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Principal Machine Learning Engineer, Content Safet...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Content Safety? As a Principal Machine Learning Engineer for Content Safety, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions, focused on critical and ambiguous safety challenges. You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning for content moderation. You will own the architectural and execution roadmap of massive-scale ML systems that mitigate violative UGC content before it impacts our community. You will feel a deep sense of responsibility in proactively protecting our community thoughtfully and fairly, while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for our broad community of over 100 million daily active users. You will: - Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale. - Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. - Lead Innovation: Oversee the adoption and safe deployment of innovative machine learning techniques (e.g., transfer-learning, self-supervised learning, quantization, LoRA, distillation). - Drive End-to-End Product Development: You will not just model; you will build. You will work cross-functionally to construct datasets from scratch where none exist, build auto-labeling pipelines, and ship solutions to solve novel technical problems. - Ship Code, Not Just Models: Expect to spend roughly 30-40% of your time on backend and integration work . You will be responsible for integrating your work into the production stack, leveraging modern AI coding tools (e.g., Cursor) to accelerate velocity and handle infrastructure complexity You have: - 8+ years of experience de
Staff+ Software Engineer, Safeguards ML Infrastruc...
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 Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own both the critical backend services that ensure safety on the token generation path, as well as the infrastructure that configures these systems during model provisioning for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We define and maintain SLOs, build the observability systems that surface problems early, and lead incident response when issues arise. We're growing the team and looking for Software Engineers with deep experience owning production infrastructure at scale. The ideal candidate has built and operated large-scale distributed systems under real production pressure and built platforms, tooling, and infrastructure that other engineers depend on. Familiarity with ML research or transformer architectures is not required -- you will learn that on the job. What we prioritize is distributed backend systems expertise and a track record of ownership over the production environment. Responsibilities: - Design, build, and deploy backend services that are critical safety pieces on the token sampling and generation path. - Own and operate the production serving infrastructure for those services across multiple deployment platforms (1P, AWS Bedrock, GCP Vertex). - Define and maintain SLOs, build observability and alerting systems, and lead incident response for infrastructure on the critical path of every Claude request - Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. - Reduce oncall and onduty toil by building automation, tooling, and self-serve workflows that minimize manual operations. Be the first user of the systems you build, running them for real workloads yourself before other teams depend on them. - Build and maintain a safety registry with full provenance -- tracking what is running in production, on which model, and when and by whom it was deployed. - Implement automated post-deploy validation to ensure correctness is consistent across platforms. - Work closely with ML researchers to productionize new safety techniques, translating experimental work into reliable, scalable production systems. - Contribute to the long-term goal of platform-agnostic deployment tooling that brings 3P platforms to parity with 1P operational maturity. You may be a good fit if you: - Are proficient in Python; experience with Rust is a plus but not required. - Have designed, built, and operated high QPS systems at global scale. - Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. - Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements. - Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand holding processes until automation and tooling can be built. - Have hands-on experience deploying
Research Engineer, Knowledge Foundations
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 Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows — searching, analyzing, and creating across the tools and documents knowledge workers use every day. As that work scales, the systems behind it need to be as rigorous as the research itself. As a Research Engineer on Knowledge, you'll design and run experiments that improve how Claude searches, retrieves, and reasons over information at scale. The work spans environment design, data curation, RL training, evaluation, and the infrastructure that supports it all. You'll move fluidly between these depending on what's blocking progress. You'll partner closely with researchers and other RL teams to ship capabilities that show up directly in Claude's behavior. As our training and evaluations continue to scale, we see a strong synergy between the capabilities our models learn, the tools we build for them to use, and the tools we build for ourselves to understand it all. We own the science behind superhuman epistemics and we ensure the quality of the stack that drives it. We understand that real ownership and impact comes as much through hardening and iterating on environments as it does creating new ones. Responsibilities - Design, build, and iterate on training environments and data pipelines that improve Claude's ability to reason over knowledge-intensive tasks - Run experiments end-to-end: form a hypothesis, build the infrastructure, train models, analyze results, and decide what to try next - Develop evaluations that meaningfully capture progress on search, retrieval, and reasoning quality - Identify failure modes in current model behavior and translate them into concrete training signals - Collaborate closely with researchers across RL Data, post-training, and product teams to align on priorities and ship improvements - Contribute to shared infrastructure and tooling that compounds the team's velocity over time - Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases - Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation You may be a good fit if you - Are a highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production - Experience designing, running, and analyzing ML experiments - Ability to work across the stack — from data pipelines to model training to evaluation - Have 5+ years of experience operating ML or distributed systems at scale - Comfort working with ambiguity and choosing the most impactful problem to tackle next - Clear written and verbal communication, especially when collaborating across time zones - Find genuine satisfaction and impact in making existing critical systems dependable &
Expert Gameplay AI Software Engineer
2K Sports Lab Who We Are Founded in 2023, 2K Sports Lab is the newest stand alone studio at 2K looking to push game development boundaries to bring 2K's next groundbreaking sports franchise to life. We're building a world-class team at our new Vancouver, BC location where our goal is to deliver an exceptional experience through bold ideas, technical excellence, and creative collaboration. We're seeking passionate and driven professionals across all areas of game development to help shape this ambitious vision. If you’re interested in tackling unique challenges and think you have what it takes to level up our team, we encourage you to apply! What We Need We’re looking for an Expert Gameplay AI Software Engineer to help build the intelligence behind our next AAA sports title. You’ll design and implement AI systems that drive team-based decision-making, play selection, positional awareness, and realistic athletic behavior in Unreal Engine 5. We need someone who combines deep algorithm expertise with a passion for team sports and a collaborative approach to working with designers, animators, and gameplay engineers. What You Will Do ● Architect and build AI systems for team-based sports gameplay in UE5 ● Design decision-making frameworks for play selection, formations, and tactics ● Develop positional awareness and spatial reasoning for AI-controlled players ● Optimize AI performance for multi-threaded, performance-critical environments ● Partner with designers, animators, and gameplay engineers to deliver features ● Mentor engineers and contribute to team-wide technical growth ● Write clean, performant, and well-tested C++ code ● Conduct code reviews to uphold quality and consistency What Will Make You A Great Fit ● 8+ years of software engineering experience in game development ● Expertise in C++ and Unreal Engine 5 ● Strong algorithm and data structure design skills ● Experience with multi-threaded programming in performance-critical environments ● Deep understanding of team-based sports and competitive game dynamics ● Excellent communication and collaboration skills across disciplines ● Bachelor’s degree in Computer Science or equivalent experience ● Passion for playing or watching sports Beneficial Qualifications ● Track record of shipping AAA sports or simulation titles ● Familiarity with modern console hardware and optimization techniques The pay range for this position in British Columbia at the start of employment is expected to be between $114,300 and $169,140 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business cons
GTM Systems Architect, Ripple Treasury (AI & Autom...
