Experience in AI, ML infrastructure, data platforms or cloud infrastructure. - You've built or run a developer community, champions or MVP-style program. - You've launched and run a Customer Advisory Board with enterprise executives. - Experience supplying customer references for analyst evaluations. - Hands-on with advocacy and reference platforms (for example Influitive, UserEvidence, SlapFive or Champion) and CRM tools like Salesforce or HubSpot. - Video production or podcast experience. - You've hired and managed a small team. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
SDET Contractor
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SDET Contractor We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems. The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient. Responsibilities - Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations. - Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing. - Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria. - Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle. - Integrate automated testing into CI/CD pipelines and establish effective quality gates. - Partner with Software Engineers, Product Managers, and other QE teams to improve testability, observability, and overall product quality. - Analyze defects and production issues to identify root causes, testing gaps, and opportunities for continuous QE improvement. - Establish quality metrics and provide visibility into test coverage, reliability, defects, and release readiness. What You'll Do - Test Agentic AI workflows, including multi-step execution, tool selection and invocation, task completion, and failure handling. - Validate AI-generated responses using appropriate measures for accuracy, relevance, groundedness, consistency, and adherence to expected behavior. - Test AI guardrails, unexpected inputs, and failure scenarios, including incorrect tool usage and prompt-based attacks. - Validate interactions between AI agents, APIs, tools, data sources, and downstream services. - Develop reusable automation, test data, and evaluation scenarios for repeatable AI and services testing. - Validate API contracts, schemas, authentication, business rules, error handling, and service integrations. - Investigate failures across distributed systems and distinguish application, integration, environmental, automation, and AI-related issues. - Participate in defect triage, root-cause analysis, regression testing, and release-readiness activities. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. - 4+ years of experience in Software Development Engineering in Test, Quality Engineering, Software Engineering, or a related discipline. - Strong experience testing REST APIs, backend services, microservices, or distributed systems. - Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language. - Experience with functional, integration, regression, contract, and end-to-end testing. - Experience integrating automated tests into CI/CD pipelines. - Strong analytical, debugging, and root-cause-analysis skills. - Experience working in an Agile development environment and collaborating across engineering teams. Required Skills - Strong understanding of software testing methodologies and Quality Engineering practices. - Strong API and services testing experience, including REST, JSON, schemas, authentication, and error handling. - Experience designing and maintaining automated test frameworks. - Experience with Git and CI/CD development workflows. - Ability to develop risk-based test strategies and identify appropriate testing layers. - Experience testing distributed systems and service-to-service integrations. - Hands-on experience testing Generative AI, LLM-powered applications, or Agentic AI systems. - Understanding of testing non-deterministic AI behavior and evaluating outputs beyond exact-match assertions. Preferred Skills (Good to have) - Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management. - Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection. - Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies. - Experience testing RAG systems or AI agents interacting with APIs, databases, or external tools. - Experience with contract testing tools such as Pact and API specifications such as OpenAPI/Swagger. - Experience with event-driven architectures, Kafka, Docker, Kubernetes, or cloud platforms such as AWS. - Experience with performance, scalability, reliability, or resiliency testing. - Experience establishing QE metrics, quality gates, or cross-team testing standards. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $58 - $72 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Machine Learning Engineering Intern (Masters/PhD)...
Machine Learning Engineers at Riot combine expertise in data processing, automation, machine learning, artificial intelligence, and experimentation to develop data-powered products that improve the player experience, protect competitive integrity, and ensure fair play. As a Machine Learning Engineering Intern, you’ll work with experienced engineers, data scientists, and game or product partners to explore how data and machine learning can support Riot’s games, from shaping engaging player experiences to safeguarding fair and competitive play. You’ll gain exposure to the full ML development cycle, including preparing datasets, engineering features, prototyping models, evaluating results, and communicating findings. You’ll be supported by your team as you learn to build reliable, well-documented solutions. Potential Responsibilities: - Collaborate with machine learning engineers, data scientists, software engineers, and product partners on player- or developer-focused projects. - Prepare, clean, and explore datasets for machine learning and data-powered applications. - Implement feature engineering, modeling, and evaluation approaches under the guidance of experienced team members. - Build prototypes, analyses, visualizations, or internal tools that help teams understand player experiences, product systems, or adversarial behavior. - Apply testing, documentation, and reproducibility practices to code and experiments. - Participate in code reviews, technical discussions, team rituals, and project planning. - Communicate technical findings and tradeoffs to both technical and non-technical collaborators. Required Qualifications: - Graduating in the 2028 calendar year with an MS or PhD. - Currently enrolled in a Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative degree program. - Available to work full-time hours for the 12-week internship duration. - Comfortable programming in Python. - Understanding of machine learning fundamentals, statistics, and data structures and algorithms. - Experience working with data using tools such as Python libraries, SQL, or notebooks. - Minimum GPA of 2.5. Desired Qualifications: - Experience building or evaluating machine learning models through coursework, research, internships, or personal projects. - Familiarity with one or more machine learning frameworks or libraries, such as PyTorch, TensorFlow, scikit-learn, or Spark MLlib. - Familiarity with SQL and relational databases. - Experience with data visualization, experiment design, model evaluation, or statistical analysis. - Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment. - Experience working with cloud platforms, distributed data systems, or model deployment tools. - Portfolio, website, GitHub, research publication, or other collection of original work. - Experience working on a video game or related project, particularly in Unity or Unreal Engine. - An interest in applying machine learning to either enhancing player experiences or to ensuring competitive integrity through cheat detection. Work Authorization - Candidates must be legally authorized to work in the United States for the duration of the program. - This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions. For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you! Applications close January 4th, 2027 Our Perks Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience. Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner’s Code and Community Code. Our culture embraces differences as a strength, and we are committed to promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in gaming. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. (Remote Only) The hourly rate for this internship is USD $80.77
Director, AI Compliance
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Robinhood Markets (“RHM”) Compliance team is Robinhood’s parent company group. As the AI Compliance Lead within RHM Compliance, you’ll play a critical role in supporting Robinhood’s development and implementation of Artificial Intelligence. Working with Legal, Engineering, Privacy, and Security and oversight groups across Robinhood, you’ll ensure that the development and use of AI technologies are transparent, ethical, and compliant with relevant regulations. You’ll do significant work on high-priority, cross-functional projects and lead the compliance efforts to further mature, scale, and operationalize the AI Compliance framework, while also supporting Legal and Compliance in adopting AI for their own work. Given the pace of AI adoption, we need someone who can move quickly, make sound decisions, and enable the business while managing risk! This role is based in our Menlo Park, CA, Washington, DC and New York, NY office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Own and continue to build a cross-Robinhood AI compliance program by developing policies & procedures, oversight & testing, governance, and frameworks, including tools that operationalize AI governance - Work with cross functional partners to maintain and enhance a formal risk assessment and mitigation program for AI use cases and capabilities, including generative AI and agentic AI - Maintain an enterprise inventory of AI use cases, models, and third-party AI tools, with a risk-tiering and intake process that scales the level of review, testing and monitoring to risk - Evaluate and categorize new AI tools and use cases (intended use, data and controls), and develop new models and templates that speed up onboarding and approval - Partner with compliance business units (“BU”), enterprise risk management and BU risk to implement Model Validation for AI programs - Work with Legal, Privacy, Risk, Engineering, Security and BU compliance to ensure processes are in place for AI regulatory compliance - Monitor emerging global AI regulatory frameworks, laws, regulations, policies and trends - Remain up-to-date on standards, technical approaches, and related issues by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations - Provide regulatory and compliance advice on AI-related efforts, including supporting internal audits and regulatory exams and inquiries - Act as the RHM enterprise compliance subject matter expert on AI, facilitating the integration of the AI compliance program and raising awareness around the importance and safe adoption of AI across RH - Support Legal and Compliance teams in identifying, evaluating, and responsibly adopting AI for their own use cases (e.g., regulatory change management, monitoring and surveillance, policy and contract review, and compliance testing), including defining appropriate guardrails, testing and human review - Participate in committee meetings and present to senior leadership and the boards of Robinhood entities on AI usage, risk analysis, and compliance efforts, and produce clear policies and reports that support a reasonable, well-documented approach to AI risk - Develop and deliver practical, example driven training programs for employees on AI ethics, compliance, and responsible AI practices What you bring - Bachelor’s Degree, and equivalent experience, in a related field - 7+ years of progressive professional experience in Compliance, Legal, Model Risk Management, or Regulatory Tech Advisory, with at least 3+ years directly within a regulated financial services institution, fintech, or broker-dealer environment. - Demonstrated experience in AI compliance or AI governance, including assessing use cases, controls, and governance for new AI tools (fintech, technology, or other organizations with AI ethics or compliance functions) - Working knowledge of how financial services regulation (e.g., broker-dealer, banking, consumer protection) applies to technology and data-driven products - Excellent analytical skills and highly organized, resourceful and committed with experience driving focus, clarity and prioritization in a fast-paced environment, with sound judgment and the ability to make timely, risk-based decisions - Pragmatic, solutions-oriented approach to compliance: a track record of enabling the business to move quickly while managing risk, and of knowing when to escalate - Strong interpersonal skills and composure in high-profile settings, with the ability to influence cross-functionally and communicate clearly with non-technical stakeholders and senior leaders - Experience drafting and implementing policies, procedures, standards and guidelines - Strong technical understanding and deep interest in AI capabilities: the technologies (e.g. machine learning, deep learning, neural networks, large language models, and agentic systems) and the emerging field (e.g. GenAI, AI Governance, Explainable AI (XAI)) - Understanding of concepts of equity and fairness, ethics, transparency, interpretability, safety in the context of AI/ML - Familiarity with Model Validation concepts (model mechanics, standards, testing and evaluation, data integrity and continuous monitoring) as it relates to AI - Working knowledge of Responsible AI policy, governance, trends, frameworks, evaluation techniques for machine learning models, and best practices - Experience advising or partnering with Legal and Compliance Teams on technology and AI tools used in their workflows is a plus What we offer - Challenging, high-impact work to grow your career. - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $208,000 - $245,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $184,000 - $216,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $162,000 - $191,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Senior Data Scientist, Marketplace Economics
