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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, Ireland About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. Responsibilities Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior. Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance. Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems. Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite. Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency. Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry. Experience and Skills A minimum of 2+ years proven experience in a data science or advanced analytics role. Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics. Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models. Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments. Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value. Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication. Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments. Preferred but not required Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment. Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range €47.300 — €59.400 EUR By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This is an overnight shift role with working hours of 12:00am - 7:00am EST. As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible. In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership. Some examples of our projects: A tool to quickly analyze strace output A solution to capture the state of a customer’s server for easier troubleshooting A functionality to ChatOps to make it easier to identify user accounts on GitLab.com What you’ll do Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints. Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements. Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues. Participate in regular pairing sessions with other Support Engineers and act as a stable counterpart to cross-functional teams to share knowledge and improve support processes. Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient. Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments. Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions. What you’ll bring Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows Skill in creating and maintaining clear, accurate support content and technical documentation Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role About the team At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries. We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: Torrance, United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow Client's engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, an driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. RESPONSIBILITIES Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping, and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. COLLABORATION Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. BASIC QUALIFICATIONS Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). PREFERRED SKILLS AND EXPERIENCE Programming Expertise : Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors and microcontrollers (e.g., PowerPC, x86, ARM). TECHNICAL SKILLS Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field , or equivalent practical experience. Open to candidates across experience levels, including early-career engineers and senior technical contributors . Experience with systems programming using C++, Python, Rust, or similar languages . Familiarity with Linux-based development . Experience with low-level systems, hardware interfaces, or embedded software. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Security clearance or other U.S. Government authorization may be required depending on the position. Embedded Software Engineer- JD About the Role We are seeking Embedded Software Engineers to develop, test, and integrate software that drives and simulates advanced flight systems. The role spans multiple layers of the technology stack, including applications, operating systems, networking, firmware, and simulation . Engineers will work closely with hardware and software teams to build and debug mission-critical systems. Embedded Software Engineer- JD What We’re Looking For We’re looking for engineers at all experience levels who enjoy working close to the hardware , solving difficult systems problems, and building reliable software for complex flight systems. Embedded Software Engineer- JD Key Responsibilities Design and implement reliable autonomous software systems. Develop simulations used to validate software precision and system dependability. Participate throughout the software development lifecycle, from design and prototyping through testing, integration, and deployment . Evaluate test results and troubleshoot complex hardware/software issues. Perform hands-on integration and debugging across software and hardware systems. Develop tools supporting virtualized hardware, hardware-in-the-loop, and vehicle-in-the-loop testing . Collaborate with multidisciplinary engineering teams on advanced flight-system capabilities. Contribute to guidance algorithms and integrated seeker image-processing efforts. Lead major software projects when appropriate. Support testing and operations at launch or customer sites when required. Improve software standards, development practices, and engineering processes. Embedded Software Engineer- JD Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related STEM field, or equivalent practical experience. Experience with systems programming in C++, Python, Rust, or similar languages . Familiarity with Linux-based development. Understanding of low-level systems programming and hardware interfaces. Experience with interfaces such as UART and I2C is valuable. Strong problem-solving and debugging skills. Ability to work effectively in a multidisciplinary engineering environment. Embedded Software Engineer- JD Preferred Qualifications Strong C++ or Rust experience. Real-time embedded or distributed computing experience. Experience with Linux systems. Experience working with PowerPC, x86, ARM, or similar architectures . Bash, networking, and performance-analysis tools. Experience with debugging, performance optimization, and unit testing. Knowledge of TCP/UDP networking . Experience building prototypes from first principles. Embedded Software Engineer- JD