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Ripple is evolving how we go-to-market, and we are looking for a technical GTM Systems Architect to join the Ripple Treasury marketing team. This is a high-impact individual contributor (IC) role focused on building a modern "Marketing Operating System" that leverages AI and automation to scale our treasury solutions globally. You will be the architect connecting multiple tools (Gemini, Claude, CRM, and automation platforms) to create a seamless, high-velocity engine for marketing campaigns and programs. WHAT YOU'LL DO: - Build the Marketing OS: Design and maintain a unified marketing operating system that connects disparate tools to automate the end-to-end lifecycle of marketing programs. - AI Integration: Deploy LLMs (specifically Gemini, Claude, and GPT-4) as logic layers within marketing workflows to automate content personalization, lead research, and campaign triggers. - System Orchestration: Use automation platforms (e.g., Zapier, Make, n8n, or Clay) to build "waterfalls" that link Ripple’s internal data with external market signals. - Cross-Functional Engineering: Partner with Marketing Ops, Data Science, and Product teams to ensure the Marketing OS integrates deeply with Ripple Treasury’s core data infrastructure. - Process Automation: Replace manual marketing tasks with automated agents that handle everything from regional trend identification to actionable performance reporting. - Technical Optimization: Continuously experiment with new AI tools and prompt engineering techniques to improve the speed, cost-efficiency, and ROI of GTM initiatives. WHAT YOU'LL BRING: - The Hybrid Profile: 3-5 years of experience in GTM Operations, Growth Engineering, or RevOps, with a proven track record of building technical marketing stacks. - AI Expertise: Deep technical fluency with LLMs (Gemini, Claude) and an understanding of how to apply them to business logic and outbound automation. - Systems Thinking: The ability to treat a marketing strategy like a software stack—building repeatable, scalable, and automated workflows. - Technical Toolset: Proficiency in automation platforms (Make/n8n), data enrichment tools (Clay), and a strong understanding of API integrations. (Coding skills in Python or JavaScript are a major plus). - Analytical Rigor: A problem-solver who enjoys making decisions based on hard data and can provide technical recommendations for ongoing system improvements. - Communication: The ability to translate complex technical architectures into clear business outcomes for Ripple Treasury stakeholders. - Curiosity: A "builder" mindset with a commitment to staying at the forefront of the rapidly evolving AI and automation landscape. <div cla
Machine Learning Research Engineer, Agents - Enter...
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly into our training stack. - Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards. Ideally you’d have: - 1-3 years of building with LLMs in a production environment - Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. - Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years - PhD or Masters in Computer Science or a related field 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: $264,800 - $331,000 USD PLEASE NOTE: </strong&
Account Director, Large Enterprise (FSI)
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 Singapore. 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 a small number of key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to successful 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: - 10+ years selling platform-as-a-service and/or software-as-a-service to large Financial Services institutions in South East Asia - Familiarity with Financial Services industry trends - Deep understanding of Financial Services institutions' AI transformation priorities and challenges - Achieving revenue targets >$2M 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. - 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.
Forward Deployed Software Engineer - Seattle
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. 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.
Technical Program Manager, Recruiting Technology
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 growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer. We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress. You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting. This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org. Responsibilities - Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership - Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line - Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end - Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy - Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively - Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them - Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly - Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority - Have technical depth in systems integration: APIs, data flows between
Account Executive - Italy - Mid-Market
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 Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more Requirements - 4-6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environm
Applied AI Architect, Partnerships
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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - <p
Senior Manager, Corporate Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Corporate Accountant to join Anthropic’s Corporate Accounting Operations team. Reporting to the Director of Accounting Operations, this person will lead a team of accountants while staying hands-on — reviewing and preparing close materials, setting technical standards, and owning their own portfolio of accounts through close. This is a build role. The successful candidate will write and own the policies and SOPs their team operates against, design the controls framework, and continuously improve the processes underneath it — including using Claude and other tools to automate work that doesn’t need to be manual. We are looking for someone who has built accounting infrastructure from scratch in high-growth environments and wants to do it again at one of the most important companies in the world. The role requires an active CPA licence and roughly 10 years of progressive accounting experience combining public company (audit or in-house) exposure with time in a high-growth or startup environment. A Big 4 audit foundation is a strong signal. The role carries direct reports and sits at the intersection of close operations, technical accounting, SOX, process automation, and cross-functional partnership. Key Responsibilities Close Operations (~35%) - Own a portfolio of accounts through month-end and quarter-end close — reconciliations, journal entries, and variance commentary - Drive close acceleration by identifying bottlenecks and implementing process changes that reduce cycle time without sacrificing accuracy - Ensure all close deliverables are consistently audit-ready with clear documentation of positions and supporting evidence - Oversee SOX control preparation and execution across owned accounts; review control evidence and own timely remediation of gaps Technical Accounting & Policy (~20%) - Write, own, and maintain technical accounting policies and SOPs across the domain — drafting, evolving, and operationalising them as the business changes - Review technical accounting memos prepared by the team; ensure conclusions are well-supported and consistent with US GAAP - Collaborate with Technical Accounting on new or evolving standards and translate guidance into executable procedures - Own external audit responses within the domain; ensure timely delivery of supporting schedules and audit-ready workpapers Process Improvement & Automation (~20%) - Identify repetitive, rules-based tasks and build scalable solutions — including leveraging Claude — to automate or replace them - Document workflows and controls in a way that supports knowledge transfer, audit evidence, and system scalability - Contribute to ERP and systems implementations, translating accounting requirements into clear specifications and test criteria Team Leadership & Review (~15%) - Coach and develop a team of highly agile performers wit
Life Sciences Operator, Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing investment in building capabilities for drug discovery and development, we're looking for an exceptional biotech operator to help accelerate research in these areas. Our north star is to speed up progress in drug development by an order of magnitude, and this role is central to that goal: bringing sharp scientific judgment and operational expertise to identify where AI can have the greatest impact, and the drive to turn those insights into real results. This role is for an entrepreneurial operator with proven hands-on experience generating and translating therapeutic hypotheses in a biotech setting. You should be self-directed and multi-disciplinary - equally comfortable shaping the strategic direction of our life sciences work, partnering closely with our research, product, and go-to-market teams, or working hands-on with Claude, including tools like Claude Science, to explore hypotheses, design and analyze research, and demonstrate what's newly possible for scientists. The ideal candidate has grown up professionally in an organization that prioritizes scientific and executional rigor— for example, at a high-growth life sciences company or a leading science-focused investment or venture firm — and brings a rare blend of scientific depth, operating ability, and biotech fluency. Key responsibilities - Identify and prioritize the areas where AI can most meaningfully accelerate life sciences research - Turn promising scientific ideas into concrete, well-scoped efforts and see them through with speed and ownership - Translate ambiguous scientific questions into structured, testable plans with clear milestones - Work hands-on with Claude and Claude Science to explore hypotheses, design and analyze research, and show what's newly possible - Partner across research, product, and go-to-market to shape strategy and bring scientific work to life - Serve as a trusted scientific voice, communicating clearly with both technical and business audiences Minimum qualifications - A strong scientific and operating background with direct exp
Senior Security Engineer, AI Security
