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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: - Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight - Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them - Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic - Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain - Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identity and secrets management - Architect systems that protect sensitive assets including model weights, customer data, and training datasets - Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments Infrastructure security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation Secure frameworks - Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves - Partner with product, research, infrastructure, and other security teams to ensure framewo

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Systems Generalist, GPT Infrastructure

$293,000 – $445,000

About OpenAI OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale. As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem. About the Team The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products. One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform. We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy. The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships. About the Role We are seeking an experienced systems generalist who can work comfortably across the stack to help build an automated inference optimization platform. Given a workload, target hardware profile, compiler and runtime context, and a trusted verifier, the system runs durable optimization campaigns that generate, compile, execute, grade, and improve candidate kernels, runtime configurations, and serving-stack changes. You will design both the OpenAI-hosted control plane and the partner-side software that evaluates candidates on real accelerator hardware. The product must keep long-running workflows reliable, make performance results reproducible, and maintain clear trust boundaries around sensitive model and hardware information. This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and performance intuition. You will work closely with research, inference engineering, infrastructure, security, product, and strategic partners to turn a powerful research workflow into a scalable product. Key Responsibilities - Design, build, and operate durable APIs and control-plane services for multi-hour or multi-day optimization campaigns, including scheduling, retries, budgets, checkpoints, artifact lineage, and observability. - Build secure partner-side runner and grader software that can compile, execute, verify, and benchmark candidate artifacts on third-party accelerator hardware. - Integrate hardware profiles, ISA and toolchain context, compilers, runtimes, and inference-serving engines into a repeatable optimization workflow. - Turn research prototypes into reliable product surfaces with clear contracts, debuggable failure modes, reproducible outputs, and excellent developer ergonomics. - Develop correctness and performance evaluation systems spanning latency, throughput, memory use, utilization, and cost efficiency. - Build artifact, provenance, and qualification workflows that make optimized kernels, binaries, configurations, and reports safe to review and deploy. - Collaborate with Research, Inference Engineering, Infrastructure, Security, Product, and Strategic Partnerships to deliver production-ready solutions. - Drive technical architecture and execution across ambiguous, cross-functional initiatives that connect OpenAI systems with partner environments. Basic Qualifications - 8+ years of professional software engineering experience building large-scale distributed systems, infrastructure platforms, or cloud services, or equivalent depth of experience. - Strong programming skills in one or more of C++, Python, Go, or Rust. - Experience designing and operating highly available backend systems, APIs, job orchestration systems, or durable workflows for production workloads. - Strong understanding of distributed systems, Linux, networking, storage, containers, and modern cloud architectures. - Experience debugging complex systems and using measurement, profiling, and benchmarks to guide engineering decisions. - Proven ability to lead complex technical initiatives as a senior individual contributor and work effectively across organizational boundaries. Preferred Skills - Experience with AI infrastructure, inference-serving systems, or large-scale machine learning systems. - Experience with compilers, runtimes, kernel optimization, or performance engineering; familiarity with technologies such as LLVM, MLIR, Triton, CUDA, or ROCm is a plus. - Familiarity with GPUs, accelerators, hardware architecture, ISA concepts, or vendor toolchains. - Experience with inference-serving frameworks or engines such as vLLM, SGLang, Triton Inference Server, or similar systems. - Experience building developer platforms, external APIs, remote execution systems, or secure partner-facing infrastructure. - Experience working with strategic cloud, hardware, or infrastructure partners. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Software Engineer, Research Developer Productivity

$230,000 – $325,000

About the Team The Fleet team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. About the Role As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the development experience for both engineers and scientists. In this role, you will be responsible for building and maintaining systems that allow our research + engineering organization to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless and fast development cycle. You will help oversee and drive to the vision of how we should build, test and deploy software. You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system. Our current environment relies heavily on Python, Rust, and C++, which you will take ownership of and strive to transform into a state of the art development experience for research. Ultimately, your role will be to provide the necessary tools and metrics to support our fast-paced culture and ensure a stable, scalable platform for growth, while also fostering a seamless and low friction experience for OpenAI’s research. This role is based in San Francisco, CA. For a San Francisco role, we use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: - Have supported large monorepo development and deployment before - Are a proficient Python programmer working in large monorepos - Are proficient with Docker and Kubernetes - Experienced in CI/CD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Software Engineer, AI Safety

$207,000 – $385,000

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. About the Role At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. Your Responsibilities: - Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior. - Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values. . - Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure. You might thrive in this role if: - You have built and run production services in a high growth, rapidly scaling environment. - You can debug live issues and restore systems quickly. - You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety. - You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python. - You understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely. - You can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience. - You’re pragmatic. You know when to build a quick, good-enough fix, and when to invest in a robust, lasting solution. - You possess strong project management skills. You are self-directed and can remove roadblocks to drive projects to completion with minimal guidance. - You’ve deployed classifiers or machine learning models, or are excited to learn about modern ML infra. Our tech stack - Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. - While we value experience with these technologies, we are primarily looking for engineers with strong technical skills who understand the fundamental problems these tools solve, and can  quickly pick up new tools and frameworks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Networking Operating System Firmware Engineer

$266,000 – $445,000

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. - Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. - Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, and board-specific platform logic. - Extend and customize NOS services for routing, telemetry, control-plane state, and distributed automation. - Implement and debug route, neighbor, next-hop, and ECMP programming flows from control-plane intent through ASIC hardware state. - Build software mechanisms that distinguish control-plane acceptance, SAI/SDK acceptance, and explicit hardware programming acknowledgement. - Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. - Evaluate switch silicon SDK releases, track vendor deliverables, and validate platform requirements with vendors and ASIC partners. - Debug complex issues spanning kernel drivers, platform monitoring, NOS services, routing agents, orchestration services, hardware signals, ASIC state, and network topology. - Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. - Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. - Support factory bring-up and qualification all the way through mass deployment. - Collaborate on networking protocols and technologies that improve performance and reliability at AI factory scale. You might thrive in this role if you have - Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software. - Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code. - Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software. - Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations. - Understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry. - Experience with platform bring-up and board-level debugging across thermal, fan, power, transceiver, LED, watchdog, CPLD, or OSFP CMIS flows. - Experience with OpenConfig gNMI interfaces, YANG data models, or structured telemetry is helpful. - Familiarity with CI/CD pipelines, distributed config and state management, reproducible builds, and large-scale automation. - Ability to independently drive ambiguous NOS or platform feature development from problem definition through implementation, validation, rollout, and debugging across software, hardware, and vendor boundaries. - Familiarity with Rust or Go is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Software Engineer, Infrastructure - Analytics Plat...

$266,000 – $445,000

About the Team The Platform Analytics team builds the systems OpenAI researchers use to understand the quality and behavior of the models we train including what models are doing, why they behave in a particular way, and how that behavior changes across experiments. Neptune is a core part of this work. It ingests, stores, queries, and visualizes large volumes of metrics from pretraining, post-training, and reinforcement learning. Hundreds of researchers depend on these systems in their daily work to compare experiments, debug unexpected behavior, and decide what to try next. Our scope is broader than metrics. We also build platforms that help researchers analyze samples, traces, evaluation results, and other structured or unstructured data through dashboards, APIs, and increasingly agent-driven workflows. These systems need to remain fast, reliable, and understandable as the scale and complexity of research change quickly. We are not trying to become a consulting team that builds a separate solution for every research project. We work directly with researchers to understand recurring problems, then turn them into reusable infrastructure and platform capabilities that many teams can build on. About the Role We’re looking for a hands-on experienced software engineer who can take ownership of a critical system and drive it from problem definition through production adoption. This person should be able to own a platform such as CacheHouse end to end: define its technical direction, design its data model and storage architecture, integrate it with several research dashboards and workflows, guide one or two engineers, and ensure the system works reliably for its users. The right candidate should already bring the technical judgment, ownership, and execution expected at this level. The primary learning curve should be OpenAI’s stack and research problem space, not learning how to lead a complex engineering effort or deliver a production system. You will work directly with researchers and the engineers supporting them. You’ll need to understand what users are actually trying to accomplish, distinguish the underlying problem from a proposed feature, and translate recurring needs into simple, durable platform components. In This Role, You Will - Own critical systems across architecture, implementation, integrations, deployment, monitoring, adoption, and whatever else is required to make them useful. - Design, build, and operate the ingestion, storage, retrieval, and query systems behind research analytics at OpenAI. - Build platforms for analyzing both structured metrics and unstructured research data, including samples, traces, evaluation results, and model-behavior data. - Reason below typical service abstractions about algorithms, data structures, concurrency, storage layout, distributed systems, query performance, and failure modes. - Make architectural tradeoffs across ingestion-time processing, data models, storage formats, indexing, query execution, caching, and visualization performance. - Work directly with researchers to understand what they are trying to learn, ask the right questions, and challenge a requested solution when a simpler or more effective approach exists. - Recognize when several teams are solving the same problem and turn those patterns into shared infrastructure, APIs, platform components, or agent-driven workflows. - Write code, investigate production issues, make realistic estimates, guide other engineers, and think through testing, rollout, observability, and rollback. - Keep solutions as simple as the problem allows. Introduce complexity only when correctness, scale, latency, or reliability genuinely require it, and address the largest bottleneck first. You Might Thrive in This Role If You - Have owned a critical distributed system or research platform end to end and can explain how you took it from an ambiguous problem to reliable production adoption. - Have experience with high performing programing languages (Rust or C++), including performance profiling, concurrency, async execution, memory behavior, serialization, I/O, networking, and failure analysis. - Bring deep expertise in at least one relevant area such as distributed databases, storage engines, analytics systems, telemetry, logging, search, ingestion, or query execution. - Can reason carefully about partitioning, replication, consistency, retries, backpressure, event lineage, duplicate or delayed data, overload, migrations, and failure isolation. - Have experience with ClickHouse or similar OLAP, columnar, time-series, or high-throughput analytical systems. Direct ClickHouse experience is helpful but not required. - Bring strong computer science fundamentals and algorithmic reasoning. Competitive-programming experience is welcome but not required. - Already use coding agents regularly and have opinions about how AI tools change software development, product interfaces, and engineering leverage. - Enjoy working directly with researchers and other highly technical users: understanding their constraints, debugging ambiguous problems, explaining tradeoffs, and closing the loop after shipping. - Have the judgment to focus on the largest practical bottleneck rather than expanding every project into a complete platform rewrite. - Are a strong engineer first. Clear communication and business judgment are non-negotiable, but your credibility comes from building and operating systems that work. Why This Work Matters Researchers need reliable ways to understand model quality, behavior, and reasoning across frontier training and evaluation workflows. When analytics are slow, unavailable, or unable to express a new question, research slows with them. The systems you build will help researchers move from raw metrics, samples, traces, and model outputs to useful understanding. Better latency, reliability, and reusable platform capabilities can compound across hundreds of researchers and many of OpenAI’s most important research efforts. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Systems Software Engineer, Management Plane

