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Legal Program Manager, Contracts and Governance
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 experienced Legal Program Manager to join our Commercial Legal team, focused on contracts and governance. This role is central to Anthropic’s compliance efforts on the commercial side: you will embed deeply in our sell-side contracting processes, partner across functions, and help build the controls, workflows, and governance infrastructure that revenue-generating activities require as the company matures. You will sit at the intersection of Legal, Finance, Revenue Operations, Sales, Partnerships, Engineering, and Accounting — ensuring that commercial contracting practices meet our governance and compliance standards, with particular emphasis on revenue recognition workstreams. This is a high-visibility role where you will be expected to operate as a player-coach: managing and improving contracting processes yourself while building scalable systems, templates, and playbooks as the function grows. Key responsibilities - Partner with Commercial Legal to continuously improve the end-to-end commercial contracting lifecycle for sell-side agreements (SaaS/API subscriptions, enterprise licenses, partnership and channel agreements, statements of work, and order forms), ensuring alignment with revenue recognition requirements under ASC 606 - Partner with Finance and Accounting to ensure commercial contract terms and structures support accurate revenue recognition, including proper identification of performance obligations, variable consideration, contract modifications, and multi-element arrangements - Develop and maintain contract management workflows, templates, approval matrices, and playbooks that embed governance and compliance requirements directly into the contracting process - Build and operate contract governance controls tied to compliance requirements, including contract review procedures, delegation of authority frameworks, and exception-tracking mechanisms - Maintain disclosure-support processes for commercial contracts, including tracking of material agreements, contract-related risks, and commitments that feed SEC reporting and audit requirements - Partner with Revenue Operations, Sales, and Engineering to design and enforce contract execution standards — including signature authority, amendment protocols, and proper documentation practices — that support SOX compliance and internal controls over financial reporting - Collaborate with cross-functional stakeholders (Sales, Partnerships, Finance, FP&A, Accounting, Engineering, and external auditors) to ensure commercial commitments are properly captured, classified, and reported - Deploy LLM and AI tooling to scale contracting throughput, surface governance exceptions, and reduce manual handling Minimum qualifications - At least 8–10 years of experience in legal program management, legal operations, contracts management, or commercial legal support, preferably in a technology or SaaS environment - Deep, practical knowledge of sell-side commercial contracting processes, including SaaS, subscription, and enterprise licensing agreements - Strong ability to read, interpret, and an
Product Management, Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities: - Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems - Partner with research to define, improve, and ship model capabilities within a research area - Identify nascent research that could become transformative products - Synthesize user insights into actionable requirements and evaluations - Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position - Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams Minimum Qualifications You might be a good fit if you: - Have a deep passion and curiosity for AI and LLMs. Use AI regularly. - Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions - Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL - Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities - Have a track record of launching ambitious products that have achieved distribution or commercial success - Have intellectual curiosity without ego—comfortable asking questions and learning independently - Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks - Have a creative, hacker spirit and love solving puzzles Preferred Qualifications - Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus) &
Senior Data Scientist
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression systems area. You’ll apply mixed methods to own the end-to-end life cycle of creating data assets, reports, insights, to impact the direction of efforts across Epic’s portfolio of products and ecosystems, with a particular focus on our meta-progression systems, like XP and Quests. The successful candidate will have the ability to apply a range of data technologies, statistical methods, and visualization methods to influence development and product teams, and to partner with stakeholders across all parts of the business. In this role, you will - Partner with progression and quest product managers and designers to identify opportunities for our meta-progression systems and use data to develop metrics and insights - Scope the telemetry these systems depend on and build the ETL, data models, and dashboards stakeholders rely on to tune XP, quests, and the Battle Pass each season - Run exploratory analysis, whether that's how to cohort players, what's behind an engagement shift, or funnel analysis - Design and run experiments: A/B tests where we can randomize, and other causal inference methods (difference-in-differences, regression discontinuity) where we can't - Partner on new progression features from the start, from scoping what to measure through standing up reporting for launch What we're looking for - At least 5 years in analytics or data science, with a proven interest in and knowledge of live-service games and how players engage with them - Strong product sense, and a track record of shaping what a team builds by putting the right data in front of the right people - Fluent, efficient SQL over very large datasets and solid footing in the Python analytics stack - Experience scoping telemetry with engineering teams and building the ETL and data models on top of it - Grounding in experimental design and A/B testing, with the judgment to know when a clean experiment isn't possible; quasi-experimental methods (RDD, difference-in-differences) are a plus - Experience with production tooling: version control (GitHub), orchestration (Airflow / Astronomer), and AI coding tools such as Claude Code. EPIC JOB + EPIC BENEFITS = EPIC LIFE <span data-sheets-userformat="{"2":13201,"3":{"1":0},"7":{"1":[{"1":2,"2":0,"5":{"1":2,"2":13421772}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"
Finance Fellow - Human Frontier Collective (UK)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD, Master, BBA in Finance, Economics, or related degrees. - Certifications: CFA or CPA strongly preferred. - Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. - Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. - Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance res
Software Engineer, Machine Learning
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. - Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows. - Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. - Work with product engineers to define and deliver impactful AI features across Figma’s platform. - Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. - Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma. We’d love to hear from you If you have: - 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI. - Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring. - Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost. - Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality. - Experience mentoring or leading others and contributing to a culture of technical excellence and innovation. While not required, It’s an added plus if you also have: - Familiarity with search relevance, ranking, NLP, or RAG systems. - Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows. - Experience working on creative or design-focused ML applications. - Knowledge of additional languages such as C++ or Go is a plus, but not required. - A product mindset with the ability to tie technical work to user outcomes and business impact. - Strong collaboration and communication skills, especially when worki
Senior Machine Learning Systems Engineer, Ranking...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, ML Ranking Platform is the brain behind how millions of people discover content every day. ML Ranking Platform powers 40+ Reddit products including home feed, search, subreddit feeds, push notifications and others. It runs a scatter-gather ranking orchestration service that coordinates contextualized and personalized ranking on Reddit. We provide Product Engineers and ML Modeling Engineers with a platform to develop the ranking, recommendation and personalization products to delight, engage and retain Reddit users. How You'll Have Impact As a Senior Software Engineer, ML Ranking Platform , you will design, implement and maintain highly robust, scalable, reliable and performant ranking systems that power personalized feeds, search, and other products at Reddit scale. You’ll drive and deliver high-impact projects, building the ranking engines that orchestrate workflows for a reliable and performant ML-based system. Your work not only powers Reddit feeds; it’ll also shape how communities connect, grow, and thrive across Reddit! - Design and implement the next generation ML ranking system that powers the personalized feeds, search and other products at Reddit - Design and develop ML and Generative AI systems in cloud-based production environments at scale - Partner closely with Product, Infrastructure and Engineering teams and translate requirements into scalable ML systems - Write efficient, scalable and maintainable code that will help us iterate quickly and safely - Champion and drive engineering processes and best practices - Raise the bar for engineering across the team through code reviews, mentorship and knowledge sharing Who You Might Have: - 5+ years of experience as a software engineer developing large-scale distributed systems and data intensive ML based system, using Go, Python, C++ or any object oriented programming language - 5+ years of experience with designing and implementing large-scale performant and reliable machine learning systems. Experience with recommendation systems is preferred. - Experience with developing and improving tools such as deployment, automation, system diagnosis, ML monitoring etc. - Strong organizational skills with the ability to prioritize tasks and keep projects on schedule with a strong attention to detail - BS degree in Computer Science, a similar technical field of study or equivalent practical experience - Fa