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. At Roblox, we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Data Science organization sits at the heart of this mission, delivering the strategic and causal insights that power pricing, market health, and creator success across all Economy surfaces. We are looking for a Senior Data Scientist to lead the methodological and strategic foundations for our Creator Economics systems. Roblox operates multiple two-sided marketplaces, from the Avatar Marketplace to in-experience economies. You will build the economic systems and measurement frameworks that inform how value flows through the platform, such as building price optimization systems, designing new rev-share models, and establishing the economics for new UGC category launches. You will serve as a technical leader driving the roadmap for our most critical developer and creator touchpoints. Why Marketplace Economics? - Real-world scale: Power millions of daily economic interactions across a complex, two-sided marketplace where millions of creators meet over 100 million daily active users. - Complex markets, rich signals: Design economic systems and measurement frameworks that account for the nuances of a two-sided marketplace, social network effects, long-term user attachment, and supply response. - Strategic ownership: Lead projects from scratch, translating ambiguous business and policy questions into rigorous quantitative frameworks that directly influence high-stakes company decisions on the economics of our Marketplace. - Impact meets innovation: Partner with Product and Engineering to shape the future of the Roblox economy, building measurement solutions that optimize for long-term ecosystem health and growth. You will: - Design Economic Systems : Drive the structural design of creator and curator incentives, including formulating revenue-share models that foster a thriving, balanced ecosystem. - Master Pricing & Supply Response : Architect models that evaluate price elasticity, marketplace clearing rates, and predict how creators (supply) respond to pricing shifts and new economic policies. - Spearhead UGC Category Launches : Lead the quantitative strategy for introducing new User-Generated Content (UGC) categories, establishing the foundational economics and incentive structures needed to spark market liquidity. - Apply Deep Causal Inference : Build rigorous observational and experimental causal inference solutions to isolate the true impact of market interventions on creator success and platform economics. - Drive Strategy : Partner with product and engineering leaders as a primary scientific advocate, providing unbiased measurement and insights to accelerate innovation and strategic prioritization. You have (at least some of) the following: - 6+ years of industry or research experience in Data Science or Economics, specifically within large-scale UGC content platforms, pricing, marketplace mechanism design, or creator economies. - Deep Methodological Expertise in quantitative methodologies, causal inference (observational and experimental), and modern data stack tools (Python, R, SQL), alongside a deep theoretical understanding of econometrics and mechanism design. - Marketplace Intuition with a proven track record of working with large-scale transactional or platform data to analyze micro-level user behavior and isolate its impact on long-term outcomes and platform health. - Executive Communication & Leadership skills to distill high-dimensional economic problems into succinct, actionable narratives for non-technical executive audiences. - An Advanced Degree (Master’s or PhD) in Economics, Econometrics, Quantitative Finance, Statistics, Operations Research, Physics, Computer Science, or a related quantitative field. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $263,670 - $322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Data Scientist, Economy Recommendations
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. At Roblox, we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Data Science & Engineering organization sits at the heart of this mission, delivering the strategic, causal, and algorithmic insights that power personalization, pricing, and content understanding across all Economy surfaces. We are looking for a Principal Data Scientist to lead the measurement, strategic, and algorithmic foundations for our Economy Recommendation systems. Roblox operates multiple two-sided marketplaces, from the Avatar Marketplace where creators sell expressive items, to in-experience economies driven by developers. You will own the ranking initiatives that power these critical canvases. You will build the economic and social frameworks that decide which experiences and items thrive. You will serve as a technical leader driving the roadmap for our most critical consumer and developer touchpoints. Why Economy Recommendations? - Real-world scale: Power millions of daily economic interactions across a complex, two-sided marketplace where millions of creators meet over 100 million daily active users. - Complex surfaces, rich signals: Design algorithms and measurement frameworks that account for the nuances of a two-sided marketplace, social network effects, long-term user attachment, and supply response. - Strategic ownership: Lead projects from scratch, translating ambiguous business and policy questions into rigorous quantitative frameworks that directly influence high-stakes company decisions. - Impact meets innovation: Partner with ML Engineering and Product to shape the future of the Roblox economy, building measurement solutions that optimize for long-term ecosystem health and growth. You will: - Set the Technical Direction: Lead the development of retrieval and ranking solutions that power the Economy recommendation engine and surfaces. - Measure Long-Term Impact: Build rigorous measurement and causal inference solutions to enable ranking models to optimize for long-term ecosystem health, creator growth, and platform economics rather than just short-term conversion. - Drive Strategy: Partner with product and engineering leaders as a primary scientific advocate, providing unbiased measurement and insights to accelerate innovation and strategic prioritization. - Prototype & Productize: Develop ranking prototypes to demonstrate what is possible, and partner closely with ML Engineering (MLE) to productize these solutions at scale. - Elevate the Team: Mentor and grow other data scientists on the team, create a culture of scientific excellence, and drive alignment on the long-term technical direction of the Economy space. You have (at least some of) the following: - 8+ years of industry or research experience in Data Science, Economics, or ML Engineering, specifically within large-scale recommendation systems, pricing, or UGC content platforms. - Deep Methodological Expertise in quantitative methodologies, causal inference (observational and experimental), and modern data stack tools (Python, R, SQL, Hive, Spark, Airflow), along with a deep theoretical and practical understanding of Deep Learning. - Marketplace Intuition with a proven track record of working with large-scale transactional or platform data to analyze micro-level user behavior and isolate its impact on long-term outcomes and platform health. - Executive Communication & Leadership skills to distill high-dimensional problems into succinct, actionable narratives for non-technical executive audiences. You are a systems thinker and a deep collaborator who can initiate and facilitate challenging technical decisions across multiple teams. - An Advanced Degree (Master’s or PhD) in Economics, Econometrics, Quantitative Finance, Statistics, Operations Research, Physics, Computer Science, or a related quantitative field. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $322,820 - $373,680 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Business Value Strategist
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 At LangChain, Business Value Strategists are trusted thought partners that help our most strategic enterprise customers get the most value out of LangSmith. This is a multi-disciplinary role that sits at the heart of sales, deployed engineering, finance, product and operations. You’ll partner directly with customers to understand their production agent use cases and broader business goals. You’ll work alongside sales & deployed engineering to measure, quantify and articulate the value of customer agents on LangSmith, grounded in usage trends and data. You’ll build financial models that capture the return on investment (ROI) on building agents on LangSmith, and work closely with key customer stakeholders to align on, iterate and track the ROI case over time, to ensure our largest customers are very successful. You’ll also craft the playbook that will serve as the foundation for scaling Business Value practice globally. This is a high-impact role on the agent frontier, working hand-in-hand with the world’s largest enterprises, and helping them define & scale their agent strategy on LangSmith. This role is based in San Francisco or New York. What you'll do - Work closely with customers to understand their production agents, how they use LangSmith, and the business objectives they're solving with agents - Build a deep understanding of how customers are using LangSmith, which products they are using and why, specific agent use cases, product success stories & feedback, to serve as the baseline for the business value case - Use customer data to measure agent-bespoke outcome results such as time saved, lower costs, incremental revenue etc. to quantify the impact of agents built on LangSmith - Communicate the business value case to customer executives, with clear ROI models and defensible assumptions - Partner with account executives to turn ROI findings or gaps into customer success plans to drive adoption - Work with product & operations teams to connect usage data with customer results and impact, and help surface those insights directly into LangSmith What we're looking for - 7+ years in value engineering, consulting, strategic finance, investing, or business operations, with experience at a high-growth B2B company - Experience working directly with enterprise customers and senior decision-makers to influence significant investments - Strong analytical and financial modeling skills - Hands-on experience building and using agents, and the curiosity to keep experimenting - Strategic judgment and creativity: you ask good questions, find opportunities, and make clear recommendations with incomplete information Salary: $210,000-$240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Partnerships & External Affairs Associate, Global...
About the Team OpenAI’s Global Affairs team builds relationships with communities to help ensure that artificial intelligence benefits people broadly. The partnership team works with organizations and leaders across education, workforce development, labor, faith, civil rights, and other communities. We build partnerships that help people use AI in ways that matter to their lives, strengthen the organizations serving their communities, and ensure their experiences and concerns help shape OpenAI’s work. About the Role We’re looking for a resourceful partnerships professional who combines strong external relationship skills with the judgment and organizational ability to move complex initiatives forward. You will manage designated external relationships and lead the day-to-day delivery of partnerships across the team’s portfolios and Working with portfolio leads, you will translate agreed objectives into practical programs, represent OpenAI in partner conversations, coordinate internal contributions, and carry commitments through delivery. You will also step into emerging priorities: helping launch a new collaboration, advancing an existing partnership, preparing a senior leader for an external engagement, or coordinating a project involving several teams. Your portfolio will evolve with team priorities, with clear ownership and agreed outcomes for each assignment. This role requires someone who enjoys building relationships and doing the detailed work that makes those relationships productive. You should be comfortable working independently, learning unfamiliar issues quickly, and knowing when to seek expertise or escalate a decision. In this role, you will: - Own external relationships. Build and manage trusted relationships with nonprofit organizations, civic leaders, community institutions, and other partners across a range of diverse perspectives and communities. - Develop and deliver partnerships. Translate shared interests into practical collaborations with clear objectives, scope, responsibilities, timelines, and measures of success. - Represent OpenAI externally. Lead partner meetings and briefings, participate in convenings, and communicate clearly about AI’s opportunities and safe and responsible use. - Contribute across the team’s priorities. Take ownership of defined projects across different portfolios, support colleagues during major initiatives, and help establish new areas of engagement. - Connect partners with internal expertise. Work with policy, product, safety, legal, communications, and education colleagues to develop substantive engagements and secure the contributions needed for delivery. - Turn stakeholder insight into action. Identify concerns and opportunities, synthesize what we hear, bring relevant feedback to internal owners, and close the loop with partners. - Deliver funded partnership programs. Translate agreed commitments into feasible workplans with clear owners, milestones, and outcomes. Work directly with partners and portfolio leads to resolve program questions, coordinate implementation, and assess results, including recommendations for improvement or renewal. - Coordinate partnership implementation across teams. Bring together relationship owners and colleagues in policy, legal, finance, procurement, product, and communications to move agreements, funding processes, and program launches forward; track dependencies, resolve or escalate blockers, and keep partners and internal teams informed of progress. - Maintain reliable follow-through. Manage workplans, partner commitments, budgets, and approval processes for your projects; surface dependencies and risks early and recommend solutions. - Exercise sound prioritization. Assess incoming opportunities against team goals, recommend where to invest time and resources, and adjust plans as circumstances change. You might thrive in this role if you: - Bring 6+ years of relevant experience in partnerships, external affairs, public policy, campaigns, government, nonprofits, or community engagement, or equivalent experience demonstrating these capabilities. - Have independently managed external relationships and delivered complex partnership programs, including scoping commitments, coordinating multiple teams, managing budgets, and evaluating outcomes. - Combine political and stakeholder judgment with strong execution skills, including navigating disagreement and sensitive issues. - Can build credibility with people whose experiences and views differ from your own. - Write clearly, communicate confidently, and translate complex topics for nontechnical audiences. - Are organized and responsive, can manage several projects at once, and take responsibility for completing commitments. - Work effectively across teams without formal authority and make thoughtful decisions about when to act independently and when to seek alignment. - Enjoy a varied portfolio and can move between relationship development, strategic thinking, and hands-on delivery. - Are curious about AI and its implications for communities, public institutions, and economic opportunity. 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.
