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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 Ramp , 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've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. What You'll Work On: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment You May Be a Fit If: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers Nice-to-Have: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. Why This Role: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. - Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities - Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls - Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight - Build and operate the zero-trust access gateway that fronts Anthropic's internal services - Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls - Own cryptographic frameworks and libraries - Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic Minimum qualifications - 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently - Strong programming skills in Go, Rust or Python - Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control - Hands-on experience with PKI, X.509, mTLS and workload identity - Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice - Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them - A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams - A strong sense of developer experience - Clear communication across all levels of the organization - Passion for AI safety and the role security engineering plays in building trustworthy AI systems Preferred qualifications - Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption - Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy - Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement - Maintained or contributed to open-source cryptographic libraries - Designed authorization systems using policy languages or relationship-based models - Familiarity with ML infrastructure (training, inference serving) 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: $32,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Ramp , 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've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. What You’ll Work On: - Improve the developer and agent experience of our SDK and CLI - Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation You May Be a Fit If: - You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers - You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity - You understand async programming, concurrency management, and their pitfalls - You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems - You’re able to participate in our on-call rotation and respond to production incidents - You’re able to work in person in our Stockholm office Nice-to-Have: - Experience building developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data, ML, and AI tools and workflows

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities - Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution - Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination - Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention - Design resource management and autoscaling so that compute follows demand as a run's needs shift - Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results - Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely - Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism - Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications - Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go - Experience designing, building, and operating large-scale distributed systems in production - Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery - Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network - Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally - Strong written communication, including design documents and incident writeups Preferred qualifications - Experience running ML training or inference infrastructure at scale - Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration - Experience building schedulers, autoscalers, or resource management systems - Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale - Experience with high-performance networking, RDMA, or collective communication libraries - Experience building observability or automated remediation for large fleets - Experience with async Python frameworks such as Trio or asyncio - Familiarity with reinforcement learning or large language model training workloads Representative projects - Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains - Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work - Scale environment execution substantially without increasing tail latency for the training step - Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts - Build a diagnostics system that explains why a run's throughput dropped and proposes a fix - Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur - Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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 equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The SandboxAQ AI team is looking for a hands-on Manager, AI Engineering to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects: - Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc. - Quality: Measuring ROI of agents and suggesting improvements - Collaboration: Bringing humans and agents together into one place with shared context A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production. This is a hands-on leadership role where you’ll break things, fix them and then harden them for good while also leading a small team of engineers. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles. You will help set technical direction, raise the quality bar, mentor team members, and ensure that the team moves quickly from research insight to real-world product impact. We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. Key Responsibilities - Lead and grow a small, highly technical team while remaining deeply involved in hands-on engineering and research. - Set technical direction, break down ambiguous problems, establish practical plans for fast, high-quality execution, and build a culture of ownership, low-ego collaboration, thoughtful experimentation, and high standards. - Create new agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, while staying current on the latest agentic developments and identifying new opportunities. - Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine-tuning, and rapidly iterate on prototypes and features based on feedback and evolving product needs. - Work closely with Product and Research to translate AI research into applicable features and software engineering projects. - Contribute production-ready code and technical designs, working across engineering to deliver scalable, reliable software. Essential Skills & Experience - BSc in Computer Science or related field with exposure to AI/ML. - Deep expertise in AI/ML, software engineering, or AI security. - Strong programming skills in Python, and relevant ML and/or agentic frameworks. - Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes. - Ability to pick up other programming languages and technologies as required to ship scalable and reliable software. Highly Desired Skills & Experience - PhD in Computer Science or related field with focus on AI/ML or similar. - Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse. - Experience contributing to open source projects. - Experience in a fast-paced startup environment. - Experience in cybersecurity is a plus, but not essential. Why Join Us? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. - Career Defining Work : Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity The SandboxAQ AI team is looking for an AI Engineer to help us build the future of agentic collaboration, trust and ROI. Our goal is to make agents work well on their own, in teams, and with humans. This includes the following aspects: - Security: Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc. - Quality: Measuring ROI of agents and suggesting improvements - Collaboration: Bringing humans and agents together into one place with shared context A successful candidate thrives at the intersection of AI and software engineering. You deeply understand how models and agents work, how they can fail, how they can be protected and improved. You have hands-on experience with agents in production, know what works and what doesn’t, know the latest trends and you’re opinionated about the future. You know what you don’t know and enjoy learning to close those gaps. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production. This is a hands-on role where you’ll break things, fix them and then harden them for good. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy, shaping the field of agentic collaboration and trust from all angles. We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. Key Responsibilities - Create new agentic capabilities - frameworks for monitoring, guardrailing, and evaluating them, and to make them work together more effectively. - Perform classical ML tasks - exploratory data analysis, feature engineering and fine-tuning models using the latest frameworks. - Work closely with Product and Research to translate AI research into applicable features and software engineering projects. - Rapidly iterate on prototypes and features based on feedback and evolving product needs. - Contribute production ready code, working across engineering to deliver scalable software. - Stay on the edge of the latest agentic developments and explore new opportunities. Essential Skills & Experience - MSc in Computer Science or related field with exposure to AI/ML. - Deep expertise in AI/ML, software engineering, or AI security. - Strong programming skills in Python, and relevant ML and/or agentic frameworks. - Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes. - Ability to pick up other programming languages and technologies as required to ship scalable and reliable software. Highly Desired Skills & Experience - PhD in Computer Science or related field with focus on AI/ML or similar. - Hands-on experience with at least one of the following: agent orchestration, agent harnesses, agent teams, jailbreaking / prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse. - Experience contributing to open source projects. - Experience in a fast-paced startup environment. - Experience in cybersecurity is a plus, but not essential. Why Join Us? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. 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.

About the Role Dots is looking for a Backend Engineer to build the systems that power our product. You’ll work closely with product, design, and engineering to turn ideas into reliable services and deliver features from design through production. In this role, you will: - Design, build, and maintain backend services and APIs. - Develop data models and improve database performance. - Build integrations with third-party services. - Improve system reliability, security, and observability. - Write tested, maintainable code and participate in code reviews. - Investigate production issues and address their root causes. - Help shape technical decisions as the product grows. You might thrive in this role if you have: - Experience building and operating backend applications in production. - Strong proficiency in a backend programming language. - Solid understanding of API design, relational databases, and data modeling. - Experience with cloud infrastructure, automated testing, and deployment workflows. - Ability to balance speed with quality and make practical technical decisions. - Clear communication and a collaborative approach to solving problems. Nice to have: - Experience with distributed systems, background jobs, and event-driven architectures. - Familiarity with caching, queues, and performance optimization. - Experience working on a small team or an early-stage product. 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.

About the Role We’re seeking an experienced Events Design Producer to lead the design production of high-profile events and experiences across the company. This is a high-impact role embedded within a fast-moving, cross-functional organization. You will oversee multiple event design workstreams, providing operational structure and hands-on production leadership from early concept development through fabrication, installation, and live execution. You’ll partner closely with creative, events, production, brand, marketing, and cross-functional stakeholders to ensure every physical and visual touchpoint is cohesive, on brand, and delivered to an exceptionally high standard. You will coordinate internal teams, agencies, fabricators, and vendors while balancing resources and priorities across concurrent projects. In this role, you will: - Lead design production across company events, from intimate gatherings to large-scale global experiences - Oversee the design development and execution of event environments, stages, signage, wayfinding, scenic elements, activations, and branded guest experiences - Establish clear roles, workflows, workback schedules, budgets, and quality standards across event design workstreams - Assess incoming event design needs and coordinate creative resources, agencies, fabricators, and vendors based on scope, timing, and complexity - Provide hands-on production leadership to keep complex or high-priority event design projects moving from concept through onsite delivery - Partner closely with event leads and creative teams to translate event goals, audience journeys, and program narratives into clear design briefs and deliverables - Guide designers and external partners in developing cohesive spatial, environmental, scenic, digital, and print design systems that align with brand standards - Synthesize and prioritize input from multiple stakeholders, turning feedback into clear, actionable direction for designers, agencies, fabricators, and vendors - Maintain visibility across design milestones, budgets, approvals, dependencies, fabrication schedules, installation plans, risks, and onsite production documentation - Ensure tight alignment across event identity, environment, stage, signage, digital surfaces, printed materials, and the end-to-end audience experience - Lead design reviews, technical handoffs, site walks, production check-ins, and onsite quality control through installation and live execution - Drive design-production decisions in a fast-paced environment with shifting directives, compressed timelines, and competing priorities - Identify opportunities to improve event design production processes, briefs, templates, vendor workflows, and ways of working - Maintain calm, clarity, and executional rigor during high-pressure moments leading up to and during event installation and live execution - Partner with creative and events leads to continually reprioritize projects and creative resourcing as urgent needs arise - Develop integrated workback schedules for multiple cross-functional teams across several concurrent global events; communicate deadlines proactively and consistently, and anticipate and address blockers as they arise You might thrive in this role if you have: - 8+ years of experience producing event design, experiential design, environmental design, or branded experiences, ideally within technology or a fast-moving global organization - Experience leading multidisciplinary teams of designers, creative producers, agencies, fabricators, technical partners, and vendors - Demonstrated ability to oversee multiple complex event design and production workstreams simultaneously - Strong creative-production leadership skills, with the ability to provide clear direction, thoughtful feedback, and support to teams working under tight timelines - Experience managing creative workstreams from early concept and design development through fabrication, installation, live execution, and strike - Strong visual judgment and experiential storytelling instincts, with exceptional attention to detail across spatial design, brand expression, materials, and guest experience - Proven ability to navigate ambiguity, synthesize diverse opinions, and establish clear priorities and decision paths - Confidence working directly with senior leaders and guiding stakeholders through rapid creative review and approval cycles - Strong budget, resource-planning, vendor-management, and project-management skills, including the ability to anticipate risks and resolve competing demands - Composure, decisiveness, and reliability under tight deadlines, onsite installation demands, and live-event pressure Additional Details - Must be in San Francisco 3 days a week to work closely with internal teams - Travel will be required for major company events, site visits, installations, and production weeks - Extended hours should be expected as key event milestones, installations, and live dates approach Why This Role Matters Events are among the company’s most visible and important brand moments. This role will ensure that event design projects across the company are scoped thoughtfully, managed effectively, and delivered with consistency, precision, and craft. By connecting creative ambition with production reality, the Events Design Producer will help build a scalable, high-performing function that turns ideas into cohesive, memorable experiences for audiences around the world. 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.

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent in science, engineering, and business to address one of the most ambitious challenges of our times. The Recruiting team is at the heart of this mission, tasked with identifying and hiring exceptional individuals who align with OpenAI's values and cultural ambitions. Our approach to recruitment aims to set the standard for excellence and innovation in the field, connecting outstanding candidates with opportunities to impact the future of AI. About the Role Our team is growing to help OpenAI build the next phase of highly capable intelligent computer systems. We’re looking for a highly experienced Recruiter who advises hiring managers and partners closely with senior leaders across the organization. You're driven to work on high-value talent initiatives and are close to the industry’s most sought-after talent. You’ll work with our existing team members—including technical recruiters, coordinators, sourcers, and cross-functional partners—to drive key hires across engineering, AI, and technical domains. In this role, you will: - Independently manage stakeholder expectations for top-of-funnel initiatives across the business - Partner with executives and hiring managers to deeply understand current and future hiring needs - Design and execute strategic sourcing plans to map talent and drive top-of-funnel activity - Own the candidate experience from first engagement through loop interview stage, delivering exceptional service and fast turnaround - Act as a thought partner to hiring teams, offering talent market insights, funnel data, and best practices - Source technical talent through creative outreach, events, and passive campaigns - Build and maintain nurturing campaigns and brand-forward recruitment marketing efforts You might thrive in this role if you have: - 8+ years of progressive recruiting experience in high-growth, premier tech environments - Proven success hiring in niche and competitive technical talent markets - Strong interpersonal skills and the ability to build trust with senior stakeholders - Clear, compelling written and verbal communication skills - Comfort navigating ambiguity and shifting priorities in a fast-paced 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.