$266,000 – $445,000

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: - Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics. - Own integration and acceptance of partner and vendor software releases, including requirements, code and artifact review, reproducible builds, CI, regression monitoring, version tracking, acceptance criteria, and launch-readiness evidence. - Build and maintain automation and CI infra for testing and managing systems in our lab - Define and debug hardware management protocols across accelerators, host systems, management controllers, firmware, and platform services, including interfaces such as I2C, SMBus, PMBus, PCIe, Ethernet, GPIO, UART, and JTAG. - Build system health monitoring, telemetry, remote diagnostics, and recovery paths that make hardware failures diagnosable in the lab, at manufacturing partners, and in production data centers. - Develop validation and test automation for board bring-up, rack bring-up, qualification, manufacturing readiness, deployment readiness, and long-term reliability. - Convert engineering releases into manufacturing-ready software recipes: images, versions, logs, limits, remediation mapping, provisioning hooks, secure artifact handling, and traceable data export. - Debug complex production issues spanning hardware signals, BMC firmware, BIOS/UEFI, kernel drivers, platform services, network topology, PCIe behavior, power, thermals, boot, provisioning, and manufacturing test. - Partner with hardware, firmware, security, networking, infrastructure, manufacturing, operations, and external engineering teams to define software contracts, unblock bring-up, and drive issues to closure. - Produce durable architecture notes, runbooks, validation records, and decision documents that help OpenAI and partner teams reproduce, operate, and improve the platform. You might thrive in this role if you: - 7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in low-level system software, embedded software, firmware, BMC software, platform software, device drivers, or hardware diagnostics. - Strong programming skills in C, C++, Rust or similar systems languages, with experience building reliable software for real hardware. - Experience with Linux-based hardware platforms, embedded Linux, OpenBMC, Redfish, BMCWeb, IPMI boundaries, BIOS/UEFI, bootloaders, firmware update systems, kernel drivers, RTOS, or fleet management software. - Strong knowledge of hardware/software interfaces such as I2C, SMBus, PMBus, SPI, PCIe, Ethernet, USB, UART, GPIO, JTAG, power controllers, board-level debug tools, or protocol analyzers. - Demonstrated ability to debug live hardware using logs, packet captures, firmware traces, bus captures, lab hosts, BMC journals, Linux tooling, and carefully controlled experiments. - Experience with hardware bring-up, manufacturing or qualification testing, system diagnostics, release validation, or deployment of high-performance compute, accelerator, server, networking, storage, or embedded platforms. - Ability to reason across software, firmware, hardware, manufacturing, and operations boundaries, and to turn ambiguous problems into clear requirements, designs, tests, and decisions. - Proven track record working with external vendors, manufacturing partners, or partner engineering teams to define deliverables, review technical work, and drive issues to closure. - Familiarity with platform security topics such as secure boot, firmware signing, device provisioning, attestation, certificate handling, trusted update flows, or access-control design is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities - Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Develop measured boot implementations and runtime integrity monitoring - Create reference architectures and security requirements for bare-metal deployments - Integrate security controls with infrastructure teams without impacting training performance - Prototype and validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware analysis pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming (C, Rust, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Track record of designing security architectures for complex, distributed systems - Experience with supply chain security - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Experience with confidential computing technologies and hardware-based TEEs - Knowledge of SLSA framework and software supply chain security standards - Experience securing large-scale HPC or cloud infrastructure - Contributions to open-source security projects (coreboot, CHIPSEC, etc.) - Background in formal verification or security proof techniques - Experienc

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. Location : Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. What your day will look like The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. - Work across the entire Linux stack, from kernel, networking, storage, to applications, - Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark, - Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud), - Collect customer business requirements and advise them on Ubuntu and relevant open source applications, - Grow a healthy, collaborative engineering culture in line with the company values, - Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients, - Liaise with

O

Electrical Engineer, Robotics

$287,000 – $423,000

About the Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We're looking for an experienced Electrical Engineer to help develop the next generation of robotic systems at OpenAI. This role spans the full lifecycle of hardware development, from early concept exploration and prototyping through circuit design, component selection, PCB layout, bring-up, integration, and deployment. Engineers in this role are expected to independently drive significant hardware efforts from initial concept through deployment. You will translate ambiguous goals into concrete engineering plans, make key technical decisions, coordinate closely with cross-functional partners, and own execution through the iterations required to deliver a successful system. Many of the systems we build are still being defined. You will work closely with mechanical, firmware, software, controls, and research teams to evaluate new ideas, develop novel hardware, and integrate it into robotic platforms. Success in this role requires strong engineering judgment, comfort operating in ambiguous spaces, and the ability to balance rapid experimentation with the discipline required to build reliable and scalable systems. The ideal candidate enjoys building things from first principles and is equally comfortable evaluating a new technology, debugging a prototype on the bench, reviewing PCB layout details, and driving system integration efforts. You should be able to move quickly when appropriate, but also know when investing in robustness, simplicity, or infrastructure will create leverage for future development. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will: - Own significant portions of the electrical architecture for compact, highly integrated robotic and electromechanical systems, including sensing, communication, power distribution, and actuator interfaces. - Design and implement compact electronics spanning circuit design, component selection, PCB layout, bring-up, validation, and deployment. - Build and validate hardware in integrated robotic systems, driving issues from first observation through root cause and design resolution. - Partner closely with mechanical, firmware, software, controls, manufacturing, and research teams to deliver coherent system-level solutions. - Make thoughtful engineering tradeoffs across performance, size, power, reliability, manufacturability, and iteration speed. You might thrive in this role if you: - Have 6+ years of experience developing electrical systems for robotics, consumer electronics, medical devices, wearables, cameras, or other tightly integrated electromechanical products. - Have personally owned hardware from concept through PCB layout, bring-up, validation, and deployment. - Enjoy designing compact, high-density electronics that must fit within severe mechanical constraints. - Have experience with technologies such as BGAs, rigid-flex assemblies, fine-pitch interconnects, micro-coax, FPCs, dense connector systems, or similar packaging approaches. - Can reason across electrical, firmware, and mechanical boundaries when making design decisions. - Are comfortable taking ownership of loosely defined problems and turning them into working systems with limited direction. - Have partnered closely with cross-functional teams to translate product goals into practical hardware systems. - Enjoy building and validating integrated prototypes where mechanical, electrical, firmware, and sensing systems are developed together. - Enjoy collaborating closely with and supporting the growth of other engineers on the team. Additional, preferred qualifications: - Experience with GMSL, MIPI/CSI, FPD-Link, or other high-speed camera interfaces. - Experience with multi-board robotic or electromechanical systems that include distributed sensing, actuation, and real-time communication. - Experience bringing hardware through EVT/DVT-style builds, low-volume production, or contract-manufacturer-supported builds. - Familiarity with writing bring-up, test, or diagnostic firmware in C, C++, Rust, or Python. 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 Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Build automation to support datacenter fleets at scale. - Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications - Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. - End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. - Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). - Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). - Ability to communicate clearly and build consensus with a wide range of stakeholders. - Comfort navigating ambiguity and making progress on complex, cross-functional problems. Preferred qualifications - 8+ years of experience in datacenter infrastructure management, or a closely related discipline. - Hands-on experience with GPU or AI a

Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. Riot’s Singapore Efficiency team builds the technology that lets our creative teams do their best work. Animation carries some of the most time-consuming technical work in the studio, including retargeting, cleanup, foot-locking, and rig wrangling, and this role is about taking that load off animators so they can spend more time on performance and expression. You will be reporting to the Sr Manager, Machine Learning Engineer. As a Staff Machine Learning Engineer, Animation , you’ll design and ship ML tools that accelerate the technical scaffolding around animation, from motion processing to rig-related workflows, and integrate them into the way animators already work. Responsibilities: - Build assistive animation tooling, drawing on motion synthesis, motion matching/blending, retargeting, and physics-based character control, to remove mechanical steps from the animator’s workflow. - Partner with animators and tech artists to target costly keyframing, cleanup, and retargeting work and ship tooling that shortens it. - Define and run evaluations for motion quality (naturalness, foot-sliding, responsiveness) and quantify the time returned to animators. - Follow developments in motion generation and character control and judge what holds up on production rigs and within runtime budgets. Required Qualifications: - Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence. - Animation specialization: Deep, proven expertise in motion and character-animation ML, covering motion synthesis, motion matching, retargeting, physics-based control, and reinforcement learning for character control. - At least 5 years of experience applying Machine Learning to real-world problems, with a demonstrated record of delivering impactful, end-to-end ML solutions in Animation in a fast-paced environment. - Evidence of working on state-of-the-art approaches , demonstrated through peer-reviewed publications (e.g. SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, CVPR) and/or shipped projects, open-source contributions, or production systems in Animation that pushed the technical frontier. - Proficiency in programming languages such as Python, C, C++, or C#, and strong hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX. - Strong understanding of statistical analysis, experimental design, and evaluation techniques. - Deep, hands-on experience with Generative Models, including motion diffusion and flow matching models, VAEs, and autoregressive/transformer motion models, applied to building artist-assistive tools and acce

About the Team The ChatGPT organization at OpenAI supports our mission by building products that bring cutting-edge AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows. We work at the intersection of research and product, partnering closely with researchers, designers, product managers, and platform engineers to bring state-of-the-art image generation capabilities to life across ChatGPT and our mobile applications. Millions of users rely on these experiences every day to create, communicate, learn, and build. About the Role We are seeking an experienced Android Software Engineer to build and improve image generation experiences within the ChatGPT Android app. You will help define how users create, edit, and interact with visual content powered by the latest multimodal AI models. This is an opportunity to work on a highly visible product area, translating cutting-edge AI capabilities into intuitive, performant, and delightful mobile experiences used by millions around the world. ChatGPT's Android app already enables users to generate and transform images directly from their devices, and we're just getting started. In this role, you will: - Build and ship new Android features that power image generation and image editing experiences. - Create intuitive user experiences that make advanced AI capabilities feel seamless and accessible. - Collaborate closely with Product, Design, Research, and Engineering teams to bring new multimodal capabilities to production. - Drive improvements in app performance, reliability, architecture, testing, and developer tooling. - Optimize media-heavy workflows, rendering performance, networking, and responsiveness across a wide range of Android devices. - Own projects end-to-end—from ideation and implementation through launch, measurement, and iteration. - Help shape the future of AI-powered creativity on mobile. You might thrive in this role if you: - Have deep experience building Android applications using Kotlin and modern Android development frameworks. - Have shipped consumer-facing mobile products at scale and care deeply about performance, quality, and user experience. - Enjoy working on highly cross-functional teams and collaborating closely with product, design, and research partners. - Are excited by multimodal AI and the opportunity to bring cutting-edge image generation technology to millions of users. - Have experience building media-rich, graphics-intensive, camera, photo, video, or creative tooling applications. - Thrive in fast-moving environments where you can help define both the product and technical direction. 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.