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: We’re looking for a Technical Content Marketing, Infrastructure to tell the story of fal’s infrastructure, from Serverless for deploying and scaling custom AI models across thousands of GPUs, to Compute for training on large, interconnected GPU clusters. You’ll work closely with Marketing, Product, and Engineering to turn complex technical work into content that developers and technical decision-makers actually want to read, and that makes fal the obvious place to run generative media workloads. Some of the most interesting work happening at fal is deep inside the infrastructure, and most of the market never sees it. Your job is to uncover those stories and make them impossible to miss. WHAT YOU’LL DO - Write technical blogs, landing pages, guides, tutorials, solution pages, and product launch content for Serverless and Compute - Work directly with engineers to uncover interesting technical stories and turn them into clear, compelling content - Explain topics like inference performance, GPU infrastructure, autoscaling, distributed workloads, model serving, training, latency, and throughput - Develop technical deep dives and architecture content that demonstrates how fal works under the hood - Create benchmarks and competitive content that clearly communicates where fal performs differently - Interview customers and turn their work into technical case studies and customer stories - Support SEO and AEO by building authoritative content around the infrastructure problems developers are searching for - Translate product launches and engineering breakthroughs into narratives that resonate beyond the engineering team - Build and maintain a consistent technical voice for fal across the website, blog, and other developer-facing channels - Work with Product Marketing to identify the stories and topics that will drive awareness, adoption, and demand QUALIFICATIONS/NICE-TO-HAVES - An exceptional technical writer who can make complex systems clear without dumbing them down - Strong understanding of cloud infrastructure, AI/ML infrastructure, developer tools, or adjacent technical products - Comfortable talking with engineers about GPUs, inference, distributed systems, APIs, model serving, and performance - Able to independently research technical subjects, ask the right questions, and turn engineering knowledge into polished content - Strong instincts for both technical accuracy and storytelling - Experience writing for developers and technical decision-makers - Understanding of SEO/AEO and content distribution, not just writing in isolation - Comfortable moving quickly and publishing frequently in a fast-changing technical environment WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $150,000 - $200,000 + equity + comprehensive benefits package   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: We’re looking for a technical Product Marketer to own go-to-market for fal’s infrastructure products, from Serverless for deploying and scaling custom AI models across thousands of GPUs, to Compute for training on large, interconnected GPU clusters. This isn’t a role where you inherit a finished product and write messaging around it. You’ll sit at the intersection of product, engineering, sales, and marketing, shaping how we position our infrastructure, how we take it to market, and how GTM insights inform what we build next. Generative media is creating a new class of infrastructure workload: compute-intensive, latency-sensitive, highly variable, and operating at enormous scale. The infrastructure for it is still being built. You’ll help define the category, tell the story, and shape the products behind it. WHAT YOU’LL DO - Own positioning, messaging, and GTM strategy for Serverless, Compute, and future infrastructure products - Turn deeply technical capabilities into clear, compelling stories for developers and technical decision-makers - Develop our competitive positioning across inference platforms, GPU clouds, hyperscalers, and in-house infrastructure - Partner closely with Product and Engineering, bringing market and customer insight into roadmap and product decisions - Build demand-gen programs that drive product adoption, pipeline, and revenue - Own SEO and AEO strategy for infrastructure, capturing developers actively searching for inference, training, and compute solutions - Create technical blogs, benchmarks, product launches, solution pages, architecture explainers, demos, and sales enablement - Work with customers to develop compelling case studies and technical proof points - Find the best stories inside our engineering work and turn them into narratives the market remembers QUALIFICATIONS/NICE-TO-HAVES - Deep enough technical fluency to earn the trust of engineers and infrastructure buyers - Strong understanding of concepts like GPU infrastructure, inference, latency, throughput, autoscaling, distributed workloads, model serving, and training - Exceptional writing and storytelling. You can make complicated technology simple without making it simplistic - Experience taking technical products to market and translating product differentiation into demand - Comfortable moving between strategy and execution: from positioning a product to writing the launch page yourself - Strong commercial instincts and a focus on adoption, pipeline, revenue, and measurable GTM outcomes - High ownership and comfort operating in a fast-moving environment where the product and category are still being defined WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 - $220,000 + equity + comprehensive benefits package   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role. Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most. Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact. Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment. Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic. Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share. Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value. Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account. Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through. Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers. Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers. Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements. You may be a good fit if you have 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager. 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply. Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment. Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly. Strong programming skills with proficiency in Python or TypeScript and experience building production applications. A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps. Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery). The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems. A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity. Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong candidates may also have Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role. Experience with marketplace, embed/OEM, or co-sell motions. Prior forward-deployed engineering leadership. Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions. Experience coaching engineers from purely technical roles into customer-facing, advisory work. Executive briefing and public speaking presence. Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Austin Job Title: Senior Software Engineer, Cloudflare for SaaS Role Summary Cloudflare for SaaS lets SaaS providers offer their services on domains branded for each customer, rather than on the provider's own domain. The product powers customer domains and automates the complex work behind onboarding domains, validating ownership, issuing and renewing certificates, and safely deploying configuration across Cloudflare's global network. The team builds the APIs and control-plane systems used by some of the world's largest platforms. We are evolving these systems to support tens of millions of customer domains, faster and more reliable APIs, simpler configuration at scale, and more Cloudflare products for each customer domain. This work combines customer-facing product development with challenging problems in distributed systems, data modeling, state consistency, observability, and operational reliability. Cloudflare is looking for a Software Engineer to design, build, and operate the services behind Cloudflare for SaaS. You will work primarily on backend services and RESTful APIs in Go and other languages, modernize legacy control-plane workflows, and improve the reliability and scalability of production systems. You will collaborate with product managers and engineers across Cloudflare, write clear technical specifications, review code, instrument services, and help diagnose and resolve operational issues. What You'll Do Design, build, and operate reliable backend services and APIs for managing customer domains and their configuration. Evolve the control plane to support tens of millions of customer domains without sacrificing correctness, availability, or API performance. Improve certificate and domain lifecycle workflows, including onboarding, validation, renewal, migration, and safe deletion. Model ownership and shared state carefully so changes remain consistent across distributed services and configuration stores. Build useful observability, alerts, and operational procedures, and participate in debugging and incident response. Collaborate across engineering and product teams, document designs and tradeoffs, and review the work of fellow engineers. Role Requirements (Must-Have Skills) 3+ years of professional experience building backend systems at a technology company. Experience writing production-quality code in Go or another language, with a willingness to learn Go. Experience designing, building, and operating distributed systems or high-scale services. Strong debugging and troubleshooting skills across applications, data stores, and production environments. Proficiency with modern Unix/Linux development and runtime environments. A track record of delivering well-tested, reliable code and taking ownership of it in production. Clear written and verbal communication, including the ability to explain technical decisions and tradeoffs. Desirable Skills, Knowledge, and Experience Experience designing and evolving RESTful APIs used by external customers. Working knowledge of SQL and relational databases such as PostgreSQL, including schema and query design. Understanding of distributed-systems concerns such as consistency, caching, concurrency, and failure recovery. Experience modernizing legacy systems or migrating workflows to a service-oriented architecture. Experience with observability tools and practices, including metrics, logs, tracing, alerting, and SLOs. Familiarity with PKI/TLS, certificate lifecycle management, ACME, DNS, or domain validation. Experience with message queues, Kubernetes, or globally distributed configuration systems. Interest in building intuitive product experiences for customers managing large fleets of domains. 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.