About the Team OpenAI’s Research Data team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods through which we acquire and create data. About the Role As a Data Program Manager, Science, you will help researchers develop and execute scientific data programs, connecting OpenAI’s research priorities with relevant data, expertise and external partners. You’ll work closely with researchers to understand their needs, assess the scientific and practical value of opportunities, and develop partnerships across the scientific ecosystem. The work could range from acquiring existing datasets to shaping research collaborations. You’ll carry opportunities from initial investigation through commercial discussions, agreements, delivery and research use, exercising sound judgement around sensitive data and relationships. Our current work focuses particularly on biology and chemistry. We welcome different combinations of scientific, technical and partnership experience. This role is based in our San Francisco HQ. In this role, you will: - Develop data strategies with Research. Translate research goals, model limitations and evaluation gaps into evidence needs and success criteria. Compare acquisition with internal, public and commissioned alternatives. - Find distinctive sources for research. Build trusted local and international relationships across research and industry, including organisations at the scientific frontier. - Assess opportunities in scientific context. Inspect samples for provenance, context, quality and completeness. Assess usefulness, involving researchers and specialists as needed. - Shape partnerships with lasting scientific value. Understand partners’ ambitions and define pilots, deliverables and acceptance criteria, considering expertise, scientific contribution and continuing relationships alongside commercial terms. - Lead commercial and operational execution. Develop proposals, assess pricing and negotiate terms. Coordinate Legal, Privacy, Security, Procurement and engineering to clarify permissions, responsibilities and delivery. - Navigate sensitive collaborations. Understand institutional interests and confidentiality. Identify ethical, privacy, security and misuse concerns early, involving specialists to develop responsible arrangements. - Follow through into research use. Coordinate preparation, ingestion, access and documentation. Gather researcher feedback to inform whether to expand, change or stop. - Make thoughtful portfolio decisions. Recommend options based on research value, cost, timing and capacity. Identify shared needs and opportunities for useful collaboration across projects. - Make the work more repeatable. Use code, APIs, automation and AI tools to improve sourcing, assessment and delivery. Resolve recurring blockers with engineers and retain partner knowledge and research feedback. You might thrive in this role if you: - Have substantial grounding in biology, chemistry or related sciences through research, industry or equivalent experience, and engage critically with methods and evidence. - Have delivered complex scientific, data or partnership projects, with depth in one or more of scientific data and evaluation, commercial partnerships or research collaborations across organisations. - Exercise sound judgement: test claims, match evidence to research needs and make clear recommendations while acknowledging uncertainty. - Work directly with data: inspect unfamiliar files, investigate quality and use Python, SQL, APIs and AI-assisted coding to answer questions and reduce manual work. - Build trust through careful listening, precise questions and thoughtful negotiation. You bring relevant local and international relationships, or a demonstrated ability to develop them, and understand what partners value beyond the transaction. - Exercise discretion, recognising the limits of your expertise and authority and when scientific, ethical or safety questions need specialist input. - Thrive in a fast-moving environment, taking broad ownership across multiple projects and moving readily between scientific, technical and commercial questions. You prioritise thoughtfully as needs change, making clear decisions about where to focus and what can wait. - Enjoy getting your hands dirty, bringing energy and creative problem solving to unfamiliar or ambiguous opportunities. You turn them into practical plans and follow through on the details. - Learn exceptionally quickly, developing your understanding of AI training, evaluation and unfamiliar research areas to become a useful collaborator. - We welcome different combinations of scientific, technical and partnership experience. You do not need equal depth in every area. 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.

About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Research Lead, Policy Communications, you will build and lead a rigorous research program that helps OpenAI understand how people engage with complex AI policy issues. You will design qualitative and quantitative studies, develop durable research practices, and translate findings into clear recommendations for Policy, Communications, Product, and other partners. Your work will help teams communicate complex topics accurately, responsibly, and in ways that are useful to a broad range of audiences. This role can be based in San Francisco or Remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You’ll be responsible for: - Build and manage a mixed-methods research program from initial questions through study design, fieldwork, analysis, reporting, and documentation. Establish high standards for quality, consistency, and responsible research practice. - Design rigorous quantitative research, including surveys and longitudinal studies. Oversee questionnaire design, sampling, weighting, vendor quality, analysis, and clear communication of uncertainty and limitations. - Lead qualitative research, including interviews and focus groups, to understand how people interpret complex policy topics. Use these insights to improve the clarity, accuracy, and usefulness of policy communications. - Turn findings into executive-ready reports with practical recommendations for Policy, Communications, Product, Marketing, Data Science, Legal, Privacy, and other partners. Build reusable research tools, benchmarks, and knowledge that strengthen decision-making over time. We’re looking for someone with: - We’re looking for a senior mixed-methods research leader who combines deep quantitative and qualitative expertise with strong strategic judgment. You should be able to independently turn an ambiguous policy communications question into a rigorous well-scoped research plan, a clear interpretation of the evidence, and practical recommendations that teams can use. - You might thrive in this role if you: - Bring substantial experience leading public-opinion, communications, policy, market, or behavioral research in a complex or fast-moving environment. - Have deep survey-methods expertise, including questionnaire design, sampling, weighting, panel and vendor quality, experimentation, statistical analysis, longitudinal research, and clear treatment of uncertainty. - Design and conduct or oversee strong qualitative research, including recruitment, interviewing or moderation, synthesis, and integration with quantitative findings. - Have experience designing research across varied populations and judging whether a sample can support the conclusions being drawn. - Translate research into clear communications, policy, and product recommendations, and influence senior cross-functional partners when evidence challenges a preferred direction. - Communicate complex methods and findings clearly; manage research vendors, budgets, timelines, privacy, and research ethics; and build durable systems that let organizational learning compound. 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.

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Global Events Studio Team creates exceptional live and recorded video for Press, Marketing, Developer Experience, and Communications. About the Role The Audio Engineer will be the senior audio authority for high-profile livestreams, broadcast-style productions, studio recordings, public venue events, and critical on-location shoots. This person will design resilient audio systems, serve as A1 when failures are immediately visible, and deliver exceptional spoken-word audio across live, recorded, remote, and AI-enabled production workflows. In this role, you will: - Own audio design and A1 execution for complex broadcasts, live stage events, podcasts, and critical film/on-location shoots - Build and operate redundant program, stream, multitrack, camera, backup-recorder, and archival audio paths with real-time monitoring and recovery procedures. - Mix full-duplex speech-to-speech audio between humans and AI models - Design, commission, standardize, document, and improve audio signal flow for studios, control rooms, event spaces, and portable production systems. - Rapidly assess unfamiliar venues and design reliable systems around acoustic, power, network, access, RF, and footprint constraints. - Lead rigorous preproduction: technical designs, input lists, patch plans, frequency plans, rehearsals, testing, monitoring, redundancy, and fallback capture. - Diagnose and repair signal-chain, DSP, synchronization, routing, RF, networking, and hardware faults during live production. - Lead audio crews and freelancers, challenge flawed technical plans, and communicate decisive options under pressure. - Own multitrack recording, editorial handoff, backup, delivery, and archival workflows across professional formats and specifications. You might thrive in this role if you have: - 8+ years engineering complex live, broadcast, and studio production, including high-profile livestreams, public venue events, design, configuration, and programming of physical audio infrastructure, and critical on-location filming or streaming. - Proven experience serving as A1 when failures are immediately visible and time for sophisticated workarounds is measured in seconds. - Expert command of gain structure, routing, EQ, dynamics, automixing, feedback control, real time noise suppression, mix-minus, IFB, intercom, playback, comms, and latency management. - Deep experience designing and troubleshooting redundant program, stream, multitrack, camera, backup-recorder, and archival audio paths. - Advanced proficiency with networked audio and DSP systems such as Dante, AVB, SMPTE ST 2110, Q-SYS, Yamaha, and Shure. - Strong IP-networking knowledge, including clocking, multicast, VLANs, QoS, and diagnosing failures across audio, control, and enterprise IT environments. - Expert wireless-microphone and RF coordination skills across crowded, high-consequence production environments, including frequency planning, antenna distribution, and intermodulation. - Ability to capture exceptional spoken-word audio for keynote presenters, executive livestream hosts, stage panels, podcasts, voiceover, remote guests, and acoustically difficult spaces. - Advanced microphone selection and placement skills, including lavalier concealment, boom technique, room treatment, noise control, and feedback prevention. - Ability to mix full-duplex speech-to-speech audio between humans and AI models for a variety of different event formats - Fluency with broadcast encoders, embedded audio, streaming protocols, conferencing platforms, and external distribution endpoints. - Expert-level understanding of room acoustics and a fundamental understanding of acoustic science. - Demonstrated success diagnosing and repairing signal-chain, DSP, synchronization, routing, RF, networking, and hardware faults during live production. - Strong multitrack recording, timecode, sync, metadata, editing, mixing, delivery, backup, and archival judgment across professional formats and loudness specifications. - Functional audio post-production skills, including dialogue cleanup, noise reduction, EQ, dynamics, mix revisions, and delivery preparation. - Ability to lead audio crews, support technical freelancers, challenge flawed technical plans, and communicate decisive options under pressure. - Willingness to work onsite, travel globally as needed, and support rehearsals or productions outside standard hours when critical productions require it. Workplace & Location This is an onsite role and will require 5 days a week in our San Francisco office, with global travel and support outside standard hours when critical productions require it. 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.

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations to lead improvements across recruiting processes, systems, and enablement. You’ll identify recurring friction, define the underlying problem, and carry solutions from an initial test through implementation, adoption, and a repeatable operating process. You’ll partner with Recruiting leaders, People Systems, and hiring teams to translate hiring priorities into scalable processes and programs. You’ll align stakeholders on the most consequential problems, establish shared operating standards, and lead changes that improve recruiting effectiveness. Success means measurable improvements, sustained adoption, and clear ownership that enables teams to operate independently and adapt as hiring needs evolve. In this role, you will: - Lead projects from discovery through adoption, managing scope, milestones, dependencies, and risks. - Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. - Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. - Identifying recurring support themes and driving fixes through process changes, documentation improvements, automation, or handoff to People Systems. - Partnering closely with recruiters, coordinators, People Systems, and cross functional stakeholders to improve workflow usability and reliability. - Using data and operational signals to monitor service health, prioritize improvements, and reduce repeat work. - Evaluating practical AI and automation opportunities that improve support quality, speed, and consistency without weakening controls. You might thrive in this role if you have: 5+ years of experience in recruiting operations, HR systems, people technology, or related roles. Hands-on experience administering an ATS (Ashby strongly preferred). Strong understanding of recruiting workflows, offers, and hiring data. Ability to balance detailed systems work with user support and enablement. Strong communication and stakeholder partnership skills. Comfort working in fast-moving, evolving environments. Highly detail-oriented, with strong operational discipline and a commitment to accuracy and consistency. Nice to Have: Experience supporting global or multi-entity hiring. Familiarity with compliance-sensitive or highly regulated workflows. Experience creating training and documentation for operational teams. Experience working with analytics or downstream HR systems. Workplace & Location This role is based in our San Francisco office and we aren’t considering remote applications at this time. We offer relocation support to new employees, and we use a hybrid work model: three days in the office per week with optional work from home on Thursdays and Fridays. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more. 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.