By applying to this role, you will be considered for engineering roles across all teams at Perplexity. WE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and platform systems for Computer - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth. QUALIFICATIONS - 4+ years of professional software engineering experience. - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Kotlin, Swift, Rust, Java, or C++. - Experience building and operating production systems at a meaningful scale. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Founded a company or initiative. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

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. Location: Hybrid — New York. We are only considering candidates working currently in the New York metropolitan area. About the Role & the Team Customer Engineers on the Digital Native Enterprise team work with Cloudflare's most innovative and high-growth accounts — Cloud-native, technologically advanced companies building at internet scale. This role focuses on both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a builder with a deep technical foundation and a commercial mindset, capable of engaging from the engineer in the weeds to the executive in the boardroom — across Application Development, Performance, Security, and Infrastructure. As a Customer Engineer, you are a technologist embedded within the GTM organization. You own the technical relationship from initial discovery through onboarding, adoption, renewal, and expansion. You'll be delivering architectural value and measurable business outcomes across the entire customer lifecycle. You will report to the Regional Customer Engineering Leader and partner closely with your aligned Account Executives. What You'll Do Technical Validation (Pre-Sales) - Lead technical discovery, design bespoke architectures, and deliver compelling demos and Proofs of Concept (PoCs) across Cloudflare's portfolio — Security, Networking, and Developer Platforms - Build technical champions and executive relationships within target accounts - Represent Cloudflare at industry events, developer communities, and cybersecurity conferences Customer Adoption & Value Realization - Serve as the primary technical contact from contract signature through full platform adoption - Lead and oversee technical onboarding and implementation — you are the engineering relationship, not a handoff - Proactively monitor customer health telemetry, resolve integration bottlenecks, and ensure rapid time-to-value Commercial Accountability & Expansion</p

O

Software Engineer, GPT Infrastructure

$293,000 – $385,000

About the Team The GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities. We enable OpenAI workloads to be qualified and optimized across new accelerator platforms without requiring a one-off port and tuning effort for every hardware target. Our work spans distributed systems, model execution, compilers and runtimes, performance engineering, secure partner integrations, evaluation systems, and developer tooling. We build the infrastructure that makes optimization workflows automated, reproducible, and trustworthy. About the Role We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries. Key Responsibilities - Design, build, and operate APIs and control-plane services for long-running workload qualification and optimization campaigns, including scheduling, retries, checkpointing, resource budgets, and observability. - Build secure partner-side execution and evaluation software that can compile, run, verify, profile, and benchmark candidate artifacts on accelerator hardware. - Integrate model workloads, hardware profiles, compiler toolchains, runtimes, serving engines, and distributed-execution backends into a repeatable platform. - Develop correctness and performance evaluation systems spanning output fidelity, latency, throughput, memory footprint, accelerator utilization, communication efficiency, scaling behavior, and cost efficiency. - Automate the generation, evaluation, and improvement of kernels, runtime configurations, parallelization strategies, and serving-stack changes. - Diagnose performance and correctness issues across model code, kernels, compilers, runtimes, memory systems, networking, collective communication, and hardware. - Build artifact-management, provenance, regression-testing, and qualification workflows for kernels, binaries, configurations, evaluation results, and deployment reports. - Turn experimental research workflows into reliable product surfaces with clear interfaces, actionable failure modes, and strong developer ergonomics. - Collaborate with Research, Inference Engineering, Runtime and Compiler teams, Infrastructure, Security, Product, and Strategic Partnerships to onboard and optimize new compute platforms. - Drive technical architecture and execution across ambiguous initiatives spanning OpenAI systems and partner environments. Qualifications - Strong software engineering experience building distributed systems, infrastructure platforms, production services, developer platforms, or orchestration systems. - Proficiency in one or more systems-oriented languages such as Python, C++, Go, or Rust. - Experience designing and operating APIs, job orchestration systems, durable workflows, or large-scale backend services. - Strong understanding of Linux, networking, storage, containers, distributed execution, and modern infrastructure architectures. - Ability to reason about model execution and diagnose problems across software and hardware boundaries. - Experience using profiling, tracing, benchmarking, and measurement to guide engineering decisions. - Strong ownership and the ability to work effectively across research, engineering, security, product, and external-partner teams. Preferred Skills - Experience with AI infrastructure, model inference, distributed ML systems, or inference-serving platforms. - Familiarity with GPU or accelerator architecture, memory hierarchies, interconnects, collective communication, and distributed model execution. - Experience with compilers, runtimes, kernels, or performance engineering using technologies such as CUDA, ROCm, Triton, LLVM, or MLIR. - Familiarity with inference engines or serving systems such as vLLM, SGLang, Triton Inference Server, or comparable internal systems. - Experience with model partitioning, sharding, tensor or expert parallelism, and compute–communication tradeoffs. - Experience building remote-execution systems, secure partner-facing infrastructure, evaluation harnesses, or artifact pipelines. - Experience with automated optimization, search systems, coding agents, or evaluator-driven systems that iteratively improve kernels or runtime configurations. 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.

As a Staff Software Engineer, Engine & Tools on an unpublished R&D product, you will be responsible for designing and implementing AI/ML driven tools and features. You will work closely with designers, producers, and other engineers to understand their needs, and will be hands-on in conceptualizing, planning, implementing, and maintaining AI-powered solutions to increase developer efficiency. We’re looking for someone who is passionate about empowering their team to deliver great player experiences, works well in cross-disciplinary teams, is aware of the latest trends, and finds practical applications of AI/ML technologies to current and future development challenges. Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. You will report to an Engineering Manager supporting the Tech Foundations team within an unpublished R&D product. This is a full-time role, based in Sydney, Australia. Internal Job Title: Software Engineer III. Responsibilities: - Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements - Partner with engineering leaders to help define the team’s future vision for AI-based developer tooling and workflows - Lead the application of AI/ML systems to solve developer and player facing problems - Architect and help implement the foundational elements of the game’s tools ecosystem - Collaborate with artists, designers, QA, and fellow engineers to scope, architect, implement, and test AI/ML-based solutions - Keep up with technical developments in the industry relating to AI/ML and find practical applications that help solve the team challenges - Partner with central teams to share AI-based solutions across Riot’s portfolio - Model the team’s best practices for tools architecture and implementation - Mentor engineers across multiple levels as the team scales, and provide feedback that supports their technical growth - Support and advance the team’s adoption of AI/ML tools for game development through mentorship, documentation, and advocacy - Provide documentation and trainings on new tools and workflows to internal customers Required Qualifications: - 8+ years (or equivalent depth) of professional experience in software engineering, including experience delivering live or shipped products at scale - 3+ years (or equivalent depth) working on game development tools & C++ - Experience in Unreal Engine and awareness of upcoming tools in game development - Experience working with AI/ML systems in a production-ready environment - B.S. in computer science or equivalent experience - Proven ability to navigate ambiguity and influence cross-functional stakeholders using strong communication skills across technical and non-technical audiences Desired Qualifications: - Applied knowledge in one or more of the following: reinforcement learning, imitation learning, decision-making under uncertainty, LLM, AI planning, or multi-agent systems - Experience working with modern ML/data science libra

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth, creative, analytics, and regional marketing to drive revenue through self-serve and sales motions. We work globally, across all Stripe offerings and with all company segments - from startups to the largest enterprises. - In this role, you’d be joining a global, cross-functional team dedicated to testing and scaling cutting-edge acquisition channels - Our team helps Stripe increase the GDP of the internet by ensuring our web presence is perfectly optimized for the next generation of artificial intelligence and search technologies What you’ll do Stripe is seeking an AEO and GEO Marketing Manager to lead the channel. This individual will play a critical role in growing new user acquisition from platforms including ChatGPT, Perplexity, and Google AI Overviews. The scope of the role includes Generative Engine Optimization (GEO), also known as Answer Engine Optimization (AEO) or Large Language Model (LLM) Search Optimization, improving AI agent experience, and integrating AI capabilities to improve the performance and efficiency of search and answer engine channels. This individual will spearhead efforts by developing and executing a roadmap of activities and experiments to improve answer engine performance. They will have the opportunity to work closely with cross-functional partners including Growth Marketing, Content Marketing, Engineering, and Analytics at Stripe. Responsibilities - Lead the growth and user acquisition strategy for the Answer Engine Optimization channel - Optimize Stripe.com so artificial intelligence agents can efficiently access and take action on behalf of users - Spearhead the development and integration of artificial intelligence capabilities to improve the efficiency of search and answer engine channels - Deliver regular reports and updates on channel performance to track progress and identify new opportunities - Partner with content, engineering, and data analytics teams to build a comprehensive testing roadmap Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 5+ years of experience creating and executing search engine optimization strategies, with direct experience with answer engine optimization and generative engine optimization - Proven technical experience making websites SEO and AEO-friendly - Experience analyzing data and in dashboards and reporting software such as Tableau, Looker, Adobe Analytics, or Google Analytics to drive growth de

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture. We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer. The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia. What you'll do As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide. Beyond assessments, you'll design and build offensive tooling and automation that amplifies the team's impact. You'll leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company. Responsibilities - Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure - Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios - Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams - Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity - Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks - Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required - Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage - Build internal platforms and workflows that enable scalable, repeatable offensive operations - Contribute to internal s

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise. What you’ll do Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities - Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven. - Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. - Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe. - Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. - Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team. - Contribute to broad data science initiatives as a member of Stripe's data science management team. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - A PhD, MS, or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) - You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience. - You've demonstrated expertise in designing metrics and guiding business decisions with data. - You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. - You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. - You work very well cross-functionally, and are ab