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are The Data Center Business Operations Manager is responsible for building, implementing, and continuously improving the operating frameworks, processes, and services that enable the business to operate consistently and effectively across locations and functions. This role owns the development of enterprise-level business operations standards, including processes, procedures, governance, taxonomy, naming conventions, documentation standards, tools, and operating expectations that teams use across the organization. The Business Operations Manager partners closely with Finance, Procurement, Legal, HR, IT, and other corporate functions to translate company requirements into practical processes that meet the needs of the business and can be effectively implemented at the site and functional level. The Business Operations Manager also leads the development and management of Workplace Services programs that require consistency and coordination across the organization, including vehicle fleet, uniforms, transportation services, culinary programs, and other shared operational services. The Business Operations Manager establishes the program strategy, standards, processes, and expectations, while onsite Program Managers and local teams are responsible for implementing and managing those programs at the site level. This role requires someone who can move fluidly between strategy and execution: designing scalable enterprise processes, partnering with corporate functions, building operational programs, and ensuring those programs can be successfully implemented in the field. What You’ll Do Business Operations & Enterprise Standards Design, implement, and continuously improve enterprise-level business operations processes, procedures, workflows, governance standards, templates, tools, and operating expectations. Establish and maintain consistent standards for how information is organized and managed, including taxonomy, naming conventions, documentation standards, project structures, reporting conventions, and other common ways of working. Develop scalable frameworks and playbooks that teams can use to execute work consistently across departments, projects, and locations. Identify recurring friction, process gaps, unclear ownership, inefficient handoffs, and inconsistencies across the business and implement scalable solutions. Monitor adoption and effectiveness of business operations processes and standards, identifying gaps and driving continuous improvement as business needs evolve. Cross-Functional Process & Project Support Partner closely with Finance, Procurement, Legal, HR, IT, and other corporate functions to translate company-wide requirements into practical processes that appropriately support the needs of the business. Partner with Finance and Procurement on the development and rollout of processes related to budgeting, forecasting, purchasing, vendor management, financial controls, and other requirements. Support Legal with project management and cross-functional coordination for initiatives requiring structured planning, ownership, milestones, dependencies, and follow-through. Workplace Services Programs Build and oversee enterprise Workplace Services programs that support consistent, efficient operations across locations. Establish the strategy, standards, processes, service expectations, and governance for programs such as vehicle fleet, uniforms, transportation services, culinary services, onsite office space and other shared workplace or operational services. Partner with Procurement, Finance, Legal, and other stakeholders to establish appropriate vendor strategies, contracts, budgets, controls, and service-level expectations for Workplace Services programs. Develop enterprise playbooks and implementation standards for Workplace Services programs, providing clear direction to onsite Program Managers and local teams responsible for execution. Monitor program performance, service quality, cost, compliance, and business needs across locations and continuously improve programs as the organization evolves. Identify opportunities to standardize services, improve the employee experience, reduce operational friction, create efficiencies, and appropriately leverage enterprise scale. Standards & Governance Establish enterprise program management standards, methodologies, tools, templates, and expectations that the team can apply across the organization. Develop and maintain standards for work management systems, ensuring information is structured consistently and provides meaningful visibility across projects, departments, and locations. Partner with PMO to establish appropriate reporting standards, dashboards, KPIs, portfolio reporting, and operating reviews to provide visibility into business priorities, execution, risks, dependencies, and capacity.Establish effective meeting, communication, and operating rhythms, including portfolio reviews, leadership updates, cross-functional operating reviews, and escalation mechanisms. Establish priorities, expectations, and operating standards for regional Program Managers and ensure their work aligns with broader business priorities and enterprise operating practices. Provide coaching, guidance, and development to regional Program Managers while creating accountability for execution and results. Ensure regional Program Managers effectively support sites within their respective regions by coordinating cross-functional initiatives, resolving operational issues, implementing enterprise programs, and maintaining visibility into local priorities, risks, and dependencies. Partner with site and functional leaders to ensure regional Program Manager resources are deployed against the highest-priority business needs. What We’re Looking For 6+ years of experience in business operations, strategy and operations, program management, PMO operations, workplace operations, or a similar cross-functional role. Demonstrated experience designing and implementing scalable operating processes across multiple teams, functions, or locations rather than simply administering existing processes. Experience developing enterprise standards, operating procedures, governance frameworks, playbooks, taxonomies, documentation standards, and common ways of working. Strong understanding of how business operations interact with Finance, Procurement, Legal, HR, IT, and other corporate support functions. Experience translating corporate policies, controls, and functional requirements into practical operating processes that meet the needs of the business. Experience building or managing shared operational or Workplace Services programs, such as fleet, transportation, food and beverage/culinary, uniforms, facilities-related services, or other enterprise services. Strong program and project management capabilities, with experience establishing governance, accountability, reporting, and operating rhythms across complex organizations. Experience with portfolio reporting, KPI development, dashboards, process documentation, and project/work management platforms. Strong process-improvement mindset with the ability to identify root causes, simplify workflows, standardize where appropriate, and drive adoption of new ways of working. Ability to influence and create accountability across teams without direct reporting authority. Strong analytical, organizational, and communication skills with the ability to translate complex requirements into clear, executable processes. Comfortable operating at both the strategic and detailed execution levels—able to design enterprise operating models and programs while remaining close enough to execution to ensure they work in practice. PMP or equivalent project/program management certification preferred. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. What We Offer (US): Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $129,000 — $207,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for a Quantitative Researcher to join our growing Prediction Markets team. The team develops systematic trading strategies across a wide range of prediction markets. This role combines quantitative modeling, market data analysis, and strategy development to identify opportunities in rapidly evolving markets. You will work closely with traders and engineers across the full strategy lifecycle, from initial research and model development through production deployment and live performance analysis. What you’ll do: Apply statistical and machine learning methods to develop predictive models and trading signals Analyze large and diverse datasets to identify market opportunities and inefficiencies Research how short-term signals from related financial markets can improve prediction-market pricing and trading Conduct research into pricing, market making, market microstructure, execution, and risk management Conduct rigorous quantitative research and evaluate strategies through backtesting and simulation Develop analytical tools to monitor performance and improve live strategies Collaborate with traders and engineers to translate successful research into production trading systems Explore new products, datasets, and approaches as the prediction-markets business expands What we’re looking for: 2+ years of experience in quantitative research, systematic trading, data science, or a related field Degree in a quantitative or technical discipline such as mathematics, statistics, computer science, engineering, physics, or economics Strong knowledge of probability, statistics, and quantitative modeling Experience conducting research with large, noisy, real-world datasets Strong programming skills, particularly in Python Ability to formulate and independently drive open-ended research problems Strong attention to detail and a rigorous approach to testing and validating results Ability to communicate complex ideas clearly and work effectively with traders, researchers, and engineers Intellectual curiosity and a genuine interest in financial markets and prediction markets Additional experience that would be helpful: Systematic or electronic trading High-frequency or short-horizon signal research Probabilistic forecasting or machine learning Strategy backtesting and performance analysis Experience moving quantitative research into live production The strongest candidates will combine quantitative rigor with practical judgment, intellectual curiosity, and a willingness to take ownership of difficult, open-ended problems. The annual base salary range for this position is $200,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

Location: AZ_Mesa_HQ Who we are… Verra Mobility is a global leader in smart mobility. Verra Mobility Commercial Services creates smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for more than 8.5 million vehicles. Verra Mobility is a leading provider of connected systems, processing nearly 165 million transactions each year through connectivity with more than 50 individual tolling authorities and more than 400 issuing authorities. Arizona-based Verra Mobility Corp. currently operates in 15 countries and in 22 languages. The company is constantly looking toward the future, ensuring it creates relevant solutions today that will work tomorrow. Seeking to understand new customers, regions, and businesses that will shape tomorrow’s smart mobility experiences, Verra Mobility strives to ensure more people around the world reach their destination safely and easily. Keeping its core principles front and center, Verra Mobility is fueled by relationships, driven by impact, guided by what’s right, and energized by what’s next. Culture Verra Mobility Corporation is a rapidly growing, entrepreneurial company that operates with a people-first philosophy and approach. The company lives by its core values—Do What’s Right, Lead with Grace, Win Together, and Own It—in everything it does for its customers and team members. The company seeks to grow aggressively, both organically and through acquisition, to continue to be the undisputed market leader with these five core competencies: bias for action, customer focus, teamwork, drive for results, and commitment to excellence. Position Overview: Verra Mobility is seeking a Software Developer to develop, enhance, test, and support enterprise applications across modern and legacy technology stacks.  