Tissue Culture Core Returnship
Your work will change lives. Including your own. We are building a future where biology is solvable. The path to new medicines is currently slow and expensive, with high failure rates, leaving millions of patients waiting for new treatment options. Our story is one of innovation: applying AI, vast datasets, and industrial scale to decode biology and accelerate the development of life-changing treatments. Recursion’s Returnship Program Recursion’s Returnship program, sponsored by the Women at Recursion Employee Resource Group, helps professionals who have taken a break of two or more years from the STEM industry return to the workforce. Participants work in a supportive, learning-focused environment with guidance from their teams and mentors. Our program benefits both sides. You’ll own projects that directly advance our mission to radically decode biology and serve patients, and you’ll build experience with new, cutting-edge tools and technology. In turn, Recursion gains access to an underutilized pool of talent in Utah and benefits from the skills and experience you’ve built through your work and life. What you’ll get - A dedicated mentor who meets with you weekly - Weekly seminars on workplace culture, communication, and technology - Support from your team as you re-enter the workforce Our program runs for sixteen weeks, from March 2027 through the end of June 2027. Depending on performance and business needs, it may lead to full-time employment. This position is primarily based at our Salt Lake City, UT headquarters, with some hybrid flexibility. Tissue Culture Core Returnship As the engine for Recursion's biological discovery, the Tissue Culture Core provides and maintains the high-quality cellular models that power our platform. Our diverse and collaborative team combines deep scientific expertise with industrial automation and cutting-edge technology to manage the complete cell culture lifecycle—from sourcing and expansion to rigorous quality control. Our mission is to fuel the search for novel biology and help fulfill Recursion's ultimate goal: getting better drugs to patients, faster. As a key member of the Tissue Culture Core, you will: - Drive Large-Scale Cell Production: Manage the end-to-end lifecycle of diverse cellular models, from thaw to cryopreservation. You will execute large-scale expansions using advanced technologies like bioreactors and multi-layer vessels to ensure a consistent, high-quality supply for the Recursion platform. - Uphold Quality and Process Excellence: Focus on the quality and robustness of all cellular products. You will help characterize our models, optimize culture protocols, and meticulously document process data to track key metrics and drive continuous improvement in our methodologies. - Develop Process Improvements and Implement New Technologies: While learning and executing on critical productions, you will be able to propose and implement new methodologies and technologies to drive process development and automation - Enable a Data-Driven Platform: Be responsible for the critical delivery of both high-quality cellular materials and the precise, well-documented data that accompanies them. Your work will directly fuel the high-throughput operations of the Recursion OS and contribute to our core mission. The Recursion Community Cutting-edge tools matter, but our people are what set us apart. Our structure and culture are built to help you do your best work, not to feed politics or ego. We live by values that give us a real competitive advantage. They help us work better and faster without relying on burnout, and they encourage us to make leaps where others take steps. People in every role and at every level make the bold bets that move us forward. The Returnship gives you a front-row seat to this culture. From your first week, you’ll work alongside teams who value collaboration over ego, with a mentor in your corner and real ownership of projects that matter. You won’t be on the sidelines while you ramp up. The Experience You’ll Need - 3+ years of work experience in a research laboratory, preferably with mammalian cell culture - Bachelor’s Degree or higher in Biology, Biochemistry, Bioengineering, or related major. - 2+ years break from employment - Strong curiosity and a desire to learn, with excellent written and verbal communication skills. - Attentiveness to detail and the ability to accurately and honestly record experimental details, cell expansion details, and results. - Enjoy working both collaboratively and independently with a team in a laboratory setting - Thrive in environments where you’ll leverage creativity and independent thinking The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Research Associate, Neuroscience Returnship
Your work will change lives. Including your own. We are building a future where biology is solvable. The path to new medicines is currently slow and expensive, with high failure rates, leaving millions of patients waiting for new treatment options. Our story is one of innovation: applying AI, vast datasets, and industrial scale to decode biology and accelerate the development of life-changing treatments. Recursion’s Returnship Program Recursion’s Returnship program, sponsored by the Women at Recursion Employee Resource Group, helps professionals who have taken a break of two or more years from the STEM industry return to the workforce. Participants work in a supportive, learning-focused environment with guidance from their teams and mentors. Our program benefits both sides. You’ll own projects that directly advance our mission to radically decode biology and serve patients, and you’ll build experience with new, cutting-edge tools and technology. In turn, Recursion gains access to an underutilized pool of talent in Utah and benefits from the skills and experience you’ve built through your work and life. What you’ll get - A dedicated mentor who meets with you weekly - Weekly seminars on workplace culture, communication, and technology - Support from your team as you re-enter the workforce Our program runs for sixteen weeks, from March 2027 through the end of June 2027. Depending on performance and business needs, it may lead to full-time employment. This position is primarily based at our Salt Lake City, UT headquarters, with some hybrid flexibility. Neuroscience Returnship The Neuroscience (Neuro) team is a diverse, collaborative group working on complex human cell models for drug discovery. This team works on iPSC differentiation techniques, process development for scaled cell production, assay development for cell characterization, and gene editing techniques to deliver data packages that drive decisions about cellular models and compound selection. With a mission of bringing transformative medicines to patients, this high-performing team works together to continually improve our workflows. The Neuro Returner will work alongside, and in support of, R&D scientists. This role will be trained and mentored by a scientist and will interact with other team members outside of Neuro daily, as needed, during the returnship period. You will own a laboratory project focused on developing and validating cell-based assays, performing hands-on cell culture work, and maintaining data and documentation in the team’s systems. - Perform tissue culture activities such as cell thawing, passing, and banking of cell models, including iPSCs and/or iPSC-derived cell types - Develop, optimize, and validate cell-based assays using automated imaging and analysis pipelines - Establish and optimize experimental conditions for cell models - Document project activities using an electronic laboratory notebook (ELN) and interact with a laboratory information system (LIMS) for reagent tracking, SOPs, and QC - Write assay SOPs and support inventory and QC tracking workflows - Deliver data with assays such as immunofluorescence, qPCR, ELISA, etc. The Recursion Community Cutting-edge tools matter, but our people are what set us apart. Our structure and culture are built to help you do your best work, not to feed politics or ego. We live by values that give us a real competitive advantage. They help us work better and faster without relying on burnout, and they encourage us to make leaps where others take steps. People in every role and at every level make the bold bets that move us forward. The Returnship gives you a front-row seat to this culture. From your first week, you’ll work alongside teams who value collaboration over ego, with a mentor in your corner and real ownership of projects that matter. You won’t be on the sidelines while you ramp up. The Experience You’ll Need - 3+ years of work experience in a research laboratory, preferably with mammalian cell culture AND a Bachelor’s Degree or higher in Neuroscience, Biology, Biochemistry, Bioengineering, or related major. - 2+ years break from employment - Strong desire to learn with excellent written and verbal communication skills - Strong attention to detail and the ability to accurately record experimental details and results - Enjoy working both independently and collaboratively with a team in a laboratory setting - Thrive in fast-paced environments where you’ll leverage creativity and independent thinking The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Research Associate, MOAD Returnship
Your work will change lives. Including your own. We are building a future where biology is solvable. The path to new medicines is currently slow and expensive, with high failure rates, leaving millions of patients waiting for new treatment options. Our story is one of innovation: applying AI, vast datasets, and industrial scale to decode biology and accelerate the development of life-changing treatments. Recursion’s Returnship Program Recursion’s Returnship program, sponsored by the Women at Recursion Employee Resource Group, helps professionals who have taken a break of two or more years from the STEM industry return to the workforce. Participants work in a supportive, learning-focused environment with guidance from their teams and mentors. Our program benefits both sides. You’ll own projects that directly advance our mission to radically decode biology and serve patients, and you’ll build experience with new, cutting-edge tools and technology. In turn, Recursion gains access to an underutilized pool of talent in Utah and benefits from the skills and experience you’ve built through your work and life. What you’ll get - A dedicated mentor who meets with you weekly - Weekly seminars on workplace culture, communication, and technology - Support from your team as you re-enter the workforce Our program runs for sixteen weeks, from March 2027 through the end of June 2027. Depending on performance and business needs, it may lead to full-time employment. This position is primarily based at our Salt Lake City, UT headquarters, with some hybrid flexibility. Research Associate Returnship The Multi-Omics Assay Development (MOAD) team is excited to welcome a Research Associate with a passion for laboratory-based assay development, critical thinking, and collaboration as part of the Recursion Returnship program. The MOAD team develops biologically relevant cellular based assays for screening on Recursion’s state of the art high throughput screening (HTS) platform to decode biology and improve patient lives. As a Research Associate on the MOAD team, you will work under the direction of a Senior Scientist and collaborate with cross-functional teams across a variety of areas including MOAD, biology, engineering, data science, HTS, and tissue culture to develop, scale, optimize, and execute biological assays. The MOAD team is seeking an individual with a growth mindset who is a proactive communicator and takes initiative while collaborating with cross-functional teams. Flexibility, attention to detail, and strong time management skills are essential to succeed in this role. Working as a member of the MOAD team, you will: - Design and execute cellular based assays: This includes experiment design, project planning, preparing reagents, thawing and culturing cells, performing lipofection, compound addition, and media changes. - Develop, optimize, and scale assays: This includes identifying the optimal assay conditions, troubleshooting experiments, and working with cross functional teams to drive projects forward. - Utilize automation to perform experiments: This includes working with acoustic liquid handlers, microplate liquid handlers, and robotics systems. - Document activities: This includes maintaining detailed and accurate electronic laboratory notebooks (ELN), standard operating procedures (SOPs), and project records. - Analyze and present data: This includes analyzing a variety of datasets and presenting to peers to drive projects forward in a data driven manner. The Recursion Community Cutting-edge tools matter, but our people are what set us apart. Our structure and culture are built to help you do your best work, not to feed politics or ego. We live by values that give us a real competitive advantage. They help us work better and faster without relying on burnout, and they encourage us to make leaps where others take steps. People in every role and at every level make the bold bets that move us forward. The Returnship gives you a front-row seat to this culture. From your first week, you’ll work alongside teams who value collaboration over ego, with a mentor in your corner and real ownership of projects that matter. You won’t be on the sidelines while you ramp up. The Experience You’ll Need - 3+ years of work experience in a research laboratory, preferably with mammalian cell culture and aseptic technique experience. - Bachelor’s Degree or higher in Biology, Biochemistry, Bioengineering, or a related field and understanding of molecular biology techniques. - 2+ years break from employment - Thrive in a team environment while being able to work independently - Have strong and proactive communication skills The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Senior HR Business Partner, India
About the Team The HR Business Partner team at OpenAI supports managers and employees as teams grow, perform and adapt. We work alongside managers at all levels to resolve day-to-day people challenges, build management capability and create the conditions for teams to do their best work. Our expertise spans team effectiveness, talent development, manager coaching, employee relations and change management, grounded in our Contributions & Impact (C&I) culture. We operate with urgency, empathy and sound judgment, valuing sincerity, collaboration and meaningful impact. About the Role We’re looking for a Senior HR Business Partner. This role will primarily support teams in India, with a focus on Go-to-Market and selected other functions. The portfolio may also include support for teams in other APAC markets as business needs evolve. You’ll provide hands-on support to managers at all levels, owning day-to-day people work and helping teams grow and scale effectively. Your GTM partnership will span teams such as Sales, Technical Success, Partnerships and Marketing. Across your portfolio, you’ll build a deep understanding of business priorities and use that context to prioritise and deliver practical people support. As a hands-on partner to managers at all levels, you will use independent judgment to coach managers, resolve people issues and follow through on day-to-day work as teams scale. You will own delivery across your portfolio, working closely with the International HRBP Leader, Recruiting, Finance, Employment Legal and People centres of expertise, and involving specialist partners when needed. This is an individual contributor role, based in Mumbai or Bangalore. We operate in a hybrid work model: three days in the office per week. Your Key Responsibilities - Own day-to-day people support across your portfolio, with a primary focus on GTM. Be a practical point of contact for managers on performance, employee relations, team changes and development. Prioritise issues, agree clear next steps and see them through to resolution as teams scale. - Support teams as they grow. Help managers put agreed team structures and workforce plans into practice, clarify roles and address capacity needs as teams across your portfolio grow and scale existing operations. Coordinate with Finance and Recruiting to support hiring and team changes. - Build manager effectiveness. Coach managers at all levels, from first-time managers to experienced people managers, on feedback, difficult conversations, team dynamics and accountability. Help them address everyday people challenges with clarity and care. - Build capability and succession. Help managers identify skills and development needs across GTM teams. Partner on talent reviews, succession planning, internal mobility and development, with particular attention to roles essential to customer and business outcomes. - Drive performance and rewards decisions. Help managers set clear expectations, address underperformance and recognise contributions consistently. Partner with Compensation and Sales Compensation specialists on people implications of incentive structures, role changes and rewards decisions. - Lead through organisational change. Guide organisational changes and sensitive employee matters across your portfolio, partnering with Employment Legal and Employee Relations specialists. Balance business urgency, local requirements and fair, consistent treatment. - Use insight to act early. Combine workforce data, business context and employee feedback to identify emerging risks, test assumptions and recommend action. Track whether interventions improve capability, retention and team effectiveness. - Scale effective People practices. Partner with global HRBPs and centres of expertise to evolve performance, engagement and talent programmes across your portfolio, ensuring local needs inform global decisions and local delivery remains practical. What You Bring - Substantial HRBP experience. Typically 7–10+ years in HR, including at least five years supporting managers and teams in high-growth, international or complex organisations. We value the scope and impact of your experience. - Commercial understanding. Experience supporting Sales and other go-to-market functions, with an understanding of enterprise sales cycles, customer-facing roles and the people implications of commercial operating models. - Hands-on manager partnership. A record of supporting managers at all levels, resolving day-to-day people issues and owning delivery across a busy portfolio. You can exercise independent judgment, challenge constructively and build trusted relationships. - India experience. Experience supporting teams in India, navigating local business and employment environments, with sound judgment about when to involve specialist partners. - Organisational and talent judgment. Practical experience supporting team growth, workforce planning, manager coaching, performance management and talent development, including delivering change through ambiguity. - Analytical and execution strength. The ability to diagnose problems using data and context, make clear recommendations and follow through. You prioritise effectively, take ownership of complex people issues and stay close to the details through resolution. - Integrity and care. Discretion with sensitive matters, fairness in decision-making and a willingness to listen, adapt and act with conviction. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Associate, Global Lab Services Returnship