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Growth team is on a mission to acquire, convert, and grow millions of merchants globally across the full Stripe suite of financial products. We're a cross-functional team of engineers, scientists, marketers, designers, and product managers that deliver the insights, algorithms, internal systems and tools, and user-facing experiences that fuel our growth. We help businesses around the world find Stripe, get started, and grow. As part of the Growth Engineering team, you'll build the systems, products, internal tools, and customer-facing experiences that power intelligence behind our go-to-market and product-led growth. This includes building ML-powered recommendations and growth experimentation engines, multi-channel notification systems, and key growth-related customer experiences (e.g., onboarding flows, user dashboards, product recommendations). What you'll do As a full-stack engineer on the Growth team, you'll build and ship experiments and product improvements across stripe.com and the Dashboard to help businesses find and get started on Stripe. You'll work on critical parts of the funnel for self-serve users, ensuring their experience on Stripe is consistently high-quality. With other engineers and data scientists, you'll turn ML-powered recommendations, messaging, and experimentation into impact that moves company metrics. Responsibilities - Build and maintain scalable systems and customer experiences that help businesses discover, onboard, and grow with Stripe products. - Develop high-quality, robust backend APIs in Ruby that power responsive frontend experiences using React, JavaScript, and CSS. - Implement and iterate on ML-driven recommendations, experimentation frameworks, and growth optimization features. - Work with data scientists and product managers to translate growth hypotheses into technical implementations and A/B tests. - Contribute to shared platforms and tools that enable rapid experimentation across growth initiatives. - Debug production issues across the full stack and participate in on-call rotations. - Write maintainable, well-tested code that follows team conventions and best practices. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 2+ years of industry software engineering experience with strong coding skills in any programming language (we understand new languages can be learned on the job, so our interview process is language agnostic) - Experience delivering small projects independently and contributing to medium projects with guidance - Strong collaboration skills, with the ability to work across work streams within your team and contribute to your peers' success - Ability to thrive with a high level of autonomy and responsibility, and an entrepreneurial mindset - Deep care for users'

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team AI and stablecoins have brought upon a renaissance of innovation in the internet economy. Products like the Link AI Wallet and stablecoin cross border payments are signs of a rapid transformation in the way people pay. Underpinning this new technology is access to the same network of banks and financial institutions that consumers and businesses have relied on for decades. Now more than ever, bank accounts need to transform into powerful tools to unlock this new age of commerce. The Financial Connections team is building the connective tissue between banks and the internet economy. We’re building a platform to make ergonomic, portable access to banking data seamlessly and securely available to consumers and businesses around the world. Today, we power consumer experiences like Link Instant Bank Payments and merchant experiences like Stripe Capital. We’re on a mission to help consumers do more with their bank accounts, and we’d love for you to be a part of our story. What you'll do Integration Reliability Engineers (IREs) are a critical component of the organization's success. We sit at the intersection of product engineers, financial partners, and AI systems, connecting them to ensure that nothing is lost in translation and that the systems underpinning Stripe’s open banking ecosystem remain reliable at scale. Operate, maintain, and expand banking integrations - Become a domain expert in open banking, financial data access, and data aggregation—the systems, the partners, and the failure modes - Own integration health end-to-end: triage degradations, diagnose root causes, coordinate with financial partners, and drive resolution with urgency - Handle technical inquiries from internal Stripe teams and external partners, often requiring deep investigation and targeted code or configuration changes - Build and launch new financial partner integrations using agentic tooling - Conduct complex data analysis to investigate product performance, scope partner requirements, and surface reliability insights Build agentic systems and automation - Design, build, and ship end-to-end software systems that streamline and automate high-volume operational tasks - Operate as a Human-in-the-Loop reviewer for LLM-based agentic processes that carry meaningful risk, applying your domain expertise where automation alone isn't sufficient - Identify inefficient or manual processes and eliminate them through AI-powered automation, code changes, or driving complex process improvements across Stripe Partner and scale - Serve as a technical point of contact for financial partners—troubleshooting issues, aligning on product usage, and managing relationsh

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. PROGRAMMING - 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 programming 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 programmers - 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 We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information <

Software Engineer Argentina; Uruguay Software Engineer - Robotics & Autonomous Systems Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems. You Will: - Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets - Build ML training and fine-tuning pipelines using Scale's robotics data - Work across backend (Python, Node.js , C++), and frontend (React, TypeScript) stacks to build end-to-end solutions - Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation - Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development - Design comprehensive monitoring and evaluation frameworks for robotics models and data quality - Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors - Collaborate with ML engineers and researchers to bring robotics research into production - Deliver features at high velocity while maintaining system reliability and performance Ideally, You Have: - At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. - Strong programming skills in Python and TypeScript/Node.js for production systems - Experience with React and modern frontend development for 3D interfaces - Concurrent and real-time systems, with special attention to timing constraints - Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker) - Experience with databases (MongoDB, PostgreSQL) and data processing at large scale - Track record of working with cross-functional teams including ML engineers, researchers, and customers - Strong communication skills and ability to operate with high autonomy Nice to Haves: - Experience with C++ - Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization - Background in computer vision, SLAM, motion planning, or imitation learning - Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing - Experience with ML model deployment and serving frameworks - Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces - Experience with workflow orchestration systems (Temporal, Airflow) - Published research or open-source contributions in robotics or autonomous systems </ul&g

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 strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool-belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY Safety Data Infrastructure To pro-actively find bad actors and protect good users, Roblox needs to ingest enormous amounts of data and make it usable both to our automated detection systems and for human moderators and customer support agents doing investigations. The Safety Data Infrastructure team is addressing these needs within Safety. We are building a high availability real time multi-model datastore consisting of screenshots, chats, voice communication and more. This will allow various safety systems to re-use all manner of data collected to spot bad actors and policy violations. As a member of the Account Infra Team, you will have a rare opportunity to sit at the convergence of ML infrastructure, data engineering, and high scalability engineering all while getting to learn Rust. You Will: - Assume ownership of the complete lifecycle for full-stack features within Safety Data Infra ranging from technical specification, implementation, rollout, monitoring, and iteration, ensuring alignment with the designated pod roadmap. - Engage in close collaboration with partner teams in Content Safety, Safety Experience, Accounts, ML Foundations and Roblox database platform teams. - Define the architectural direction for scaling Safety Data Infra. - Take complete responsibility for projects throughout their entire lifecycle. - Drive cross-functional engagement and lead technical initiatives to ensure the widespread adoption and success of our core safety applications. - Report directly to the Manager of Account Security and Infra. You Have: - 4+ years of experience in software develop

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do As Technical Lead / Principal Engineer on the AI Engineering team, you'll provide technical leadership and strategic vision for the AI-powered platforms, tools and services that accelerate development velocity and productivity across Epic. You'll guide a team of engineers in building high-impact products like unified AI code review systems, Cloud agent hosting, centralized AI knowledge base and developer experience tools that serve thousands of folks across the company. This role sits at the intersection of AI innovation, practical engineering, and technical leadership. You'll set the technical direction for tools that developers across Epic use every day, establish best practices for AI-powered development tooling, mentor engineers, and shape how thousands of engineers write, review, and ship code. On top of that you'll be hands-on building complex aspects of the systems and working heavily with AI agents to implement, test, release, and operate these critical platforms. In this role, you will - Provide technical leadership and architectural vision for production-grade AI developer tools used by thousands of engineers across Epic's major codebases (Unreal Engine, Fortnite, and more) - Drive architectural decisions for scalable, maintainable developer-facing tools across multiple modalities: CLI and desktop tools, web apps, build process integrations, services, and APIs - Pioneer and establish patterns for modern AI frameworks and agent architectures, setting standards for the broader team - Partner with leadership and high-value teams to identify strategic opportunities and design/build/validate new platforms - Design and implement security, governance, and compliance protocols for AI platforms, including secret management, workload identity, and runtime isolation policies - Define measurement strategies and success metrics to track impact and continuously improve tool effectiveness - Mentor and grow a team of software engineers, conducting architecture reviews and raising the bar for technical excellence What we're looking for - B.S. in Computer Science or equivalent experience with 10+ years building production software systems - Track record of providing technical leadership for complex software projects from conception to delivery at scale - Proven experience in "zero-to-one" platform ownership: leading the technical design, architectural strategy, and initial build-out of

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: - Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research - Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment - Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in - Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities - Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: - Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field - 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid growth and change - Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred - Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned - Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow) - Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail - Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences Nice to Have - MS or PhD is a plus, though strong practical experience is equally valued. - Hands-on experience with teleoperation systems (ALOHA, UMI, hand tracking), robotic hardware platforms, or imitation learning - Background in sensor fusion, SLAM, or 3D data processing - Experience scaling data collection systems globally <div class="content-pay-t

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Role Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com . Reddit is hiring a Staff Product Security Engineer to make the secure path the easiest path for engineers and AI agents. You'll lead the design and delivery of secure frameworks, paved paths, and workflow-native controls that eliminate recurring vulnerability classes before they reach production. As AI-assisted development accelerates code velocity faster than manual review can absorb, this role exists to close that gap structurally — through guardrails, automation, and platform-level prevention that scale with the engineering org. What You'll Do - Build and evolve secure frameworks, guardrails, and library-level controls that make common vulnerability classes harder to introduce. - Design security controls for AI-assisted development — including reusable rule packs and skills that shape how engineers and coding agents generate, review, and ship code. - Embed security into the workflows engineers already use. - Drive product security reviews for new launches and major architectural changes. - Identify and eliminate systemic security debt. - Shape strategy, influence architecture, and drive execution across teams. What We're Looking For - 8+ years of experience in software engineering, product security, or application security, with at least 2 years operating at a staff level of scope and impact. - Proficiency in one or more languages (Go, Python, JS/TS). - Experience designing, building, and operating production-quality systems and developer-facing platforms. - Experience building secure frameworks, libraries, or guardrails that improve security across many teams at once. - Demonstrated ability to integrate security into developer workflows: CI/CD, code review, release processes, and internal platforms. - Clear communicator who can explain technical detail and business impact to both engineers and leadership. - Comfortable in fast-moving environments where AI-assisted development is reshaping how software is b