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About The Role Reddit is a community of communities. It is built on shared interests, passion, and trust and is home to some of the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. Reddit is hiring a Senior Security Engineer, AI Security to help teams build and ship AI-powered products securely. This role combines product security judgment with hands-on engineering to secure the systems, tools, and workflows behind Reddit's AI efforts. You will review AI-powered product designs, threat model LLM and agentic workflows, and build reusable security primitives that make secure AI development easier for teams across Reddit. This is not an MLE role, but you should be comfortable reasoning about how AI systems fail, how agents use tools, and how security controls fit into inference, retrieval, tool-use, and execution paths. The best candidates combine practical application security judgment with strong builder instincts. They can identify risks before launch, then turn repeated findings into guardrails, scanners, registries, sandboxes, libraries, policy checks, or platform controls that scale beyond one product team. What You'll Do - Review and threat model AI-powered product features, LLM integrations, agentic workflows, MCP servers, tools, plugins, retrieval systems, model outputs, and internal AI tools before launch. - Build reusable AI security primitives such as guardrails, scanners, policy checks, tool-use controls, registries, sandboxes, libraries, and workflow-native enforcement points. - Design security tooling that can sit in the inference, retrieval, or execution path to detect and prevent prompt injection, jailbreaks, tool misuse, data leakage, unsafe code generation, and suspicious agent behavior. - Partner with teams building products and platforms with AI to define practical security controls that fit how they design, build, and ship. - Proactively find, fix, and prevent AI security issues, while making any required product or engineering changes clear and low-friction for partner teams. - Turn one-off AI security issues into systemic fixes, paved paths, measurable controls, and reusable guidance. What We're Looking For - 5+ years of experience in product security, application security, software security, security engineering, backend engineering, or security platform engineering. - Strong application sec
Product Marketing Manager
Perplexity is revolutionizing how companies get work done. We are seeking a Product Marketing Manager to join our team and serve as the strategic bridge between our product reality and market impact. You will architect the external narrative of our products and amplify their value to inspire adoption and drive growth. If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you. RESPONSIBILITIES - Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it’s for, what it replaces, and why it wins. - Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch. - Make others materially better at their jobs. Equip customer-facing teams with "talk tracks that close," handling objections and providing competitive intelligence that reflects the actual battlefield. - Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype. - Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning. - Influence without authority. Lead through alignment by pre-wiring decisions, surfacing risks early, and managing trade-offs to keep product, sales, and marketing moving in lockstep. QUALIFICATIONS - 8+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches. - Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams. - Deep familiarity with the rules of traditional marketing with an interest in breaking them. - World-class storytelling skills grounded in data, with the ability to summarize a product’s value in a single sentence and defend it with evidence. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.
Strategist, Abu Dhabi
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Building custom AI applications that will impact millions of citizens and government employees - Generating high-quality training data for custom LLMs - Upskilling and AI advisory services to spread the impact of AI As a Strategist, you’ll be responsible for growing the Global Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in the public sector and selected accounts across the GCC. You will develop and execute on a go to market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions. This is a technical role that requires the following: - A deep interest in AI and data and the ability to articulate technical concepts in simple, precise language - Experience successfully navigating and partnering with governments and senior stakeholders across the GCC (in near term Qatar, mid-term UAE & KSA) - Working cross-functionally with Scale Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success - An ability to earn trust and develop close relationships with key decision-makers and influencers within accounts - An ability to uncover business challenges, shape and scope how AI can address these challenges, and build business cases to show the impact and value of Scale’s offerings At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI and be a founding member of our team, we’d love to hear from you. You will: - Work closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives and the EMEA Strategy team on overall GTM strategy across Abu Dhabi - Work with potential clients to identify impactful AI solutions and shape and scope their high level vision for AI - Demonstrate the value and impact associated with each AI application - Navigate complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal - Build trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects - Specific responsibilities include: - Customer Communications - Relationship Management - AI analysis and thought leadership - Financial modeling and commercial literacy - Pitch deck and proposal development - AI workshop design and execution - Creating demos of potential AI solutions using tools like Replit or Lovable - Measuring and communicating the impact and value of AI applications Ideally, you’d have: - 5+ years of public sector sales or consulting experience, with a minimum of 3 years operating in Abu Dhabi - Experience selling AI products or services - A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts - Experience in building GTM strategies to effectively scale growth - Experience in partnering w
Head of GovTech Sales
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Head of GovTech Sales at Anthropic, you’ll lead and scale our GovTech sell-to sales organization to drive adoption of safe, frontier AI across the public sector partner ecosystem—including Systems Integrators (SIs), Defense Industrial Base (DIB) contractors, and GovTech including ISVs, startups, SMBs that primarily serve the public sector. You’ll leverage your deep understanding of the federal partner landscape and proven sales leadership to build a high-performing team while maintaining executive-level relationships with C-suite leaders at the nation’s largest SIs and DIB primes. Working closely with GTM, product, and marketing teams, you’ll define and execute our go-to-market strategy for selling to and through public sector partners while maintaining the highest standards of security and compliance. Responsibilities: • Build, lead, and scale a GovTech sales team, including hiring top talent, setting clear performance expectations, and providing coaching and development • Develop and execute go-to-market strategies for selling directly to Systems Integrators, DIB primes, and GovTech ISVs—including market segmentation, competitive positioning, and revenue forecasting • Own GovTech revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression across the partner segment • Establish and cultivate C-suite and senior executive relationships at major SIs and DIBs, serving as Anthropic’s senior point of contact for strategic partner engagement • Win new business by helping SIs with prime contracts integrate AI into their technology stacks and consulting practices to differentiate their offerings, accelerate delivery, and integrate into government customer workloads. • Establish and refine sales processes, methodologies, and playbooks specific to GovTech segment. • Build and manage strategic relationships with cloud service providers (AWS, GCP) to align technical and commercial aspects of partner deals and create scalable go-to-market motions • Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams • Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction across the GovTech ecosystem • Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement across the partner sales organization • Represent Anthropic at industry events, partner summits, and with key stakeholders, establishing our brand as the trusted AI partner for GovTechs You may be a good fit if you have: • 10+ years of enterprise sales experience with 4+ years managing sales teams selling directly to SIs, DIBs, and GovTech ISVs, with a proven track record of scaling revenue and building high-performing organizations • Demonstrated ability to build, maintain, and leverage C-suite and senior executive relationships at major SIs, DIB primes, and GovT
Applied AI Architect, Large Enterprise
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Engineering Manager, UAE
About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and client-oriented Engineering Manager to lead the development of AI applications directly for UAE government agencies, based in the UAE. The UAE is one of the most ambitious AI-first governments in the world, with sweeping national initiatives around smart government, digital transformation, and sovereign AI — and this role puts you at the center of that mission. This role requires someone who is equally at home in a government stakeholder meeting as they are in a technical design review. You will own engineering delivery, embed deeply with UAE government clients, and help build Scale's presence as the leading AI partner for public sector transformation in the region. What You'll Do - Lead and manage a team of engineers building AI-powered applications for UAE federal and local government clients, ensuring high-quality delivery and strong client outcomes - Act as the primary technical point of contact for UAE government stakeholders — building trusted relationships, leading discovery workshops, and presenting solutions at the executive level - Design, build, and optimize full stack AI applications end-to-end, spanning data pipelines, ML model integration, APIs, and frontend delivery - Develop and deploy AI/ML solutions including LLM-powered applications, AI agents, and intelligent automation tailored to UAE government use cases - Architect and maintain robust API integrations between Scale's platform and UAE government systems and third-party services - Partner with product, go to market, and government counterparts to translate requirements into scalable engineering solutions and drive delivery from concept to production - Represent Scale AI in client-facing settings including workshops, technical demos, and executive briefings with UAE ministry and agency stakeholders - Manage delivery across multiple concurrent workstreams, balancing velocity and quality in a dynamic, fast-paced environment - Mentor and grow engineers on the team, building a culture of technical excellence, ownership, and client focus - Contribute to shaping team culture, engineering processes, and best practices as a key leader within the Global Public Sector organization What We're Looking For - 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development - 3+ years of engineering leadership experience, with a proven ability to manage and grow high-performing technical teams</
Staff Machine Learning Engineer - Game Tech Group,...