About the Team OpenAI’s Business Marketing team helps organisations understand, adopt, and create value with AI. In EMEA, Consumer and Business Marketing plan as connected partners—bringing together audience insight, global narratives, product launches, customer proof, partnerships, field activity, and demand generation into coherent regional programs. We work closely with country and regional GTM teams, Global Integrated Marketing, and Production to build relevance, trust, adoption, and durable commercial impact across a diverse set of markets. About the Role We’re hiring an Integrated Marketing Manager to shape how businesses across EMEA understand, experience, and choose OpenAI. You’ll own end-to-end regional B2B programs and build them side by side with EMEA Consumer Marketing, so audience strategy, market priorities, and campaign sequencing work as one joined-up regional plan. You’ll translate global launches and campaigns into locally relevant market moments, and build EMEA-led programs where regional insight creates a stronger path to impact. The role has a dotted-line relationship to the Global Integrated Marketing lead and partners closely with Production: shaping global work early, recommending budget allocations across global, regional, and local activity, and turning strategy into decision-ready briefs with clear scope, timing, feedback, and approvals. You’ll also partner deeply with Sales and Marketing Operations. This is a hands-on role: you will set the strategy, write the brief, align contributors, unblock delivery, and stay close to performance and learning. In this role, you will: - Own the EMEA B2B integrated marketing strategy and quarterly plan, working side by side with Consumer Marketing to align priority audiences, markets, launches, campaign sequencing, channels, and measurement. - Turn audience insight, cultural and competitive context, product truth, customer proof, and business priorities into sharp regional strategies and creative briefs that work across paid, owned, earned, social, field, partner, and sales channels. - Partner with regional Sales and GTM leaders and with Marketing Operations on segmentation, target-account and audience priorities, campaign infrastructure, attribution, reporting, and pacing against pipeline goals. - Orchestrate Brand, Creative, Product Marketing, Customer, Communications, Growth, Demand Generation, Field, Partner Marketing, agencies, local teams, and Production into one coherent audience journey. Serve as the marketing interface to Production: provide decision-ready briefs, align scope, budgets, timing, feedback, and approvals, and protect quality across markets. - Partner with Global Integrated Marketing through the role’s dotted-line relationship to shape global campaigns early, bring them effectively into EMEA, and recommend clear allocations across global, regional, and local investment. Use AI to deepen insight, improve briefs and workflows, test new formats, and accelerate high-quality execution; be accountable for measurable progress across awareness, consideration, engagement, pipeline, adoption, consumption, and revenue. You might thrive in this role if you: - Have significant experience leading integrated B2B marketing or go-to-market programs across multiple EMEA markets, including building joined-up plans with consumer or brand teams, ideally in enterprise technology, AI, cloud, or another category with complex buying journeys. - Bring strong strategic judgment, credibility with senior stakeholders, and the ability to lead independently through ambiguity while staying close to execution. - Have a proven track record of driving measurable brand and commercial outcomes, including awareness, consideration, engagement, adoption, pipeline, consumption, or revenue. - Have a strong command of audience strategy, positioning, creative development, channel planning, budget and agency management, full-funnel measurement, and the trade-offs required across markets. - Bring practical AI fluency and experience using AI tools to improve insight, experimentation, execution, and learning—not simply to automate existing work. - Have experience operating in a global-regional-local matrix, influencing global campaign development, serving as a clear marketing partner to Production, allocating budgets across competing priorities, and adapting programs to different EMEA cultures, market maturity, regulations, and commercial conditions. - Can build credibility with senior business and technical decision-makers and turn customer insight and proof into campaigns that help complex buying groups progress. 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.

About the Team OpenAI’s mission is to ensure that AGI benefits all of humanity. Our Internal Communications team helps employees stay informed, connected, and engaged so they can focus on building and deploying safe and impactful AI. We partner across the company to explain what’s being built, why it matters, and how it connects to our strategy and mission. About the Role We’re looking for an internal communications professional to help employees understand the work happening across OpenAI’s research and product organizations. You’ll translate technical developments, product milestones, and team priorities into clear, useful communications that connect people to the work and to one another. Reporting to the Internal Communications lead for Research and Product, you’ll be the second member of the team dedicated to this part of OpenAI. You’ll independently own specific communications programs and projects within the broader strategy, build trusted relationships with technical teams, and identify stories and information employees need to hear. You’ll also help build practical processes that allow a small team to support a broad and fast-moving organization. This role requires strong writing and editing skills, technical curiosity, and sound judgment. You should enjoy asking questions, making sense of complex information, and moving work forward independently, with guidance from your manager on broader strategy and sensitive issues. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own recurring communications programs that help employees understand research and product priorities, progress, and upcoming milestones. - Lead communications for defined projects and initiatives, developing plans, gathering input, drafting content, coordinating reviews, and managing delivery. - Translate complex technical and research concepts into accurate, accessible stories for employees with different levels of technical knowledge. - Build trusted relationships with researchers, product managers, engineers, and cross-functional partners to stay close to their work, identify important developments, and surface communication needs. - Write and edit content across internal channels, including leadership and org updates, Slack posts, FAQs, explainers, and All Hands materials. - Develop demos, research deep dives, and Q&A sessions that help employees hear directly from technical teams, including shaping content and preparing speakers. - Maintain and improve communications workflows, including editorial planning, templates, review processes, and shared resources that keep information timely and easy to find. - Use employee questions and feedback to improve communications, identifying gaps in understanding and recommending follow-up content or changes to format and cadence. - Partner with your manager on major announcements and organizational changes, owning defined workstreams and flagging sensitive issues, dependencies, and decisions that need leadership input. You might thrive in this role if you: - Have 5+ years of experience in internal communications, product communications, journalism, or a related field, ideally with exposure to research or technical teams. - Bring strong writing, editing, and storytelling skills, with an emphasis on clarity, accuracy, and making information useful to the audience. - Have independently managed communications projects from planning through delivery, coordinating stakeholders and balancing competing deadlines. - Are curious about AI, research, and product development, and comfortable asking questions until you understand a topic well enough to explain it. - Build strong working relationships and can gather input, offer editorial guidance, and keep projects moving with busy partners. - Exercise sound judgment with sensitive information and ambiguity, and know when to make a decision independently or seek guidance. - Enjoy creating practical, repeatable processes that improve the quality and consistency of communications. - Respond well to feedback and adapt as priorities change. 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.

About the Team OpenAI’s Real Estate & Workplace (REW) team creates and operates the spaces that support our people and our mission. Within REW, the Strategic Occupancy Planning team connects business needs, workplace strategy, and space data to help shape where and how our teams work. We partner closely with business leaders, Finance, People, Workplace Operations, and Design & Construction to anticipate growth, optimize space utilization, and deliver a thoughtful, scalable workplace experience. About the Role We’re looking for an experienced Occupancy Planning & Workplace Strategy Manager to lead strategic space planning for our Go-to-Market (GTM) and General & Administrative (G&A) organizations. In this role, you’ll translate evolving business needs into actionable occupancy strategies, capacity scenarios, and workplace recommendations. You’ll serve as a trusted partner to business leaders, balancing growth projections, operational requirements, and employee experience to inform decisions about how our teams use space. You’ll own planning across a complex, evolving portfolio while leveraging CAFM/IWMS systems and data analytics to drive accurate, scalable decision-making. This role requires a combination of strategic thinking, hands-on technical expertise, and strong cross-functional partnership to turn planning recommendations into operational outcomes. This role is based in San Francisco. We use a hybrid work model of three days in the office per week, with approximately 10–20% travel. In This Role, You Will - Own strategic occupancy planning for GTM and G&A organizations, translating headcount forecasts, business priorities, and workplace needs into actionable space plans. - Develop and evaluate capacity scenarios, neighborhood strategies, team adjacencies, seating models, and space allocation recommendations to support organizational growth. - Partner with business leaders and executive stakeholders to understand evolving requirements, communicate trade-offs, and align workplace strategies with business objectives. - Collaborate with Finance, People, Analytics, Design & Construction, and Workplace Operations to reconcile forecasts, assess capacity constraints, and guide planning decisions through implementation. - Translate workplace needs into practical stacking, blocking, and move plans, ensuring recommendations account for operational feasibility, timing, and employee experience. - Leverage CAFM/IWMS platforms and analytical tools to maintain accurate space inventories, floor plans, seating allocations, and utilization data. - Identify and resolve space data discrepancies, establish quality controls, and partner with internal system owners and external vendors to improve data reliability. - Develop dashboards, planning workflows, and reporting tools that improve visibility into occupancy trends, capacity risks, and portfolio performance. - Drive continuous improvement in occupancy planning processes, including opportunities for automation, system enhancements, and scalable planning practices. - Support workplace change initiatives by partnering with cross-functional teams to ensure clear communication, coordinated execution, and successful transitions. You Might Thrive in This Role If You - Bring 5–8+ years of experience in occupancy planning, workplace strategy, space management, or a related field, with experience independently managing complex, multi-team or multi-site portfolios. - Have a strong track record of translating business growth, headcount projections, and workplace requirements into practical, data-informed space strategies. - Possess hands-on experience with CAFM/IWMS platforms, including space inventory management, floor plans, seating allocations, data reconciliation, and reporting. - Are highly analytical and comfortable developing scenarios, evaluating trade-offs, and translating complex data into clear recommendations for senior stakeholders. - Excel at building trusted relationships with business leaders and cross-functional partners, influencing decisions without direct authority. - Can balance long-term strategic planning with hands-on execution in a fast-paced environment where priorities and requirements evolve quickly. - Have experience supporting workplace transitions, flexible seating strategies, organizational growth, or large-scale space planning initiatives. - Communicate clearly and effectively, whether presenting recommendations to executives, documenting planning assumptions, or coordinating implementation across teams. - Are comfortable navigating ambiguity, identifying opportunities for process improvement, and building scalable solutions. Experience with OfficeSpace or comparable CAFM/IWMS platforms, CAD or floor-plan tools, business intelligence platforms, system migrations, and vendor management is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer. 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 characteristics. For additional information, please see OpenAI’s Equal Employment Opportunity and Affirmative Action Policy. Applicants with disabilities may be entitled to reasonable accommodations. Requests for reasonable accommodations can be made via our accommodation request process. 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.

About the Team The Consumer Devices organization at OpenAI builds products that bring advanced AI into the physical world. Our teams span hardware, software, design, research, and operations, working together to deliver thoughtfully crafted products at global scale. Hiring at this level requires precision, discretion, and a deeply respectful candidate experience. The Recruiting team plays a critical role in how leaders and senior contributors experience OpenAI — often through their very first interactions with the company. About the Role We’re looking for a Senior Technical Recruiter who advises hiring managers and partners closely with senior leaders across the organization. You're driven to work on high-value talent initiatives and are close to the industry’s most sought-after talent. You’ll work with our existing team members—including technical recruiters, coordinators, sourcers, and cross-functional partners—to drive key hires across engineering, AI, and technical domains. This role is based in our Singapore office. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Act as a strategic partner to hiring leaders; align on priorities, org design, and proactive pipelines across key areas. - Source, engage, and nurture top talent across cross hardware, software, design, research, and/or operations. - Use data (funnels, pass‑through rates, cycle time, source mix) to improve process, leveling, and compensation decisions. - Shape interview plans and rubrics; uphold consistent, inclusive assessments and a great candidate experience. - Craft compelling closing narratives and navigate complex, competitive negotiations. - Collaborate closely with sourcing partners on talent maps and long‑term pipelines. You might thrive in this role if you: - Have 8+ years recruiting in highly technical domains. - Demonstrate success hiring across hardware, software, design, research, and/or operations. - Influence with clear data and market insight; communicate crisply with executives and candidates. - Close thoughtfully—balancing candidate motivations, market dynamics, and compensation frameworks. - Thrive in fast‑moving, ambiguous environments and care deeply about safety and impact. 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.