Your work will change lives. Including your own. We are building a future where biology is solvable. The path to new medicines is currently slow and expensive, with high failure rates, leaving millions of patients waiting for new treatment options. Our story is one of innovation: applying AI, vast datasets, and industrial scale to decode biology and accelerate the development of life-changing treatments. Recursion’s Returnship Program Recursion’s Returnship program, sponsored by the Women at Recursion Employee Resource Group, helps professionals who have taken a break of two or more years from the STEM industry return to the workforce. Participants work in a supportive, learning-focused environment with guidance from their teams and mentors. Our program benefits both sides. You’ll own projects that directly advance our mission to radically decode biology and serve patients, and you’ll build experience with new, cutting-edge tools and technology. In turn, Recursion gains access to an underutilized pool of talent in Utah and benefits from the skills and experience you’ve built through your work and life. What you’ll get - A dedicated mentor who meets with you weekly - Weekly seminars on workplace culture, communication, and technology - Support from your team as you re-enter the workforce Our program runs for sixteen weeks, from March 2027 through the end of June 2027. Depending on performance and business needs, it may lead to full-time employment. This position is primarily based at our Salt Lake City, UT headquarters, with some hybrid flexibility. Research Associate Returnship The Global Lab Services team keeps Recursion’s laboratories safe, compliant, and running smoothly. Our team covers equipment, facilities, environmental health and safety (EHS), and lab operations, and we work closely with scientific teams across the company, including biologists, chemists, automation and software engineers, assay operations, and data scientists. When an operational problem slows down the science, we find out why and build a lasting fix. As a Research Associate, you will collaborate closely with the Global Lab Services team and the scientific teams it supports to design and develop programs for lab operations, from understanding the problem through building the structure that keeps a program running day to day. We are seeking an individual who is curious about how labs run, enjoys digging into operational hurdles to find their root cause, and is comfortable planning, organizing, and working across teams to arrive at practical solutions. Experience building SOPs, software tools, or AI interfaces is a plus. A strong desire to learn new skills, tools, and approaches is essential to thrive in our fast-paced environment. Working alongside Recursion’s Global Lab Services team, you will work on projects such as: - Develop environmental monitoring and tracking programs : Build a process to respond to, document, and track environmental baseline conditions and contamination events across our labs, including root-cause investigation and trend reporting. - Write EHS technical documents , including SOPs, safety guidance, and training materials that help teams work safely and stay compliant. - Design lab operations : Map current workflows, identify operational hurdles, and build programs with clear roles, processes, and measures of success. - Build program structure with SOPs, tracking tools, and software systems that make programs easy to adopt and sustain. - Explore AI tools and interfaces that help scientists and lab staff find information, report issues, or follow procedures (a plus, not a requirement). - Partner cross-functionally with equipment, facilities, EHS, and scientific teams to gather requirements, test solutions, and roll out new programs. - Learn about lab operations, including equipment management, facilities, safety compliance, and how each one supports high-throughput science. - The Recursion Community Cutting-edge tools matter, but our people are what set us apart. Our structure and culture are built to help you do your best work, not to feed politics or ego. We live by values that give us a real competitive advantage. They help us work better and faster without relying on burnout, and they encourage us to make leaps where others take steps. People in every role and at every level make the bold bets that move us forward. The Returnship gives you a front-row seat to this culture. From your first week, you’ll work alongside teams who value collaboration over ego, with a mentor in your corner and real ownership of projects that matter. You won’t be on the sidelines while you ramp up. The Experience You’ll Need - 3+ years of working experience in a research laboratory, lab operations, EHS, or a related scientific setting. - Bachelor’s Degree or higher in a scientific, engineering, or related field. - 2+ years break from employment - A strong desire to learn with excellent written and verbal communication skills. - Attentive to detail, with the ability to write clear, accurate procedures and documentation. - Enjoy working both independently and collaboratively with cross-functional teams. - Experience with SOP development, process improvement, project coordination, or Jira software and AI tools is a plus. The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
GxP Quality Associate Returnship
Your work will change lives. Including your own. We are building a future where biology is solvable. The path to new medicines is currently slow and expensive, with high failure rates, leaving millions of patients waiting for new treatment options. Our story is one of innovation: applying AI, vast datasets, and industrial scale to decode biology and accelerate the development of life-changing treatments. Recursion’s Returnship Program Recursion’s Returnship program, sponsored by the Women at Recursion Employee Resource Group, helps professionals who have taken a break of two or more years from the STEM industry return to the workforce. Participants work in a supportive, learning-focused environment with guidance from their teams and mentors. Our program benefits both sides. You’ll own projects that directly advance our mission to radically decode biology and serve patients, and you’ll build experience with new, cutting-edge tools and technology. In turn, Recursion gains access to an underutilized pool of talent in Utah and benefits from the skills and experience you’ve built through your work and life. What you’ll get - A dedicated mentor who meets with you weekly - Weekly seminars on workplace culture, communication, and technology - Support from your team as you re-enter the workforce Our program runs for sixteen weeks, from March 2027 through the end of June 2027. Depending on performance and business needs, it may lead to full-time employment. This position is primarily based at our Salt Lake City, UT headquarters, with some hybrid flexibility. GxP Quality Associate Returnship Are you a quality professional with GxP experience looking to re-enter the workforce after a career break? The Quality team is excited to announce our GxP Quality Associate Returnship. This opportunity is for someone who cares about getting the details right and wants to help make sure the data and documents behind our programs are accurate, complete and inspection-ready. The Quality team partners with teams across Recursion to support compliance in GxP-regulated work. As Recursion brings GxP data and documents together across new platforms and systems, Quality makes sure that work meets GxP standards from start to finish. As a GxP Quality Associate, you will report directly to the Quality team's hiring manager and be paired with a dedicated mentor. You'll work closely with the Quality team and cross-functional partners. We are looking for someone who is detail-oriented and organized, communicates clearly, and wants to learn new tools and systems in a fast-paced environment. Working alongside Recursion's Quality team, you will work on projects to: - QC GxP documents and records for completeness, accuracy and compliance with Good Documentation Practices and data integrity principles (ALCOA+). - Support GxP data migrations by loading data and verifying that migrated data and documents are complete, accurate and traceable. - Standardize procedures by converting existing documents into a standard template for use in our electronic Quality Management System (eQMS). - Help teams connect data and documents across systems so records are organized, findable and inspection-ready. - Partner with teams across Recursion to answer documentation questions and support consistent quality practices. - Learn our eQMS and GxP systems and the processes that keep them compliant. The Recursion Community Cutting-edge tools matter, but our people are what set us apart. Our structure and culture are built to help you do your best work, not to feed politics or ego. We live by values that give us a real competitive advantage. They help us work better and faster without relying on burnout, and they encourage us to make leaps where others take steps. People in every role and at every level make the bold bets that move us forward. The Returnship gives you a front-row seat to this culture. From your first week, you’ll work alongside teams who value collaboration over ego, with a mentor in your corner and real ownership of projects that matter. You won’t be on the sidelines while you ramp up. The Experience You’ll Need - 5–10 years of experience working in a GxP-regulated environment, preferably GCP. GMP, GLP and CSV/CSA experience are also valued. - Bachelor's degree in a scientific or technical field, or equivalent job experience and relevant certifications or training. - Familiarity with GxP data and document standards, such as Good Documentation Practices and ALCOA+. Experience with 21 CFR Part 11 is preferred but not required. - Must have taken a 2+ year break from full-time, industry-relevant employment just prior to the program start. - Must be a Utah resident. - A strong desire to learn, with excellent written and verbal communication skills. - Strong attention to detail and the ability to accurately review and record information. - Enjoys working both independently and collaboratively with cross-functional teams. The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Product Manager, Legal
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. The Role Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. What You’ll Do - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. Qualifications - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. Nice to Have - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.
Data Center Operations Technician
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the job The third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations. SambaNova ™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond. Working at SambaNova SambaNova Systems is seeking an entry-level Data Center Operations Technician to apply their technical skills in a fast-paced and complex environment. In this role, you should come with some knowledge of computer hardware and the desire to participate in projects at a large-scale data center. This is a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations. This job opens pathways for high growth but requires a learning mindset. You will be here to support the core of our physical computational and cloud resources. Primary Responsibilities: - Unpack servers and parts, rack and stack equipment - Install and/or replace system components - Read elevation plans and implement assembly and installations accordingly and exactly - Pay attention to neatness and organization in all aspects of the job (racks, cables, etc.) - Install and maintain various networking technologies and fabrics - Troubleshoot and work with subject matter experts to resolve problems - Package servers for shipment, daily housekeeping of packaging materials - Coordinate with logistics team for shipping and receiving assembled servers - Complete assigned tickets to uphold tight SLA’s and respond to requests in a timely manner - Assist with projects (new capacity as well as retrofits) and repairs throughout the data center - Demonstrate personal leadership, identifying and helping to create documentation for the data center knowledge base - Assist with process improvements and best practices in data center operations and expansions - Participate in on-call rotation as needed in Santa Clara, CA or additional off-site locations - Other data center operations technician role assignments as required Secondary Responsibilities: - Maintain inventory of parts and systems - Work within SambaNova’s system to build and maintain data center capacity - Perform system testing using provided routines and instructions Qualifications and Skills: - 0-1+ years experience - High School Diploma; Associates Degree preferred - Able to perform all essential job functions, including walking, standing, bending, stooping, climbing, lifting and manual dexterity, with or without reasonable accommodation - Able to lift equipment and items up to 50 pounds - Able to operate lifting equipment for heavier items following training on the equipment - Able to work days/nights/weekends/holidays, if needed and/or required - This role will be required to be on-site at our data center locations in and around Santa Clara, CA. This role may require travel to additional data center site expansions. - Strong communication and organizational skills as well as a high attention to detail. - Ability to work in a fast-paced environment where adaptability and flexibility will be key to your success. - Ability to work independently and also within groups Preferred Qualifications and Skills: - Have working knowledge and experience in areas like Networking, Programming/Scripting, Hardware and OS repair. - Ability to understand and perform initial analysis to debug hardware, and Linux OS related issues Job Type: Contract Duration: 6 months Schedule: Multiple shifts available, with occasional nights and/or weekends as needed for high priority data center maintenance work For Example : flex hours. Potential hours could be: Shift 1 : 9am - 5:30pm Shift 2 : 2:30 - 11pm Part time : 5pm-10pm. Weekend : 9-5:30pm Work setting: In-person, in-office (Santa Clara, CA) Base Salary Range: Base Pay Range $50,000 - $60,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Partner Account Manager, Systems Integrators