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently. As a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot’s ML platform. You will apply modern MLOps practices to improve reliability, scalability, and developer experience for teams building AI-powered products across Riot. You will report to the Engineering Manager. Responsibilities: - Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration - Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production - Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability - Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies - Improve developer experience by reducing operational complexity and simplifying platform onboarding - Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem - Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities - Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability Required Qualifications: - 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams - Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems - Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems - Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling - Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management - Experience building and operating services within distributed or service-oriented architectures Desired Qualifications: - Experience building ML infrastructure within a real-time, or latency-sensitive environment - Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability - Familiarity with agentic workflows and orchestration frameworks for LLM-bas
Senior Manager, Accounts Receivable, Credit & Coll...
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. Senior Manager, Accounts Receivable, Credit & Collections (Americas) About the role Anthropic is scaling rapidly, and so is our customer base. As our commercial business grows across the Americas, we need a senior leader to own credit and collections for the region. You will join our Invoice to Cash (I2C) team and be responsible for the end-to-end credit and collections lifecycle for Americas customers, from onboarding credit reviews through dispute resolution and cash recovery. This is a senior people leadership role with meaningful strategic scope and a strong automation mandate. Anthropic expects its finance function to operate at the frontier of what AI and modern tooling make possible, and credit and collections is a natural place to lead from the front. You will manage a team of managers and analysts, set the credit and collections strategy for the region, and own the automation roadmap that lets us scale cash collection without linearly scaling headcount. You will partner closely with Sales, Legal, Deal Desk, and Customer Success leadership, and help shape the processes, policies, and systems that allow us to extend credit responsibly and collect efficiently at enterprise scale. You will report into the Accounts Receivable Lead and work alongside regional counterparts in EMEA and APAC to drive consistency in how we manage customer credit risk globally. If you enjoy building operational rigor in a fast-moving environment, have a track record of scaling credit and collections functions through automation and AI, and care about doing right by customers while protecting the business, we would love to hear from you. Key responsibilities - Set the strategic direction for Americas credit and collections, including portfolio management, aging reviews, and cash forecasting for the region. - Own the Americas collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing. - Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses. - Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage. - Own credit risk strategy for new and existing Americas customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts. - Partner with Sales, Deal Desk, and Legal leadership on contract negotiations involving payment terms, credit exposure, and non-standard billing arrangements. - Drive timely resolution of material customer disputes in partnership with Billing Operations, Cash Application, and Customer Success. - Develop and refine credit and collections policies, playbooks, and escalation paths suited to a rapidly sc
Senior GL Accountant
Scale AI is seeking a highly motivated Senior Accountant to join our growing accounting team and assist in preparing day to day corporate accounting operations, supporting the month end close process, and helping to implement systems and processes that will support Scale as we continue to grow. You will also gain exposure to working with our international entities as we continue our expansion globally, working on some of the highest value aspects of the busienss. The ideal candidate thrives in a high-growth start-up, is detail-oriented, and has excellent interpersonal and communication skills. Additionally, the candidate has demonstrated the ability to build scalable cross-functional relationships through systems and process implementation. We hope you will join our team! You Will: - Prepare journal entries and day to day corporate accounting activities, support the month end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant - Build or enhance balance sheet account reconciliation workpaper including reviewing and performing some clean-up of historical reconciliations and related balances - Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package - Prepare documents supporting internal and external audits and ensure the successful completion of those audits - Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions to support the growth of the Company - Identify and drive process improvements to gain efficiencies and reduce close timeline - Develop, maintain and improve internal controls which relate to assigned areas Ideally You Have: - Bachelor’s degree in Accounting; CPA or in the process of working towards one is preferred. - 3+ years of relevant accounting experience; Combination of public accounting and industry experience preferred. - Strong knowledge of U.S. GAAP. - Experience with general ledger functions and the month end/year end close process is strongly preferred. - Experience with financial audit preparation is strongly preferred. - Proven proficiency of Microsoft Office Suite (Word, PowerPoint, etc); must be highly proficient in Excel. - Excellent writing, oral communication, analytical, organizational, and interpersonal skills with a high attention to detail. - Excellent problem solving skills; project management experience a plus, ability to work in a fast pace environment. Nice to Haves: - Direct accounting experience for any/all of the following areas: accruals, investment, internally use software, ASC 842 leases, cloud computing arrangement, stock-based compensation and/or consolidation and Fx. - Proficiency in SQL, NetSuite, FloQast, Coupa and Jira considered a plus 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,
STEM Fellow - Human Frontier Collective (US)
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 United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. - 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 b
Member of Technical Staff - Inference Research
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: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU'LL DO: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for. - Train custom speculators against real production traffic and feed what you learn back into target models -- acceptance length is the metric that decides the win. - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research. - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine. - Help shape the research agenda. None of the above is prescriptive; your work will help guide our future. REQUIREMENTS: - A research-leaning or systems background in LLM inference, with work you can point to. - Fluency in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling. - A record of shipping research or systems that other people build on, whether in a lab or in industry. - The drive to independently take a research bet from idea to result, working in the open with the rest of the team. - Ability to work in-person, i
Pricing Strategist
About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, GTM, and Finance to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive on this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Strategist with hands-on consumer pricing experience to shape how we price, package, and monetize our products across our consumer offerings. You’ll work closely with senior leaders across Product, GTM, and Finance to define pricing approaches, improve commercial decision-making, and bring more rigor to how we monetize our offerings. You should be comfortable building monetization frameworks and commercial policies, analyzing tradeoffs, supporting and driving high-impact decision-making. You should also care deeply about the customer perspective and believe that strong pricing reflects a real understanding of customer value, needs, and friction points in order to build pricing that is clear, fair, and aligned with how customers experience our products. This role will report to the Head of Product Pricing for Chat & Codex. What you’ll do - Develop pricing and packaging strategy across subscription tiers, usage limits and entitlements, credits and overages, and emerging monetization models, balancing customer value, growth, and unit economics. - Develop innovative commercial constructs to better serve our customers. - Partner with Product, GTM, and Finance leaders to ensure pricing aligns with product value, the roadmap, commercial motions, and overall growth plans. - Develop clear recommendations that are grounded in customer preferences, product value, and market dynamics. - Establish lightweight but effective pricing governance, including decision frameworks, approval processes, and performance tracking. You might thrive in this role if you - Have 6+ years of experience in a strategy role (e.g., consulting or business operations). - Have 3+ years of hands-on consumer pricing and monetization experience, with a track record of developing and launching self-serve subscription or usage-based offerings; experience with sales-led motions is a plus. - Are deeply familiar with various monetization models, including seat-based subscriptions and usage-based pricing models. - Experience pricing consumer hardware, connected devices, or hardware-plus-software/subscription bundles is a plus. - Can balance customer value, product strategy, and commercial outcomes in a thoughtful way. - Are comfortable influencing senior cross-functional stakeholders and navigating ambiguous decisions. - Are a self-starter who can roll up their sleeves and operate comfortably in a fast-paced, high-ambiguity environment. 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 AI/ML engineer