About this Team At OpenAI, we’re here to do something extraordinary: build safe AGI that benefits everyone. That mission demands people who are not just brilliant but also deeply aligned with our values. Our Recruiting team is the gateway connecting exceptional humans to meaningful, high-impact work. We’re a close-knit, mission-driven crew that takes pride in thoughtful, relationship-first hiring. We partner deeply with teams across OpenAI to find, engage, and support the people who will shape the future of AI. About this Role We’re looking for an experienced Business Recruiter to help build some of the most critical teams at OpenAI, primarily focused on technical business roles within our B2B and go-to-market organisation. You’ll also need the versatility to take on hiring across other teams as business priorities evolve. This is a high-impact role where you’ll operate as a strategic talent partner not just executing searches, but shaping how we attract, assess, and hire exceptional talent globally. You’ll own searches end-to-end, working closely with senior stakeholders to define hiring strategies, navigate complex markets, and deliver outstanding outcomes. You’ll report to the APAC Recruiting Lead and collaborate closely with global recruiting, People, and business leadership to scale our organisation in a thoughtful, high-quality way. Your responsibilities - Own end-to-end hiring for APAC roles, from scoping and calibration through to offer and close. - Partner closely with senior business leaders to deeply understand team needs, define hiring strategies, and translate business priorities into actionable talent plans. - Build and execute proactive, data-informed sourcing strategies to attract high-calibre and diverse talent across competitive markets. - Act as a trusted advisor to hiring managers, driving alignment, challenging assumptions, and maintaining a consistently high hiring bar. - Deliver an exceptional candidate experience, ensuring every interaction reflects OpenAI’s values and mission. - Navigate complex, global hiring environments by partnering with People, Legal, and Compensation to ensure consistency, fairness, and compliance. - Continuously improve recruiting processes, identifying bottlenecks and implementing scalable solutions to increase quality and velocity. - Bring market intelligence and insights to stakeholders, influencing hiring decisions and shaping talent strategy. We’re seeking: - 7+ years of full-cycle recruiting experience, ideally in-house at high-growth or high-bar environments. - Proven track record of hiring for business functions (e.g. Sales, Technical Success, RevOps, Partnerships, User Ops), preferably working on Technical roles. - Strong talent judgment, you can assess both experience and potential, and consistently raise the bar. - Comfortable operating as a strategic partner, influencing senior stakeholders and navigating ambiguity. - Highly execution-oriented, with the ability to run multiple complex searches simultaneously without sacrificing quality. - Skilled in building pipelines from scratch, especially in competitive or emerging talent markets. - Excellent communication and stakeholder management skills, with experience working across regions and cultures. - Data-informed and structured in your approach, using insights to guide decisions and improve outcomes. - Experience with modern recruiting tools (e.g. Ashby, LinkedIn Recruiter) and a mindset for leveraging new technologies. 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.

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities - Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient - Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale - Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic - Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale - Own end-to-end performance of our largest RL runs, from research code down to the hardware - Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled - Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications - Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization - Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism - A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact - Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute - Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm - Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications - Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise - Experience developing RL algorithms for language models - Experience with scaling laws or other quantitative models of training efficiency - Experience designing or modifying transformer architectures beyond standard configurations - Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale - Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability - Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices - Experience with C++ or Rust Representative projects - Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks - Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline - Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch - Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system - Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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 equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Role OpenAI is seeking a senior individual contributor to support revenue growth across EMEA by helping sales teams structure and close commercially sound deals. You will balance speed and responsiveness with pricing discipline, consistent processes, and appropriate financial and commercial controls. In this role, you will be the day-to-day Deal Operations partner for EMEA account teams, reviewing pricing, discounts, and commercial terms across new business, renewals, and expansions. You will guide sellers through deal requirements, evaluate non-standard requests, and coordinate the approvals needed to move opportunities through contracting and closure. You will also develop scalable workflows, guidance, and tools that improve deal turnaround times, documentation quality, and consistency across the region. This role partners closely with Sales, Finance, Legal, Pricing, and Revenue Operations, with Product and other teams engaged as needed, to resolve deal issues and support accurate execution from quote through contract and booking. In this role, you will: - Serve as the primary Deal Operations contact for EMEA account teams, managing deal intake, prioritizing requests, and guiding sellers through pricing, review, and approval processes. - Review quotes and proposed commercial terms, including discounts, payment schedules, contract duration, and customer commitments, for accuracy and alignment with pricing guidelines and commercial policies. - Build financial analyses and deal models to assess revenue, margin, discount impact, and profitability, and explain the tradeoffs of proposed deal structures to decision-makers. - Partner with Sales to structure deals that meet customer needs and OpenAI’s commercial objectives, recommending alternatives when proposed terms fall outside established guidelines. - Coordinate deal reviews and required approvals across Finance, Legal, Pricing, and Revenue Operations. Prepare clear recommendations, document decisions, and escalate exceptions to the appropriate stakeholders. - Identify risks in non-standard terms and work with Legal and Finance to resolve contractual, billing, and revenue recognition considerations before execution. - Maintain complete deal records and approval documentation in CRM, CPQ, and contract management systems, and partner with Revenue Operations to align approved terms, executed agreements, and booking information. - Help develop and maintain deal approval policies, escalation paths, pricing guidance, and standardized templates. Improve workflows to reduce bottlenecks while maintaining appropriate controls. - Equip sellers with practical guidance and training on deal requirements and approval processes. Apply AI and automation to improve deal intake, knowledge retrieval, and self-service support. - Track Deal Desk metrics such as turnaround time, approval bottlenecks, exception trends, and quote accuracy. Use recurring deal patterns to recommend improvements to commercial policies, processes, and tools. You might thrive in this role if you have: - 8+ years of experience in Deal Desk, commercial finance, pricing, sales operations, or a related function, preferably in a high-growth technology environment. - Hands-on experience reviewing and structuring complex enterprise deals and supporting quoting, commercial approvals, and contracting processes. - Strong financial modeling and analytical skills, including experience assessing pricing, discounts, revenue, margins, and deal profitability. - Knowledge of enterprise software commercial terms and subscription or consumption-based business models, with the judgment to identify issues that require Legal or Finance review. - Strong communication and stakeholder management skills, with the ability to explain commercial tradeoffs, make clear recommendations, and coordinate timely decisions across teams. - Experience with CRM systems, configure-price-quote (CPQ) tools, and contract management platforms, along with strong spreadsheet skills. - Attention to detail and a track record of improving approval workflows, documentation, and operational processes as a business scales. - Sound commercial judgment and the ability to manage competing priorities and tight deadlines while maintaining accuracy and appropriate controls. - A collaborative, hands-on approach to supporting sales teams and familiarity with using AI and automation to improve deal workflows and productivity. 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.

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. We develop strategies that drive awareness, engagement, and usage of OpenAI’s products and platform, helping people and businesses understand and realize the value of AI. The Marketing Insights & Analytics team develops a deep understanding of markets, audiences, behaviors, attitudes, and needs to inform marketing, product, and business decisions. We partner across OpenAI to build foundational audience understanding, shape marketing strategy, inform thought leadership, and measure performance. About the Role As Market Research Lead, ChatGPT you will help shape our Insights & Analytics strategy and set research direction for a major business area or cross-functional initiative. As a senior individual contributor, you will independently define and lead multiple complex research workstreams, connecting audience behavior, perceptions, and feedback to decisions across product, brand, and growth. You will anticipate emerging business questions, bring structure to ambiguous challenges, and translate research into recommendations that influence senior leadership. Alongside delivering hands-on research, you will establish methodological standards, develop foundational research frameworks, and mentor experienced peers. In this role, you will: - Set research strategy, priorities, and goals for a major business area, aligning the research agenda with critical decisions and anticipating future needs. - Independently define, prioritize, and lead multiple complex quantitative and qualitative research workstreams, balancing business impact, rigor, speed, and resources. - Serve as a strategic partner to brand, product marketing, creative, product, and other teams, helping shape business strategy and goals through insights. - Address challenges such as reaching new audiences, evolving our brand, positioning our product suite, and improving experiences. - Connect primary research with behavioral data and other evidence, partnering with analytics colleagues to build a holistic understanding of our audiences. - Translate complex findings into clear narratives and actionable recommendations that influence senior leaders and align stakeholders around decisions. - Set technical and quality standards for research design, execution, analysis, and interpretation, including work delivered by agencies and vendors. - Develop reusable frameworks and foundational research that strengthen the team’s ability to answer complex questions over time. You might thrive in this role if you have: - 12+ years of experience in mixed-method market research and data analysis, with deep expertise in quantitative and qualitative methods. - A track record of setting research strategy and independently leading multiple complex workstreams across a substantial business area or cross-functional initiative. - Strong judgment in ambiguous situations, including identifying the right questions, prioritizing competing needs, and choosing methods that support consequential decisions. - Hands-on expertise across the full research lifecycle, including instrument design, sampling, weighting, statistical analysis, and reporting. - Demonstrated success synthesizing evidence from multiple sources into recommendations that influence senior leadership and marketing, product, or business strategy. - Experience spanning product or go-to-market research, positioning and messaging, brand strategy, campaign development, and tracking. - Experience conducting global research and managing agencies or vendors to deliver high-quality outcomes. - Experience establishing research standards, developing reusable frameworks, and mentoring experienced researchers or cross-functional peers. - Proficiency with statistical analysis and survey programming. - Excited to make AI part of how you work—actively experimenting with new tools and finding practical ways to improve the quality, speed, and impact of your work 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.