Technical Program Manager, Support Delivery
About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a Technical Program Manager to join our Senior Support Engineering team. This role is an exciting opportunity to help define and implement foundational support practices that will scale with OpenAI’s growth. You will lead efforts to establish new operational frameworks, driving process alignment with various internal teams, and leading tooling and automation projects. This position offers the chance to make a significant impact in shaping customer experience while collaborating across multiple teams. We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment. This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in-office per week. Relocation assistance is available. In this role, you will: - Lead support delivery programs for Tier 3 frontline delivery for our most strategic customers, including productivity and workflow improvements, team operations, and knowledge management for the Support Delivery team - Partner with Support Delivery and cross-functional leadership to define the experience, stand up the program, manage pilots and rollout, and ensure premium operations and playbooks stay healthy over time - Lead strategy and program design for internal support initiatives, including specialization programs, quality initiatives, community support, product reliability and launch supportability - Coordinate requirements, implementation, and ongoing iteration with internal build owners and systems partners - Lead projects to identify, implement, and scale tools and automation that improve customer support efficiency and effectiveness - Identify and scale practical AI-powered workflows across support operations, using automation, LLMs, and internal tooling to reduce manual work, improve resolution quality, and help the team operate more effectively at scale - Collaborate across teams to identify opportunities for improvement, reduce friction, and enhance overall customer satisfaction - Help shape the vision and strategy of a new team, contributing to its long-term success and influence across the organization You might thrive in this role if you: - Have 8+ years of experience in program management, operations, or support engineering, with a focus on building scalable processes and tooling - Have shipped or maintained tools and automations (dashboards, ETL pipelines, low-code apps) that eliminated manual work and scaled beyond a single team - Treat ChatGPT & LLMs as default co-developers, rapidly turning natural-language ideas into working code or queries - Deeply enjoy working cross-functionally and are skilled at building relationships with Product, Engineering, and Operations teams - Excel in a dynamic, high-impact team environment where you can create structure and make meaningful contributions - Are passionate about using tools and automation to drive efficiency and improve customer outcomes - Possess exceptional communication, organization, and problem-solving skills - Have a high ownership mindset with a bias toward action; comfortable operating in ambiguity, driving clarity, and rolling up their sleeves to get things done 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.
AI Advisory Principal
Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients. As an AI Advisory Principal, you lead Scale's Advisory work in your vertical, end-to-end. In pre-sales, you shape and qualify opportunities alongside Account Executives and sell the Advisory phase to clients. In delivery, you're the Directly Responsible Individual on engagements — owning the client relationship, running the discovery and scoping work, and accountable for the outcome. Underpinning both, you build out the vertical point of view — the industry and AI expertise that makes Advisory credible — and, as one of the function's first hires, help build the Advisory motion itself. This is a hands-on role: you do the advisory work, not just manage it. What You'll Own You own the engagement and the vertical — from the first pre-sales conversation through the final readout. - Lead engagements end-to-end. You're the Directly Responsible Individual on engagements — owning the client relationship, running workshops, leading the final readout, driving the direction, and accountable for the outcome (use-case selection, SOW quality, delivery). You coordinate and direct the Solutions Engineers, Designers, Tech Leads, and DSGs on the engagement without managing them directly. - Sell Advisory in your vertical. You build the approach, lead the Advisory portion of key pre-sales meetings, bring industry roadmap examples from buyer peers, and qualify opportunities with Account Executives — and you represent Scale and Advisory at industry events. - Build the vertical point of view. You develop your vertical's point of view — the AI-shaped problems, best practices, technology and learnings, and buyer-peer and competitor intelligence that make Advisory credible in the field. - Grow the playbook from the field. You surface what's working and what isn't across your engagements, document the patterns and reusable approaches, and work with DSGs to update the Advisory approach based on build feedback. - Manage your Consultant. You manage the Consultant on your engagements and overall — coaching them, giving feedback, and owning their professional development — and you provide input on Consultant hiring. Qualifications Ideally, you’d have - Senior manager or principal equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 7+ years of work experience. AI strategy or transformation experience strongly preferred. - Scoping, proposal, and pitching experience — comfortable shaping and selling an engagement, not just delivering it. - The judgment to advise clients directly on where AI creates value — identifying and shaping the right, AI-shaped use cases for their business. - The technical credibility to speak to AI builds credibility and to work closely with Solutions Engineers on feasibility. - A classic consulting toolkit e.g. strategy, operating-model, governan
Senior Technical Program Manager - Security
About the Team OpenAI builds powerful AI systems like ChatGPT, the OpenAI API, and enterprise products that serve millions of users across the globe. As we scale, securing our infrastructure, protecting sensitive data, and meeting global compliance standards are essential to our success and societal impact. Security at OpenAI is a cross-cutting function that spans infrastructure, applied engineering, legal, policy, and product. Technical Program Managers (TPMs) play a critical leadership role in aligning teams and delivering execution at scale and this role will be foundational in shaping how we secure OpenAI’s systems, users, and commitments. About the Role We’re seeking a Senior Technical Program Manager to drive cross-functional security, privacy, IT and compliance initiatives at the intersection of infrastructure, product, and policy. You will execute complex programs that reduce internal data access, prevent misuse, and ship security capabilities. You will focus your efforts on the most critical initiatives within Security, crossing the spectrum of insider threat, information security, physical security, and information technology challenges. This role is deeply technical and execution-focused. It requires a structured operator who thrives in ambiguity, partners effectively across boundaries, and applies principled judgment to scale trust, governance, and security across OpenAI’s systems and products. In this role, you will: - Drive execution of critical security and compliance programs such as vulnerability management, merger and acquisition security and integration, infrastructure hardening, and datacenter security management. You will need to deeply collaborate on technical architecture and resolve technical problems in partnership with engineering. - Partner with IT, Infrastructure, Application, Legal, Privacy, and Security teams to build scalable programs, and deliver critical security outcomes across multiple disciplines, including insider threat, information security, physical security, and information technology. - Establish scalable frameworks and build programs around critical security initiatives including vulnerability management, evidence collection, incident response coordination, supply chain risk management, and device security. - Track and enforce OpenAI’s privacy and security requirements by translating commitments into engineering milestones and driving their full implementation across systems. - Create and maintain program-level visibility across risk areas, security milestones, and cross-org dependencies—ensuring outcomes are delivered reliably and at high quality. - Communicate status, risks, tradeoffs, and decisions clearly to technical and executive audiences and drive cross-functional execution with urgency and care. You might thrive in this role if you: - Are an empathetic communicator and leader—able to influence across technical and non-technical audiences, and build durable trust with partners. - Have 5+ years of experience leading complex technical programs focused on infrastructure security, data privacy, compliance, or enterprise platform capabilities. - Are deeply fluent in the intersection of engineering systems, security controls, and regulatory expectations—and are able to bring clarity and structure across all three. - Thrive in high-trust environments, bring rigor and systems thinking to ambiguity, and operate with a bias for aligned execution over org boundaries. - Are structured, detail-oriented, and rigorous in ensuring quality, accountability, and durable delivery. - Have a proven record of success driving highly cross-functional efforts across engineering, infrastructure, legal, compliance, and product stakeholders. 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.