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior Software Engineer with deep expertise in AI/ML infrastructure to join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What you’ll do - LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x - Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks - Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable, reproducible evaluation data - Infrastructure: maintain Terraform-managed AWS infrastructure (EKS, S3, IAM), Databricks AI Gateway, and CI/CD pipelines (GitHub Actions) with evaluation gates and progressive rollout - Cross-Functional Impact: collaborate with Product, Security, Analytics, and Medical teams, develop internal SDKs and APIs consumed by 5+ teams, and engage directly with technology partners on pre-release capabilities Experience and skills Must have: - Engineering maturity: 7+ years of software engineering, 4+ years focused on ML/AI platforms - LLM experience: recent hands-on work with at least one of: fine-tuning, prompt engineering, LLM evaluation, or model serving - Technical stack: strong Python across production services and data pipelines, data engineering fundamentals (Spark, Delta tables, Parquet) - Platform and infrastructure: Databricks (MLflow, Unity Catalog, Model Serving), AWS (EKS/Kubernetes, IAM), Terraform, GitHub Actions - Cross-domain flexibility: comfort working across ML, data engineering, and infrastructure. You don’t need to be expert in all three, but you contribute wherever the team needs it Nice to have: - LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation)
Staff Machine Learning Engineer, Ads Measurement M...
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 . Reddit has a flexible first workforce! The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. The Measurement Modeling team owns all the Machine Learning solutions for Ads Measurement, including Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, Modeled Conversion, and new Measurement Modeling Initiative. As critical and complex part, in Identity Modeling, we are building new advanced machine learning solutions, the space resides in intersection of ads stack that interacts with various upstream and downstream systems, it serves critical business needs for monetization and consumer as well, including Measurement & Reporting, Experimentation, Personalization, Delivery, and Safety etc, requires major XFN as well as cross team/org collaborations. We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology. Our diverse group of engineers, product managers, data scientists, and ads specialists is excited to welcome you on board! Minimum Qualifications: - 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale - Demonstrated experience architecting and building ads measurement modeling solutions leveraging advanced machine learning techniques - Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution - Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference - Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink) - Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal) - Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution Responsibilities: - Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models - Design and train advanced ML mod
Engineering Manager, GPU (ML Accelerator)
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 performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: - Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems - Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor - 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 - Coach and support your reports in understanding, and pursuing, their professional growth - Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: - Have 1+ years of management experience in a technical environment, particularly performance or distributed systems - Have a background in machine learning, AI, or a similar related technical field - Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development - Excel at building strong relationships with stakeholders at all levels - Are a quick learner, capable of understanding and contributing to discussions on complex technical topics - Have experience managing teams through periods of rapid growth and change - Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: - High performance, large-scale ML systems - GPU/Accelerator programming - ML framework internals - OS internals - Language modeling with transformers 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: $500,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an
Account Executive - Southeast Asia
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 founding Account Executive in Singapore who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more Requirements - 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targe
Senior Software Engineer, GenAI Platform
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 . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, you will lead the development of a large-scale GenAI Platform at Reddit. - Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. - Designed and developed ML and Generative AI systems in cloud-based production environments at scale. - Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines. - Implement and operationalize agentic AI workflows with tool use using frameworks such as LangChain and LangGraph. - Drive adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management. - Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production. - Strong ownership mindset and platform thinking. - Ability to lead AI platform delivery from concept to production. Who You Might Be: - 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. - Have experience operating orchestration systems such as Kubernetes at scale - Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more - Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc. - Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders - Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle. - Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus &
Python OSS Engineer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python. About the role In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred) We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package. - Improving the core abstractions and runtime of the langchain and langgraph packages - Improving documentation https://python.langchain.com/docs/integrations/providers/ - Answering user questions and resolving issues - Use langchain to build example applications What You'll Do - Improve the core abstractions and runtime of the LangChain and LangGraph packages - Improve documentation across the LangChain ecosystem - Answer user questions and resolve issues from the community - Use LangChain to build example applications that demonstrate how to build production AI systems What You'll Bring - 5+ years of software engineering or applied machine learning experience - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision Compensation - Annual salary range: $160,000- $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Applied AI Architect, Industries
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role 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 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 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. 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 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 German speaker with fluent English proficiency - 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, and more - Strong technical communication skills wi
Field Marketing Lead, EMEA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Field Marketing Lead to build and scale our field marketing and demand generation capabilities across EMEA. As a founding member of our EMEA field marketing function, you'll establish the programs and infrastructure that drive pipeline and revenue growth across diverse European markets, while supporting our mission of ensuring safe and beneficial AI development. This role requires a sophisticated understanding of B2B marketing with demonstrated success in field marketing and working account-based marketing teams to create a regional growth engine. You'll develop and execute comprehensive strategies that drive revenue growth in partnership with Sales, Segment Marketing, Product Marketing teams, creating compelling programs and flywheel motions that empower the EMEA Sales team to achieve their revenue targets. EMEA represents both our biggest international opportunity and our most complex challenge—a region where data sovereignty requirements, diverse regulatory frameworks, and sophisticated local competitors demand a fundamentally different approach than what's worked in North America. You'll work closely with EMEA sales leadership, the global field marketing team, and cross-functional partners to ensure programs directly support revenue growth and strategic account advancement. Responsibilities - Build and lead the EMEA field marketing function, establishing scalable frameworks and processes from scratch in the region - Drive field marketing initiatives across enterprise, while building scaled programs for startups, adapting strategies for diverse European markets and buying behaviors - Create and implement field marketing programs including executive roundtables, customer events, industry conferences, partner programs, and ABM activations - Partner closely with EMEA sales leadership to align field marketing programs with territory and account-specific goals that directly achieve pipeline and revenue goals - Establish measurement frameworks including lead scoring, attribution models, and ROI reporting to demonstrate marketing's impact on revenue - Evaluate and select premium third-party events that align with business goals and create high-impact activation strategies - Collaborate with global Field Marketing and Segment Marketing teams to ensure EMEA programs align with company-wide strategy while meeting local market needs - Coordinate with EMEA Solutions Marketing and Product Marketing to ensure consistent messaging and positioning in all regional programs - Manage regional resources including building relationships with key partners, vendors, and industry organizations across EMEA - Build and manage a regional field marketing budget with strong financial discipline and ROI focus - Drive continuous improvement through post-program analysis, stakeholder feedback, and data-driven optimization You may be a good fit if you - Have 10+ years of B2B enterprise marketing experience with blended expertise in field marketing, account-based marketing, demand
Strategic Sourcing Manager, Compute Infrastructure