The ideal candidate has solid hands-on development experience with C#, modern .NET, REST APIs, React, and SQL, and is interested in growing their skills in cloud-native development, microservices, micro frontends, software design, and AI-assisted engineering. The role will contribute to building new cloud-based applications while also supporting and incrementally modernizing legacy applications built with .NET Framework, C#, and ASP.NET .. Essential Responsibilities: Develop and enhance applications using C#, modern .NET/.NET Core, ASP.NET Core, REST APIs, React, and SQL/PLSQL. Develop backend services, APIs, frontend components, and integrations based on technical designs and product requirements. Contribute to applications based on microservices and micro frontend architecture while following established architecture and engineering standards. Apply object-oriented programming, SOLID principles, clean-code practices, separation of concerns, dependency injection, and appropriate design patterns with guidance from senior engineers and Tech Leads. Develop reusable and maintainable React/TypeScript components and integrate them with backend APIs. Develop and deploy applications in a cloud environment, preferably Azure, following established cloud and DevOps practices Navigate the iterative development and release management processes within the Scrum framework. Develop and maintain automated unit, integration, and API tests and ensure changes meet established quality standards. Develop and maintain automated unit, integration, and API tests and ensure changes meet established quality standards. Use approved generative AI/code-generation tools to assist with requirements understanding, coding, refactoring, unit-test generation, debugging, documentation, and code reviews. Critically review and validate AI-generated code for correctness, security, performance, maintainability, and compliance with engineering standards rather than accepting generated code without verification. Collaborate with Product Managers, Tech Leads, senior developers, Architects, QA, DevOps, application support, and other team members. Continuously develop technical skills and progressively take ownership of more complex features and technical decisions. Take ownership of assigned stories/features from development through testing, deployment, and production validation. Continuously develop technical skills and progressively take ownership of more complex features and technical decisions. Qualifications: Bachelor’s degree in computer science, Information Technology, or Engineering (or equivalent experience). Typically, 6+ years of professional software development experience, with substantial hands-on experience developing enterprise applications using C# and .NET. Hands-on experience developing full-stack applications using .NET and modern frontend technologies such as React. Experience developing or consuming REST APIs and working with relational databases. Excellent communication (written & verbal), knowledge sharing, and collaboration skills. Experience within team environments and Agile project methodologies is a must. Technical Expertise: Solid hands-on experience with C#, .NET/.NET Core, ASP.NET Core, Web API, REST services, LINQ, dependency injection, asynchronous programming, and Entity Framework/EF Core. Experience with React, JavaScript/TypeScript, HTML5, CSS, component-based development, and REST API integration. Working knowledge of object-oriented design, SOLID principles, common design patterns, layered architecture, clean-code principles, APIs, and microservices concepts. Exposure to micro frontends and event-driven architecture is desirable. Experience or working knowledge of cloud development, preferably Azure, and familiarity with CI/CD, source control, automated builds/deployments, containers, application configuration, logging, and monitoring. Strong working knowledge of SQL and relational databases, preferably SQL Server, including queries, stored procedures, data access, troubleshooting, and performance fundamentals. Ability to understand, maintain, troubleshoot, and enhance applications using .NET Framework, C#, ASP.NET , and SQL Server. Experience writing unit tests and familiarity with integration/API testing, mocking, code reviews, static analysis, debugging, and secure coding practices. Practical experience—or strong willingness to become proficient—with generative AI/code-generation tools for coding, unit testing, debugging, refactoring, documentation, and development productivity. Aligned with Verra Mobility Values: Do What’s Right – We’re committed to doing the right thing for each other and for our customers – integrity is our DNA. Lead With Grace – We embrace the importance of our colleagues and customers and always treat them with kindness and grace. Own It – We foster a culture of accountability and excellence, where going the extra mile is standard practice. Win Together – We are ambitious and like to win, but we know we win more when we include others and work together. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: Canada Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Position Overview As a Security Engineer (Pre‑Sales) at Vectra.ai, you will blend deep technical expertise with strong customer‑facing skills to build trust, influence architectural direction, and drive successful outcomes for our clients. You’ll guide prospects through technical discovery, articulate how Vectra’s AI‑driven detection and response platform solves their most critical security challenges, and deliver compelling demonstrations and proofs‑of‑concept that showcase our value. Responsibilities Pre-Sales support and Technical Account Management associated to your Regional Sales Managers Walk customers and partners through demos and problem solving in clear, concise matter by being the subject matter expert on all things Vectra. Communicate cross functionally constantly to ensure all key stakeholders are in the loop in order to insure best-of-breed products, tools and documentations. Develop and maintain an in-depth technical knowledge of the Vectra product line. Identify new opportunities by creating and developing strong technical relationships with customers and channel partners. Maintain knowledge at a high technical level of the current security landscape. Collaborate with Customers on Technology reviews, product findings, and integration with other technologies they may have. Collaborate with other Vectra Engineers on high-level projects to deliver Vectra technologies to our customers. Explore and maintain knowledge of Vectra's key competitors. Participate in deployment review and forecast calls. Participate in design review and release meetings. Travel as needed within region. Experience and soft skills Startup DNA is a must: willing and able to do "whatever it takes" with motivation to find solutions rather than admire the challenge. Customer-first behaviour is a must. Ability to work hands-in-hands with your Sales counterpart (RSM) . 