Staff Software Engineer, Enterprise GenAI
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-sta
Medical Fellow - Human Frontier Collective (UK)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback. - Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience. - Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields. - Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions. - Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance respon
STEM Fellow - Human Frontier Collective (UK)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines. - Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why Join the HFC? - Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. - Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. Application Process - Apply: We review applications on a rolling basis. - Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evalu
Monetization Programs and Operations Lead
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. The Monetization Program Management and Operations Lead builds the structural systems, data pathways, and operational playbooks that drive long-term business scale. The primary mission is to govern, execute, and evaluate broad commercial programs that ensure the business scales profitably across the entire customer lifecycle. This position acts as a centralized architect bridging Engineering, Product, GTM and Finance. The role owns the continuous optimization loop—taking corporate-level revenue strategies (e.g., consumption-based rollouts, global pricing overhauls, structural monetization shifts) and translating them into automated, repeatable systems and programmatic workflows. The objective is to ensure that backend infrastructure and go-to-market programs operate flawlessly to capture all business value. RESPONSIBILITIES: 1) REVENUE PROGRAM GOVERNANCE & EXECUTION - Lead the end-to-end delivery and program management of large-scale commercial initiatives, including launching new product monetization tiers, managing global price increases, and executing macro market expansions. - Translate high-level strategic growth plans into cross-functional program roadmaps, defining milestones, system requirements, and readiness metrics across the enterprise. - Track long-term programmatic health by analyzing post-launch adoption and financial performance against original business cases to recommend structural shifts. 2) CROSS-FUNCTIONAL SYSTEMS LIFECYCLE OWNERSHIP - Own the cross-functional data pathways and systems architecture required to power the full customer lifecycle, bridging product-use telemetry/metering, usage collection, billing engines, and enterprise ERP systems. - Ensure seamless data continuity across these platforms so that broad monetization shifts or consumption-based strategies map accurately from a user’s product behavior to financial cash recognition. - Partner with engineering, product, and enterprise systems teams to audit system logic, eliminating data silos and systemic data drops that cause delayed or inaccurate billing. 3) SYSTEMIC EFFECTIVENESS DIAGNOSTICS & OPTIMIZATION - Audit the end-to-end commercial architecture to proactively identify macro revenue leakage points, such as untracked feature usage, unmetered consumption, or system translation errors. - Establish proactive early warning metrics to assess whether broad commercial programs are succeeding structurally or where systemic bottlenecks are slowing down company growth. - Design and implement structural, automated governance models to ensure standard framework configurations and packaging models are enforced natively by internal systems. 4) COMMERCIAL ARCHIT
Events Lead - EMEA (Contract)
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ElevenLabs is growing fast across EMEA, and our events programme needs to keep pace. We're looking for a contractor to take ownership of regional field events - trade shows, brand activations, and partner experiences - across multiple European markets. This is a hands-on execution role. You'll work autonomously, move quickly, and hold a high bar for what a world-class event looks like. You'll be embedded in a lean team, so you'll need to be comfortable making decisions, managing vendors, and adapting on the fly without heavy oversight. The right person for this role has done this before — ideally at a fast-moving tech or AI company — and knows what separates a forgettable event from one people talk about. - Own end-to-end logistics and delivery for field events and brand activations across EMEA - Manage third-party vendors, agencies, and venue relationships across multiple markets - Support trade show presence including booth builds, sponsorship fulfilment, and on-site execution - Coordinate with internal stakeholders across marketing, sales, and leadership to align on goals and messaging - Identify and flag gaps - from branding and signage to attendee experience - and solve them proactively Requirements - Proven track record running events across multiple European markets (not just the UK) - Comfortable owning both owned events and third-party sponsorships end
Lead, Incidents & Escalations, User Operations
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a hands-on lead to build and run OpenAI's Incidents & Escalations function within User Operations. This is a player-coach role with a meaningful hands-on operating component. You will set the operating model and also step into active incidents and urgent escalations when needed, coordinating with on-call teams, driving clear ownership, supporting communications, and ensuring issues move through resolution and post-incident closure. During active incidents, you will coordinate with the relevant on-call teams and cross-functional responders across Engineering, Infrastructure, Support Delivery, Product, and Go-To-Market. You will help keep teams aligned, maintain timelines, clarify ownership, escalate when needed, and ensure internal, executive, customer-facing, and external communications are accurate and timely, including status page updates when required. For escalations, you will build and run the processes for tracking, triaging, mitigating, and resolving critical customer and user issues. After incidents and escalations, you will own the follow-through: retrospectives, root cause identification, action item tracking, trend analysis, and process improvements that reduce repeat issues over time. You will also help define the long-term operating model for incidents and escalations across Support Delivery, Engineering, Infrastructure, and other cross-functional partners. This role is ideal for someone who can operate calmly under pressure, bring structure to ambiguity, communicate clearly across technical and non-technical audiences, and improve the system while overseeing day to day operations. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will - Participate in an on-call rotation and serve as the active incident lead during live incidents and urgent escalations. - Own alert intake and triage process across support, safety, customer, and service-impacting issues. - Assess severity, determine scope and impact, and initiate the appropriate response path. - Page and coordinate Engineering, Infrastructure, Support Delivery, Product, Legal, Policy, Go-To-Market, and other teams as needed. - Lead incident response calls, manage timelines, clarify roles, and keep responders focused and unblocked. - Set internal guidelines for incident communications to all users, including enterprise customers, and own internal updates, executive briefings, customer-facing updates, and external status page updates where required. - Maintain situational awareness across all customer-facing incidents and parallel workstreams, ensuring the response remains coordinated and customer impact is understood. - Create and operate the process for monitoring, processing, mitigating, and resolving critical escalations, including formal closure and handoff. - Identify root causes behind incidents and escalations, lead retrospectives, and coordinate corrective action with accountable teams. - Track corrective actions to closure and ensure follow-through is focused on the best possible customer outcome. - Identify recurring operational issues, escalation patterns, and product or process gaps. - Partner with Engineering, Infrastructure, Product and Support leaders to stay ahead of customer-facing incidents, reduce repeat issues, and improve readiness. - Improve incident response processes, severity frameworks, playbooks, tooling, reporting, and automation. - Build a durable operating model for incidents and escalations as OpenAI scales globally. You Might Thrive In This Role If You - Have 8+ years of experience in incident management, technical support, escalation management, SRE, technical program management, or production operations. - Have 5+ years of hands-on experience working in production, on-call, or high-urgency operational environments. - Have 4+ years of leadership experience, ideally in a Support, Engineering, or similar environment. - Are comfortable acting as Incident Commander, owning coordination, decision-making, communication, and accountability during live incidents. - Have direct experience with customer-impacting incidents, executive escalations, safety-sensitive escalations, or high-severity technical issues. - Can communicate clearly under pressure with engineers, support teams, executives, customer-facing teams, and external stakeholders. - Have hands-on experience with incident communications, including internal updates, executive briefings, customer updates, and status pages. - Are experienced with incident management, paging, and alerting tools such as incident.io , PagerDuty, Datadog, Jira, Salesforce, Zendesk, or similar systems. - Understand monitoring and observability well enough to reason about alerts, system health, customer impact, and incident scope. - Can lead post-incident retrospectives that produce clear root causes, corrective actions, and durable improvements. - Drive action items to closure and hold teams accountable without creating unnecessary process drag. - Are highly organized, calm, and structured in ambiguous or high-pressure situations. - Can balance hands-on incident execution with longer-term systems building. - Are excited to use AI and automation to improve triage, routing, summarization, reporting, knowledge management, and incident follow-through. 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.