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry. About the Role We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing. As part of the Infrastructure Strategy & Delivery organization supporting Industrial Compute, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal & power delivery components. This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain. Key Responsibilities - Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership. - Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning. - Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems. - Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness. - Partner cross-functionally with engineering, program delivery, legal, operations, and finance to ensure sourcing strategies align with technical and program objectives. - Drive competitive sourcing events, commercial structuring, and vendor accountability across the compute bill of materials. - Provide technical and commercial evaluation guidance during supplier selection and product qualification cycles. - Deliver portfolio-level visibility to executive stakeholders on progress, risks, and decision points with clarity and precision. Qualifications - 10+ years of strategic sourcing and vendor management experience, with deep expertise in compute systems and hardware supply chains. - Demonstrated leadership sourcing for high-performance compute, accelerators, and data-center server platforms — ideally including OEM/JDM/ODM engagement. - Technical fluency in compute architecture, including GPUs, CPUs, server platforms, rack systems, cold-plate & liquid-cooling design, and associated power delivery subsystems. - Proven success negotiating complex capital procurement agreements and supplier capacity programs at hyperscale. - Ability to influence cross-functional technical and executive teams and drive alignment in fast-moving, high-stakes environments. - Strong analytical decision-making and commercial structuring skills, balancing speed, cost, technical requirements, and strategic risk. - Experience with global manufacturing, supply chain readiness, long-lead materials, and ramp-to-volume for high-complexity hardware. - Familiarity with hyperscale data-center operational requirements, testing/qualification cycles, and integration workflows. - Procurement, supply chain, program management, or data-center hardware certifications are advantageous. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Engineer, Life Sciences
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications - Demonstrated experience training and evaluating large language models - Proficiency in Python and familiarity with modern ML development practices - Experience building and managing data pipelines for large-scale datasets - Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments - Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications - 8+ years of machine learning experience - Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields) - Experience working with large-scale biological datasets - Published research or practical experience in scientific AI applications or long-horizon reasoning - Background in reinforcement learning and/or pretraining - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale - Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing - Contributions to open-source scientific software or databases 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: $350,000 - $500,000 USD Logistics Minimum education: Bachelor’s deg
General Manager - Germany
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. This is an in-country role. ABOUT THE ROLE We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall country strategy and deliverables, in line with the company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the country. As part of the role, you will: - Develop and execute our Country strategy, including sales, customer delivery, KPI setting and hiring - Design the optimal pipeline to reach our ambitious sales targets in the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market - Hire the founding country team responsible for sales and implementations - Define event priorities and where to invest for brand awareness - Represent ElevenLabs in events and media appearances - Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team - Ideate, own and drive big bets in the country REQUIREMENTS - 15+ years of experience leading teams and highly complex projects - Background in consulting and sales - Deep expertise in deploying technical products and/or solutions to enterprises - Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to produce results - Outstanding communicati
Field Marketing & Events Lead, Public Sector
At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to build and develop its field marketing and event program within the public sector space, we are looking for an Events & Field Marketing Manager to support our U.S. Federal Government team in their event and field marketing initiatives including but not limited to third-party trade show sponsorships, Scale hosted executive events, Scale hosted practitioner events and meetups, and our annual flagship AI Leadership Summit. This role will also work closely with our commercial business units and enterprise customers. You will join a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation and pipeline growth, and plan event programming with the largest names in AI. The successful candidate will have a solid understanding of the U.S. Federal Government markets, strong project management skills, a strategic mindset, and a passion for public sector work. You will: - Execute all planning and logistics for all federal executive dinners, meetups, happy hours, and sponsored trade shows - Establish event activities in line with sales goals and deal acceleration, prioritizing goals from the Federal team leadership and Business Development team on event location and audience - Manage contractor relationships including event production firms and outside vendors, and event budgets - Align with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting - Track event campaign performance, measuring ROI, results, and metrics through Salesforce - Own all aspects of Scale’s annual hosted federal conferences - Support the AI Governance and Policy portion of Scale’s annual AI Leadership Summit, including content, speaker logistics, agenda, and overall in-person and remote event experience - Support Scale’s annual presence at the World Economic Forum in Davos, Switzerland - Interface with external executives and their teams in order to secure speakers and support their presentation planning for Scale hosted events and conferences - Willingness to travel up to 50% Ideally you’d have: - Minimum 8+ years experience in event marketing or event management with Federal marketing - Experience managing large scale events, end to end - Ability to manage and multi-task on multiple projects and events while liaising across internal teams with multiple stakeholders - Impeccable attention to detail and proactive approach to troubleshooting - Excellent written and verbal communication skills - you will be interfacing with the world’s leading executives and their teams Nice to have: - Experience with Hubspot, Salesforce, and Outreach - Collaborative and positive attitude, with ability to work across teams including with executive leadership and external executives - Community experience a plus Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum a
Senior Staff+ Infrastructure Engineer, Cluster Inf...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities - Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning - Partner across teams to ensure new compute capacity is ingested on time - Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity - Collaborate with security owners to ensure clusters are provisioned secure-by-default - Define and drive strategy on cluster scalability, homogeneity and fault tolerance - Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 12+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) - Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) - Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) - Experience with cluster and host networking: CNI (Cilium), eBPF,
Support Delivery Lead, EMEA - Dublin
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 leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in Dublin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities: - Build and lead a team of the foremost technical and troubleshooting experts at OpenAI. You are the last line of defense before the core Engineering team. - Partner with engineering and customer teams to build out our systems to ensure that we resolve escalated issues. You will engage with senior leaders internally or with customers and coordinate resources across multiple teams as needed. - Take learnings from resolving customer issues and operationalize those solutions at scale, iterating on internal processes with Engineering/Go-To-Market/vendor partners, influencing product roadmaps, and improving overall customer experience with support. - Manage scaling and operations of the team in order to deliver 24x7 coverage globally, including holidays and weekends based on business needs. - Build strong relationships with our customers to ensure their application’s success. - Ensure the team is assisting broadly where needed beyond the ‘core remit’ of the team - Be a part of the broader leadership team in Support. You will have the opportunity to build not just within this team, but across the organization. Qualifications: - Have 4+ years of experience leading technical support engineering or software engineering teams, ideally in high-scale or fast-paced environments. - Have 8+ years of experience in technical support engineering or software engineering. - Have experience leading highly skilled engineering teams and are comfortable empowering senior ICs while setting a clear technical and operational direction. - Bring deep technical experience in application development or infrastructure, paired with a strong instinct for operational systems and customer reliability. - Are a strong cross-functional partner with a proven ability to influence engineering and product roadmaps through support-driven insights. - Take an automation-first approach and have a track record of implementing tooling or processes that scale support impact through AI and systems thinking. - Thrive in ambiguous environments and balance strategic leadership with a willingness to get into technical details when needed. - Are energized by customer impact and excel at building trust with strategic accounts during critical issues or periods of transformation. - Are mission-driven, collaborative, and operate with high integrity and humility. LI-NM2 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 Unreal AI Developer
Senior Unreal AI Developer at welevel GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 06.06.2026.