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Marketing Engineer, AI Deployment will design and build programmatic go-to-market systems and AI-powered workflows that improve efficiency, impact, and execution across Marketing. This role sits at the intersection of operations, data, and marketing with a focus on turning strategy & manual work into scalable, automated systems. This is not a traditional operations role. It is a systems-focused role dedicated to building the infrastructure, workflows, and intelligence layers that power a modern, product-informed revenue and efficiency engine across marketing. The ideal candidate is an expert in building interconnected data layers optimized for AI, driving AI adoption, and translating complex business challenges into scalable, automated technical workflows that directly drive revenue and operational efficiency. Success in this role is measured in three ways: agents live—the count of AI systems you've shipped into real, recurring use by marketers; hours saved—manual work returned to the org and reinvested in higher-leverage problems; and revenue driven—pipeline, conversion lift, or deal velocity directly attributable to what you've built. Everything else flows from those three numbers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Identify and define high-impact AI use cases across marketing, taking them from prototype to full deployment - Coach and partner with marketers to take them from novice to full workflow transformation and self-sufficiency - Build custom tools, agents, automations, and integrations (APIs, MCP Servers) tailored to each operator's responsibilities—campaign ops, lifecycle, content production, intelligence reporting, and beyond - Own and evolve a GitHub-managed marketing AI cortex of prompts, skills, context files, and agents. Treat it like a product: versioned, documented, and continuously improved - Recognize patterns across your cohort and systematically productize what works—tools built for one marketer should become reusable for peers, then the broader org - Measure what works. Define evaluation criteria, instrument AI workflows, and track adoption to identify which agents, prompts, and skills drive impact—and retire the ones that don't - Document every workflow, tool, playbook, and transformation pattern so knowledge scales beyond any one person - Stay ahead of AI trends in Generative AI, LLMs, and agentic systems—and share wins visibly with your cohort and leadership to build momentum and inspire adoption We’d love to hear from you if you have: - A demonstrated track record as an AI builder—agents, LLM workflows, automations, or prompt systems you've shipped into production and seen real users adopt. We care more about what you've built than how many years you've spent in any one function - Deep, hands-on expertise in Gumloop (preferred) or equivalent agent orchestration platforms such as n8n, Workato, or Zapier—including authoring shared workflow templates that non-technical users can adopt and modify on their own - Experience bui

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Software Engineer, Customer Administration The Customer Administration Engineering (CAE) team is a core pillar of Coinbase's Enterprise Applications and Architecture (EAA) org, responsible for building and operating the secure, foundational platforms that power customer data operations across Coinbase. Our flagship product, Control Center, is Coinbase's secure system of action for internal specialists across CX, Compliance, Legal, Global Investigations, Trust and Risk, and dozens of other teams. It serves approximately 7,000 internal users via its UI and powers a growing ecosystem of internal tools and AI automation via its backend APIs and MCP. We are at an exciting inflection point: evolving Control Center from a human-specialist UI into a modular, AI-agent-ready operations platform. As a Staff Software Engineer, you will be a technical anchor for the CAE team, driving architectural decisions, mentoring engineers, and leading the delivery of high-impact, cross-cutting platform capabilities. What You'll Do - Architect and deliver foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups across Coinbase to build on the platform safely and at speed - Drive the evolution of Control Center into an AI-agent-ready, headless operations platform, designing and implementing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks that enable both human and autonomous AI agents to execute sensitive customer operations securely - Partner with the Engineering Manager and Product counterparts to define architectural roadmaps, author TDDs, lead design reviews, decompose complex initiatives into deliverable milestones, and raise the engineering quality bar through code review and mentorship - Build and maintain highly reliable, secure, distributed backend services, owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 platform systems - Collaborate across EAA engineering teams, Product Engineering, and Security Engineering to deliver cross-functional outcomes and drive shared platform primitives that eliminate duplicated infrastructure across the portfolio Required Skills and Experience - 8+ years of hands-on software engineering experience, with a demonstrated track record of architecting and delivering large-scale, high-traffic distributed systems in production, including deep proficiency in backend service design, API development (gRPC, MCP, GraphQL), and scalable microservices architectures <l

Z

Data Analyst - Poker

Negotiable

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Join the Zynga Poker Analytics Team Zynga Poker is seeking a Principal Data Analyst to help drive decisions that impact millions of players worldwide. At Zynga, Principal is the next step above Senior; a great fit for analysts ready to take on broader ownership and scope. As part of our analytics team, you'll play a crucial role in shaping the future of our game through data-driven insights. Here's how you'll shape the player experience: - Product Strategy: Analyze long and short-term trends to deliver insights that influence product direction - Experimentation: Design, conduct, and analyze statistically sound experiments that drive measurable impact - Business Intelligence: Maintain comprehensive dashboards and ETL pipelines to keep the organization informed on game performance - Game Integrity: Enhance fraud detection and bad actor models to maintain a healthy gaming ecosystem Join us if you love solving analytical puzzles that impact millions! What You'll Do: - Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards. - Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements. - Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence. - Participate in and contribute to the Analytics Org’s AI initiative, which is doing significant strides in improving analytics workflows through AI - Design game telemetry to capture meaningful player interaction data to improve the game experience. - Design and maintain a suite of highly visible dashboards used by game leadership and game designers to make strategic decisions for Zynga Poker - Support the economy team in tuning the different features in the game to optimize for long term game and feature health - Play a leading role in the design and continuous improvement of our fraud and bad actor models - Actively play and engage with our games to maintain first-hand understanding of player experience, game mechanics, and potential pain points. - Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on the team. - Continuously learn about analytics best practices, and actively share and promote these practices across various games and teams. What You Bring: - Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus. - Minimum of 8 years in data science or analytics roles, preferably with 6 years in a Product Data Science or Gaming Analytics team - Demonstrated experience guiding product teams through complex decisions and analyses and dealing with ambiguous data - Proficiency in Python and SQL. - Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning. - Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous. - Strong ability in both written and oral communication. - Experience/ Demonstrated interest in improving analytics team's processes and work efficiency using LLMs. - Highly self-motivated with a keen interest in problem-solving. - Willingness to take ownership of challenges. - Proven ability to work collaboratively as part of a team. - Strong communication skills - you can explain complex data in simple, actionable terms - Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus Bonus Points: - Experience/ Interest in improving analytics team's processes and work efficiency using LLMs. - Familiarity with poker gameplay and terminology - Familiarity with social casino economies What We Offer You : Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site The pay range for this position in Ontario at the start of employment is expected to be between $118,300 and $142,000 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. Please note that Zynga is unable to provide visa sponsorship or assistance for this position. All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

A

Security GRC Engineer

Negotiable

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 Security GRC Engineers design, implement, and scale our governance, risk, and compliance (GRC) program. You'll lead automation of compliance workflows, build self-serve tools to enable GTM teams, and ensure our products and infrastructure meet the highest security standards. This role blends technical implementation with strategic program development, directly shaping how we build trust with customers. You may be a fit if - You have experience with GRC frameworks such as SOC 2, ISO 27001, ISO 42001, and AIUC-1. - You're comfortable tracing an external claim back to how the product and infrastructure are actually configured — you use coding agents and curiosity to confirm that what we say is what we do, flag issues that affect the security and AI governance program, and drive them to the right outcome. - You have strong cross-functional collaboration skills, especially with Engineering, Legal, GTM, Trust & Safety, auditors, and regulators. Sample projects include - Automate evidence gathering and continuous control testing. - Own the relationship with audit firms and customers — you're the person who explains the security and AI governance program and earns their trust in it. - Conduct security compliance reviews for new products, features, and vendors. - Support Legal in contract negotiations with timely, accurate guidance on security and AI governance terms. - Support incident response communications — draft and review customer-facing updates during security incidents. - Build self-serve documentation and tools to answer customer security and AI governance inquiries. - Maintain corporate security policies. Applying If there appears to be a fit, we'll reach out to schedule 2–3 short technicals. After that, we'll schedule an onsite at our office, where you'll work on a small project, discuss ideas, and meet the team.

A

Director, Partnerships SI

Negotiable

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. As Director, Consulting & SI Partnerships at Cursor, you’ll own the execution of our most strategic partnerships with top-tier consultancies (Bain, McKinsey, BCG) and global systems integrators (Accenture, Deloitte, PwC, EY, Infosys, Cognizant, NTT Data, Wipro). You’ll be responsible for driving adoption, deployment velocity, and long-term stickiness of Cursor across the Fortune Global 2000 through partner-led motions. You’ll operate at the center of our partner ecosystem, working closely with partner leadership, Cursor Sales, Field Engineering, and Product to turn partnerships into a scalable revenue and deployment engine. This is a highly cross-functional, execution-heavy role focused on translating partnership strategy into real pipeline, production deployments, and measurable impact. WHAT YOU’LL DO - Own partner portfolio end-to-end. Manage 3–5 strategic consulting and SI partners, including QBRs, joint business plans, pipeline reviews, and escalations. - Build working-level relationships. Develop strong relationships with Practice Leads, Client Partners, and Principals; become the go-to contact for partners engaging with Cursor. - Drive co-sell execution. Lead account mapping, pipeline generation, and joint deal execution alongside Cursor’s enterprise sales team. - Operationalize partner enablement. Launch and scale certification programs, training, FDE playbooks, and reference architectures to enable partners to deploy Cursor effectively. - Convert pilots to production. Partner closely with Field Engineering, APM/ADM, and account teams to move partner-led pilots into scaled production deployments. - Unblock deployments. Coordinate across teams to resolve delivery challenges, staffing gaps, and technical blockers impacting partner success. - Track and drive adoption metrics. Monitor partner-driven pipeline, certified headcount, and time-to-production to improve execution over time. - Execute joint GTM initiatives. Deliver co-branded content, research, case studies, and events that position Cursor and partners as leaders in AI-driven software development. YOU MAY BE A FIT IF - You’ve worked in partnerships, alliances, or sales with top-tier SIs or consulting firms - You know how to turn partnerships into real revenue, not just relationship management - You’re comfortable operating at both executive and working levels within partner organizations - You have experience driving co-sell motions and navigating complex, multi-stakeholder enterprise deals - You understand how to enable partners technically (training, certifications, playbooks) to deliver at scale - You’re highly operational and data-driven, with strong instincts around pipeline, adoption, and execution - You thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1

M

Engineering Team Lead, Managed K8s

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will own our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute. Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. This is a role for an engineer who leads from the front because that is where the work is, not because management was the next rung on the ladder. WHAT YOU WILL DO - Design and ship the control plane. You build alongside your team and own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. - Grow the engineers, not just the software. You set the standard for ownership, remove the obstacles in their way, and coach them past their comfort zone until the work they ship surprises them. - Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am, and your engineers learn from how you do it. - Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. - Own people management for the team: hiring, performance, growth paths, and honest feedback — the leadership work that never becomes someone else's job. - Define the team's processes and execution rituals as it grows. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it. - You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on. - Extensive experience building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