IT Systems Engineer
The Role: Scale AI is hiring a highly skilled foundational IT Systems Engineer for our Public Sector IT team to design, build, and operate secure, scalable infrastructure that empowers employees to do their best work. You’ll join a creative, fast-moving, solutions-oriented group that architects and implements automation across identity and access management, endpoint management, and our broader SaaS stack. Leveraging Okta Workflows, GCC High/Azure Gov, and your familiarity with federal frameworks (FedRAMP High, IL6, CMMC), you’ll deliver robust, audit-ready systems that meet stringent compliance requirements. The ideal candidate pairs deep IAM best practices and hands-on SaaS administration with a zero-trust mindset, clear documentation, and a genuine drive to make people happy—while protecting system integrity in a fast-paced, high-security environment. You will: - Assist with the administration of our tech stack with platforms such as Okta, GCC High, Opal, Slack, Jamf, Jira, and many more - Provide escalated assistance to the IT Services and Support team - Partner with Security/Compliance on audit artifacts (SSP updates, POA&Ms, control mappings to NIST 800-53/171, CMMC 2.0). - Create and update technology documentation for internal IT teams and Scale employees - Design and maintain Zero-Trust controls (device posture, network segmentation, Conditional Access) across GCC High/Azure Gov and Okta. - Build Okta Workflows and lightweight services (webhooks/queues) to automate joiner–mover–leaver events, access reviews, and deprovisioning. - Own change management for IT systems in regulated environments (CAB records, rollback plans, validation evidence). Ideally you'd have: - 5+ years of IT systems, infrastructure, and/or engineering experience - Experience with integrating with SaaS APIs and SDKs - Experience with leveraging Okta or similar identity management systems for authentication and provisioning methods such as SAML, OIDC, and SCIM - Scripting experience with Python, Powershell, and/or bash - Experience working within SCIFs - Familiarity with IL6 / FedRAMP High / CMMC 2.0 control families and how they translate to concrete IT configs. - Possession of an active Secret or TS/SCI clearance Nice to haves: - IT Security and Compliance focused mindset - Familiarity with Infrastructure-as-Code for identity/MDM configs (e.g., Terraform providers for Okta/Jamf/Azure). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive h
Staff+ Software Engineer, Account Abuse
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 The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures. Responsibilities: - Ability to think and respond quickly in a rapidly-changing greenfield environment - Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture - Integration with third-party data-enrichment vendors - Creating monitoring dashboards, alerts, and internal admin UX - Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability - Building robust and reliable multi-layered defenses - Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses You may be a good fit if you have: - A Bachelor’s degree in Computer Science, Software Engineering or comparable experience - Proficiency in Python, SQL, and data analysis tools. - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: - 8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection. - Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale - Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics &
Senior Data Center Capacity Delivery Manager, AUS
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's 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. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities - Lead. This is a role where leadership trumps management and process. You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. - You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. - Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment - Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders - Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships - Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production - Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making - Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements - Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrast
Enterprise Account Executive (NYC)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - New York City WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation Annual salary: $350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally comp
Compute Infrastructure, Critical Facilities Manage...
About the Team OpenAI is helping build the infrastructure that powers the next generation of artificial intelligence. Through Stargate, we are developing and operating large-scale AI compute campuses that require world-class execution across data center design, construction, commissioning, and operations. The Infrastructure Operations team is responsible for bringing AI infrastructure online and ensuring it operates reliably at scale. We partner closely with hardware, network, deployment, construction, and operations teams to deliver mission-critical environments capable of supporting frontier AI workloads. As our footprint expands, operational excellence becomes increasingly important to ensuring safe, reliable, and efficient campus operations. About the Role We are seeking a Critical Facilities Manager to support the commissioning, operational readiness, and long-term operation of next-generation AI data center campuses. This role sits at the intersection of construction, commissioning, hardware deployment, and facilities operations. You will be responsible for ensuring mission-critical infrastructure is prepared to support hardware deployment, transitioned successfully into production operations, and maintained to the highest standards of reliability and availability. You will lead day-to-day operational execution across electrical, mechanical, controls, and supporting infrastructure systems while partnering closely with commissioning teams, site operators, vendors, and engineering organizations. This role requires a strong blend of technical depth, operational leadership, and cross-functional execution. Key Responsibilities - Lead day-to-day operations of mission-critical facility infrastructure across AI compute campuses. - Own operational readiness activities supporting new campus deployments and infrastructure expansion. - Partner with commissioning teams to transition facilities from construction and startup into steady-state operations. - Develop, implement, and continuously improve operating procedures, maintenance programs, and response plans. - Lead infrastructure incident response efforts and coordinate recovery activities during critical events. - Drive root cause analysis investigations and corrective action programs to improve reliability and operational performance. - Manage vendors, contractors, and service providers supporting facility operations. - Partner with hardware deployment, networking, and engineering teams to coordinate infrastructure changes and maintenance activities. - Monitor facility performance, operational risk, and capacity utilization across critical systems. - Support staffing, training, and development of facilities operations personnel. - Ensure compliance with safety, environmental, and operational standards. - Establish operational processes that scale alongside OpenAI's rapidly growing infrastructure footprint. ( OpenAI ) Qualifications - 8+ years of experience operating mission-critical facilities, data centers, industrial infrastructure, or large-scale technical operations environments. - Possess strong knowledge of electrical distribution systems, generators, UPS systems, cooling systems, and building controls. - Have experience supporting commissioning, operational readiness, or infrastructure turnover programs. - Have led facility operations teams, contractors, and third-party vendors. - Are comfortable responding to incidents and making decisions in high-pressure operational environments. - Have experience developing maintenance strategies, operating procedures, and reliability programs. - Enjoy operating in fast-paced environments with significant ambiguity and rapid growth. - Communicate effectively across technical and non-technical stakeholders. Preferred Skills - Experience supporting hyperscale, cloud, AI, HPC, or mission-critical data center environments. - Experience with liquid cooling systems and high-density compute deployments. - Familiarity with reliability engineering methodologies, root cause analysis, and preventative maintenance programs. - Experience supporting large-scale infrastructure deployment programs. - Experience working across construction, commissioning, engineering, and operations organizations. - Experience scaling operational processes across multiple campuses or geographic regions. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Applied Scientist - Behavior AI
The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record. We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all. The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you. At Datadog, we place value in our office culture: the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Design and build custom mid-size models for high-throughput stream processing, and train them at scale. - Optimize these models from start to finish, working across both the mathematics and the systems, often by finding mathematical reformulations that fit the hardware and software constraints better. - Build the training data pipelines the work depends on when they do not already exist, from the raw stream to a training-ready dataset. - Work with engineering to integrate models into production, with a clear focus on GPU utilization, latency, and cost per record on live traffic. - Plan the roadmap of model and system improvements, based on a solid understanding of the product and of what matters most to users. - Build an agentic layer on top of the models to analyze, validate, and act on their outputs. - Build lightweight interpretability tools that make model behavior easier to explain to the people who rely on it. - Maintain and monitor the models, services, and infrastructure your team owns, and take part in your team's on-call rotation. <
Staff Machine Learning Engineer(Platform - Identit...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: - Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. - Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. - Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. - Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users. - Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design. Required Skills and Experience: - 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production. - Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs. - Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure. - Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: <strong&g
Senior/Staff Security Engineer, Threat Intelligenc...