Platform Security Engineer, OpenBMC
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 standing up a founding team to own the OpenBMC-based management firmware running across its server fleet. You would be one of the first engineers on it. That means production firmware and manageability features (board bring-up through production) on one side, and hardening that firmware against sophisticated adversaries on the other. Security is a first-class constraint in everything you ship: you'll write firmware to a high security bar and partner closely with our firmware security and hardware engineers on secure boot, signing, and attestation. Key responsibilities Production and manageability: - Design, build, and ship OpenBMC firmware and manageability features for x86 and Arm (including GPU) platforms, from bring-up through production, using Yocto/OpenEmbedded - Build the management stack on DMTF/OCP standards (MCTP, PLDM, SPDM, Redfish, RDE) and IPMI/KCS: sensors, telemetry, inventory, logging, RAS - Implement BMC-to-BIOS/host communications, eSPI/LPC, thermal/fan/power management (PMBus) - Work the hardware/firmware boundary: I2C/I3C, SPI, PCIe, SMBus, device trees, U-Boot, Linux Security and hardening: - Own the BMC security posture: secure and measured boot, root of trust, attestation (SPDM), authenticated update (PLDM FW Update), rollback protection, attack-surface reduction - Lead threat modeling and secure design reviews; run coordinated vulnerability disclosure with vendors and the upstream community - Build verification tooling: static analysis, fuzzing, firmware extraction, CI gating Minimum qualifications - Strong technical cross-functional leadership skills, direction setting - Hands-on OpenBMC/BMC firmware experience on x86 and/or Arm, from bring-up through production with hands-on D-Bus/sdbusplus - Strong C/C++ and Python, deep Linux user-space/kernel fundamentals, and Yocto/OpenEmbedded proficiency - A security mindset applied to firmware, not bolted on afterward - Upstream contributions to OpenBMC, U-Boot, DMTF, or OCP - Working knowledge of out-of-band and in-band management, the relevant DMTF specs, and the device interfaces they run over - Strong debugging and a track record of shipping reliable, well-tested code. - Clear communication across internal teams and external vendors - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks, specifically SP 800-193 and 800-147/155 Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Hardware roots of trust and attestation: Caliptra, OCP S.A.F.E., TPM/HRoT, SPDM - Memory-safe systems code in Rust or Zig - Firmware vulnerability resea
B2B Marketing Lead - DACH
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking a seasoned Growth Marketer to lead our expansion into the DACH Region. We need a builder who is comfortable with the "zero-to-one" phase of regional growth. You will be the local "Source of Truth" for marketing, acting as a creative, an analyst, and an operator all at once. You should be someone who enjoys the complexity of multi-lingual markets and has the drive to implement projects from start to finish while owning the outcome entirely. YOUR RESPONSIBILITIES - Regional Growth Engine: Make sure DACH B2B grows through aggressive lead generation and brand awareness. - Outbound Strategy: Build and execute complex, multi-language outbound sequences that cut through the noise. - Local Events: End-to-end ownership of local industry events, user conferences, and webinars in the region. - Cross-Functional Synergy: Collaborate with performance marketing on ABM initiatives and localized retargeting. - Analytics & Reporting: Monitor campaign performance, produce executive-level reporting, and recommend data-driven optimizations. - Localization & Messaging: Adapt ElevenLabs’ global voice to resonate deeply with the Spanish and Italian business cultures. REQUIREMENTS - Native German speaker. - Fluent English speaker. - Ownership Pedigree: You have implemented marketing projects from start to finish and held yourself accountable for the ROI. -
Senior Support Engineer - Dublin
About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in Dublin, Ireland. 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: - Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. - Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era. - Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time. - In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes. - Design and refine incident response processes and documentation across strategic customers, engineering and support teams. - Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows. - Provide support coverage during holidays and weekends based on business needs. You might thrive in this role if you: - Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success. - Have 5+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level. - Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation). - Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis. - Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools. - Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications. - Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident. Compensation, Benefits and Perks This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position. Total compensation includes an annual salary, generous equity, and benefits. - Medical, dental, and vision insurance for you and your family - Mental health and wellness support - PRSA plan with 8% employer matching - Unlimited time off - Annual learning & development stipend ($1,500 USD equivalent per year) LI-NM2 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Finance Lead - Core
PERPLEXITY IS LOOKING FOR A DYNAMIC AND ANALYTICAL INDIVIDUAL TO JOIN OUR STRATEGIC FINANCE TEAM TO HELP OWN OUR CORE FINANCIAL MODELS AND ANALYSIS, DEVELOP PLANNING PROCESSES, AND BE THE GO-TO EXPERT ON ALL THINGS RELATED TO OUR FINANCIAL AND OPERATIONAL PROJECTIONS. ABOUT THE OPPORTUNITY: This role will have a variety of responsibilities but we’re seeking a sharp, creative individual to join our Strategic Finance team to own the core financial responsibilities. You’ll work closely with the business, finance, product, and engineering teams to help ensure our corporate financial models accurately reflect the state of the business and goals. The ideal candidate combines strong financial rigor with intellectual curiosity about AI technology, bias for action, and creativity in problem solving. RESPONSIBILITIES: - Develop and own core financial models used for strategic planning and decision-making, including aggregating projections and feedback across all major teams in the organization - Develop and maintain analysis and projections related to various aspects of the business, ranging from headcount planning, growth, infrastructure costs, and more - Lead various special projects required by C-suite and VPs related to corporate finance and accounting - Help develop and build scalable processes and well-defined metrics that are used by leadership and key teams to determine the state of the business - Independently identify areas within the organization that need analytical support and use analysis to drive clarity in critical decision-making WHAT YOU’LL BRING: - At least 4+ years of strategic finance / FP&A role at another growth-stage startup - At least 2 years of banking experience at a top-tier firm - Experience in building financial analysis and planning and implementing various processes to improve visibility across spend, budgeting, and procurement - Strong financial acumen and ability to work cross-functionally across various engineering, product, growth, and operations teams - Ability to take ownership and execute on ambiguous tasks with first principles mindset - Comfortable working in a fast-paced, dynamic environment
Critical Facilities Lead, Compute Infrastructure
About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Critical Facilities Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities - Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. - Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. - Oversee installation, commissioning, and operational readiness of large-scale data center campuses. - Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems. - Develop on-site operations staffing strategy. - Develop and enforce procedures for planed and unplanned downtime and SLAs for critical facility components. Qualifications - Have 10+ years of experience in large-scale data center facility operations, commissioning, or critical infrastructure engineering. - Are deeply familiar with liquid-cooled IT systems, including CDU and in-rack/in-row manifold design, bring-up, and servicing. - Enjoy defining and improving infrastructure processes at the intersection of construction, hardware, and operations. - Are comfortable owning infrastructure from deployment to long-term maintenance and failure recovery. - Have experience responding to field issues and managing reliability through well-defined operational processes. 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.