5+ years experience in a Technical Account Management or Security Engineering role. Large account management experience is required. Technical qualifications Deep understanding of security-focused product lines (CASB, EDR, SIEM or forensics-type platforms) with the ability to translate into value and security best practices. Strong knowledge in networking and ability to understand L3 to L7 OSI layers. String written (RFP) and verbal communications (Pre-sales presentations and conferences) are a must. Good understanding of an attacker progression (Red Team or Pentest). Certifications such as CEH, OSCP, OSCE is a plus. Good understanding of Incident Response (Blue Team) methodologies. Certifications such as GNFA is a plus. Good understanding of Cloud Security and Network Architectures. Certifications such as AWS Certified Security Specialty (SCS-C01) is a plus. Good understanding of Security Processes and methodologies. Certifications such as CISSP is a plus Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $201,800 — $273,100 CAD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow client engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, and driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. Responsibilities: Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. Collaboration: Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. Basic Qualifications: Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). Preferred Skills and Experience: Programming Expertise: Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors an microcontrollers (e.g., PowerPC, x86, ARM). Technical Skills: Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do Topology and load management. Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support. Reliability modeling. Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet. Power modeling and load forecasting. Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting. Partner diligence. Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces. What We're Looking For Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles. Depth in at least one of: reliability engineering, power modeling and energy scheduling, or load management and controls (telemetry, IT/OT interfaces, load transfer and shedding systems). Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience with software that bridges IT and OT. Exposure to accelerator deployments and their power management interfaces, or to capacity overallocation in large compute fleets, strongly preferred. Ability to translate between infrastructure engineering, software teams, legal and commercial teams, and external partners. Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering Demonstrated experience with data center power distribution and cooling system architectures, and infrastructure failure mode management Demonstrated experience in at least one of the following: Building quantitative reliability or availability models (Monte Carlo, fault tree, reliability block diagram, or FMEA) Building power, energy or capacity models and forecasts from measured data Building, testing or operating software-based power management, load shedding, or control systems Track record of cross-functional collaboration across hardware, software, and facilities teams Preferred Qualifications Experience in more than one of the three focus areas above Experience with accelerator-class deployments, rack power architectures, and their power management interfaces Experience with integrated systems testing and commissioning (L4/L5), or writing sequences of operation Experience with SLA development, availability commitments, or service credit frameworks in leases or cloud contracts Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation Exposure to ML or optimization techniques applied to infrastructure or energy systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.   Coinspaid is building out Product Operations — the function that owns how our product is configured, deployed, and monitored in production, and ensures it performs correctly for clients and markets. Operations Manager works directly with the Head of Product Operations to take operational ownership of our highest-priority processes. You'll be the person who makes sure product configuration, releases, and client setup are controlled, traceable, and never a surprise in production. This is a senior, hands-on individual contributor role for someone who wants to build the operating model for a function from the ground up, not maintain one that already exists. What You'll Do Own product configuration in production — active features, available assets and flows, operational parameters and limits — and keep it consistent, visible, and traceable at all times. Coordinate deployments and releases — decide where and when capabilities are activated, confirm operational readiness before go-live, and bridge the gap between product delivery and real usage. Configure the product for clients and markets — feature availability, limits, thresholds, and parameters, ensuring what's live matches what was agreed with each client and jurisdiction. Apply fee logic correctly — implement fee configurations, validate calculations, and maintain a clear history of every change. Manage asset and transaction configuration — control the operational parameters affecting transactions, and enable or disable flows based on operational or market conditions. Implement regulatory and market constraints — apply jurisdictional and compliance-driven restrictions to product behavior, working closely with Compliance on anything with regulatory weight. Monitor operational health — track transaction performance, configuration correctness, and asset/feature availability; detect anomalies early and escalate to the right team with a clear read on business impact. Keep configuration governance intact — maintain a structured, up-to-date view of what's active, and make sure every change is intentional and traceable back to its source. What We're Looking For Senior-level experience (5+ years) in operations, product operations, or a comparable operational role — you've owned a production environment before, not just supported one. Hands-on crypto or blockchain industry experience is required — you understand how crypto assets, wallets, transactions, and custody flows work in practice, not just in theory. Experience working with production configuration in a regulated environments — you're comfortable with the discipline that comes with compliance and audit requirements. A track record of building processes where none existed — you don't wait for a playbook, you write the first one. Strong ownership instincts: able to prioritize your own operational backlog without close supervision. Clear, structured written communication — documentation and traceability are core to this role, not an afterthought. Based in the EU, available to work fully remote.   