M

AI Deployment Strategist, AI4Eng

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. WHAT YOU WILL DO As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end. Discovery, Scoping & Solution Design: - Run technical discovery sessions to understand business and engineering requirements. - Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges. - Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams. - Build ROI models and business value propositions, and own scoping documents and SOW inputs. Delivery & Program Management - Own end-to-end delivery: discovery → design → build → deploy → adoption. - Set up the account operating model: governance, decision forums, and cadence. - Drive day-to-day execution: priorities, milestones, unblockers, and risk management. - Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover). - Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy). Adoption, Value Realization & Expansion - Lead user testing, training, change management, and developer enablement. - Track value realization against agreed KPIs and report to executive sponsors. - Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering. ABOUT YOU - Advanced university degree in physics or engineering, or IT. - 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace. - Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.). - Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers. - Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation. - Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies. - Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders. We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth. INTERVIEW PROCESS - Talent Acquisition screening call (30 min) - 30 min Hiring Manager Interview - 45 min Technical Interview (physics, simulation, and AI deep dive) - 45 min Business Acumen Interview - Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h) - 30 min Value Talk - Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

2

Senior Technical Product Manager, AI

Negotiable

Who We Are At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K , one of the top-selling franchises in the world, and legendary titles like BioShock® , Borderlands® , Mafia , Sid Meier’s Civilization® , and XCOM® , as well as fan favorites WWE® 2K , TopSpin® , and PGA TOUR® 2K . We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need We are seeking a Senior Technical Product Manager to build and ship the technology that 2K requires to safely, scalably, and efficiently leverage AI across the business. You will own the product pipeline for shared services and infrastructure for AI: identifying where 2K Technology should invest, defining what gets built, and driving it to a supported production service that studios and publishing teams depend on. This role suits a product manager who is highly focused on production outcomes and driving tangible business value. The work is judged on adoption, reliability, and cost. Success is enabling all 2K teams to maximize their leverage of 2K’s backend AI solutions. Duties - Pipeline Ideas to Production: Turn concepts, prototypes, and business needs into shared-service products and infrastructure. Drive intake, prioritization, and acceptance, defining opportunity, customer, success metrics, and path to production before engineering commits. - Find the Right Opportunities: Work with 2K teams to identify where a central build beats a local build or a licensed tool. Lead build, buy, and wrap calls with engineering, backed by evidence on cost, adoption, switching risk, and time to value. - Partner and Communicate: Work with leaders across 2K to ensure AI investments extend existing capabilities. Publish a roadmap that customers and stakeholders can plan against, and report progress, cost, and risk to senior leadership. - Measure Success: Track what tells you a product works: adoption, task success rate, inference cost per unit of work, latency, and quality regression. - Build Governance In: Develop 2K's AI governance framework with Take-Two, Security, 2K Data, and 2K Trust & Safety. Instrument products so model usage, data provenance, and output handling are auditable by default, and teams building on central infrastructure inherit compliance rather than negotiate it. - Engage Technically: Hold your own with engineers and data scientists on cost and latency tradeoffs, retrieval versus fine-tuning versus prompting, evaluation design, and the data pipelines underneath. Track a fast-moving field and tell 2K what actually matters. Must-Haves - A strong professional track record in product management, including direct experience taking AI or machine learning products from concept into production use by real customers. - Demonstrated ownership of a production AI system, with accountability for availability, cost, and output quality over time. - Practical fluency with modern AI application patterns, including retrieval, evaluation, fine-tuning, agentic workflows, and guardrails. You know the failure modes of each and when not to use them. - Experience owning platform or infrastructure products with broad internal customer bases and competing stakeholder priorities. - Comfort treating governance, risk, and compliance as product surfaces to design, not obstacles to route around. - Ability to distill technical tradeoffs into clear decisions for engineering teams and non-technical executives alike. - Comfort presenting to senior management and building organizational support for investments whose returns are measured in efficiency rather than direct revenue. Nice-to-Haves - Experience in the gaming industry, with an understanding of AAA development workflows, live service operations, or publishing. - You actively build with AI tools yourself. Prototypes, evals, and working demos are part of how you communicate. - Hands-on experience with AI gateways, model routing layers, or LLM ops tooling. Experience managing inference spend, including cost attribution, usage governance, and unit economics for AI workloads. - Product experience in a regulated or audit-heavy environment where compliance requirements shaped the system architecture. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. Please note that 2K Publishing is unable to provide v isa sponsorship or assistance for this position. All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship. LI-Hybrid

F

Director, Product Design - AI & Context

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an experienced Design Leader to oversee our Context Platform Pillar, which homes several critical company initiatives including Design Systems, Code, MCP, CMS, Community, and more. Think of it as the team that drives the most important context for AI agents to help you design better products. In this role, you'll tackle strategic challenges from building new products to evolving and scaling existing ones - all while empowering your teams to deliver ambitious, high-quality work. If you're a leader who is especially deep in understanding modern AI + Design Systems workflows, and very passionate about empowering Designers through platform-wide investments in Figma's ecosystem, this role is for you. As a Design leader at Figma, you'll guide and grow a team of world-class designers, with the opportunity to expand this group as the scope and impact of our work evolves. In this deeply cross-functional role, you'll work in close collaboration with product management, engineering, research, marketing, and other teams to shape both product and business strategy in our next chapter. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Hire, manage, and develop a multi-team design group spanning Design Systems, Code, MCP, CMS, and Community - Partner with Product and Engineering leads in this area to improve team processes and execution and coach individual teams through setting roadmap and strategy - Develop a perspective on your team's product areas and successfully advocate for it across the organization - Lead critique, sprint, and design review practices across the pillar - Advance your own skills at people management in a supportive and growth-oriented environment - Operate hands-on across both people management and strategy and execution We'd love to hear from you if you have: - 5+ years of design management experience, ideally including experience managing managers and leading teams through ambiguity and change - Deep understanding of the latest AI developments, modern tooling, and component-driven design practices - Strong hands-on expertise with Figma's tools, with the ability to mentor and guide design teams effectively - Proven track record of partnering cross-functionally to solve complex design challenges and drive meaningful outcomes - Strong strategic thinking and communication skills, demonstrated through influencing teams, adapting quickly, and taking a proactive, solution-oriented approach While it's not required, it's an added plus if you also have: - Background contributing to open-source or developer-facing design tools - Experience partnering with Research and Marketing on platform-wide initiatives At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $290,000 - $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .

R

Manager of Data Science, Finance & Strategy

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 Finance & Strategy Data Science team is a specialized Data Science group within Robinhood’s Finance & Strategy organization. Our mission is to use data, advanced analytics, machine learning, and AI to generate actionable insights, improve decision-making, and help Robinhood better understand and optimize business performance. We partner closely with teams across Robinhood including Finance, Product, Data, Engineering, Marketing, Research, and Operations. Our work spans customer and business analytics, benchmarking, forecasting, measurement frameworks, and AI-powered analytics, helping leaders make faster, more informed decisions and identify opportunities to improve performance across the company. As the Data Science Manager for Finance & Strategy, you will lead and develop a high-performing team of data scientists and analytics engineers, setting the team’s technical direction and priorities while partnering with leaders across Robinhood to turn complex business questions into actionable insights. You will oversee strategic analytics, measurement and benchmarking frameworks, deep-dive analyses, and scalable data science and AI solutions. You will play a key role in expanding how Finance & Strategy uses data and AI to enable faster, more predictive, and more effective decision-making.This role combines strong people leadership, technical depth, and business judgment to identify high-impact opportunities and elevate the quality and scalability of analytics across Robinhood. This role is based in our Menlo Park, CA office, with in-person attendance expected 5 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 - Lead, mentor, and develop a high-performing team of data scientists and analytics engineers; operate as a player-coach who stays hands-on in the code and ships real work alongside the team - Foster a culture of technical excellence, strong business judgment, experimentation, and clear accountability across the team - Lead Robinhood's NPS program end to end: survey design, sampling and weighting, key driver analysis, verbatim analysis, and executive reporting - Oversee the broader survey and research portfolio, including safety perception, brand/product sentiment, benchmarking, and trend tracking - Make agentic workflows the default operating model. Build durable shared infrastructure so the team can delegate analysis, pipelines, QA, and recurring reporting to agents - Drive both sides of the analytics stack: rigorous data science (measurement, experimentation, modeling) and the analytics engineering foundation (pipelines, tooling, data models) - Partner closely with Finance, Product, Engineering, Operations, and other cross-functional teams to translate complex business questions into scalable, trustworthy analytics - Represent Finance & Strategy Data Science in leadership forums and help shape how Robinhood leverages data and AI for strategic decision-making What you bring - 7+ years of experience in data science, analytics, or related fields, including 2+ years of people management experience - Strong technical expertise in SQL, Python, statistical analysis, experimentation, and advanced analytics - Proven ability to translate complex business questions into rigorous analyses, actionable insights, and scalable data solutions - Experience developing measurement frameworks, predictive models, benchmarking, and other analytical approaches that inform business and strategic decisions - Strong business judgment with a track record of partnering with Finance, Product, Engineering, Operations, and senior leadership - Excellent communication skills, with the ability to simplify complex analyses, influence decisions, and build alignment across teams - Experience building and developing high-performing teams of data scientists and analytics engineers Leadership expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: - Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. - Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. - Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What we offer - Market competitive and pay equity-focused compensation structure - 100% paid health insurance for employees with 90% coverage for dependents - Annual lifestyle wallet for personal wellness, learning and development, and more! - Lifetime maximum benefit for family forming and fertility benefits - Dedicated mental health support for employees and eligible dependents - Generous time away including company holidays, paid time off, sick time, parental leave, and more! - Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits 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) $202,000 - $238,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $178,000 - $209,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $158,000 - $214,000 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.