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 sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them coming. In this role, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work closely with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic. Responsibilities - Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders - Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack - Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections - Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals - Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time - Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships — prioritizing what matters for Anthropic's threat model - Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise - Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners Minimum qualifications - Have hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries <li class="font-claude-response-body whitespace-normal br
Senior Counsel, Privacy and Compliance
Your work will change lives. Including your own. The Impact You’ll Make Recursion is currently seeking a Counsel role specializing in data privacy and compliance work to support the expansion of its clinical trials and compliance infrastructure. The role will have the opportunity to maintain and shape a privacy-by-design infrastructure through careful vendor onboarding, data mapping, developing fit-for-purpose policies, and negotiating privacy terms in transactions. The role will also support the growth of the compliance function within the Legal department through careful right-sizing of guidance, implementation, and training as well as close partnerships across functions. The ideal candidate is business-minded, collaborative, and comfortable translating privacy and regulatory requirements into actionable guidance for cross-functional teams. The candidate will be fluent in international data privacy regulations and requirements as well as corporate compliance familiarity with biotech or pharmaceutical companies. The role will collaborate with different groups across the company, with a particular focus on our Clin Tech, Clinical Operations, and Human Resources group. The successful candidate must use a practical, solutions-focused approach to help accelerate the Company’s goals through the compliance function. In this role, you will: Data Privacy - Develop and maintain infrastructure to comply with varying data privacy regulations in Europe and new countries in support of clinical trial plans - Review and negotiate data protection terms, DPAs, vendor agreements, customer agreements, security addenda, and other contracts from a privacy standpoint - Monitor and advise on privacy and compliance developments, including U.S. state privacy laws, GDPR, CCPA/CPRA, sector-specific privacy rules, and emerging AI and cybersecurity requirements - Support incident response, data subject rights requests, privacy impact assessments, transfer impact assessments, and regulatory inquiries - Support vendor onboarding and maintenance for vendors processing personal data - Maintain the company’s Record of Processing Activity - Counsel on privacy-by-design reviews, data mapping, vendor onboarding, AI/data use cases, and new geographical expansions - Draft policies and perform trainings to support data protection compliance Compliance - Assist the Legal team in drafting and implementing corporate compliance policies, training and follow-up - Partner closely with Human Resources and other functions to identify needs for policies or guidance - Collaborate closely with internal stakeholders on creating a “right size” compliance function that enables business growth while protecting against risk The Team You’ll Join You will be joining a dynamic team of attorneys and stock administration professionals. The team works closely and collaboratively with one another on overall legal and compliance strategy, departmental budget, projects, and professional development. The team relies on a communicative and supportive atmosphere to enable nimble advice and prioritization aligned with business goals. The Experience You’ll Need</st
Senior Manager, Financial Risk Management
About the Team The Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI’s finance-critical operations. Our team designs and governs control frameworks that support accurate, transparent financial results and responsible business execution. We focus on business-process and operational controls across areas such as payments, equity, procure-to-pay, payroll and HR processes, strategic investments, M&A, financial close, third-party dependencies, systems, and other high-risk workflows. We work closely with Controllership, Procurement, Legal, People, Corporate Development, Strategic Finance, Finance Systems, Compliance, and business operators to ensure processes are well-designed, well-documented, and audit-ready. As part of FRM, we contribute to OpenAI’s overall financial risk posture by supporting audit readiness, third-party risk considerations, operational risk governance, systems oversight, and ongoing process improvement across the finance ecosystem. Together, we help build the foundation of trust and operational clarity needed for OpenAI to scale responsibly. About the Role We’re seeking a Senior Manager, Financial Risk Management to help shape and scale OpenAI’s risk and controls framework across several dynamic business domains. This role will focus on identifying, prioritizing, and mitigating operational and financial risk across areas such as payments, equity, strategic investments, procurement, people processes, systems, third-party dependencies, and other finance-critical workflows. This person will serve as a senior cross-functional partner to Finance, Controllership, Legal, People, Procurement, Corporate Development, Payments, Systems, and business operators to design and implement controls that are practical, scalable, and capable of holding up in a fast-changing environment with limited structure. The role requires someone with strong technical controls depth who can move fluidly between risk assessment, control design, program governance, and operational execution — translating ambiguous process risk into clear actions teams can adopt. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead risk and controls support across multiple finance-critical business domains, with a focus on building scalable foundations in a rapidly developing environment. - Assess risks across payments, equity, procurement flows, strategic investments, people processes and related systems. - Identify where the control environment is weakest or most exposed, and prioritize the highest-risk areas for remediation, control design, governance, or monitoring support. - Partner with operational, business, finance, legal, people, procurement, corporate development, and technical teams to design controls that are effective in practice and integrated into day-to-day workflows. - Translate risks into clear operational requirements, including ownership models, approval points, control objectives, monitoring expectations, reconciliations, evidence needs, system dependencies, and escalation paths. - Drive cross-functional remediation efforts where processes are unclear, fragmented, overly manual, inconsistently documented, or dependent on immature systems/data. - Help teams balance speed and control by implementing fit-for-purpose guardrails that support execution, preserve accountability, and avoid unnecessary friction. - Support new or changing processes, systems, deals, vendors, payment flows, and operating models by ensuring risk, control, governance, and evidence considerations are addressed upfront. - Contribute to broader ICFR/SOX and operational risk readiness efforts by strengthening control design, documentation, testing readiness, issue management, and leadership visibility across high-impact processes. You might thrive in this role if you have: - 10+ years of experience in financial risk management, operational risk, internal controls, SOX/ICFR, internal audit, controllership, finance transformation, or related risk/control roles. - Experience working with at least some domains such as payments, procurement, strategic investments, M&A integration, HR/people processes, financial close, controllership, third-party risk, or other operational business processes. - Strong judgment on how to design the right level of control in a fast-scaling company, including where lightweight guardrails are sufficient, where formal ICFR/SOX controls are required, and where automation or monitoring is the better answer. - Experience working in environments with evolving systems, incomplete process structure, unclear ownership, or fragmented data — and bringing order without over-engineering. - Demonstrated ability to partner effectively with operational, finance, legal, people, procurement, corporate development, and technical teams, including stakeholders who may initially view controls as slowing them down. - Strong ability to translate broad risks into actionable controls, RCMs, narratives, operating requirements, quality gates, KRIs, dashboards, and remediation plans. - Deep familiarity with core controls concepts, including preventive vs. detective controls, manual vs. automated controls, IT-dependent controls, monitoring mechanisms, evidence expectations, testing readiness, and deficiency evaluation. - Strong communication, organization, and stakeholder management skills. - ERP, GRC, procurement, payments, HRIS, investment, M&A integration, workflow, or data platform experience is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Computational Biologist – Early Discovery I...