About the role We are hiring a Manager, Revenue Accounting focused on enterprise revenue to provide hands-on accounting support within Controllership. You will help the team meet the demands of a growing enterprise business through journal entries, reconciliations, close support, and audit support. In this role, you will - Prepare and book journal entries and perform reconciliations for enterprise revenue accounting activity. - Support the monthly accounting close. - Respond to audit requests and prepare supporting documentation. - Work with large datasets to support enterprise revenue accounting execution and investigate accounting activity. You may thrive in this role if you - Bring hands-on accounting execution skills across journal entries, reconciliations, close activities, and audit support. - Are comfortable working with large volumes of data. - Have SQL experience or otherwise demonstrate strong data-analysis capability. Lack of SQL experience is not an automatic disqualifier. - Enjoy contributing to a team supporting a rapidly growing business. 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: £195,000 - £280,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role can work onsite or hybrid from one of our offices. We are open to a fully remote option for the right candidate. Travel: Up to 10% Job ID: 1915 The Role: We are hiring a senior technical leader to build the AI foundation our security organization runs on — and to make sure it actually gets used. This is a dual-mandate role. You will stand up the enterprise AI infrastructure that lets security teams safely build with large language models and agents, and you will lead the adoption effort that turns that infrastructure into measurable gains across detection and response, threat intelligence, vulnerability management, GRC, and security engineering. This is a hands-on senior individual contributor role. You will write code, design systems, and set technical direction. You will not manage a team, but you will lead through influence: partnering with engineering leaders, coaching analysts and engineers, and building the coalitions that make org-wide change stick. Expect roughly an even split between platform building and enablement work. You will report to the security leadership team and work closely with Platform Engineering, IT, Legal, Privacy, and the broader AI/ML organization. Responsibilities : Stand Up the Enterprise AI Infrastructure - Build the platform. Design and build the shared platform security teams use to develop AI applications — model gateway and routing, authentication and authorization, secrets handling, rate limiting, cost attribution, and audit logging. - Enable agentic systems. Establish patterns and reusable components for agentic workflows: tool and MCP server integration, sandboxed execution, human-in-the-loop approval gates, and least-privilege scoping for agent credentials. - Wire in the data. Connect security's knowledge — runbooks, detection logic, past incidents, asset inventory, policy documents — to AI systems through well-governed retrieval pipelines with correct access controls and data classification enforcement. - Make it measurable. Build the evaluation harness, regression suites, and observability that tell us whether an AI system is working: output quality, latency, cost, hallucination rate, and drift over time. Nothing ships to production without a baseline. - Secure the stack itself. Implement guardrails against prompt injection, data exfiltration through model outputs, insecure tool use, and supply-chain risk in models and AI dependencies. Red-team the platform and the applications built on it. - Set the standards. Own the reference architecture, golden paths, and internal documentation so that a security engineer can go from idea to reviewed prototype in days rather than months. Drive AI Adoption Across the Security Organization - Find the real use cases. Work directly with detection engineering, IR, threat intel, vulnerability management, GRC, and security operations to identify where AI meaningfully reduces toil or improves quality — and where it does not. Kill weak ideas early. - Build the flagship applications. Deliver a small number of high-visibility wins yourself. Nothing drives adoption like a working tool that saves an analyst two hours a day. - Teach the organization. Run enablement programs — office hours, workshops, internal documentation, prompt and agent design patterns, brown-bags — that raise the AI fluency of the entire security organization, not just the engineers. - Measure adoption honestly. Define and report the metrics that show whether adoption is real: active users, workflows automated, analyst hours returned, time-to-detect and time-to-respond improvements, quality deltas against human baselines. - Establish governance that enables. Partner with Legal, Privacy, and Compliance to establish the acceptable-use policy, review process, and risk framework for AI in security workflows — designed to unblock teams rather than stall them. - Stay ahead of the field. Maintain the organization's point of view on where AI capability is heading and what it means for our security roadmap, staffing, and threat model. Evaluate vendors and open models on the merits. Requirements: - 8+ years in security engineering, platform engineering, or a closely related technical field, including significant hands-on software development. - Demonstrated experience building and operating production systems with large language models — not prototypes or demos. You have shipped something real, dealt with its failure modes, and iterated on it. - Strong software engineering fundamentals and fluency in Python (or an equivalent language), including API design, distributed systems, and cloud infrastructure (AWS, GCP, or Azure). - Deep understanding of security engineering: identity and access management, secrets management, network boundaries, logging and detection, and secure software development practices. - Working knowledge of AI-specific risk — prompt injection, jailbreaks, data leakage through model outputs, insecure agent tool use, model and dependency supply chain — and practical mitigations for each. - A track record of driving technical change across an organization through influence rather than authority: building consensus, teaching, and shipping things people voluntarily adopt. - Clear written and verbal communication. You can explain a system design to an engineer and the business case for it to an executive, in the same week. - Sound judgment about where AI is genuinely useful and where it is not. We want an advocate who is also a skeptic. Preferred Qualifications: - Experience with agent frameworks, orchestration, and the Model Context Protocol (MCP) or comparable tool-use standards. - Experience building evaluation frameworks or LLM observability tooling. - Background in security operations, detection engineering, or incident response — you have felt the toil firsthand. - Experience with retrieval systems, embeddings, vector databases, and knowledge pipeline design. - Familiarity with AI governance and assurance frameworks such as the NIST AI Risk Management Framework, ISO/IEC 42001, or the OWASP Top 10 for LLM Applications. - Experience fine-tuning or evaluating open-weight models for domain-specific tasks. - Prior experience as a first or founding hire on a platform or capability that later scaled organization-wide. What Success Looks Like First 90 Days - You have mapped the current state — what security teams are already doing with AI, sanctioned or not — and published a prioritized assessment of gaps, risks, and opportunities. - A minimum viable AI platform is running: gateway, authentication, logging, and cost attribution, with at least one security team building on it. - An acceptable-use policy and lightweight review process for AI in security workflows is drafted and socialized. First 6 Months - Two or more production AI applications are in daily use by security teams, with measured impact. - The evaluation and observability layer is in place; no AI system reaches production without a quality baseline and monitoring. - Enablement is operating on a regular cadence, and engineers outside your immediate orbit are shipping their own AI-assisted workflows on the golden paths you built. First Year - AI is a normal part of how the security organization works, with adoption and impact reported through metrics leadership trusts. - The platform supports agentic workflows safely, with guardrails that have been tested adversarially. - The role has clearly outgrown one person, and you have made the case for what the team around it should look like. Why This Role Security organizations are drowning in work that AI is genuinely good at, and most of them are still stuck at the pilot stage because nobody owns both halves of the problem — the infrastructure and the adoption. This role owns both. You will have executive sponsorship, real budget, and the latitude to set technical direction from a blank page. If you want to define how an entire security organization works with AI rather than tune someone else's system, this is that job. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. If this role has a commission structure, the compensation range below just reflects the base compensation range. Wage Transparency: $180,000 - $225,000 USD Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is where millions of people hang out every day - 90% of them play games, spending over 5 billion hours across thousands of titles each month. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We’re looking for a Data Scientist to join our Client Platform Data Science team, where you’ll help make sure that Discord just works. You’ll partner with the teams that design, build, and support Discord - improving app performance, enhancing the user experience, and driving growth. Your work will span strategic analyses, experimentation, and dashboarding. Specifically, we’re looking for someone who can help us take Discord’s mobile and desktop reliability to the next level through better metrics, monitoring, and automation. If you’re passionate about data and want to make a real impact, we’d love to hear from you! What you'll be doing - Partner with teams throughout Discord through the full analytics lifecycle - from exploratory analyses to dashboards, reports, and A/B testing - Define KPIs and diagnostic metrics that improve the user experience, and build dashboards to make them timely and actionable - Build custom datasets to monitor novel product features and processes - Share insights with technical and non-technical audiences, and iterate based on feedback - Champion A/B testing best practices - helping teams design, analyze, and interpret experiments correctly - Collaborate with data and engineering teams to design scalable and future-proof instrumentation and self-serve tooling What you should have - 2+ years of hands-on analytics experience turning ambiguous business problems into clear, actionable insights - Experience designing, analyzing, and interpreting A/B tests at scale - Strong SQL skills and experience building clean, performant dashboards (Tableau, Looker, or similar) - Clear communication skills, with the ability to make complex findings easy to understand - Curiosity, a collaborative attitude, and a drive to solve hard problems Bonus Points - Passion for Discord or online communities - Experience with performance/reliability analytics for online services - Familiarity with social or subscription products (social graphs, LTV, funnel analysis) - Production ETL or BigQuery experience - Experience using AI in data science work The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits. Base Salary $160,000 - $200,000 USD Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ENGINE INFRA? Engine Infra team is responsible for the game-server fleet that simulates live experiences — making it efficient, observable, and reliable on Roblox edge infrastructure and regional cloud capacity, from multiplexing and ARM bursting through telemetry, resource allocation, and edge latency. You Will: - Define Metrics — Own Engine Infra metrics, telemetry logging, and validation for the RCC fleet and edge compute. Establish KPIs for game-server efficiency, reliability, and player experience — including CPU and memory, heartbeat, occupancy and multiplexing efficiency, crash and OOM rates, runtime error codes, and latency quality (e.g. DataPing vs RakPing) that directly affect creators and players. - Transform & Visualize Data for Actionable Insights — Access and process raw RCC and engine telemetry, build analytics pipelines, and deliver clear operating views of the fleet. Turn per-instance, per-game, datacenter, and channel signals into dashboards and decision systems that help Engine Infra pack more players onto fewer cores, allocate CPU and memory correctly, and keep multiplexed and large-server processes healthy. - Design Experiments & Apply Causal Inference — Lead channel tests, hardware A/Bs, and causal analyses for multiplexing, ARM64 bursting, regional capacity, and edge latency. Measure trade-offs among efficiency, stability, and quality; separate host, container, engine, content, and release effects; and estimate player-experience impact (including latency-sensitive cohorts, not only global averages) so launches ship on evidence. - Drive Cross-Functional Collaboration — Partner with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, and TPMs, and with teams such as Creator Analytics and Growth, to debug ambiguous production issues and open new capacity and quality opportunities. - Shape the Future of Roblox’s Foundation — Influence how Roblox runs live experiences on owned edge and cloud hardware — a more efficient RCC fleet, better regional capacity, lower edge latency, and a platform that stays interactive as we scale toward larger, denser servers. You Have: - Advanced degree in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis. - 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimization. - Expertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reporting. - Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause. - Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment. Nice to Have: - Direct experience with game engines or systems performance - Experience in game development or working on real-time interactive systems - A background or interest in memory management, OS-level interactions, or network stack optimization. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $221,380 - $263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. Teams Hiring for this role: - Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models. - Safety: Managing account relationships and the real-time morphing of linguistic mapping. - Economy: Drive creator success and growth by exploring marketplace structure and pricing. - Engine: This team is dedicated to enhancing Roblox's overall stability and performance, enabling all its functionalities. - Social: Analyze user engagement to identify areas for enhancing the user experience and delivering greater value. - Consumer/Growth: Optimize our user’s experience and provide them with UX and content to maximize intention and engagement on the platform. - Creator/Ads and Brands: Understand the long term value and contribution Creators have to the health of Roblox’s ecosystem You Will: - Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations. - Conduct in-depth research to address complex data-related challenges. - Work on projects that have a real impact on our products, services, and business strategy. - Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers - Present your findings and recommendations to both technical and non-technical stakeholders. You Have: - Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science. - At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship. - Proficiency in one or more programming languages (e.g.,SQL,Python or R) - Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow. - Passion for applying scientific rigor to advance dynamic consumer products. - Experience in developing production solutions is a plus. - Experience with ML modeling You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits shown on this page are applicable to internship opportunities. Hourly Pay Range $66 - $66 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other engineers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Data Science And Engineering The Data Science & Engineering organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. In Data Science & Engineering, you will build the macroeconomic models, simulation frameworks, and policy mechanics that scale Roblox’s virtual economy. By analyzing Robux currency dynamics, global pricing strategies, and developer exchange policies, your work will directly inform strategic decision-making, financial policy, and executive roadmaps on our road to connecting one billion users. You will: - Develop, build, and refine macroeconomic models to forecast and monitor Robux money supply, velocity, inflation/deflation dynamics, and overall virtual economy health. - Model and inform comprehensive currency exchange policies , encompassing fiat-to-Robux purchase pricing, regional purchasing power (PPP) adjustments, and Developer Exchange (DevEx) rates, to balance global user participation, developer incentives, and long-term platform sustainability. - Design and run counterfactual simulations (e.g. causal inference frameworks, agent-based modeling) to evaluate the impact of proposed monetary policies, sink/faucet adjustments, and marketplace fee changes before execution. - Analyze sink and faucet dynamics across the platform to balance liquidity, optimize developer economy mechanics, and prevent systemic economic imbalances. - Partner closely with Product and Finance leadership to translate complex economic data into actionable policy recommendations and sustainable growth strategies. - Establish robust economic indicators and monitoring systems to track real-time macro-health metrics, liquidity risks, and structural shifts in user behavior. - Communicate complex strategic findings and macroeconomic trade-offs to non-technical stakeholders to directly influence company-level roadmaps and economic policy decisions. - Promote technical excellence in quantitative policy analysis, econometrics, and simulation methodologies across the broader Data Science and Engineering team. You have: - 5+ years of industry or research experience applying quantitative economic modeling, econometrics, or simulation frameworks to analyze policy, marketplace dynamics, or user behavior. - Deep expertise in quantitative methodologies including time series forecasting (e.g., VAR, state-space models), causal inference (e.g., synthetic control, diff-in-diff), structural macro modeling (e.g., DSGE), and counterfactual simulation techniques (e.g., agent-based modeling). - Proven track record working with large-scale transactional or platform data to analyze micro-level user behaviors and aggregate them into macro-level economic insights. - Demonstrated ability to lead project areas from scratch , translating ambiguous business and policy questions into rigorous quantitative frameworks and iterative research deliverables. - Strong communication skills to explain complex economic trade-offs, risk scenarios, and simulation results to non-technical stakeholders in Finance and Product leadership. - An Advanced Degree (MSc or PhD) in Economics, Econometrics, Quantitative Finance, Statistics, Operations Research, Physics, or a related quantitative field. You are: - A systems thinker. - Curious and truth seeking. - A deep collaborator. You understand where your skills provide differential value and complement others, and how the strengths of others complement you. - Driven by strategic impact. You are passionate about informing high-stakes company decisions in complex, fast-moving environments. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $263,670 - $322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. In this role, you’ll own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency. Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users. Come build the AI-driven infrastructure powering the future of immersive entertainment. You Will - Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale. - Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges. - Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems. - Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users. - Work backward from user and product needs to architecture, and deliver ML solutions that improve platform engagement, safety, and content ecosystem growth. You Have - Possess or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas. - Deep expertise and curiosity in a relevant technical domain, such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems. - Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems. - A strong research track record, evidenced by multiple publications and presentations in rigorous peer-reviewed venues. You may redact age, date of birth, and dates of attendance/graduation from your resume. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SpaceXSI is hiring an Integrated Campaigns Manager focused on building demand generation and account-based marketing (ABM) programs to help us win and expand our most strategic accounts. You'll help run the campaigns that create demand for our products among enterprise buyers building programs for priority accounts, crafting stories that land with our target audiences, and executing the webinars, offers, nurture, and campaign deliverables that turn engagement into pipeline. This is an execution-heavy role with plenty of room to grow. You'll write the copy and execute the programs that carry each campaign, and bring a data-driven mindset to drive continuous optimization. It's a high-agency position for someone who loves to ship, wants to learn fast, and wants a direct line to revenue. This is an SF-based role and requires regular presence in our San Francisco office. What you'll do - Build and run programs for priority accounts and segments. - Design and run ABM programs for clusters of strategic accounts grouped by vertical, tech stack, use case, or buying-group pattern, with messaging, content, and offers tailored to each cluster, in partnership with sales, SDRs, and field marketing. - Scale what works into 1:many programmatic plays across a broader target list of prospects and customers, using intent, enrichment, and ad targeting to reach the right buying groups without hand-building every touch. - Map buying centers inside each account (VP Eng, CTO, platform and developer experience leads, security and procurement) and build multithreaded plays that reach each of them. - Turn account intelligence, intent, and usage signals into tailored campaign treatments, from personalized outreach and executive programs to events, direct mail, and sales plays. - Tell stories that land with technical buyers. - Shape the narrative, messaging, and offers for each campaign, and write the copy that carries it: briefs, emails, landing pages, ads, and account-specific content. - Develop engaging concepts and formats for virtual events (webinars, workshops, and exec roundtables), owning all aspects of production from idea to follow-up: select relevant topics, line up speakers from internal leaders and our customers, and make sure everyone is prepared. - Brief design and creative partners clearly and keep the story consistent across every channel and touchpoint. - Conceptualize and deploy creative demand gen offers - Come up with offers that give target accounts a reason to engage, like meeting makers, direct mail, digital engagement programs, and gifting. - Work with sales and SDRs on who gets each offer and how they follow up, and manage vendors on fulfillment, shipping, and budget. - Track every offer from send to meeting to pipeline so we know what to repeat. - Build thoughtful email campaigns and nurture programs - Develop and improve nurture sequences for prospects and customers, segmented by persona, account tier, and where they are in the journey. - Write and edit email copy, analyze performance, and come up with new ideas for content angles and CTAs that improve engagement. - Partner with our lifecycle and email owners to keep lists clean, segments accurate, and every send on brand. - Execute the deliverables that bring campaigns to life. - Turn campaign plans into finished work: write briefs for design, and build landing pages, emails, ads, and sales one-pagers. - Own launch checklists and timelines, coordinate with design, web, ops, and sales, and ship on time. - Report on how each campaign performed, share what you learned with the team and sales, and suggest what to try next. You may be a fit if - You're both left-brained and right-brained: as comfortable debating pipeline math as you are coming up with a creative campaign idea. - You write well. You can tell a compelling story, write copy that makes a busy engineering leader keep reading, and you have strong instincts for what good looks like. - You've supported ABM or integrated campaigns and understand the basics of account selection, buying groups, and multithreading in enterprise deals. - You're organized and detail-oriented, and you can juggle many deliverables and deadlines without dropping any. - You like working closely with sales, and you know how to earn trust with sellers. - You want ownership and high agency, and you'd rather ship and learn than wait for perfect information. - You can take a loose plan, bring structure to it, and get it shipped. - You're curious about AI and developer tools, and you use AI in your own workflow every day. Experience that helps - 3 to 5 years in B2B marketing, demand generation, or marketing operations, with hands-on time supporting ABM or integrated campaigns for enterprise or technical audiences. - Hands-on experience running webinars, direct mail or meeting-maker programs, and email nurture. - Familiarity with tools like Salesforce, a marketing automation platform, webinar platforms, direct mail or gifting platforms, and Clay or ABM and intent platforms. Bonus if you've used AI coding tools to query data yourself. - Experience with verticalized or persona-specific go-to-market motions. - A track record of campaigns you can point to with real results, and the writing samples to back it up.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As our Field Marketing Manager for Healthcare / SLED , you will be the primary growth engine and lead marketing architect for Healthcare and State, Local & Education (SLED) — responsible for pulling together people and resources to build a full GTM marketing motion that lands and expands some of the company’s largest, most critical named accounts in these verticals. This role sits in the Public Sector organization . You’ll help support Public Sector overall, with a clear focus on Healthcare and SLED, and you’ll collaborate across adjacent verticals where motions overlap (including Life Sciences events). We are looking for a high-energy, revenue-minded marketing strategist who can alternate between strategic pipeline and account planning with vertical sales and flawless execution of industry experiences for customer executives. If you are obsessed with driving pipeline from high-touch, standout programs and are a self-starter who thrives at the intersection of technical innovation, healthcare / public-sector narrative, and enterprise GTM, we want you. This is a remote role with travel for industry programs and customer engagements. What You’ll Do Pipeline Architecture & Vertical Ownership - Own the Healthcare / SLED GTM: Build and execute a data-driven marketing plan for Healthcare and SLED, and orchestrate core business partners into one motion aimed at must-win accounts. - Master the Land & Expand: Own the vertical pipeline target. Design and run the programs that help priority accounts land, expand, and adopt more of the platform, focused where the commercial opportunity is highest. - Creative Agility: Fearlessly think outside the standard playbook to deploy memorable in-person, virtual, and next-gen experiences — and the operational workflows that bring them to life. - Industry Narrative: Translate the Cursor (now part of SpaceXAI) mission into healthcare and SLED language — the problems these buyers already feel (clinical / payer / provider / state & education IT), the outcomes they are measured on, and why this platform is the answer. Partner with PMM and corporate marketing so the story stays sharp, consistent, and specific enough that a CIO, CMIO, or public-sector technology leader hears their world, not a generic AI pitch. - Sales Partner: Act as the strategic marketing partner to Healthcare and SLED sales. Lead planning calls, provide account-level insights, analyze vertical pipeline trends, lock alignment on priority accounts, and maximize the impact of every motion. Know what you run as Vertical vs what you plug into Enterprise Field formats. Support broader Public Sector needs as needed. Measurement & Operational Excellence - Event Orchestration: Obsess over the end-to-end details of every program — ideation, promotion, vendor management, onsite, and follow-up — going beyond day-of execution. - Data-Driven Iteration: Track every dollar spent against pipeline generated. Manage your vertical budget toward high-impact investments on critical accounts. - Feedback Loop: Serve as the eyes and ears of Healthcare and SLED. Feed Corporate and PMM real-time feedback on messaging resonance and competitive shifts. Your DNA - The Healthcare Vertical Owner: You assemble Sales, PMM, Enterprise Field, FE/Solutions, and CS/ADM into one motion aimed at pipeline on the company’s largest accounts, not just events. 5–7+ years of healthcare marketing / GTM experience is required (provider, payer, health systems, health tech, or adjacent). You know how to sell into healthcare buying centers and can partner credibly with sales on complex, regulated accounts. - The Revenue Mindset: You care about pipeline and closed-won, not leads. You speak sales and will be held to a number. - The Gritty Optimizer: A self-starter who can build a program from a blank page and tighten it with the data. - Exceptional Communicator: Sharp and persuasive, whether it’s a personal invite to a CIO / CMIO or a QBR for leadership. Technical & Tactical Toolkit - Field Presence: Ability to travel (~30%) to host industry programs, support Vertical Sales, and connect with customers in-market. - Event Craft: Experience producing high-end, white-glove executive experiences — including industry-flagship overlays (e.g. HIMSS / CHIME / HLTH-class motions) and 1:few vertical ABM — that stand out in a crowded market.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We are looking for a Senior Brand Designer to help shape how SpaceXSI shows up in the world. This role is built for someone who has built brand systems in fast-moving environments, cares deeply about craft, and brings an AI-first mindset to how creative work gets made. You’ll join the Brand Studio, the team behind the brand across the entire SpaceXSI ecosystem (from Grok and Grok Bot to X), and help shape both the brand system itself and how it comes to life in our campaigns. This is a hands-on role. Much of the foundation is still being built, so you’ll spend real time designing and making things yourself. It also comes with significant ownership: you’ll lead projects from first concept through final execution, and your work will help set the bar for how the brand evolves. What you’ll do - Brand system: Evolve and extend the visual identity (logo, typography, color, layout, imagery, and graphic language) and document it so other teams can apply it correctly. - Workflows & toolkits: Turn recurring design work into repeatable, AI-assisted workflows: templates, tools, and generators that let marketing, product, and other teams produce on-brand work without you in the room. - Campaigns: Concept and design campaigns end to end, from first idea through final production, across key visuals, launch assets, web, social, paid, out-of-home, and print. - Creative direction: Direct agencies and freelancers with clear briefs and candid feedback so the output meets the bar you’d set yourself. - Collaboration: Partner with marketing, product, engineering, and leadership; bring a brand point of view to new surfaces as they appear, and present your thinking clearly to senior stakeholders. - Range at speed: Move between projects quickly while holding a consistently high bar, and keep improving the process, not just the output. What you bring - 6+ years of brand design experience, in-house or at an agency or studio. - Fluency in AI coding tools, especially Cursor. You can build your own tools, scripts, prototypes, and simple web pages instead of waiting on engineering. - A portfolio that shows both brand system work and shipped campaigns. Bonus if it includes tools or workflows you built. - Sharp typography, layout, and art direction instincts. - A systems mindset: you naturally turn one-off tasks into reusable processes and think about how creative work scales. - Conviction in your design decisions and the ability to explain why they matter, to designers, marketers, and leadership alike. - Fluency in Figma and Adobe Creative Cloud. - Self-directed, fast, and energized by variety and ambiguity. Nice to have - Experience building or relaunching a brand identity at a fast-growing tech company. - Motion sensibility, enough to design with motion in mind and direct motion designers. - Experience leading agencies on large, multi-channel campaigns.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role We’re hiring Field Engineers to partner with prospective and strategic enterprise customers. As a Field Engineer, you’ll be the technical face of Anysphere in the field, helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows. You’ll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you’ll combine deep technical fluency with strong communication skills to drive adoption and influence product direction. What you’ll do - Partner with Account Executives to lead technical discovery, demos, and proof-of-concept engagements - Build trusted relationships with engineering leaders, architects, and developers, serving as their technical advisor - Translate customer requirements into solution designs, guiding them on best practices for rollout, prompt strategy, and context configuration - Develop and deliver technical presentations, whiteboard sessions, and hands-on workshops tailored to customer needs - Act as the customer’s technical advocate internally, influencing roadmap priorities and escalating feedback to Product and Engineering - Collaborate with post-sales teams to ensure a smooth handoff and successful customer onboarding - Maintain deep knowledge of Cursor’s capabilities and competitive landscape to position our value effectively - Support strategic account planning and help drive expansion opportunities with technical validation You may be a fit if - You have strong communication skills and executive presence, equally comfortable coding alongside developers or presenting to CTOs. - You have a deep understanding of the software development lifecycle, modern engineering org structures, and developer productivity challenges - You have hands-on technical ability, and while you don’t need to be a full-time engineer, but you should be fluent in technical workflows, AI tooling, and debugging complex environments - You are customer-obsessed with a knack for translating technical details into business impact - Speak fluent Korea and business level English