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 Partner Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Partner Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Key responsibilities Strategic Partner Management - Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets - Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes - Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs - Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events - Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development & Revenue Generation - Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue - Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) - Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning - Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy - Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers Enablement & Solution Development - Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment - Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements - Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap - Develop and maintain Japanese-language sales tools, technical documentation, and partner portals - Facilitate knowledge transfer between Anthropic and Japanese partner technical teams Go-to-Market Leadership - Design and execute joint marketing campaigns - Develop customer success stories and case studies that resonate with Japanese enterprise buyers - Partner with internal teams to localize global GTM strategies for the Japanese market - Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) - Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal - Foster alignment across departments to ensure successful partner execution and performance Minimum qualifications - Experience in channel management, strategic alliances, or business development within the Japanese technology market - Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar - Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette - Native or business-level Japanese and English language skills - Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements - Demonstrated ability to navigate complex partner ecosystems and manage channel conflict Preferred qualifications - 7+ years of relevant experience - Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market - Exceptional relationship-building skills with ability to establish trust and credibility with executives - Strong analytical skills with experience in business planning, forecasting, and performance measurement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
International Infrastructure 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 International Infrastructure Accounting professional to join our Infrastructure Accounting team. Based in Dublin and reporting to the Head of International Infrastructure Accounting, you will execute day-to-day accounting for the leased and owned infrastructure supporting Anthropic's expansion outside the United States, i.e. the data centers, network infrastructure, and compute capacity underpinning our international growth. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing international infrastructure portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's international infrastructure portfolio, with an initial focus on leases, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 for the US GAAP books, and carry those same arrangements through to the IFRS 16 or local GAAP books. You will partner closely with our central team to ensure global policies, processes, and controls are applied consistently as each new market comes online. Responsibilities: - Lead end-to-end accounting for Anthropic's international infrastructure portfolio — leased and owned, with an initial focus on leases — including monthly close, reconciliations, roll-forwards, and flux analysis - Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and ASC 360 (capitalization, useful lives, impairment, and disposals) - Prepare the US GAAP to IFRS 16 and local GAAP adjustments for each international entity, and partner with our International Statutory Reporting team and external providers so the statutory accounts are accurate and filed on time - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Apply global infrastructure accounting policies, processes, and controls consistently as each new market comes online - Help stand up the accounting foundations for each new market, i.e. entity and chart of accounts mapping, functional currency, intercompany flows, and lease system onboarding - Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates - Collaborate with and mentor accounting professionals across the Infrastructure Accounting team - Serve as a key point of contact with external auditors and local statutory auditors on international infrastructure matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum Requirements: - Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies - Are a qualified accountant (ACA, ACCA, CPA, or equivalent) with a bachelor's degree in Accounting, Finance, or equivalent practical experience - Possess strong technical accounting knowledge of ASC 842 and ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements - Have worked across both US GAAP and IFRS, and are comfortable owning the differences rather than handing them off - Have experience managing a significant lease or fixed asset portfolio in a high-growth environment - Demonstrate strong analytical abilities and comfort working with large, complex datasets - Have a track record of improving scalable financial processes in fast-moving environments - Have experience mentoring and developing accounting professionals - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners and time zones - Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred Requirements: - Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts) - Experience with lease accounting software and / or fixed asset subledger systems at scale - Experience with statutory reporting across multiple jurisdictions, including working with external providers and local audits - Experience supporting a US-headquartered multinational from a regional or European finance hub - SQL proficiency for querying and analyzing large infrastructure and accounting datasets - Background in Big 4 accounting or advisory services combined with industry experience - Experience with complex data center buildouts or hybrid cloud / on-premise environments - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €140.000 - €170.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Google Cloud GTM Partnerships Lead, EMEA
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 Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: - Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans - Develop forecasting models, build pipeline, and set revenue targets for the partnership - Build and maintain cross-functional relationships across GCP - Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements - Create and implement scalable processes for partnership operations, including escalation management and reporting - Provide strategic market intelligence and competitive insights to inform product and business strategy - Design and execute sales plays and enablement programs - Participate in monthly business reviews with key stakeholders - Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: - 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies - Deep understanding of enterprise cloud services and AI/ML market dynamics - Exceptional communication and relationship-building skills with both technical and business stakeholders - Proven ability to develop and execute successful co-selling strategies at scale - Excellence in strategy, business operations, and program management - Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution - Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: - Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company - Familiarity with large language models and their applications in generative AI - Previous experience working with cloud and large technology partnerships - Technical background in computer science, software engineering, data science, or related field - MBA or advanced degree in relevant discipline 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: £215,000 - £250,000 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 experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Applied AI Architects (Australia)
About the team The Applied AI Architect team partners with organisations to turn OpenAI’s most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the role As the Manager of Applied AI Architects, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for a portfolio of OpenAI customers across Australia and New Zealand. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will prioritise customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team’s technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching. This role is based in Sydney , Australia. In this role, you will - Hire, coach, and develop a high-performing team of Applied AI Architects, building experienced architects’ autonomy, leadership, and architectural judgement while maintaining high standards of accountability, continuous learning, and customer stewardship. - Independently define and refine your team’s strategy, priorities, and operating model, aligning company priorities, customer needs, and the ANZ go-to-market while balancing near-term execution with long-term team capability. - Partner with Sales leadership and Account Directors to prioritise accounts and opportunities, make complex resource-allocation decisions, and establish clear technical strategies for your team’s portfolio. - Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities. - Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production. - Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment. - Build trusted relationships with C-suite and board-level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed. - Mobilise Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience. - Remain accountable for the team’s technical progress and customer outcomes, while agreeing clear owners, milestones and handoffs with Deployment, Implementation and Enablement teams for the work they execute. - Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth. - Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go-to-market teams, while developing reusable architecture guidance and customer practices. - Build a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritisation, and effective specialist handoffs. You might thrive in this role if you - Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment. - Bring 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises. - Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams. - Have guided enterprise organisations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact. - Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands-on engineers. - Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements. - Exercise strong architectural judgement, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership. - Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems. - Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership. - Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI. 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.
Partner Applied AI Engineer, Google Cloud
About the team The Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner Applied AI Engineer focused on Google Cloud, you will help customers build with OpenAI in the cloud environment they already use. You will work with Google Cloud and its partner ecosystem to turn early implementations into repeatable approaches that field teams can deliver independently. About the role We are looking for an experienced technical leader to serve as a primary technical counterpart to Google Cloud Customer Engineers, AI specialists, and partner technical teams. You will shape joint technical strategy, define engagement models, and build systems that scale beyond individual deals. Working across pre- and post-sales, you will guide enterprise customers from discovery through production while enabling Google Cloud and its partners to lead subsequent deployments. This role combines hands-on engineering, technical judgment, and ecosystem leadership. You will bring deep familiarity with Gemini Enterprise Agent Platform (formerly Vertex AI), particularly Model Garden and its Python SDK tooling, and help customers choose supported OpenAI integration paths based on workload requirements, model capabilities, security controls, and operational needs. In this role, you will: Strategic Google Cloud engagement and influence - Build trusted relationships with Google Cloud field leadership, Customer Engineers, AI specialists, and partner teams across regions. - Influence joint account strategy and identify new opportunities where OpenAI can improve customer outcomes within Google Cloud environments. - Define engagement models and prioritization frameworks that concentrate technical effort on high-impact opportunities and reusable solutions. - Help teams distinguish model access through Model Garden, purchasing through Google Cloud Marketplace, and direct OpenAI offerings. Complex deal leadership and execution - Lead technical strategy for complex enterprise engagements, from use-case discovery and architecture design to prototyping, evaluation, and production deployment. - Resolve integration and operational blockers with OpenAI and Google Cloud counterparts, giving account teams clear decisions and next steps. - Validate model and feature availability, regional requirements, access controls, data handling, quotas, and support boundaries for each workload. - Prioritize opportunities and allocate technical resources according to customer impact and the potential to scale through the ecosystem. Solution architecture and hands-on building - Design and build OpenAI-powered applications that integrate with Google Cloud services, including Cloud Run or Google Kubernetes Engine, Cloud Storage, and BigQuery where appropriate. - Develop reference implementations for supported Model Garden access to OpenAI through the Responses API, alongside direct OpenAI integration patterns where those better meet customer requirements. - Use the Vertex AI SDK for Python / Agent Platform SDK to discover deployable Model Garden models, inspect deployment configurations, and deploy supported open models to endpoints. Validate project, region, machine and accelerator choices, credentials, permissions, and test inference; distinguish this workflow from managed model API access. - Maintain supported SDK dependencies and adapt examples as Google updates its SDKs. Use Google Gen AI SDK for Google generative-AI capabilities migrated out of legacy Vertex AI modules, and the documented OpenAI API or SDK for OpenAI integration paths. - Build retrieval-augmented generation and tool-using workflows, connecting approved enterprise data and services with clear authorization boundaries. - Establish evaluation, observability, CI/CD, and operational practices that address output quality, safety, reliability, latency, and cost. - Make identity, networking, secrets management, and data governance explicit in architectures rather than assuming controls transfer between services or providers. Ecosystem enablement and scale - Create workshops, demos, playbooks, and reference architectures that Google Cloud teams and systems integrators can use independently. - Teach partner engineers how to evaluate model choices in Model Garden and select deployment approaches based on customer needs. - Pair with field teams on early deployments, then transfer delivery ownership as patterns mature. - Scale through global and regional systems integrators and independent software vendors, maintaining reusable assets as integrations evolve. Cross-functional leadership and feedback - Work with Alliances, Product, Engineering, GTM, and Enablement to align technical priorities and execution. - Turn recurring customer and partner issues into evidence-backed product feedback and specific requests. - Maintain clear guidance on validated capabilities, preview limitations, and unresolved gaps, and follow decisions back to the field. You'll thrive in this role if you: - Have substantial technical consulting or equivalent experience, including relationships with senior technical and business leaders in complex organizations. - Have hands-on experience with Model Garden and the Vertex AI SDK for Python / Agent Platform SDK, including programmatic model discovery, deployment configuration, endpoint deployment, and inference testing. Understand how this tooling differs from Google Gen AI SDK and OpenAI API/SDK integration paths. - Can build production applications using Python or another relevant language, APIs, containers, and cloud services. - Have practical experience with LLM evaluation, retrieval, tool use, and secure enterprise integration. - Balance hands-on delivery with strategic influence, know when to go deep and when to enable others, and build trust with engineers, architects, and executives. - Prefer repeatable solutions, take ownership of ambiguous problems, and measure success through customer outcomes and partner self-sufficiency. 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.