Data Scientist, Policy
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 one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world. You'll sit at the intersection of data science and public affairs, transforming internal product usage and survey data into clear, accurate, and consistent evidence the Policy team can use to inform its positions, demonstrate Anthropic’s relevance to policymakers, and measure the impact of its work. Your analyses will directly inform how legislators, regulators, and the public understand Anthropic's footprint and contribution. This is a highly cross-functional role that is foundational to Anthropic's mission of bringing powerful AI to the world in a way that benefits humanity. Key responsibilities - Partner with product and business teams across the company to produce supporting analyses and data collateral for specific policy position papers and partnership conversations - Determine which metrics faithfully represent our company to legislators, regulators, and the public - Own the dashboards and pipelines that keep externally-shared numbers consistent, so the Policy team can move quickly without creating discrepancies - Use AI tools to aggregate news, policy developments, and other public data sources to track trends and provide a clear picture of the evolving regulatory landscape - Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns - Design and implement policy analyses to support internal position development or measure the impact of policy implementation for external audiences Minimum qualifications - Proficiency in Python, SQL, and data analysis tools, with experience working with external and public data sources - Experience producing analysis that reaches external audiences such as policy, communications, investor relations, public affairs, or published research - Applied causal inference using quasi-experimental designs (e.g., difference-in-differences, regression discontinuity, synthetic control, instrumental variables, or matching) to measure policy or program impact from observational data - Demonstrated ability to translate complex analyses into clear, actionable recommendations for audiences with differing levels of technical fluency Preferred qualifications - 6+ years of hands-on data science experience - Direct experience supporting a policy, government affairs, or regulatory team with data and analysis - Familiarity with investor-relations or financial-disclosure data standards and the consistency requirements they entail - Comfort operating in ambiguous, fast-moving environments where creating clarity and driving progress is part of the role - A genuine interest in Anthropic's mission of building safe and beneficial AI Deadline to apply: None. Applications will be
Senior Data Scientist, CX Analytics
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 . As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality. What you'll do: - Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals. - Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement. - Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure. - Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences and improve business outcomes. - Maintain a high bar for statistical rigor across CX's analytics function, ensuring experimentation, causal analyses, and model outputs meet the standards required for executive reporting and regulatory defensibility. Required Skills and Experience: - A BA/BS in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) with 5+ years of relevant experience, or a PhD in a quantitative field with 3+ years of relevant experience. - Demonstrated experience building revenue attribution or causal impact models and driving data science projects through ambiguous problem spaces in a consumer-facing or operational analytics context. - Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to real-world business problems, with a high bar for production-grade accuracy and evaluation rigor. - Experience designing and deploying LLM-based classification or NLP pipelines for operational or customer-facing use cases. - Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, con
Senior Technical Program Manager, Robotics
Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation. We are seeking a seasoned, highly collaborative Technical Program Manager (TPM) to serve as the critical bridge between our Engineering and Operations organizations. In this high-impact individual contributor role, you will be the first TPM dedicated to driving cross-functional alignment from initial system design through to large scale production. As the connective tissue between engineering teams and global operations, you will own the lifecycle of complex, multidisciplinary programs. You are someone who thrives in ambiguity, speaks fluent "eng" and "ops," and can seamlessly translate technical constraints into operational realities (and vice versa). You will: - Cross-Functional Program Leadership: Serve as the primary driver of alignment between all major stakeholder groups (Engineering, Operations, Solutions, Product, GTM, etc.), ensuring shared milestones, OKRs, and clear ownership. - Program Lifecycle Management: End-to-end ownership of complex programs. Define program scope, build comprehensive schedules, manage dependencies, and aggressively mitigate risks to ensure on-time delivery. - Communication & Visibility: Establish a single source of truth for program status. Author clear program documentation, maintain schedules, and provide regular, high-impact updates to executive leadership. - Navigating Ambiguity & Pathfinding: Thrive in a highly fluid, rapidly evolving environment. As the first cross-functional TPM in this space, you will frequently face ill-defined problems, shifting priorities, and missing processes. You are expected to proactively chart a path forward, make sound decisions with incomplete data, and establish structure where none exists. - Tactical Execution & Grit: Operate with a deep, hands-on approach. You are not just a high-level coordinator; you are willing to roll up your sleeves and dive into the details—whether that means managing hardware release schedules, running sprint planning meetings, or manually auditing data to solve a critical issue. - Process Establishment: Design and implement scalable frameworks, tools, and communication cadences to optimize how our Eng and Ops teams collaborate. Ideally you'd have: - Experience: 5+ years of experience as a TPM, Product Manager, or Lead Engineer managing complex, deeply technical programs. - Cross-Functional Mastery: Demonstrated success managing programs that span both engineering / R&D and operational environments. - Problem Solving: Exceptional ability to navigate ambiguity, build structure out of chaos, and influence senior stakeholders without formal authority. - Technical Literacy: Strong technical foundation allowing you to actively participate in architecture reviews and credibly challenge/evaluate technical trade-offs with both HW and SW engineers. - Education: Bachelor’s degre
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