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. We’re hiring a Solutions Strategy & Operations Manager to help build the operating system for our Customer Success and Solutions teams. This role is critical to building our business with rigor and pace, helping us scale customer value fast. You’ll begin as a generalist supporting our Solutions Architect, Field Engineering and Forward Deployed Engineering functions, with the path to own a specific business unit end-to-end as we grow and scale. These teams are technical and experienced, and we’re looking for a strong strategy & ops partner who can collaborate and help us scale their impact. Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role There are early foundations in place, but much of the long-term system still needs to be built — from maturing key metrics that matter, the cadences that drive decisions, the playbooks that scale. This is a rare chance to build that system from the ground up and shape how a fast-growing, high-stakes function runs for years to come. This person will be a strategic thought partner and hands-on operator who is equally comfortable thinking big-picture with senior leadership and getting into the weeds to build the systems, models, and processes that let the org run on real data. They'll work cross-functionally with RevOps, GTM, and Finance to bring ideas to life quickly and iterate as the business evolves. What you’ll do - Establish key metrics and compensation models - Evaluate performance of the business, drivers and trends, and guide targeted action plans - Build, refine and optimize headcount and capacity models to ensure we make the right investments - Build, refine and optimize segmentation and coverage modeling to ensure we deliver the right service model that ultimately leads to revenue growth - Build and operationalize frameworks such as health signals, customer maturity models and corresponding playbooks that drive usage and growth - Build and operationalize dashboards that surface the right KPIs and insights at the right time to drive action across all levels of the organization - Build and operationalize an end-to-end operating cadence for the leadership team to support fast, informed decision-making - Serve as a trusted advisor to the leadership team; You can think big picture and also lean in to figure out how to get things done iteratively - Partner closely with cross-functional stakeholders in RevOps, Go to Market, Finance and more to bring concepts to life rapidly, and iterate and evolve together - Incorporate a global mindset into your work, taking into account local nuances and input and ensuring global plans stick regionally You may be a fit if - Experience in Sales or Customer Strategy and Operations - Experience with pre-sales (e.g. sales engineering), direct sales and technical services teams - Builder mindset - you are comfortable building from the ground-up and are adept at flexing between launch and iterate vs. going deep - Strong analytical and modeling skillset - Strong operations mindset - you have an eye for critical foundations such as capacity modeling, staffing, planning and process - Excellent stakeholder management skills, comfortable operating across levels and audiences to get things done - Strong project management skills, you can clearly outline what needs to happen and know how to keep your team informed and engaged It’s a plus if you have… - Consulting, finance and/or data science background - Customer-facing experience - Experience in Business Operations, Sales or Services strategy & ops - Experience with company strategy such as localization, pricing, etc. - Experience with consumption based pricing - Experience with customer frameworks such as health scores and maturity models — but with an open-mindedness to evolve them to meet our business needs