Your work will change lives. Including your own. The Impact You’ll Make As a computational biologist within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision I&I strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de-risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery. We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases (this role) and one in precision oncology. In this role, you will: - Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in I&I disease biology - Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades - Define internal criteria for target data packages and early patient population strategy - Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones - Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions. - Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support. The Experience You’ll Need - PhD in a relevant field (computational biology, bioinformatics, systems biology, immunology, etc.) with a very strong computational focus and 3+ year
Account Director, Large Enterprise - Tokyo
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Manage ~dozen key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to succesful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$1M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Are proficient in both Japanese and English. This is essential to effectively perform key responsibilities such as partnering with customers, driving the sales cycle, managing accounts, collaborating with cross-functional teams, and communicating with headquarters. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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, Cybersecurity Products
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up. This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Responsibilities - Prototype and build new AI-powered products for cybersecurity - Iterate quickly based on customer feedback and what you learn - Collaborate with research teams to identify and develop new model capabilities for security applications - Engage directly with customers and partners to understand workflows and inform product direction You may be a good fit if you: - Have 7+ years of experience as a software engineer - Experience developing cybersecurity products - Enjoy fast iteration and are energized by prototyping new ideas - Have strong product instincts and enjoy defining what to build, not just how to build it - Are comfortable working closely with research and go-to-market teams - Have strong communication skills and can work effectively across functions Strong candidates may also have: - Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields - Experience working with AI/ML models and building products on top of them - Experience building agentic applications Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degre
Software Engineer, Scaled Abuse
About the team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth. The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems. About the role The Scaled Abuse team protects OpenAI’s products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement — balancing strong protections with a great user experience as the platform grows. Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop strong intuition about how it works end-to-end, and propose pragmatic improvements that make the entire stack more resilient. In this role, you will: - Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience - Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system - Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries - Utilize GPT-5 and future models to more effectively combat fraud and abuse You might thrive in this role if you: - Have at least 5 years of software engineering experience in backend and data systems. - Have at least 2 years experience in fraud or abuse analysis, investigation, and/or operations - Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position. - A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others - Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary - Experience in Machine Learning techniques is a plus, but not required Our tech stack Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Revenue Partnerships - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter first Revenue Partnerships hire based in the Middle East who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will: - Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners. - Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets. - Establish and nurture strong partnerships that drive business growth and create new opportunities. - Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team. - Oversee partner relationships at the regional level while maintaining alignment with global strategies. REQUIREMENTS - At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development. - A minimum of 3 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional Syste
Staff+ Software Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: - Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight - Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them - Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic - Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain - Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identity and secrets management - Architect systems that protect sensitive assets including model weights, customer data, and training datasets - Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments Infrastructure security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation Secure frameworks - Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves - Partner with product, research, infrastructure, and other security teams to ensure framewo
Operations Program Manager (Computer Vision), Publ...
Scale's Public Sector customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers. As a Public Sector Operations Program Manager, you will act as the program manager for multiple projects on the Public Sector Computer Vision team, working cross-functionally with our Delivery and Engineering teams, and collaborating with a team of high performing operations managers and subject matter experts to drive operational efficiencies. You will have team and project-level ownership of the operations of our data labeling system and are responsible for delivering data on time and at a high level of quality across diverse data modalities and levels of clearance. All of this serves an ultimate goal of delivering outsize value in supporting our Public Sector customer’s AI / ML objectives.You will also help lead how we develop and communicate our operational improvements for the customer. You will: - Design and lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant geospatial experts) to achieve project outcomes - Innovate on complex computer vision workflows and evaluation of data quality - Communicate and own the execution of multiple data annotation workflows across diverse data types (geospatial imagery, video, etc) - Optimize data annotation workflows with systems analysis to improve data quality and throughput with a goal achieving optimized machine learning outcomes - Outline and deliver on data-driven operational efficiencies on these workflows to achieve business outcomes - Partner with an engagement managers to communicate with and shape outcomes for Scale’s Public Sector customers You have: - 5+ years of experience in a general manager / program manager position or a similar leadership role in operations - The ability to regularly work onsite in both unclassified and secure facilities in either downtown Saint Louis, MO or the Washington D.C. area - An analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results - Experience working in a fast-paced environment - Low ego and a proven pattern of sharing wins with your team - A history of successful project management and comfort in ambiguity - Willingness to travel up to 25% of the time based on customer + mission needs Nice to haves: - An active TS-SCI security clearance - A technical background (education or professional experience with economics, statistics, computer science, or engineering) - Experience working in and / or with the U.S. government - A deep understanding of ML operations for Computer Vision and Generative AI workflows / products - MBA or relevant technical degree Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during t
Internship - Search Backend Infra Engineer
Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment
Associate Director, Computational Biology – Early...
Your work will change lives. Including your own. The Impact You’ll Make As an Associate Director within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. You will lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology targets and therapeutics to fill our internal pipeline. You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. This is a highly collaborative role: you will partner with biologists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery in oncology and immunological diseases. The ideal candidate has strong stakeholder management, technical communication, and 3+ years biotech or pharma experience in early drug discovery. In this role, you will: - Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in disease biology - Lead and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, delivery, and continuous professional growth. - Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades - Define internal criteria for target data packages and early patient population strategy - Connect your team’s innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones - Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and clinical leads to build compelling data packages that drive program milestones and portfolio investment decisions. - Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies for these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. The Experience You’ll Need - PhD in a relevant field (computational biology, bioinformatics, cancer biology,
Staff AI Engineer - Grafana AI/ML | Canada | Remot...