C

Senior Oracle Security and AI Engineer

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 Locations: Austin, US Applications will be accepted until November 01, 2026. Job Title: Senior Oracle Security and AI Engineer About the Role This Senior Oracle Security and AI Engineer is primarily responsible for the Oracle Fusion security architecture, role design governance, oversight of the Risk Management Cloud service and AI initiatives. The Engineer serves as a hands-on expert for the technical administration, environment management, and platform integrity of the Oracle Fusion ERP Cloud environment, operating as a technical owner for Oracle Fusion Applications, Security, and the underlying Cloud and AI Infrastructure. Responsibilities - Environment Management & Maintenance: Own the technical management of all Fusion environments, including executing scheduled environment refreshes , cloning instances, managing environment usage, and ensuring system configuration baselines. - Cloud Update Execution: Participate in the technical preparation and execution of Oracle’s mandatory quarterly cloud updates, including performing pre-update checks and technical smoke testing post-update. - Platform Stability & Governance: Own the non-functional requirements for the Oracle Cloud environment, including security architecture, role design governance, and performance benchmarking. Enforce technical configuration control standards. - Security Administration: Provide security administration and support for all Oracle Fusion Applications, PaaS and DBaaS platforms. Design, build, and deploy custom security roles for Oracle Fusion Applications, ensuring strict adherence to the principle of least privilege and Segregation of Duties and Sensitive Access compliance frameworks. - Risk Management Cloud: Serve as the technical owner of the Oracle Fusion Risk Management Cloud service. Configure, deploy, and maintain Advanced Access Controls - AAC and Advanced Financial Controls - AFC to detect and mitigate financial risks, fraud, and policy violations, translating audit requirements into effective platform controls. - Technical Support & Troubleshooting: Provide Level 2/3 technical support for environment-related issues, access problems, and deployment failures. Serve as an escalation point to conduct root cause analysis for platform-level incidents. - AI & Automation Innovation: Evaluate, design, and deploy AI-driven tools, Model Context Protocol implementations/maintenance, Terraform-based automation scripts, and security artifacts to enhance platform security operations, streamline threat monitoring, and optimize governance workflows across the Oracle Cloud ecosystem. Role Requirements Must-Have Skills - 8+ years focusing on the technical administration/support within Oracle eco system - 4+ years of experience designing, building, and deploying custom security roles within the Oracle Fusion Applications environment. - Expert-level knowledge of managing Oracle Fusion Cloud environments(ERP, GTM and EPM), including environment refresh and cloning processes. - Deep technical familiarity with Oracle Cloud Infrastructure administration and monitoring. - Strong understanding of security architecture, Oracle Fusion Risk Management Cloud, role design governance, and performance management within a cloud ERP. - Strong understanding of various MCP and Agentic capabilities with Oracle Fusion (ERP, EPM, GTM), AI Database, Oracle Integration Cloud, and Oracle Fusion Data Intelligence. Nice-to-Have Skills - Experience in an organization transitioning to Oracle Cloud Ecosystem. - Hands-on experience with various OCI PaaS Toolsets. - Exposure to the Data Center Infrastructure industry - Relevant professional product/functional certifications (e.g., Oracle Cloud Infrastructure and Security certifications) - Skilled in administering DevOps tools like Flexagon FlexDeploy and using Opal IGA tool - Experience in Cloudflare’s Developer platform or equivalent(e.g., AWS) 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.

M

Senior Manager, Enterprise AI Engineering

Negotiable

Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. The Role The Senior Manager, Enterprise AI Engineering will lead a team focused on turning rapidly evolving AI capabilities into practical solutions for teams across Match Group. You will partner with functions including Finance, Legal, People, Marketing, Communications, and Operations to identify high-value opportunities, rapidly build and deploy AI-powered solutions, and scale what works across the organization. This is a hands-on leadership role for a builder who can move comfortably between business problems and technical solutions. You’ll work with functional leaders, domain experts, Engineering, Data, IT, Security, and Privacy to take ideas from prototypes to reliable, reusable enterprise capabilities. What You'll Do Lead and grow a team of AI engineers focused on delivering high-impact enterprise solutions across the organization. Build and own AI infrastructure Lead design and development of AI powered tools, agents, retrieval systems, automations, and services Own and evolve core AI architecture - LLM Gateway, MCP Gateway, native and custom integrations, centralized app and dashboard deployment, and model access management Shepherd solutions from prototype through production in close partnership with Engineering, Data, IT, Legal, Security, and Privacy Drive adoption and standardization Partner with brand AI leads and engineering leads across teams to establish shared infrastructure and avoid duplicated effort Define engineering practices and technical standards for building reliable, secure, and scalable AI applications Connect related AI initiatives and actively share technology and learnings across teams Evaluate and expand capabilities Evaluate, pilot, and roll out new models, tools, and platform feature in collaboration with legal and Security Build frameworks to measure quality, reliability, adoption, and business impact Be the connective tissue Manage vendor relationships and internal stakeholder expectations Partner with functional leaders and domain experts to identify and prioritize high-impact AI opportunities and ensure solutions are grounded in real business needs Who You Are A hands-on technical leader who enjoys building as much as leading. Experienced with modern AI technologies, including LLMs, agents, RAG, evaluations, model selection, and workflow automation. Comfortable with APIs, data, integrations, cloud architectures, security, and enterprise systems. Able to translate ambiguous business problems into practical technical solutions. Pragmatic and outcome-oriented. You care about solving meaningful problems rather than using AI for its own sake. Effective at building trust and driving complex initiatives across technical, business, and executive stakeholders. Curious, adaptable, and comfortable operating in a field where capabilities and best practices evolve rapidly. Qualifications Required 5+ years of relevant engineering and management experience , including meaningful hands-on experience building and deploying AI-powered products or systems and managing teams of engineers. Experience building applications using modern generative AI technologies, including LLMs, agentic workflows, RAG, evaluations, and model APIs. Strong software engineering fundamentals and experience building production systems, APIs, integrations, and data-driven applications. Experience taking AI or emerging technologies from prototype through production and adoption. Experience leading engineers and complex, cross-functional technical initiatives. Demonstrated ability to work directly with business stakeholders and domain experts to translate problems into working solutions. Excellent communication skills across technical, business, and executive audiences. Preferred Experience building enterprise AI products or platforms used across multiple business functions. Experience with enterprise AI architecture, cloud infrastructure, security, data integration, and governance. Experience designing evaluation and monitoring frameworks for generative AI systems. Experience creating reusable platforms, services, or components from initially specialized use cases. Experience scaling emerging technologies within a large organization.

C

Senior Software Engineer, Backend - Platform (Core...

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions. What you’ll be doing (ie. job duties): - Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring. - Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks. - Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability. - Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions. - Strengthen engineering quality across the team by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response. What we look for in you (ie. job requirements): - 5+ years of experience in software engineering, with proven expertise in designing, building, and maintaining production services using a microservices architecture. - Hands-on experience building LLM-based applications or AI/ML systems in production, including prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks. - Proficiency in Python and Golang (or comparable backend languages), with experience integrating third-party AI models and APIs into production workflows. - Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces. - Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources (e.g., blockchain data, customer interaction logs). - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Nice to haves: - Experience navigating rapid company growth (e.g., from startup to mid-size). - Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB. - Background in AI/LLM infrastructure is a strong plus. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $186,065 - $218,900 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

O

Pricing Strategist, GTM

$234,000 – $260,000

About the role As a Pricing Strategist focused on GTM, you will help shape pricing strategy for B2B enterprise customers across our product portfolio. Working within Finance and partnering with GTM, Sales, and Product, you will focus on pricing analytics, price performance, and the effectiveness of credit programs while contributing to broader commercial strategy. In this role, you will - Build regular pricing-performance reviews, analyze discounting and concessions, and turn findings into better pricing guidance. - Develop commercial strategies and pricing programs for customer segments such as education, startups, and government. - Define objectives and success measures for credit programs and promotions, and evaluate their return on investment. - Translate segment goals and product pricing strategy into scalable pricing frameworks and commercial structures. - Partner on strategic enterprise deals to align commercial proposals with sound deal economics and pricing strategy. You might thrive in this role if you - Approach problems from first principles, identify root causes, and develop clear options for stakeholders. - Work effectively through ambiguity and differing perspectives. - Understand how sales organizations operate and collaborate well across GTM strategy, Finance, and Product. - Bring relevant experience from consulting, strategy and operations, or pricing, particularly work involving analytical teams. Experience with pricing analytics, pricing frameworks, discounting guardrails, or new-product pricing is helpful, but a strictly pricing-specific background is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Fullstack Software Engineer, Child Safety Tools &...

$266,000 – $385,000

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: - 4+ years of experience as a software engineer - Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm - Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. - Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. - Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research - Contribute to the team’s technical strategy, especially for child safety related tools and systems - Report on impact in a data-driven fashion You might thrive in this role if you: - Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling - Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems - Have experience building and operating large-scale data pipelines or search/retrieval systems - Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL - Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback - Favor pragmatic solutions and can ship in hacky, low-support environments when needed - Are comfortable navigating ambiguity and open-ended problem spaces with evolving goals - Have prior experience working on engineering for high-severity harms - Bring intuition for the pain points and workflows of operations and investigative teams, and curiosity about solving complex investigations - Bonus: prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Social Growth Strategist