Partner Applied AI Engineer, Oracle and Cloud ISV
About the team The Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner Applied AI Engineer focused on Cloud ISVs, you will work with Oracle Cloud, Snowflake, and Databricks to help customers adopt OpenAI. You will bring OpenAI capabilities to the applications, data platforms, and developer workflows customers already use, then turn successful deployments into approaches the field and partner teams can deliver independently. About the role We are looking for an experienced technical leader to work with partner architects, AI specialists, and sales teams across three distinct routes to market. You will lead technical work from joint account discovery and architecture through evaluation and production, alongside OpenAI account teams and partner sellers. You will help customers choose the right deployment and purchasing path for the workload, with clear ownership of security, billing, support, and operations. In this role, you will: Strategic partner engagement and influence - Build relationships with Oracle, Snowflake, and Databricks field leaders and technical teams. Shape joint account plans, identify the customer problem each partner can help solve, and prioritize opportunities with a clear path to production and reuse. - Oracle Cloud: Work with Oracle sellers on eligible, sales-managed Oracle Marketplace private offers for OpenAI API models, ChatGPT Work, and Codex. Distinguish procurement, billing, and eligible commitment drawdown from OpenAI-managed product access, inference, and support. Where customers build on OCI, design the application and data integration without assuming the model is hosted on OCI. - Snowflake: Work with Snowflake account and technical teams to qualify data and AI workloads where OpenAI models in Snowflake Cortex AI are a fit. Help customers evaluate use cases such as AI functions over governed data, search, analytics, and agents. Confirm model and regional availability, data boundaries, and operating requirements. Distinguish Snowflake-metered Cortex usage from a customer application that calls OpenAI directly. - Databricks: Work with Databricks sellers and solution architects on three joint plays: developer workflows with Codex and Unity AI Gateway, enterprise insights with ChatGPT and Genie where supported, and GPT-powered applications and agents with Mosaic AI Model Serving, Agent Bricks, and Databricks Apps. Validate each route against the customer’s governance and deployment requirements. Distinguish Databricks-billed usage from direct OpenAI billing and confirm commercial eligibility and attribution before making commitments. Complex deal leadership and execution - Lead technical discovery, architecture, prototyping, evaluation, and production readiness. Agree with both account teams on what the customer will deploy, how success will be verified, and who owns the next step. - Validate model and feature availability, identity and network boundaries, data handling and residency, capacity, metering, and support ownership. Work with Alliances, Sales, and Billing Ops on technical readiness without taking ownership of pricing, terms, offer acceptance, or billing approvals. Solution architecture and hands-on building - Build reference implementations with OpenAI APIs and partner-native capabilities, such as OCI application and data services, Snowflake Cortex AI, and Databricks Mosaic AI Model Serving. Use the appropriate integration path for the workload and validate permissions and data movement before deployment. - Put evaluation, observability, and deployment practices in place to measure quality, safety, reliability, latency, cost, and real workload usage. Ecosystem enablement and scale - Create demos, workshops, reference architectures, and playbooks that partner engineers, field teams, and systems integrators can use independently. Pair on early deployments, then hand off proven patterns with clear prerequisites and support paths. Cross-functional leadership and feedback - Work with Alliances, Sales, Product, Engineering, and Enablement to resolve blockers. Turn patterns across accounts into specific product feedback backed by evidence, and keep field guidance current on what is supported, what is limited, and what is not yet available. You'll thrive in this role if you: - Have substantial experience leading technical engagements with enterprise engineering and business leaders across pre- and post-sales. - Have hands-on depth in at least one of OCI, Snowflake, or Databricks and can build credible architectures across the others. You understand enterprise data governance and know how to integrate OpenAI products into production systems. - Can build in Python or a comparable language and have practical experience with APIs, retrieval, tool use, LLM evaluation, and secure cloud deployments. - Can explain how a workload is purchased, accessed, served, metered, and supported without conflating those decisions. You build trust across sales and engineering, and measure success through customer adoption and partner self-sufficiency. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer II, Fintech
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build agentic AI systems on AWS that power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll design and ship MCP (Model Context Protocol) servers, Bedrock-based agents, and Claude-powered workflows, and own the AWS-native infrastructure behind them end-to-end (Lambda, Step Functions, API Gateway, S3, DynamoDB, ECS/Fargate, CDK). You'll work at the intersection of modern AI tooling and production cloud engineering, connecting AI agents to enterprise systems and data, automating manual operational work, and turning emerging AI capabilities into reliable, secure, observable services. The business problems are well understood; how you solve them with AWS + AI is up to you. We're looking for an engineer who stays current with the AI tooling landscape (models, agent frameworks, coding assistants, MCP), uses these tools heavily every day, and raises the bar on automation for the whole team. You Will Build agentic AI systems - Build MCP servers that give AI agents and assistants (Claude, Amazon Q, Kiro, and internal tools) secure access to enterprise data and actions, including through Bedrock AgentCore Gateway - Build Bedrock agents and Claude-powered workflows (using AgentCore, Knowledge Bases, Guardrails, Strands Agents, or LangGraph) that automate Finance work like reconciliations, reporting, variance analysis, and payouts - Evaluate and adopt new AI tools, models, and patterns as they emerge; turn prototypes into production-grade services - Design for safety and trust through prompt/tool design, guardrails, human-in-the-loop approvals, evaluation, and auditability Build on AWS - Build and run the AWS services that host the agents and integrations (Lambda, Step Functions, API Gateway, S3, DynamoDB, EventBridge, SQS/SNS, ECS/Fargate) - Manage infrastructure with CDK, including CI/CD, IAM, VPC connectivity, secrets management, and beta/gamma/prod environments - Develop data pipelines between enterprise apps, Redshift, and S3, and make that data available to AI agents - Set up monitoring for agents and services (CloudWatch metrics, logs, alarms, tracing) Cross-cutting - Collaborate with Finance, Accounting, and Tax stakeholders to translate business requirements into AI-driven solutions - Own production systems end-to-end, from deployment and monitoring to incident response and iterative improvement - Raise the team's bar through code reviews, docs, mentoring, and promoting AI-assisted development You Have AI and Agents - Demonstrated heavy use of AI tools (Claude, Claude Code, Kiro, Amazon Q Developer, or similar) integrated into your daily engineering workflow for code generation, data analysis, automation, and problem-solving - Hands-on experience building with LLM APIs (Amazon Bedrock, Anthropic API, or similar), including prompt design, tool calling, and structured outputs - Working knowledge of the current AI tooling landscape, including MCP, agent frameworks, RAG patterns, and model selection trade-offs AWS and Engineering - 4+ years of professional software development experience - Hands-on experience deploying and operating production workloads on AWS (Lambda, S3, Step Functions, DynamoDB, IAM, API Gateway, or similar) - Proficiency in Python or TypeScript/JavaScript with a track record of shipping production code - Experience writing, deploying, and reviewing infrastructure-as-code (CDK, Terraform, or CloudFormation) in a team setting - Experience designing, testing, and debugging APIs (REST, JSON, OpenAPI) using tools like Bruno or Postman, including building request collections, handling authentication flows, and validating response contracts - Understanding of OAuth 2.0 authorization flows (authorization code, client credentials) and OpenID Connect (OIDC) for securing APIs and agent-to-service access Bonus Points - AWS certification (e.g., Solutions Architect, Developer, DevOps Engineer, Machine Learning Engineer, or AI Practitioner) - Experience shipping MCP servers, Bedrock agents, or other agentic systems to production, using tools like AgentCore, Strands Agents, or LangGraph - Experience with LLM evaluation, observability, and guardrails (hallucination checks, cost/latency optimization, prompt versioning) - Experience with RAG and vector stores (Bedrock Knowledge Bases, OpenSearch Serverless, pgvector, or S3 Vectors) - Experience building internal developer tooling or AI assistants used by other engineers - Finance domain knowledge in areas like AP, AR, GL, reconciliations, or payouts - Experience integrating with enterprise systems (ERP, procurement, payments platforms) - Experience with SAP development (ABAP, OData, or integrations) Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW9266 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . US, CA, San Francisco $165,200 - $223,600 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.
SDET Contractor
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SDET Contractor We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems. The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient. Responsibilities - Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations. - Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing. - Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria. - Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle. - Integrate automated testing into CI/CD pipelines and establish effective quality gates. - Partner with Software Engineers, Product Managers, and other QE teams to improve testability, observability, and overall product quality. - Analyze defects and production issues to identify root causes, testing gaps, and opportunities for continuous QE improvement. - Establish quality metrics and provide visibility into test coverage, reliability, defects, and release readiness. What You'll Do - Test Agentic AI workflows, including multi-step execution, tool selection and invocation, task completion, and failure handling. - Validate AI-generated responses using appropriate measures for accuracy, relevance, groundedness, consistency, and adherence to expected behavior. - Test AI guardrails, unexpected inputs, and failure scenarios, including incorrect tool usage and prompt-based attacks. - Validate interactions between AI agents, APIs, tools, data sources, and downstream services. - Develop reusable automation, test data, and evaluation scenarios for repeatable AI and services testing. - Validate API contracts, schemas, authentication, business rules, error handling, and service integrations. - Investigate failures across distributed systems and distinguish application, integration, environmental, automation, and AI-related issues. - Participate in defect triage, root-cause analysis, regression testing, and release-readiness activities. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. - 4+ years of experience in Software Development Engineering in Test, Quality Engineering, Software Engineering, or a related discipline. - Strong experience testing REST APIs, backend services, microservices, or distributed systems. - Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language. - Experience with functional, integration, regression, contract, and end-to-end testing. - Experience integrating automated tests into CI/CD pipelines. - Strong analytical, debugging, and root-cause-analysis skills. - Experience working in an Agile development environment and collaborating across engineering teams. Required Skills - Strong understanding of software testing methodologies and Quality Engineering practices. - Strong API and services testing experience, including REST, JSON, schemas, authentication, and error handling. - Experience designing and maintaining automated test frameworks. - Experience with Git and CI/CD development workflows. - Ability to develop risk-based test strategies and identify appropriate testing layers. - Experience testing distributed systems and service-to-service integrations. - Hands-on experience testing Generative AI, LLM-powered applications, or Agentic AI systems. - Understanding of testing non-deterministic AI behavior and evaluating outputs beyond exact-match assertions. Preferred Skills (Good to have) - Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management. - Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection. - Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies. - Experience testing RAG systems or AI agents interacting with APIs, databases, or external tools. - Experience with contract testing tools such as Pact and API specifications such as OpenAPI/Swagger. - Experience with event-driven architectures, Kafka, Docker, Kubernetes, or cloud platforms such as AWS. - Experience with performance, scalability, reliability, or resiliency testing. - Experience establishing QE metrics, quality gates, or cross-team testing standards. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $58 - $72 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Machine Learning Engineer
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview: Within D2C Data Science, the D2C ML Engineering team is the center of excellence for machine learning engineering. We build and operate the in-house machine learning platform that data scientists use to design, deploy, monitor and experiment with the models powering production decisions across the D2C portfolio. This is a hands-on software engineering role supporting the production use of machine learning. You will build services, pipelines and tools that deliver solutions across payments, fraud prevention and other D2C use cases, including bringing machine learning capabilities into production. You will take ownership of defined components or improvements within our existing architecture, working closely with data scientists and other ML engineers across a globally distributed team. Strong software engineering foundations and a practical understanding of machine learning will help you grow into the wider ML lifecycle. This role follows a hybrid working arrangement, with work primarily performed remotely and attendance at the Brussels office as needed. What you'll be doing: - Contribute to services and pipelines that support activities such as model training, batch or real-time scoring, and production monitoring. - Develop and maintain data transformations, feature aggregations and integrations using Python or Java and SQL. - Help integrate model deployments and A/B experiments in partnership with data scientists and other ML engineers. - Improve automated testing, deployment, monitoring and troubleshooting, and participate in the team’s on-call rotation (no nights). What we're looking for: - Master’s degree in Computer Science, Machine Learning or a related field, with 3+ years of relevant experience. - Strong software engineering foundations, with experience building, deploying and supporting production systems using Python or Java, including monitoring and troubleshooting. - Ability to use AI-assisted development tools effectively, assess their output, and validate changes through appropriate testing and monitoring. - Practical understanding of machine learning concepts and workflows, with some experience applying or supporting ML/AI systems and using SQL to prepare and investigate data. - Ability to work closely with data scientists and product partners across a globally distributed team, and translate their needs into reliable software. Desirable skills: - Exposure to fraud, payments, risk, account security or other adversarial e-commerce problem spaces. - Interest or experience in generative AI applications and agentic workflows. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Machine Learning Engineer, Transaction Risk
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 Transaction Risk team builds the machine learning systems behind Stripe Radar, helping businesses prevent fraud and abuse while letting legitimate customers through. We combine intelligence from across Stripe’s global network with real-time models and AI agents to protect businesses across the customer lifecycle, from signup and free trials to payments and ongoing usage, with a growing focus on the emerging threats facing AI companies. The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle and solving emerging token fraud problems to make Stripe the default fraud and abuse solution for AI. What you’ll do You will own major ML systems and initiatives from problem definition to production. You'll find where ML can make the biggest difference, design the approach, build and ship models and the systems around them, and keep improving them as data, users, and attackers change. Your work may include protecting businesses from abuse across the customer lifecycle, building adaptive and customizable fraud systems for Stripe's largest users, or extending risk intelligence to 50+ global payment methods. Across all of these, you'll use modern approaches, such as transformer models over payment data, graph intelligence across consumers, and LLMs that detect emerging attacks. You will have opportunities to ship 0→1 products, and to improve mission-critical ML models operating at Stripe scale, often driving several efforts in parallel and setting the technical bar for the team. Responsibilities - Lead the design and delivery of ML projects end to end, from framing the problem and sizing the opportunity through deployment, monitoring, and iteration. - Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network, and own the production systems they run on. - Investigate emerging fraud and abuse patterns, decide where ML can have the most impact, and quickly turn those insights into shipped protections. - Design features, datasets, and evaluation strategies for noisy, delayed, and adversarial environments, and set the bar for experimental rigor. - Make sound architecture and modeling tradeoffs between model quality, legitimate-user impact, latency, reliability, and operational cost. - Be the go-to expert for the systems you own: lead incident response for model regressions, reduce operational toil, and make your systems easy for others to build on. - Partner with engineering, product, data science, risk experts, and leading Stripe users to turn modeling improvements into differentiated Radar products. - Turn recurring problems into reusable components, tools, and AI-assisted workflows that speed up the whole team. - Mentor engineers, give thoughtful design and code reviews, and help new teammates ramp up quickly. Who you are You are an experienced ML engineer who combines deep modeling expertise with strong engineering judgment. You've owned ML systems in production, shipped multiple meaningful improvements, and made the people around you more effective. You move fast without breaking things, you're comfortable leading through ambiguity, and you're excited to work at the frontier of payments and AI, turning advances in machine learning into production systems that address new forms of fraud and abuse. 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 - 5+ years of experience developing, evaluating, and deploying machine learning models in a production environment. - A track record of leading ML projects from problem definition to production, with measurable impact. - Deep foundations in machine learning, statistics, model evaluation, and experiment design. - Strong programming and software-engineering skills, with experience writing tested, maintainable code for production ML applications. - Experience designing and operating production ML systems, including several of: large-scale data and feature pipelines, distributed model training, low-latency inference, model deployment, or production monitoring. - Experience mentoring engineers or technically leading projects with multiple contributors. - Ability to investigate ambiguous problems, reason from data, and choose pragmatic technical approaches. - Ability to communicate technical ideas and results clearly and collaborate effectively across disciplines. Preferred qualifications - Experience applying ML to fraud detection, integrity, trust and safety, identity, cybersecurity, or another adversarial domain. - Experience developing or productionizing modern deep learning, graph-learning, or LLM-based approaches. - Experience building and optimizing real-time, low-latency ML systems at scale. - Experience owning the operational health of critical ML systems, including on-call, incident response, and migrations. - Experience rapidly building 0→1 products or working directly with customers. - Experience building AI-assisted tooling or agents that measurably increased a team's velocity.