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Strategic Account Executive, Enterprise at SpaceXAI, you'll drive revenue growth across a named territory of large enterprise accounts in the Philippines. You'll work closely with engineering organizations, from CTOs to individual development teams, to understand how they build software, demonstrate how Cursor transforms developer productivity, and land and expand Cursor across their organizations. This role requires deep technical fluency, the ability to navigate complex enterprise buying processes, and a genuine passion for AI-powered developer tools. You'll be a foundational member of our enterprise sales motion covering the enterprise market for Philippines. You will be performing this role based in Singapore. What you'll do - Own a named book of enterprise accounts for Philippines; drive new logo acquisition and expansion revenue - Lead complex, multi-threaded sales cycles across Engineering, Product, Security, Procurement, and Legal - Become a trusted product expert; guide prospects through trials, evaluations, and large-scale rollouts - Build executive relationships and cultivate day-to-day champions within each account - Quantify value with clear ROI cases tied to developer productivity and AI adoption - Be the voice of the customer and influence the roadmap with actionable feedback - Partner closely with Field Engineering and our AI Deployment team to deliver outcomes from proof of concept to expansion You may be a fit if - You have 7+ years of closing experience in enterprise tech sales, ideally selling developer tools, technical SaaS, or emerging technologies - You have a consistent track record of landing new logos and exceeding quota through self-sourced pipeline generation - You're a true hunter - you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand - You're comfortable navigating complex sales cycles and selling to technical stakeholders, from ICs to CTOs - You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities - You're an excellent communicator who can build trust across all levels of an organization - You're passionate about AI and excited by the idea that transforming how software gets written is one of the most important problems to work on right now

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Commercial Account Executive at Cursor, you'll drive revenue growth by building strategic relationships with customers and helping them realize the full potential of Cursor for their development teams. You'll cover the full spectrum, from high velocity fast-growing startups to more complex Mid-Market deals, adapting your playbook to each. You'll work closely with engineering organizations to understand their development workflows, demonstrate how Cursor transforms developer productivity, and guide them through evaluation, implementation, and expansion. This role combines technical fluency with sales expertise to help companies reimagine how software gets built with AI. What you'll do - Win new business and drive revenue for Cursor. Find your way to the right people at prospective customers, educate them about AI-powered development, and help them succeed. You'll own the full sales cycle, from first call to close - Become a trusted product expert; guide prospects through trials, evaluations, and rollouts - Build and manage a healthy high velocity pipeline, meeting and exceeding quarterly targets - Lead multi-threaded sales cycles across Engineering, Product, Security, Procurement, and Legal - Develop executive relationships and day-to-day champions within each account - Quantify value with clear ROI cases tied to developer productivity and AI adoption - Design and execute innovative sales strategies; analyze market trends and translate high-level plans into targeted activities and campaigns - Be the voice of the customer and influence the roadmap with actionable feedback - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices You may be a fit if - You have 3+ years of closing experience in tech sales, ideally selling developer tools, technical SaaS, or emerging technologies - You have a consistent track record of landing new logos and exceeding quota and managing a high velocity of deals - You're a true hunter - you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand - You're comfortable navigating complex sales cycles and selling to technical stakeholders, from ICs to CTOs - You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities - You have a knack for bringing order to chaos and a genuine "roll up your sleeves" mentality - You're an excellent communicator who can present confidently and build trust across all levels of an organization - You're passionate about AI and excited by the idea that transforming how software gets written is one of the most important problems to work on right now

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Strategic Account Executive for Indonesia, you’ll be one of the foundational members of SpaceXAI’s enterprise sales team in the region. You’ll help large engineering organizations discover, adopt, and expand their use of Cursor, owning strategic accounts across Indonesia and working directly with engineering leaders, CTOs, developer platform teams, and procurement stakeholders. This is a rare opportunity to bring a product engineers already love into some of the most sophisticated technology, financial services, enterprise, and digital-native organizations and to help shape how software gets built in the AI era. What you’ll do - Own a named book of strategic enterprise accounts across Indonesia, driving new logo acquisition and expansion revenue - Run a disciplined, full-cycle sales process from prospecting and discovery through evaluation, negotiation, and close - Build and execute account strategies that connect SpaceXAI’s capabilities to the technical and business priorities of engineering leaders, CTOs, and developer platform teams - Create pipeline through outbound prospecting, executive mapping, inbound follow-up, partner referrals, and your own network - Partner closely with Sales Engineering, Product, and Customer Success to deliver high-quality evaluations and ensure customers realize value quickly - Navigate complex enterprise buying processes, including security reviews, legal negotiations, procurement, and multi-stakeholder approval cycles - Serve as the voice of Indonesia's enterprise customers internally, sharing market feedback and deal learnings with Product, Marketing, Customer Success, and GTM leadership - Help establish SpaceXAI’s enterprise presence in Indonesia by building repeatable motions, local market insights, and early customer references - Consistently meet and exceed quarterly and annual revenue targets You may be a fit if - You have 7+ years of enterprise B2B sales experience, ideally selling developer tools, infrastructure, cloud, security, AI, or other technical SaaS products to engineering-led organizations - You have experience selling into strategic or large enterprise accounts in Indonesia - You’re comfortable navigating complex buying committees across engineering, IT, security, legal, procurement, finance, and executive stakeholders - You’re a true hunter: you proactively build pipeline from scratch through outbound prospecting, creative sourcing, executive engagement, and persistent follow-up - You have strong command of pipeline management, account planning, and forecasting across a strategic book of business - You’re energized by technical products and can hold credible conversations with senior engineers, platform leaders, and CTOs about how Cursor fits into modern development workflows - You’re a self-starter who thrives in an early-stage, resource-constrained environment and can build process, playbooks, and regional learnings as you go - You care deeply about AI and believe transforming how software is written is one of the most important problems to work on right now

About the Role We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands. OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design. This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area. In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions. In this role, you will: - Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action. - Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design. - Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth. - Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences. - Communicate complex findings to executives and cross-functional partners with crisp recommendations, transparent assumptions, and clear tradeoffs. - Bring practical AI fluency to the work, using modern AI tools to accelerate analysis, synthesize evidence, improve workflows, and identify new ways data science can support business decision-making. - Help define the operating model for an emerging B2B data science capability, including how the team frames problems, engages stakeholders, evaluates opportunities, and turns insights into GTM action. You might thrive in this role if you have: - Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field. - Strong business judgment and a track record of translating ambiguous analytical work into decisions that business leaders can act on. - Experience working on B2B,, GTM or commercial strategy, monetization,, product growth, or similarly complex business problems. - Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions. - Ability to connect data across product, customer, sales, revenue, market, and operational contexts to form a coherent view of the business. - Consulting-style problem solving: you can structure a broad question, identify the highest-leverage analysis, manage uncertainty, and communicate a practical recommendation. - Excellent executive communication and cross-functional partnership. You can influence senior leaders, field teams, product partners, operators, and other data scientists with clear evidence and balanced judgment. - Comfort operating in a high-ambiguity, fast-changing environment where the team, roadmap, and stakeholder model are still taking shape. - Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support. - Experience in strategy consulting followed by data science work in technology, or data science work within a consulting analytics practice, is a strong plus. - An advanced degree is welcome but not required. We care most about your ability to combine analytical rigor, business judgment, and action-oriented communication. 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.