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building the creative suite for the AI generation. Millions of creators and marketers already use our platform to generate speech, music, images, and video, and our social presence needs to match the speed and ambition of the product. We are looking for a Social Media Manager to own and elevate the social presence across both the ElevenLabs and ElevenCreative brands. You will own ElevenCreative on X and LinkedIn, ElevenLabs on Instagram, TikTok, and YouTube, and our community on Discord. This is a hands-on role at the intersection of content strategy, lightweight video editing, and community. You will plan the calendar, capture product moments with our AI creative producers and product teams, and do the recording and editing yourself using tools like Screen Studio, assembling clips, adding text and motion, and adapting each post natively for its platform. You will stay ahead of trends and cultural moments, up-level the brand voice and the quality bar across channels, track performance, and use the data to keep improving what we publish. The right person lives on social platforms, understands what makes content work natively on each one, and has strong opinions about how an AI-native brand should show up. You should be comfortable writing sharp copy, running a content calendar across multiple channels, and thinking strategically about audience growth and brand positioning. WHAT YOU WILL DO - Own the social content calendar across X, Instagram, TikTok, YouTube, and LinkedIn for both ElevenCreative and ElevenLabs, plus our community on Discord, from planning through publishing - Coordinate with AI creative producers and product teams to capture product moments such as screen recordings, motion demos, and feature walkthroughs, and adapt them into social-ready assets - Record and edit content yourself using tools like Screen Studio, assembling clips, adding text and motion overlays, and formatting natively for each platform - Own and grow our Discord community, sparking conversation, surfacing feedback, and keeping it active - Plan and execute social content around product launches, feature releases, and company moments - Work with the creator partnerships and community teams to source creator work, align on campaigns, and amplify content across channels - Monitor platform analytics, tracking engagement, reach, follower growth, and conversion, and use the data to refine strategy - Stay ahead of platform trends, algorithm changes, and cultural moments to find opportunities for the brand - Up-level the brand voice and raise the quality bar across every channel, keeping a consistent identity - Manage community engagement across platforms, responding to comments, surfacing feedback, and joining the right conversations - Develop and iterate on content formats that drive engagement and show product capabilities to creators and marketers REQUIREMENTS - Demonstrated experience managing social media accounts for a technology or creative tools company, with a portfolio of work you can share - Ability to do lightweight video editing, assembling clips, adding text and motion overlays, and formatting content for different platforms - Comfortable recording and editing your own content with tools like Screen Studio, turning product moments into native posts without waiting on a producer - Proven ability to write sharp, platform-native copy across X, Instagram, TikTok, and LinkedIn - Fluency in social analytics, you know how to pull insights from native platform dashboards and translate them into content decisions - Experience coordinating content across cross-functional teams (video, community, partnerships, product marketing) - A genuine understanding of the AI and creative tools landscape, you follow the space, use the tools, and have informed opinions about where things are headed BONUS - Experience managing social for a product used by creators and marketers (e.g., Adobe, Canva, Figma, Runway, or similar) - Experience running or growing a community channel such as Discord - Experience with social scheduling and management tools (Sprout Social, Later, Buffer, or similar) - Experience building a social presence from early stage or leading a rebrand on social - Multilingual capabilities GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead social strategy across all ElevenLabs brands and sub-brands as the social function scales - Move into a broader content role spanning video, editorial, and social - Expand into brand marketing or creative direction as the growth team evolves LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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Product Manager, GTM Innovation

$266,000 – $385,000

About the Team The Technology Vertical team builds within Core Products. The team’s mission is to transform every major function in a technology company with AI to drive higher economic output, while people remain owners of the outcomes: setting intent, applying judgment and craft, directing iteration, and owning the result. About the Role As a Product Manager on the Technology Vertical team, you will shape how knowledge workers use AI in their daily work. You’ll craft enterprise products at the intersection of novel research capabilities and genuine enterprise needs, driving the full feedback loop from research, to product, to OpenAI’s own enterprise functions, to the broader Technology Vertical. 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 the product roadmap for a line of business within tech verticals, using OpenAI’s organization to test, refine, and scale new workflows. - Develop the ecosystem strategy across technology partners in your line of business You might thrive in this role if you: - Have built enterprise products for non-developer knowledge workers and understand the needs of both individual contributors and organizational buyers. - Can turn complex workflows, integrations, and permission requirements into clear product decisions. - Are comfortable developing a strategy while working closely with engineers, customers, and cross-functional partners to ship and learn. - Bring strong judgment about which vertical-specific needs should become reusable capabilities across a broader 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.

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Internal Communications, Research and Product

$171,000 – $190,000

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.

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Global Head of Events

$361,000 – $401,000

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. The Events team advances that mission by connecting the people building AI with the people using it to solve problems, create new things, and open up opportunities for others. We bring developers, business leaders, customers, partners, and communities together to experience our technology firsthand and imagine what they can build with it. From global gatherings to hands-on experiences, our ambition is to inspire people to think bigger—and give them the ideas, relationships, and confidence to help shape what comes next. About the Role We’re looking for a Global Head of Events to lead a large, established global events and production team, with the opportunity to define what comes next. Working with OpenAI’s executive team, you’ll set the direction for our event portfolio, focus investment on the experiences that matter most, and give the team the clarity and support to do its best work. This is a chance to build on a substantial foundation and create the experiences people will associate with OpenAI for years to come. Your remit will span the company: flagship conferences, product launch experiences, developer gatherings, executive programs, regional events, and our presence at important industry and cultural moments. You’ll own the strategy, team, investments, and agency relationships that make that work possible. The team also leads in-house production for OpenAI’s town halls, webinar studio, and film projects. You’ll bring creative judgment, business instincts, and a love of bringing people together. You’re entrepreneurial and deeply curious: ready to start with an open question, find a direction, and learn by making things. You can make good decisions with incomplete information, bring others along, and change course when you learn something new. You’re also excited to use AI in your own work and help the team discover better ways to plan, create, and deliver experiences. In this role, you will - Set OpenAI’s global events strategy and focus investment on the experiences that matter most. - Partner with executives on event priorities, programming, and participation in key moments. - Create flagship gatherings and original formats that bring our products, ideas, and communities together. - Work across Brand, Creative, Product, Research, and Communications to create thoughtful, cohesive attendee experiences. - Lead and develop a global events and production team, while helping regional teams adapt experiences for their markets. - Own budgets, agencies, vendors, and complex production in partnership with Finance, Procurement, Legal, and Security. - Oversee in-house production for town halls, webinars, and film projects. - Partner with Revenue Marketing, Field Marketing, and developer teams on audience goals and follow-through; connect live, digital, and hybrid events to engagement beyond the room. - Define success across product understanding, adoption, community, customer relationships, brand, and business results, using feedback and AI to improve future experiences. You might thrive in this role if you - 14+ years of experience in global events, experiential marketing, and large-scale production, including leadership of teams, budgets, and programs across multiple markets. - A track record of creating distinctive flagship experiences and building the teams and processes to deliver them consistently. - Strong creative judgment and an understanding of how to design experiences for developers, business leaders, customers, partners, and communities. - Experience developing leaders, setting priorities across a broad portfolio, and guiding an established team through change. - Experience leading complex live and recorded productions, managing agencies and significant budgets, and partnering with senior stakeholders. - The ability to connect event investment to meaningful outcomes while keeping the attendee experience central. - An entrepreneurial approach to ambiguity, curiosity about AI, and firsthand experience using it to improve your work. Workplace & Location This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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B2B Marketing Lead, ANZ

Negotiable

About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. Our mission requires a team that brings diverse perspectives, strong judgment, and a deep commitment to safe and beneficial deployment. About the role The ANZ B2B Marketing Lead is the accountable market owner for OpenAI’s B2B marketing strategy, execution, and outcomes across Australia and New Zealand. They set priorities with local GTM leadership, translate global and regional strategy into locally effective programs, and drive measurable pipeline, adoption, and customer trust. They remain hands-on while drawing on regional and global specialists, represent ANZ customer and market needs in broader planning, and build the operating model and capabilities needed to scale. The role prioritises enterprise and mid-market opportunities across Australia and New Zealand, while coordinating startup, developer, and partner programs with regional and global specialists. You will partner closely with Sales, Partnerships, Product Marketing, Communications, Legal, APAC Marketing, and Global Marketing to set local priorities, activate relevant programs, and bring ANZ customer and market insights into broader planning. Responsibilities - Own ANZ B2B marketing strategy and investment recommendations across Australia and New Zealand, prioritizing enterprise and mid-market opportunities in alignment with local GTM, regional, and global goals - Plan and run integrated marketing programs across ABM, field events, executive programs, roundtables, partner co-marketing, customer stories - Activate global and regional campaigns for the ANZ market, adapting messaging, channels, proof points, and execution for local audiences - Create high-impact local content, including customer stories, executive narratives, sales enablement, newsletters, and campaign assets - Partner with Sales to identify priority enterprise and mid-market accounts, industries, pipeline gaps, and buyer objections across Australia and New Zealand - Work with Product Marketing, APAC Marketing, and Global Marketing to adapt launches and B2B narratives for audiences across Australia and New Zealand - Coordinate with Comms, Global Affairs, Legal, and policy partners on trust-sensitive messaging and external programs - Build partner marketing strategies with priority ecosystem, channel, and industry partners, drawing on Partnerships and regional and global marketing specialists - Coordinate startup and developer programs with the relevant specialist teams as part of the ANZ B2B plan - Manage agencies, vendors, timelines, budgets, reporting, and post-campaign measurement - Establish operating rhythms and performance dashboards for ANZ B2B marketing - Represent ANZ customer and market needs in regional and global planning, advising leadership on opportunities, risks, and investment priorities - Identify capability gaps and recommend the resourcing, specialist support, and operating model needed to scale ANZ B2B marketing Qualifications - 10+ years of experience in B2B, enterprise, field, demand generation, or integrated marketing, with substantial ANZ B2B market experience - Proven experience driving measurable B2B pipeline and adoption through integrated demand generation, field marketing, events, and content programs - Proven experience building and executing account-based marketing (ABM) programs for strategic enterprise accounts, with measurable account engagement and pipeline impact - Proven experience executing integrated marketing programs that translate global or regional campaigns into locally relevant messaging, channels, content, and activation - Strong understanding of enterprise and mid-market buying dynamics across Australia and New Zealand, including trust, risk, privacy, procurement, partner influence, and stakeholder alignment - Full professional English fluency with strong writing, editing, and content production judgment for audiences across Australia and New Zealand - Demonstrated ability to work cross-functionally with Sales, Product Marketing, Comms, Legal, Partnerships, and regional and global teams - Strong project management skills and proven ability to manage multiple programs, agencies, vendors, budgets, and stakeholders - Analytical ability to connect marketing activity to pipeline, account engagement, adoption, and business outcomes - Demonstrated ability to own market strategy and hands-on execution, prioritise investment, and build repeatable marketing capabilities in ambiguous environments - Strong stakeholder influence and ability to bring local customer and market insight into regional and global planning - Proven ability to build and execute integrated marketing plans across relevant B2B channels, including brand, digital, and influencer channels Preferred qualifications - Experience marketing AI, developer, SaaS, infrastructure, cloud, data, or other technical products - Familiarity with Salesforce, Marketo, event platforms, and marketing analytics tools - Partner marketing experience, ideally including partner-led GTM and ecosystem co-marketing in ANZ - Experience with regulated or trust-sensitive industries such as financial services, healthcare, public sector, education, or professional services - Experience in startups, high-growth technology companies, or global-local matrix organizations - An existing network across ANZ enterprise technology, partner, agency, creative, production, or industry communities - Deep understanding of the business and consumer landscape, cultural context, and media and marketing dynamics across Australia and New Zealand Why this role matters ANZ is a strategically important B2B market for OpenAI. The right marketer will build the trust, customer proof, integrated programs, and operating model needed to turn market interest into durable adoption. This role will shape how OpenAI shows up to businesses across Australia and New Zealand at a pivotal moment for AI adoption. 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.