Nice to have: Familiarity with configuration/feature-flag tooling, and BI or dashboarding tools. Exposure to AML/compliance-adjacent workflows. Experience in payments/banking business.  Experience in technical pre-sales or technical product consultancy B2B software business. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Singapore Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking an exceptional VP of Tech Expansion to lead the global adoption and commercial expansion of Tether’s technology ecosystem. Reporting directly to the Chief Expansion Officer, this executive will oversee the expansion of current and future technologies across areas such as artificial intelligence, self-custodial infrastructure, peer-to-peer systems, and digital & financial infrastructure. The VP will lead several senior professionals globally and teams responsible for expanding Tether’s different technology verticals, ensuring a coordinated global strategy and compelling propositions for major companies, institutions, and governments. The VP will own the talent agenda for international expansion: recruiting, developing and motivating team members, and deepening the existing bench of global leaders across verticals. This is a senior, hands-on leadership role requiring strong technology understanding, commercial judgment, executive presence, and global relationship-building capabilities. The ideal candidate can engage with CEOs, CTOs, CIOs, and government leaders, translate complex needs into technology solutions, and convert opportunities into major partnerships and deployments. Equally important, the VP will turn these engagements into replicable, scalable products and playbooks, so that each deployment strengthens Tether's ability to enter the next market rather than remaining a one-off. International travel is required. Responsibilities Global Strategy & Business Development Define and execute the global expansion strategy for Tether’s technology ecosystem. Establish priorities across current and future technology verticals. Identify high-potential markets, industries, partners, and use cases. Build relationships with CEOs, CTOs, CIOs, government leaders, and other senior stakeholders. Personally originate, structure, negotiate, and close major partnerships and deployments. Position Tether as a long-term technology and infrastructure partner. Solutions & Execution Connect Tether’s different capabilities to develop tailored and integrated solutions. Translate market and partner requirements into clear opportunities for product and engineering teams. Coordinate internal stakeholders and external implementation partners from initial concept through deployment and scale. Ensure major projects are delivered on time, within budget, and against measurable objectives. Monitor solutionss performance, identify risks, and develop mitigation plans. Leadership Lead the senior professionals and teams responsible for expanding Tether’s different technologies. Set clear priorities, KPIs, and accountability / monitoring frameworks. Build a high-performing global Tech Expansion organization. Ensure effective collaboration with regional Expansion, product, engineering, legal, and regulatory teams. Develop repeatable commercial and execution playbooks across technologies and markets. Identify issues requiring escalation and bring them to the Chief Expansion Officer with clear context and recommended options. Strategic Representation Position Tether as a global leader in decentralized AI, resilient financial infrastructures, and user-centred technologies. Represent Tether in strategic engagements with major enterprises, institutions, governments, regulators, and industry leaders. Act as a senior ambassador for Tether’s technology vision at global conferences, industry forums and in front of global companies senior executives 12+ years of experience across enterprise technology, AI, digital infrastructure, fintech and digital assets, telecommunications, or technology business development, including senior leadership experience. Strong understanding of emerging technologies, decentralized infrastructure, and digital platforms. Proven experience originating, structuring, and closing major enterprise or government technology partnerships. Ability to engage credibly with C-suite executives, government leaders, and other senior decision-makers. Experience developing global go-to-market strategies across multiple technologies and markets. Strong leadership experience, including managing senior professionals and international teams. Exceptional communication, negotiation, and stakeholder-management skills. Ability to coordinate commercial, product, engineering, legal, regulatory, and implementation teams. Entrepreneurial mindset and ability to operate effectively in fast-moving environments. Degree in Business, Engineering, Computer Science, AI, or a related field, combining strong business expertise with a solid technology foundation; MBA preferred. Experience working across multiple regions and cultures. An established global network across major enterprises, technology companies, financial institutions, and governments. Nice to Have: Professional proficiency in three or more languages. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.