Engineering Manager - Internal Systems Automations...
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 Internal Systems Automations Platform team’s mission is to unlock productivity across all of Stripe’s internal systems. We build solutions to transform core processes for Finance, Accounting, People, Legal, Sales, Marketing, and more. We orchestrate the full automation lifecycle, using artificial intelligence (AI) for planning, analysis, and reasoning, and deterministic scripts, code, and pipelines for reliable and trustworthy execution. We enable technical and nontechnical users to build hybrid code and no-code automations while working with central Operations, Developer Productivity, Infrastructure, and machine learning (ML) teams on behalf of all Internal Systems customers to build powerful platforms together. What you’ll do We’re looking for an experienced engineering manager with a passion for simplifying complex systems and driving operational efficiency. In this role, you’ll analyze existing processes across Stripe’s internal systems, use automation platforms where possible, and design new solutions when needed. You will implement cutting-edge automation solutions, including AI agents, robotic process automation (RPA), and data pipelines, and build best-in-class platforms. You’ll be responsible for continuously improving workflows to maximize efficiency and deliver meaningful business impact across a broad set of internal stakeholders. Responsibilities - Lead your team of talented engineers to design and deploy data pipelines and intelligent workflows that simplify operations for internal customers, including Finance, Accounting, Legal, People, Sales, Marketing, and Operations teams. - Collaborate with product managers and talk directly with users to drive a high-impact, prioritized roadmap for your team. - Recruit, coach, mentor, develop, and grow engineers on your team. - Be deeply involved in launching new product features and capabilities. - Partner with engineers and product managers across Stripe to ensure your features are integrated into the Stripe suite. 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 - 5+ years of engineering management experience and 10+ years of overall experience in the industry. - Proven experience working on high-scale systems with a strong technical foundation. - Works very well cross-functionally and is able to think rigorously and make hard decisions and tradeoffs. - Thrives on a high level of autonomy and responsibility. - Encourages a healthy work environment that’s both supportive and challenging and enables engineers to do their best work. - Strong technical background and hands-on experience in solving large-scale and difficult technical problems. - Ability to work with diverse internal teams and stakeholders across Finance, Legal, Operations, and other business functions. Preferred qualifications - Experience with AI, large language model (LLM), or ML technologies is highly valuable. - Understanding of context-driven AI agents that can autonomously figure out solutions when given business problems and context.
Senior Customer Engineer, Majors - NE
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Northeast What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Software Engineer, ROS Open Platform & AI Enableme...
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 Software Engineer on the ROS team, you'll help shape the future of how we run the enterprise. You'll build the products and platform that map how Roblox works — who our people are, how our organization is structured, and what work is happening. With AI transforming the way we work, you'll help make this company data trusted and accessible to both employees and AI agents, helping Roblox operate at 10x efficiency. You Will - Work across engineering, product, finance, people, and talent teams to innovate how we run the company, defining and refining requirements for high-impact internal products. - Drive alignment across teams, shaping product requirements and ensuring everyone is working toward the same vision. - Lead projects from end to end, ensuring they are well-planned, high-quality, and impactful. - Work across a wide range of technologies, from frontend and backend to data pipelines and infrastructure, learning quickly to solve complex challenges. - Uphold high engineering standards, building scalable, performant, and future-proof systems. - Explore and apply AI to improve efficiency, embracing new tools and approaches that drive a 10x impact. You Have - 1-3 years of experience in software engineering, with a track record of delivering high-quality production code. - Coding Proficiency: Strong programming skills in at least one modern language (e.g., TypeScript, Python) - Problem-Solving Skills: A solid understanding of computer science fundamentals, data structures, and algorithms, with an aptitude for debugging complex issues. - Communication : Ability to work clearly and collaboratively with engineers and non-technical partners - Education: A Bachelor's degree (or equivalent professional experience) in Computer Science or a related engineering field. Please note the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future F-1 or H-1B sponsorship at this time. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $153,120 - $196,750 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning Engineer: Creator Tools &...
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 founding engineer on the Creator Intelligence team, you will build AI-powered products and platforms that empower Roblox to support and scale its developer community. Partnering closely with Creator Relations teams, you will develop agentic systems, data pipelines, and interactive tools designed to deliver proactive insights, automated briefings, and self-serve recommendations to creators worldwide. You will take ownership across the full stack, from LLM orchestration and eval frameworks to user-facing applications, consolidating early prototypes into a cohesive, production-grade platform. You Will: - Help and understand the needs of the community that uses our software, from internal Creator Relations teams to developers of every size around the world. - Take ownership and responsibility for designing, building, testing, and deploying services within the Roblox ecosystem. - Turn early prototypes and team-built tools into reliable, scalable, production-quality products. - Work on a variety of unique technical challenges within complex systems. - Be a technical bar-raiser for high code quality, architectural designs, and long-term planning. - Develop fellow engineers on the team. You Have: - 5+ years of experience shipping high-complexity software and supporting mission-critical applications at scale. - Experience architecting, designing, and leading implementation across a wide range of software products and systems. - Experience building AI-powered products in production, including LLM integration, orchestration, reliability, and observability. - Familiarity with agentic systems and multi-step execution loops, including planning, tool use, retrieval, recovery, and long-running workflows. - Understanding of tools, skills, and evaluation frameworks for AI systems, including how to design reliable tool interfaces and measure quality through structured evals. - Experience building data pipelines and turning large-scale behavioral and business data into signals, scores, and recommendations. - Expertise in component-based libraries and frameworks, with a strong grasp of building performant, high-quality user experiences. - Proficiency in C++, C#, Java, Python, or similar programming languages. - Strong understanding of SQL and NoSQL systems at scale. - Comfort working in ambiguity on a new team, partnering closely with product and non-engineering stakeholders to define what gets built. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Deal Desk Lead
We’re looking for a Deal Desk Lead to help our GTM teams structure and close deals that support durable revenue growth. You’ll partner with the field, the Head of Revenue Operations, and Finance and Legal leadership to balance customer needs with company priorities. You’ll own Deal Desk end to end and build the team as we grow. This is a hands-on role for someone who moves with urgency and finds workable solutions, not simply obstacles or approval paths. What you’ll do - Partner with the field: Engage early on complex opportunities, understand customer needs, and remove obstacles to close. Bring Sales, Finance, and Legal together to resolve issues quickly. - Structure deals and balance trade-offs: Shape pricing, discounts, commitments, and payment terms. Weigh customer value, revenue, profitability, and risk, offering practical alternatives rather than a simple yes or no. - Own review and approvals: Run a responsive process for nonstandard deals and exceptions. Apply policies consistently and escalate decisions beyond your authority with clear options and a recommendation. - Ensure accurate execution: Ensure quotes, order forms, approvals, and CRM records reflect agreed terms. Resolve discrepancies before signature and enable clean handoffs to billing and post-sale teams. - Own quote-to-order requirements and delivery: Define business requirements, priorities, and acceptance criteria for quote-to-order workflows. Hold Systems accountable for building and delivering against them, owning business acceptance testing and sign-off. - Scale the function: Build playbooks, approval frameworks, and field enablement that reduce recurring friction. Use deal and exception patterns to recommend improvements to pricing and commercial policy. Hire, coach, and develop the Deal Desk team as the business grows. What you bring - Relevant experience: 4+ years in Deal Desk, commercial operations, or a related function in SaaS or another high-growth industry, including complex deal structuring and approvals. - Exceptional business partnership: A track record of earning Sales’ trust through responsiveness, practical solutions, and sound commercial judgment that protects the business. - Autonomy and extreme ownership: The ability to prioritize independently, surface risks early, and drive issues to resolution without close supervision. - Commercial judgment and precision: Strong analytical skills and exceptional attention to detail across deal economics, terms, and documentation, even under tight deadlines. You distinguish material risks from issues that should not hold up a deal. - Tact and communication: The ability to handle Sales exception and clarification requests tactfully, influence stakeholders, and escalate to senior leadership appropriately. - Hands-on systems expertise: Experience with CRM, quoting or CPQ tools, and approval workflows, plus the ability to translate field needs into actionable business requirements. - AI perspective and drive: A strong perspective on how AI is changing traditional quote-to-order workflows, and a passion for putting that perspective into practice across the business. - People management: Experience managing and developing direct reports, with the ability to build a team while remaining hands-on. Nice to have - Evolving business models: Experience with consumption-based, usage-based, or hybrid subscription models. - Enterprise complexity: Experience with enterprise procurement and multiyear agreements.