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 Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaboration with both internal teams and external partners - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - LLM inference optimization, batching, and caching strategies - Capacity-constrained scheduling or shared-resource test infrastructure - Solid understanding of multi-region deployments, request routing, load balancing, global traffic management - Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities - Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale - Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools - Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling - Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level - Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox - Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution - Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers - Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios - Work with cloud providers on the hardware and platform features that our workloads depend on - Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications - Software engineering experience in Linux systems programming, kernel development, or another low-level area - Strong programming skills in at least one systems language such as Rust, C, C++, or Go - Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc - Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management - Experience profiling and debugging performance issues at the system level - Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results - Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications - Experience building or operating a multi-tenant sandbox, serverless, or code execution platform - Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore - Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code - Experience with eBPF and kernel tracing tools - Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) - Experience with network isolation, high-performance networking, or building egress proxies and policy layers - Experience with sandboxes for AI agents, computer use, or reinforcement learning environments - Experience with GPU virtualization, accelerators, or performance work on machine learning workloads - Prior experience as a technical lead or mentor Representative projects - Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools - Designing a network egress policy layer so agents can reach approved services without exposing secrets - Running many thousands of parallel reinforcement learning environments with strong isolation between them - Building tracing tools that attribute latency and resource use inside a running sandbox - Reducing per-sandbox memory overhead to raise density on each host - Hardening the runtime against escape attempts found in internal red-team exercises The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. - At Roblox, we are growing and looking for a Technical Sourcer to help build, scale, and influence our recruiting landscape. We are a fun and collaborative team focused on recruiting engineering talent. This person is a strong communicator, collaborator, and leads by example. Successful Builders embrace change and we encourage bringing in fresh ideas and a culture of feedback. As a Technical Sourcer you will directly impact the growth of the company and support our scaling efforts. You Will: - Drive hiring for critical technical roles across Engineering, Machine Learning, AI, Research. - Proactively source and engage top talent through Gem, LinkedIn Recruiter, SeekOut, GitHub, arXiv, google scholar, and AI/ML research communities, amongst others. - Influence and improve processes to help the team work smarter, faster, and at scale. - Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, computer vision, and infrastructure automation. - Share talent market insights with hiring managers to guide decisions on leveling, compensation, and candidate profiles. - Mentor and coach hiring managers and interviewers, raising the bar on calibration, evaluation, and selection practices. - Champion a best-in-class candidate experience that reflects our values and culture at every stage of the process. - Ensure operational excellence with clean pipelines, accurate data, and strong ATS hygiene. - Use data and insights to diagnose bottlenecks, measure impact, and tell compelling stories to stakeholders. - Act as a strategic thought partner to technical leadership — bringing structured insights on global AI/ML talent dynamics and shaping long-term hiring strategies. You Have: - 10+ years of full-cycle recruiting experience, with depth in technical domains like AI, Machine Learning, or Data Science. - Proven ability to manage high-volume pipelines while delivering quality results - Demonstrated success hiring research scientists, ML engineers, applied AI practitioners, and data leaders in highly competitive markets - A strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation. - Experience utilizing an Applicant Tracking System to maintain candidate pipelines - A data-driven approach with the ability to analyze metrics, surface insights, and inform strategy. - A startup mentality and open to thinking outside of the box - Ability to be able to switch from sourcing to full-cycle recruiting on an as needed basis. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $159,260 - $200,630 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

R

Senior Manager, Machine Learning Engineering - Lea...

Negotiable

As a Senior Manager, ML Engineering , you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization. In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences. You will report to the Data Engineering Director of League Insights. This role is based out of our Los Angeles Headquarters. Responsibilities: - Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes. - Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. - Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff. - Set direction for MLOps efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence. - Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions. - Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments. - Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards. - Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact. - Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic. Required Qualifications: - Bachelor’s degree in Computer Science or a related field, or equivalent experience. - 10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems. - Strong expertise in computer science fundamentals, including system design, data structures, and algorithms. - Experience with Java, C++, Python, or similar languages in large-scale, production environments. - Deep knowledge of MLOps best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale. - Experience collaborating across multiple teams, departments, and disciplines to create solutions. - Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems. Desired Qualifications: - Master’s degree in Computer Science or a related field, or equivalent experience. - Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement. - Experience with large-scale experimentation platforms and online evaluation frameworks. - Experience leading full-stack teams. - Experience leading distributed or remote teams. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

S

Marketing Data Scientist

Negotiable

Scopely is seeking a Marketing Data Scientist to join our Marketing Analytics team in Barcelona, Spain , on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. As a Marketing Data Scientist, you will be part of the Marketing Analytics team, which is responsible for executing the cross-portfolio analytics initiatives for Scopely’s User Acquisition and Ads teams. What You Will Do - develop and maintain models that guide paid media investment, including spend-response curves, player lifetime value forecasts, user acquisition forecasts, and budget optimization approaches - measure the effectiveness and incremental impact of advertising using sound statistical methods - work on Ads initiatives to improve player experience while optimizing monetization, enhance our strategy in ads bidding, etc. - translate model outputs into clear recommendations on where and when to invest, explaining expected outcomes, uncertainty, and key assumptions to marketing and finance partners. - partner with User Acquisition, Ads, Finance, and Analytics Engineering teams to turn reliable data science into tools and workflows that support recurring marketing decisions What We're Looking For - 3+ years of experience as a Data Scientist. Background in performance marketing and mobile free-to-play gaming is strongly preferred - excellent analytical and problem-solving skills, with a track record of using data to drive meaningful outcomes - preferred experience in applying marketing modeling techniques e.g., media mix modeling, time series forecasting, segmentation/clustering - advanced SQL and hands-on Python skills for working with large datasets, developing analyses, and building reliable, scalable models; exposure to Google Cloud Platform and BigQuery is a plus - working knowledge of visualization tools: Looker (Preferred), QlikView, Tableau, or PowerBI - proficiency in developing and operating production data science workflows, including orchestration with tools such as Airflow and containerization with Docker; cloud deployment, CI/CD, and monitoring experience is a plus - strong communication skills and the ability to explain clearly to both technical and non-technical stakeholders, influencing decision-making through structured storytelling and data-evidence-based recommendations - Bachelor’s degree in a quantitative or scientific field, or equivalent practical experience, is a big plus - experience in the games industry, or interest in video/mobile games and the evolving in-game advertising field, is a plus but not required At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

C

Senior Customer Engineer, Strategic - Seattle, WA

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available location: Seattle, WA What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation Compensation may be adjusted depending on work location. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. For Washington: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Engineering Manager, Stablecoins

$200,000 – $288,000

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London or Austin or SF or NYC About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering high-volume, low-value machine-to-machine transactions using blockchain technologies and decentralized protocols. Here at Cloudflare, stablecoin payments are a core initiative developing blockchain-based settlement systems, programmable agent wallets, and cryptographic primitives to make the web payable at machine scale. As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that leverage Web3 wallets and decentralized rails to give domain owners and agents secure, scalable settlement options. Building these capabilities requires solving problems across high-throughput web infrastructure, low-latency transaction processing, digital wallets, and emerging agentic payment protocols. We bridge mainstream commerce rails with decentralized smart contract environments, enabling micropayments at Internet scale to keep the web payable . We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the role We are looking for an Engineering Manager to build and lead the engineering team across our stablecoin initiatives. You will be responsible for the people, execution, and engineering quality behind products that power decentralized agent transactions, such as Cloudflare’s stablecoin wallets and emerging micropayment rails that make web resources payable . You will partner closely with Product Management, cryptography experts, and engineering teams across Cloudflare to deliver current priorities and shape future opportunities. This is a management role for someone who is deeply technically credible in distributed systems, smart contracts, and cryptographic protocols. You will not be expected to write most of the code, but you should be able to understand the systems your engineers operate, challenge architectural decisions around blockchains (including transactions, RPCs, and execution + consensus clients) and step in when necessary. At the same time, we are looking for a manager, not a tech lead with direct reports. Your success will be measured by the quality and output of the team you build, the engineers you develop, and the systems and products they deliver. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What you'll do - Manage, coach, and grow engineers working across blockchain architecture, stablecoin wallets, and cryptographic payment channels to ensure the web remains payable for autonomous agents. - Own execution by establishing clear priorities, creating predictable delivery, and giving engineers the context and autonomy to own meaningful areas of the product. - Lead the development of a high-throughput blockchain leveraging cryptocurrency protocols and standards to enable ultra-low-latency micropayments. - Lead the engineering behind usage metering, pricing definition engines, outcome verification, and revenue attribution models tailored for agentic workflows. - Build capabilities that give businesses granular visibility and control over their agent-generated revenue streams. - Partner closely with Product Management to understand customer problems, shape the roadmap, and turn broad opportunities into clear engineering outcomes. - Interface directly with blockchain, wallet, and cryptography teams while scaling decentralized transaction pipelines on Cloudflare Workers and Durable Objects. - Balance near-term product delivery with thoughtful technical investments that allow promising ideas to grow. - Own the operational health of the systems in your area, including observability, incident response, cryptographic security, and long-term reliability. - Develop technical leaders and create space for engineers to lead architecture and implementation. Responsibilities We want you to love it here. This role is a great fit for you if: - You have led and developed a high-performing engineering team(s) and can point to what that team shipped and how the people on it grew. - You are technically credible with experienced blockchain and systems engineers. You can review a design, understand the trade-offs in smart contract security or decentralized architecture, and evaluate cryptographic protocols. - You are comfortable managing a team working across specialized crypto topics (like decentralized settlement, programmable wallets, and key management systems). - You care deeply about reliability and quality, particularly when the output of a system handles monetary transactions or machine authorization. - You have strong product judgment and enjoy working with Product Management to decide what is worth building, what needs improvement and what should not be built at all. - You are comfortable with ambiguity and with finding structure in areas where the opportunity is clearer than the roadmap. - You communicate clearly, give direct feedback, and can explain complex technical decisions to both engineers and non-engineers. Examples of Desirable Skills, Knowledge, and Experience - Strong technical grounding in blockchain architecture, smart contract environments, and cryptographic key management. Past experience building L1 or L2 blockchains is a plus. - Experience building or operating cryptocurrency infrastructure, digital wallet providers, or decentralized settlement protocols. Past experience working on consumer or enterprise cryptocurrency wallets is a plus. - Experience operating systems where correctness, reliability, and security matter as much as feature delivery. - A track record of hiring, developing, and retaining strong engineers. - Experience partnering closely with Product Management to shape and execute a roadmap. - Experience taking products or major capabilities from an ambiguous opportunity to a clear customer outcome. - Strong written and verbal communication. Bonus Points - Hands-on experience with decentralized payment protocols or blockchain frameworks (e.g., Bitcoin Lightning, Ethereum rollups). - Experience building hybrid fiat/crypto payment infrastructure, such as onramp/offramp providers or apps where cryptocurrencies are invisible to users. - Familiarity with Cloudflare’s developer platform (Workers, Durable Objects, KV) or edge computing architectures. - Experience turning complex underlying systems into useful payment or commerce products for a broad audience. - Experience with usage-based billing, metering engines, attribution systems, or complex commercial pricing models. - Previous experience working in payments or on payments technology (fiat or crypto) Compensation Compensation may be adjusted depending on work location. - For Bay Area based hires: Estimated annual salary of $200,000 - $288,000 - For NYC based hires: Estimated annual salary of $190,000 - $275,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

R

Senior Software Engineer, AI Security

Negotiable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence. As a Senior Software Engineer on the AI Security team, you’ll help build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety. You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start. This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities - Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows - Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls - Build and operate reliable, large-scale distributed systems that support AI-powered security use cases - Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents - Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities - Identify opportunities to improve platform performance, developer experience, reliability, and security through automation - Help shape the technical direction and architecture of Robinhood’s AI Security platform as the team and platform continue to grow What you bring - 5+ years of software development experience - 3+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption - Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents - Proficiency in Go or Python, with strong problem-solving and production debugging skills - Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka - Strong understanding of security fundamentals and experience incorporating security into the design of production systems - Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling - Proven experience delivering large engineering projects with meaningful, long-term impact - Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience - Ability to solve complex engineering problems and collaborate effectively across security and engineering teams What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $196,000 - $230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $172,000 - $202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $153,000 - $179,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.