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: - Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. - Rapid experimentation and iteration: Implement a
Customer Engineer (West Coast)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Customer Engineer to join our Enterprise Enablement team. In this role, you will serve as a trusted technical advisor to our new customers, blending technical expertise with a passion for education and enablement. You will be instrumental in accelerating developer and enterprise success with the LangChain ecosystem. You'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology. 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. WHAT YOU'LL DO - Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform - Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices - Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations - Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams - Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain - Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials WHAT WE'RE LOOKING FOR - 5+ years of experience in a tec
Engineering Manager, Agent Runtime Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment. Responsibilities - Own the technical strategy and roadmap, translating goals into concrete execution - Manage day-to-day execution of the team's work - Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment - Stay hands-on: build and ship the runtime platform and tooling - Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management - Build primitives that are composable and reusable across various agents - Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence - Collaborate cross-team, supporting internal teams bringing up their agents You May Be a Good Fit If You: - Have 10+ years building and operating large-scale platforms or distributed systems - Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale - Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment - Have experience with container or VM orchestration at scale - Are obsessed with productivity and transforming how we work - Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: - Engineering management experience on top of a strong IC track record - Experience with harness engineering - Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control - Experience with capacity planning and utilization across multiple cloud providers - Experience working with researchers, engineers and other functional roles Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed bel
Manager, Web Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring an Engineering Manager to lead the team that builds and runs anthropic.com and claude.com, brand web surfaces where most of the world meets Claude and Anthropic for the first time. They carry our research, product launches, policy work, and brand, and they ship at the pace of a fast-moving company. You'll manage a small, senior team of web engineers, owning the full stack behind our marketing web: CMS architecture, the publishing pipeline, the design system in code, and the campaign and launch experiences tied to model and product releases. This role sits inside Brand Creative and partners closely with design, editorial, marketing, and product growth engineering. We want a player-coach: comfortable setting technical direction without an existing playbook, staying close to the code and the launches, and building the tooling that lets designers and editors publish without an engineer in the loop. Responsibilities - Manage and grow the team: coach, hire, and set the bar for craft and reliability - Own the technical roadmap for anthropic.com and claude.com: CMS architecture, publishing workflow, performance, SEO health, localization, the production design system, deploy pipeline, on-call, and incident response - Run launch engineering for model, product, and campaign moments, shipping high-quality pages on tight, shifting timelines without heroics - Build the brand tooling layer: internal tools, integrations, and Claude-in-the-loop workflows that let designers, writers, and marketers publish safely without engineering as a bottleneck - Partner with design and editorial on creative technology, data visualizations, interactive explainers, campaign experiences, that need real engineering, not a template - Align web engineering work with Marketing, Product, Comms, and core Engineering, and say no to what doesn't move brand and business goals You may be a good fit if you have - 10+ years in software engineering, 5+ managing engineers, with that time spent as an engineering manager inside a marketing, brand, or design engineering organization specifically, not just a product engineering one - Owned a high-traffic marketing or brand web surface end to end: CMS, frontend, infrastructure, and the publishing workflow around it - Strong frontend depth yourself, TypeScript, React, modern CSS, a modern headless CMS, and a real preference for staying close to the code - Built tooling that made non-engineers faster and safer, with a concrete story of what changed - Shipped under real launch pressure with cross-functional partners, without dropping the quality bar - Comfortable operating at the seam between Design, Marketing, and Engineering - Deep interest in AI and excitement about putting Claude into the build and publish loop itself, not just on the page Strong candidates may also have - Held a Head of Web Engineering or equivalent platform lead title at a product company - Built localization and multi region web infrastructure - Come from a company where brand and product web sat close together: design
Applied AI Architect
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Native-level Japanese fluency and business-level English required - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams,
Staff Site Reliability Engineer, Core AI Infrastru...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Staff Site Reliability Engineer on the IT Operations team. This team builds and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you’ll be doing (ie. job duties) : - Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros. - Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments. - Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines. - Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence. - Develop full-stack applications that power internal AI products and infrastructure with Go or Python. What we look for in you (ie. job requirements): - 8+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools (Terraform, Ansible, Chef, Puppet, or Salt). - Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments. - Proficiency in at least one scripting or programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines. - Track record of leading incident response in environments with strict SLAs, including root cause analysis, blameless retros, and measurable reliability improvements. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Nice to haves: - Expertise with linux, bash, ruby, python and/or go - Expertise automating EC2 or containers deployment with terraform - Strong network security fundamentals - Experience managing and leveraging log aggregation - Experience working in a highly regulated environment</
Technical Director - AI Roblox Studio
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. About the role: Roblox Studio is the creation engine behind millions of immersive 3D games built by creators around the world. We are entering a major platform transition, evolving Studio into an AI-Native IDE where intelligent systems plan, act, validate, and iterate alongside creators to amplify their output. We are seeking a Technical Director, Applied AI to own the technical direction of the agentic AI systems embedded deeply into Roblox Studio. This is a hands-on individual-contributor role operating at the intersection of platform engineering, AI systems, and developer experience, where you will set the technical direction, design the architecture, and write the code. You will: - Design and build the agentic AI systems at the core of the AI-Native IDE (planning, execution, validation, evaluation) so they are production-grade and reliable. - Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow. - Own the quality bar and evaluation strategy , standing up quantitative and qualitative eval pipelines, including human-in-the-loop, so we ship with confidence. - Optimize these systems for latency, throughput, and cost (caching, routing, distillation, quantization). - Bring reusable patterns and best practices to teams across Studio, raising the applied-AI fluency of Studio engineering. You have: - 12+ years of engineering experience , including ownership of large-scale, long-lived platforms. - Deep, hands-on experience building LLM-powered and agentic systems in production, beyond chat-based interfaces. - Strong systems and software engineering skills , with the ability to design the architecture and write the code. - A track record of defining evaluation frameworks for AI product quality, combining automated metrics with human review, and optimizing inference for latency, throughput, and cost. - Strong background in developer tools or IDE-like platforms, with a proven ability to set technical direction and raise quality across multiple teams as an individual contributor. - Preferred Qualifications: Background in coding models or code-generati
Partnership Strategy & Operations Lead, Internatio...