Senior Field Marketing Manager, Southern Europe
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As Field Marketing Manager for the Southern Europe region (Spain and Italy), you will own and execute Mistral’s field marketing strategy, driving brand awareness, demand generation, and revenue growth. You’ll lead the end-to-end planning and delivery of external events, owned events, localized campaigns, ABM initiatives, and partner marketing activities. This role is ideal for a strategic thinker and hands-on project manager who excels in a collaborative, high-growth environment. Your work will directly advance our mission: delivering frontier AI to the world’s leading organizations to solve their toughest challenges. What you will do - Own the regional field marketing plan and budget for the Southern Europe region across Spain and Italy aligned to go-to-market objectives. - Partner with regional sales leadership to translate territory priorities and target accounts into field marketing programs. - Execute the plan of field programs from end-to-end across third-party conference sponsorships, Mistral-owned events (e.g., summits, roundtables, forums), account-Based Marketing (ABM) programs and campaigns. - Manage project timelines, vendor relationships, logistics, and speaker coordination with precision. - Allocate and optimize the regional marketing budget aligned with field marketing objectives. - Monitor and report on progress against objectives and the regional territory plan. Analyze campaign-level results, extract learnings, and iterate on strategies for continuous improvement. - Proactively engage with key stakeholders to ensure program success from sales, product marketing, demand gen, comms, public affairs. About you - 5+ years of experience in field marketing, with a focus on owned events, conference sponsorships, partner marketing, and ABM. - Enterprise B2B tech background, with a deep understanding of enterprise selling and B2B tech business models. - Proven experience managing field marketing programs in the Southern Europe region. - Strategic thinker and problem solver, able to translate business needs into actionable field marketing plans. - Strong project management skills, with the ability to deliver in a fast-paced, high-growth environment. - Fluent in English, Spanish or Italian. - Self-starter mindset: Result-oriented, resourceful, innovative, and intellectually curious. - No ego, highly committed, with a growth mindset and the ability to quickly grasp complex topics. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Internship - HR People Ops EMEA
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an HR People Ops intern on the People Operations team at Mistral AI, you will support our EMEA people operations in a hands-on, fast-moving environment. This is a great opportunity to discover the full scope of People Operations in a fast-growing AI company while contributing to our expansion across Europe. You will work closely with the People Ops team, assist with day-to-day operations, and take ownership of concrete projects, such as improving our HR documentation and helping coordinate onboarding for new joiners across EMEA. This is a 6-month internship based in Paris. What You Will Do - Support onboarding for new joiners - Help maintain and update HR records, policies, and employee handbooks - Assist with employee contractual documentation throughout the employment lifecycle - Help answer day-to-day HR inquiries - Conduct research on employment law and HR practices across EMEA countries to support our expansion - Participate in process improvement projects with cross-functional partners, including Legal, Finance and Talent Acquisition What We're Looking For - Currently pursuing a Master's degree (or final year of studies) in HR, labour law, business administration, or a related field; - A strong interest in HR operations, employment law, and international environments, prior internship or work experience in HR is a plus; - Excellent organizational skills and attention to detail - Strong written and verbal communication skills in English; additional European languages are a plus - Proficiency with office tools (Google Workspace / Excel); curiosity about HRIS and payroll platforms - Proactive, hands-on attitude - Comfortable navigating ambiguity and eager to learn Salary ranges from 1500€ to 2000€ gross. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Field Marketing Manager, Korea
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the role You'll bring together two important parts of our go-to-market strategy. First, enterprise growth. You'll work with sales to build demand and accelerate opportunities across Korea's most important and highly regulated organizations, including the major conglomerates (chaebol), financial institutions, telecommunications companies, and other strategic accounts. Second, sovereign and public sector. Korea has a strong national agenda around AI capability, technology sovereignty, and digital government. You'll help build trusted relationships with government agencies, public institutions, and policy stakeholders through executive engagement, policy-led conversations, roundtables, and high-touch experiences. This is an opportunity to build the playbook rather than inherit one. As the first marketer in the country, you'll have significant ownership over strategy and execution, with the autonomy to experiment, move quickly, and see a direct connection between your work and Mistral's growth in Korea. What you'll do Create exceptional field experiences - Own the strategy and execution of Korean events, industry conferences, executive briefings, customer experiences, and intimate leadership gatherings. - Develop experiences that go beyond traditional events, creating meaningful conversations between Mistral, customers, partners, and industry leaders. - Balance strategic thinking with hands-on execution, from developing the program concept to being on-site to make it happen. - Manage project timelines, vendor relationships, logistics, and speaker coordination with precision. - Establish Mistral's presence in key local moments, from AI and cloud industry events to executive forums and closed-door roundtables. Craft the Korean marketing strategy - Develop and execute Mistral's field marketing strategy for Korea, translating global priorities into locally relevant programs. - Work closely with the local sales team to identify market opportunities, priority accounts, and the programs that can have the greatest commercial impact. - Own and optimize the Korean field marketing budget aligned to GTM objectives. - Establish a clear view of marketing performance, from engagement and account penetration through to pipeline and revenue contribution; analyze results, extract learnings, and iterate. Build trusted relationships with government and public sector - Create high-touch marketing programs for government and public sector audiences, including executive roundtables, VIP briefings, and delegation visits. - Help position Mistral as a credible and trusted partner in conversations around AI, technology sovereignty, and digital transformation. - Work closely with sales and leadership to create meaningful engagement with senior government and public-sector stakeholders. Accelerate strategic enterprise accounts - Partner with the sales team to develop account-based marketing strategies across priority accounts, including the large conglomerates and regulated enterprises that define the Korean market. - Create highly targeted 1:1 and 1:few campaigns designed to open doors, deepen relationships, and accelerate complex, relationship-driven sales cycles. - Connect campaigns, events, content, and executive engagement into cohesive account strategies that move opportunities forward. Support the local ecosystem - Develop joint marketing and go-to-market programs with strategic local partners, including Korean GSIs, cloud providers, and technology partners. - Work with partners to extend Mistral's reach and create new opportunities for customer engagement. - Identify new partnership opportunities that can strengthen Mistral's position in Korea. Bring Korea's voice to Mistral - Represent the needs, insights, and opportunities of the Korean market within the global marketing organization. - Partner with Product Marketing and Demand Generation to adapt global messaging, campaigns, and assets for the local market, including Korean-language localization. - Bring a deep understanding of local customer needs, culture, regulations, and competitive dynamics to inform our global strategy. - Identify what is working in-market and turn those learnings into repeatable approaches. What we're looking for Must have - 5+ years in field marketing (owned events, conference sponsorships, partner marketing, ABM). - Strong experience in the Korean market, with a deep understanding of its commercial and cultural dynamics; including how enterprise buying decisions are made and how relationships are built. - Enterprise B2B tech background, with an understanding of enterprise selling and B2B tech business models. - Experience marketing to enterprise, regulated, or public sector audiences, ideally with exposure to financial services, telecommunications, or government. - Experience creating high-touch executive programs such as roundtables, VIP briefings, customer events, or policy-focused engagements. - Strong understanding of account-based marketing, with the ability to build programs around strategic accounts and complex enterprise sales cycles. - Experience developing joint GTM or co-marketing programs with partners such as GSIs, telcos, cloud providers, or technology vendors. - Native-level Korean and professional fluency in English; able to represent Mistral confidently with senior audiences in both languages. - Strong hands-on project management experience and the ability to deliver in a fast-paced, high-growth environment. - Content creation skills, or the ability to collaborate with content and design teams. Nice to have - Experience in AI companies or marketing AI/infrastructure products. - Experience as a first-in-country or first-in-region marketing hire, building a function from scratch. Foundational skills - Problem-solving and strategic thinking; able to translate business needs into an actionable field marketing plan. - Proactive, adaptable, hands-on. - Strong project management and creative thinking. - A strong commercial mindset: able to connect marketing activity to account engagement, pipeline, and business outcomes. - High ownership and low ego: comfortable creating structure where there isn't one, making decisions quickly, and taking responsibility for the outcome. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Design Operations Manager
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Design Operations Manager (DesignOps) , you will sit within Mistral's Product Operations function, with a focus on streamlining the operations of the design team. You will own how the Design team operates as a system — its cadences, its rituals, its coordination, and the connective tissue that lets designers focus on design. This role exists because a design org at our scale needs someone whose full-time job is the operating system itself: defining it, holding it, and continuously tuning it so the team runs with a heartbeat rather than on ad-hoc heroics. You will own the team's weekly and quarterly cadences — from leadership syncs to planning, retros, and share-outs — and establish how we track work, surface it outward, and make decisions. You'll design the forums where decisions get made and recorded, keep the rituals that create alignment, and aggressively cut the ones that are just overhead. Equally, you are the bridge across the org. You will coordinate the interlocks between Brand and Marketing for upcoming launches, and between Product and Product Design for the build pipeline — so interdependencies are understood and planned for, not discovered at the last minute. You will partner closely with marketing, PMs, engineering, GTM to align design work with go-to-market timing and surface what's shipping before it ships. This is a team-of-one role with a founding design-ops mentality. You will build the discipline from scratch, automate repetitive coordination with AI where it helps, and coordinate people where it matters. You report to the Head of Product Operations, working day-to-day with the Head of Design and the design team. What You Will Do - Define the operating system of the design team — the cadences, forums, rituals, and source-of-truth that keep the team aligned and moving forward. - Own the weekly and quarterly cadences, from leadership syncs and critiques to planning, retros, and headcount-cycle inputs. - Coordinate the Brand × Marketing and Product × Product Design interlocks so design work is surfaced with enough lead time and dependencies are planned, not discovered late. - Establish how the team tracks and shares out work — a single source of truth for status, and the forums where design is made legible to the rest of the org. - Design and hold decision-making forums so decisions get made, recorded, and not relitigated. - Separate ritual from overhead — keep the cadences that create alignment and cut the ones that are just tax. - Automate repetitive coordination, reporting, and tracking with AI so the team spends time on design, not admin. - Bring the wider Product Operations toolkit to the design team — data and analytics for transparent reporting, structured feedback loops and early-access programmes, and launch coordination that aligns design work with product release cycles and go-to-market timing. - Partner with marketing, PMs, engineering and GTM to align design work with go-to-market timing and surface what's shipping. What We're Looking For - 6–10 years of experience in design operations, product operations, program management, or a chief-of-staff role within a creative or product organization. - A founding design-ops mindset — you've built operational disciplines from scratch, not just maintained inherited ones. - Comfortable automating with AI tools to remove repetitive overhead, while equally skilled at coordinating people and building coalitions without authority. - Strong systems thinking — you design repeatable rhythms and processes, not just run meetings. - Design literacy — enough background to have felt the pain designers feel and to be credible with the team. - A make-it-happen attitude: positive, bias to action, unblocks rather than escalates. - Excellent communication and synthesis skills — you turn scattered signals into a shared source of truth. - Ability to thrive in ambiguity and define your own scope in a role with no playbook and no team to delegate to. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
HRBP, GTM
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. HRBP, GTM We're hiring a Senior HR Business Partner to support our rapidly scaling Go-to-Market organization. This person will partner closely with senior leaders across Sales, Marketing, Business Operations, and Recruiting to help build high-performing, durable teams in a fast-moving environment. This is not a traditional HRBP role. You'll operate as a strategic thought partner and hands-on builder in a high-talent-density company where expectations are high and the pace is fast. RESPONSIBILITIES: - Partner Closely with GTM Leadership: Act as a trusted advisor to leaders across Sales, Marketing, Business Operations, and Recruiting; coach managers and leaders on performance, feedback, team health, organizational changes, and leadership effectiveness; support high-stakes decision-making and help leaders navigate rapid growth and ambiguity; raise the bar on accountability, talent density, and leadership quality across the organization - Drive Org Design and Talent Strategy: Partner on org design, headcount planning, team structure, leveling, and mobility; help leaders build scalable, high-performing teams with clear ownership and accountability; identify organizational gaps and proactively solve for talent, structure, and execution challenges; support thoughtful scaling without introducing unnecessary process or complexity - Own Performance and Employee Experience: Drive and operationalize performance management, calibrations, promotions, onboarding, engagement, and development programs; navigate employee relations and sensitive situations with strong judgment, empathy, and pragmatism; ensure high standards are upheld consistently while maintaining a strong employee experience; help build lightweight, high-quality systems that scale with the business - Build and Scale the Function: Partner cross-functionally with Recruiting, Compensation, Legal, Finance, and People Ops; build People infrastructure and operating rhythms from the ground up; bring structure, urgency, and follow-through to a fast-moving environment; operate with high ownership and jump into tactical work when needed BASIC QUALIFICATIONS: - 8+ years of experience in HRBP, People Partner, or related leadership roles supporting high-growth GTM organizations PREFERRED SKILLS AND EXPERIENCE: - Strong expertise in organizational design, performance management, leadership coaching, and talent strategy - Excellent judgment and ability to navigate complex, high-stakes situations - Comfortable operating with ambiguity and minimal structure - Pragmatic, direct, highly execution-oriented, and deeply collaborative - Ability to influence senior leaders through credibility and partnership, not process - View HR as a core business function, not a support function - Care deeply about leadership quality, accountability, and talent density - Prefer simple, high-quality systems over heavy process - Thrive in fast-moving, high-expectation environments - Enjoy building from first principles and operating close to the business ADDITIONAL REQUIREMENTS: - This role is based in New York City (SoHo) with an expectation of domestic and international travel as needed COMPENSATION AND BENEFITS: The annual compensation range for this role is listed below. Annual Salary: $145,000 - $185,000 USD Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
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