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. Partnerships are one of the most important ways Anthropic brings Claude to the enterprises that will define how AI is deployed at scale. We're hiring a leader to run Partnership Strategy & Operations for our International business — the markets outside North America, spanning UKI, EMEA, India, Japan, and the broader APAC footprint. You'll be the strategic partner to International partnerships leadership: responsible for the regional GTM plan, the targets and the forecast, and the operating architecture that keeps the motion accountable. You'll also carry a horizontal mandate across the global Partnerships function, leading a small number of cross-regional initiatives that shape how the organization operates end-to-end. This is a builder's seat. You'll set the strategic agenda for the region, shape GTM across heterogeneous markets, and establish the operating system that turns ambition into a funded, sequenced plan. Success looks like an International partner motion that is strategic and accountable, under your leadership and horizontal initiatives that raise the bar globally. Key responsibilities - Author the International Partnership GTM strategy and the commercial thesis for how the region contributes to the global plan - Own the regional plan end-to-end: partner coverage, quota design, capacity modelling, and target-setting across markets - Own the regional forecast -stage definitions, conversion economics, and forecast accuracy you stand behind - Run the regional operating rhythm — weekly reviews, MBRs, QBRs, executive readouts — calibrated across time zones - Codify the regional operating handbook: SOPs, runbooks, and escalation playbooks localized to market realities - Lead cross-regional strategic initiatives that shape the architecture of the global Partnerships function (e.g., OKR design, investment cases, long-range planning inputs) - Co-own executive reporting for Partnerships across regions — materials for GTM leadership, the CEO, and the Board that are honest, defensible, and sharp - Maintain the global decision log and operating calendar: what's been decided, what it unblocks, and when the next forcing function hits Minimum qualifications - Experience in GTM Strategy & Operations, Revenue Operations, or Partner Operations at the regional or business-unit level - Track record of building and owning regional GTM plans end-to-end across international markets, with direct experience in at least two of UKI, EMEA, India, Japan, or broader APAC - Proficiency with the RevOps stack end-to-end — SQL, Looker or Tableau, and Salesforce or a comparable PRM - Demonstrated ability to lead horizontal strategic initiatives across a commercial organization (e.g., OKR frameworks, investment cases, executive narrative) Preferred qualifications - 7+ years of experience in GTM Strategy & Operations, Revenue Operations, or Partner Strategy & Operations - Experience as the partner to a regional or international sales or partnerships leader — trusted to carry the number,
AI Applied Scientist
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to improve Figma’s products. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains - You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation - Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features - Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems - Build evaluation systems to measure and improve quality of AI features in Figma products We'd love to hear from you if you have: - Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments - Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc - Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus - 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision - Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) - Experience communicating and working across functions to drive solutions While not required, It’s an added plus if you also have: - Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision - Experience in mentoring/influencing senior engineers across organizations - Expertise working on large scale and distributed AI training At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</
Network Operations Engineer, AI Networking
About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities - Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. - Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). - Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. - Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. - Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. - Support new AI cluster deployments, data center expansions, and infrastructure migrations in partnership with deployment and engineering teams. - Partner with cloud service providers (CSPs), colocation providers, Smart Hands teams, and hardware vendors to maintain production infrastructure. - Perform root-cause analysis (RCA) for production incidents and drive permanent corrective actions that eliminate recurring issues. - Build and maintain monitoring, telemetry, dashboards, and alerting to improve network observability and proactive issue detection. - Develop and improve operational runbooks, playbooks, troubleshooting documentation, and standard operating procedures. - Automate repetitive operational tasks using Python and infrastructure automation frameworks to reduce toil and improve efficiency. - Continuously identify opportunities to improve service reliability, scalability, operational maturity, and engineering efficiency. Qualifications - Bachelor’s degree in Computer Science, Network Engineering, or a related discipline, or equivalent practical experience. - 5+ years of experience operating large-scale data center, cloud, AI, or HPC network infrastructure. - Experience supporting production network environments with high-availability requirements. - Hands-on experience with one or more of the following platforms: Cisco NX-OS, Arista EOS, NVIDIA Spectrum / Cumulus Linux, or Juniper JunOS. - Strong knowledge of Layer 2 and Layer 3 networking, BGP, OSPF, ECMP, MLAG, LACP, VRFs, and VLANs. - Experience troubleshooting physical infrastructure, including fiber optics, transceivers, DAC/AOC cables, and high-speed Ethernet links. - Experience performing software upgrades, hardware maintenance, and production change management. - Excellent analytical and troubleshooting skills, with the ability to communicate technical risk clearly across teams. Preferred Skills - Experience operating AI or High-Performance Computing (HPC) network environments. - Experience with NVIDIA AI networking technologies and GPU infrastructure. - Experience supporting RoCE v2 or RDMA-based Ethernet fabrics, with a strong understanding of Priority Flow Control (PFC), Explicit Congestion Notification (ECN), Data Center Quantized Congestion Notification (DCQCN), Quality of Service (QoS), and lossless Ethernet networking. - Experience supporting 100G, 200G, 400G, and 800G Ethernet networks. - Experience with GPU platforms including NVIDIA HGX, DGX, GB200, or equivalent AI infrastructure. - Experience supporting distributed storage environments such as VAST, DDN, or similar technologies. - Experience working with cloud service providers such as AWS, Azure, or Google Cloud, and with third-party colocation providers. - Experience with network monitoring and telemetry technologies, including Prometheus, Grafana, gNMI, streaming telemetry, SNMP, or similar tools. - Experience developing automation using Python, Git, REST APIs, Terraform, or similar automation frameworks. Work Environment and On-Call - Participate in a 24x7 on-call rotation supporting mission-critical AI infrastructure. - Support time-sensitive production incidents, maintenance windows, capacity expansions, and network changes with a focus on service availability and minimal customer impact. - This role requires up to 30% travel to data center locations for new turnups and acceptance activities, as needed. 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.
Principal Technical Product Manager - VALORANT, AI...
Technical Product Managers combine deep technical knowledge and experience with product leadership capabilities which are needed to enable Riot Games to deliver key products and experiences to make it better to be a player. You will develop and execute strategies on Riot's products and technologies while leading diverse teams to deliver creative solutions to our most difficult technical and experiential challenges. As a Principal Technical Product Manager on VALORANT Studio Data, focused on Artificial Intelligence and Machine Learning applications, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing VALORANT'S entire product landscape to identify where Machine Learning and Generative AI can improve the players experience. You will serve as a key lieutenant to leadership across the game, identifying product opportunities that will empower fellow Rioters or surprise and delight players. You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an initiative, we deliver tangible value to our players and Rioters. Responsibilities: - Assess VALORANT's product landscape to identify high-impact opportunities where AI can enhance development or player experience - Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value - Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success - Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows - Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements - Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy - Translate empathy for internal developers and players into AI product experiences that solve genuine pain points Required Qualifications: - 8+ years of relevant experience in Technical Product Management or a related engineering/research field - Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI - Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority - Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads - Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics Desired Qualifications: - Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows - Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics - Passion for games and a deep understanding of the player experience For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, show
Systems Engineering Manager
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. WHO YOU ARE: We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact. REQUIREMENTS: - At least 10 years of industry experience, including 3 years experience in a leadership role - Experience building high-performance distributed systems at a large scale - Strong background in cloud infrastructure - Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - Proficient in systems-level languages such as Rust, C, C++, or Java
Strategic Account Executive, Asset & Wealth Manage...
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. As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) <li&g
Staff Data and AI Engineer - Enterprise
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services. The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions. The role will report to the Senior Manager, Enterprise Data and AI. Responsibilities: - Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems. - Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks. - Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications. - Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems. - Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns. Required Qualifications: - Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions). - 8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale. - Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale. - Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts. - Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms. - Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions. - Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns. <li&
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