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Location: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. The Role GiveWell is hiring a Senior Philanthropy Advisor to manage and advise a portfolio of our largest donors. This role will help shape our relationship strategy with donors giving seven- to ten-figure gifts and will have significant influence over how GiveWell’s philanthropy function grows and evolves. You will manage and advise a portfolio of our largest donors, serve as a leader within our philanthropy team, and be a thought partner to our senior leadership team. Why We’re Hiring Now Many of our donors are analytical, quantitative thinkers, and their deep engagement with our research makes our work better. We've built a philanthropy team to match. We take the time to understand what our donors value, we treat their giving as a true partnership, and we invest in learning our own research deeply so we can help donors do the same. We measure our relationships in years, not quarters. We face a historic opportunity to scale giving to high-impact causes and to save and improve lives around the world. To meet this moment, we are engaging a new generation of major philanthropists, while strengthening the partnerships model that has made our existing donor relationships so productive. We believe that deepening our philanthropic partnerships with our current and future major donors is one of the highest-leverage actions GiveWell can take to ensure significantly more funding for some of the world’s most cost-effective programs. What You’ll Do Build long-term, trust-based relationships with major donors that deepen donors’ understanding of GiveWell’s work. Proactively identify the insights, data points, and narratives from GiveWell’s research that are most relevant to major donor decision-making. Drive and lead team-wide initiatives and significant projects to make our work accessible, from learning journey design, playbooks, and systems to donor events and donor communications. Translate GiveWell’s research into original donor-facing content that makes our work accessible to analytically sophisticated, time-poor major donors. Serve as a strategic advisor to GiveWell’s leadership. Drive improvements to our philanthropy culture, systems, and processes to improve how our philanthropy function operates and scales. About You You understand how people translate their values into action. You're comfortable connecting with a wide range of people, from the donor who wants to deeply understand every assumption in our model to the donor who wants a high-trust, low-friction recommendation they can act on quickly, and everyone in between. Your background includes significant experience earning trust with discerning, analytic people, where you are a partner in somebody else's high-stakes decisions. You've experienced navigating this, not by telling them what to do, but by helping them think clearly and get the right information to support what they're trying to accomplish. You know how to help people navigate doubt and complexity. You are comfortable both bringing a clear point of view (for example, by saying, "Here's what I would do") and helping people strengthen their own judgment over time. You are excited by intellectually demanding work. You are ready to engage with complex global health topics, including our cost-effectiveness models, program evaluation, and evidence quality. You are driven to get up to speed and be ready to explain them clearly to audiences who will push back on our thinking. You are excited to engage with hard follow-up questions and people who will expect rigorous answers. While you don't need prior global health experience, you will need to demonstrate you can get up to speed quickly on complex quantitative subject matter and translate it rigorously and credibly. You bring high emotional intelligence, curiosity, and a clear sense of mission to your day-to-day work. You’re a collaborator who connects dots and builds relationships across teams. You bring depth of leadership experience, and you are comfortable supporting strategic decisions and rolling up your sleeves to build and shape our work. You are ready to bring adaptive energy to this work while being comfortable deeply explaining your reasoning and taking time to reach high-quality decisions where it matters. Strong candidates will have: A track record of managing sophisticated, high-stakes relationships—whether with major donors, ultra-high-net-worth clients, foundation officers, board members, or similarly discerning stakeholders in another field entirely. Exceptional relationship management skills, with high emotional intelligence, an advisory mindset, and the ability to hold a large amount of context about a person and synthesize it in real time. Interest in global health and development, and the ability to engage in complex research and ideas even without prior experience in the sector. Excellent communication skills, written and verbal—clear, tailored, and credible messaging for discerning stakeholders, including comfort producing original written content. Leadership skills to partner with senior staff and influence across teams collaboratively. Strong operational expertise: leading cross-team projects, building scalable processes, and translating strategy into action. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, humility, and long-term trust-building. Who Tends to do well: People who enjoy building relationships and understanding what motivates the people they work with People who can engage thoughtful, analytical audiences and handle nuanced conversations Fast learners who can pick up complex, unfamiliar subject matter and enjoy translating it verbally and into written content Self-starters who take ownership and work well in a collaborative, evolving team People who are proactive and anticipatory—who reach out before the other person knows they need something People who are comfortable sitting with complexity and helping others navigate uncertainty People who are enthusiastic about GiveWell's mission and values Key Questions What are some of the reasons I might not like this role? You prefer research or analysis over building relationships with people You struggle with initiating challenging or direct conversations You  prefer highly structured environments with clear answers at all times You prefer to share information and let others draw conclusions, rather than offering their own synthesis and point of view What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We'll share more specific details if we invite you to move forward to any of the following stages, but our current plan is: Screen with our Manager, Talent Acquisition Compensated 4-hour work trial (written) Interviews with our VP, Philanthropy and Senior Manager, Philanthropy Additional work trial (live interview) with our VP, Philanthropy and a Senior Philanthropy Advisor Final Onsite in our Oakland, California headquarters, where you’ll interview with members of our executive leadership team in person (we will cover your travel expenses). References Note that you don't need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we're making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You'll report to our VP of Philanthropy. Compensation : NYC or the San Francisco Bay Area: $247,500 All other U.S. locations: $225,000 Location: This position is eligible to work fully remotely within the US. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC;. We'll cover relocation expenses for candidates who wish to move to one of these physical office locations. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year One week all-office closure 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team Own the account backbone of a CeFi platform trusted by millions — login, registration, account security, MFA, Passkey — where a single security regression is measured in real user funds. The more senior you are, the more you set the technical direction others build on. What You'll Be Doing Own account-system subsystems end-to-end — authentication, MFA, Passkey/WebAuthn, session & device trust, account registration and recovery — including architecture, tradeoffs, and long-term evolution. Design flows that are secure and low-friction at millions-of-DAU scale — the hardest tradeoff in this space. Partner with risk & security teams to turn threat models into shipped mobile defenses. Build our AI-native engineering practice — design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while safeguarding delivery quality and efficiency . Raise the bar through design and code review, and by making the engineers around you better. At the Staff level: set technical direction beyond your own subsystem and drive cross-team, cross-timezone decisions that shape the account platform. What We Look For In You Deep, hands-on experience building native iOS and/or Android — you understand the platform, not just a framework on top of it. Experience with a cross-platform / shared business-logic layer . We build ours in Rust + UniFFI ; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach — KMP, Flutter, or React Native — transfers well and is valued. Fluent in at least one of: Swift / Kotlin / Rust / Objective-C / Java / JavaScript , with strong CS fundamentals. Architecture experience with large-scale mobile apps — you've applied maintainable design patterns and own solutions from requirements through to production. Hands-on with mobile authentication & security — OAuth/OIDC, MFA, secure storage (Keychain/Keystore), biometrics. Direct experience with Passkey / WebAuthn / FIDO2 is a strong advantage — it's live in our stack and central to what you'll work on. Solid grasp of threat modeling and the mobile attack surface. You apply AI deeply in your own engineering — not just code generation . You've built, or are driven to build, automated development workflows and harnesses that make delivery both faster and more reliable . Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped. Comfortable with ambiguity and high scale — you've debugged problems that only appear under real production load. Signals we value: you naturally raise the standard of teams you join , mentor without being asked, and can grow into a technical anchor for the group. Nice-To-Haves Fraud / risk, cryptography, or regulated-industry (fintech) experience. Experience with mini-program or dynamic/hot-update frameworks . Crypto trading / Web3 experience. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote-Friendly, United States 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks 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-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping 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: $240,000 — $295,000 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at very large scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United States - Remote; Chicago, IL; Texas - Remote; Boston, MA; Florida - Remote; Minneapolis, MN; Michigan - Remote; Canada - Remote Workplace: remote About the Role The Azul Sales Engineer is a hands-on, deeply technical pre-sales leader responsible for delivering the technical win across opportunities within their territory. Azul sells to the most demanding Java estates in the world — enterprises running mission-critical, high-throughput, latency-sensitive applications on the JVM — so this role demands genuine engineering depth, not just presentation polish. A Sales Engineer earns credibility with engineers, architects, and executives alike by getting hands on: running technical evaluations in the customer’s own environment, tuning the JVM, interpreting GC and performance data, and translating measurable technical outcomes into clear business value. Beyond individual deals, the Sales Engineer uses their experience to mentor and uplevel the broader SE team. What You'll Do (aka Responsibilities) Own the technical win. Drive pre-sales engagements end to end — discovery of the prospect’s business and technical challenges, mapping Azul portfolio capabilities to those challenges, and validating the solution through demonstration and hands-on proof. Lead hands-on pilots. Design, scope, and personally execute product pilots and proofs-of-concept inside the customer’s existing environment: installing and configuring the JVM, running representative workloads, and capturing empirical results the customer trusts. Prove performance. Plan and run performance-focused engagements: establish benchmarks and success criteria, measure latency, throughput, GC pause behavior and resource efficiency, analyze GC and JIT logs, tune JVM settings, and quantify the improvement Azul delivers against the incumbent. Win at enterprise scale. Navigate complex, multi-stakeholder enterprise engagements (large production estates, strict SLAs, security and compliance review, and long procurement cycles) coordinating technical validation across many teams and environments. Present at every altitude. Deliver presentations and demos across all technical levels, from CxOs to hands-on developers, to “make the complex simple” and communicate Azul’s value to each audience. Respond to technical requirements. Understand and respond to solicited and unsolicited proposals (RFI/RFP) by aligning Azul capabilities against detailed technical and business requirements. Orchestrate the extended team. Engage Product Management, Engineering, and the CTO office as needed to remove technical blockers and secure the win. Partner on territory strategy. Work alongside your Account Executive(s) on territory planning: pipeline generation, growing existing accounts, and enabling partners. Grow and retain customers. Nurture existing clients to promote customer success and to create new upsell and cross-sell opportunities. Evangelize. Present at conferences, workshops, and roadshows to raise awareness of the Azul portfolio and build funnel. Mentor the team. Provide expert assistance to other SEs on pilot planning and execution, run training sessions, and serve as a primary mentor to onboarding SEs. Be a trusted advisor. Advise your manager on product, territory, and team matters. Technical Competencies These are the core technical strengths that define a successful Sales Engineer at Azul: Java & the JVM. Deep, hands-on knowledge of Java internals and the JVM: class loading, JIT compilation, memory model, and garbage collection. Able to read and reason about GC logs and runtime behavior, not just describe them. Performance engineering. Practical experience benchmarking, profiling, and tuning JVM-based applications for latency, throughput, and scale; comfortable diagnosing GC pauses, warm-up, jitter, and resource-efficiency issues in production-like conditions. Hands-on aptitude. Confident on the command line and in customer environments: installing, configuring, and troubleshooting runtimes; able to build and run a POC independently. Enterprise application stacks. Solid understanding of Java-based applications and frameworks that run on or alongside Azul products (e.g., Cassandra, Kafka, Solr, Spring). Cloud & containers. Working knowledge of cloud platforms (e.g., AWS, Azure, GCP) and container/orchestration technologies (e.g., Docker, Kubernetes). Portfolio SME. Demonstrate SME-level depth and breadth across the entire Azul product suite, and continuously grow technical acumen through enablement, hands-on experimentation, and self-study. What You'll Bring Qualifications 5+ years in a Sales Engineering / pre-sales role supporting enterprise software, ideally in the Java, middleware, performance, or infrastructure space. 3+ years of hands-on Java development or testing experience with a demonstrable command of Java architecture. Proven track record of hands-on pilots and POCs and of performance-related engagements where you measured and demonstrated technical results in a customer environment. Experience selling into large enterprises — complex, multi-stakeholder, mission-critical production environments. Bachelor’s degree (or equivalent) in Software Engineering, Computer Science, or a related IT discipline; a master’s or higher in an IT or business discipline is a plus. Working knowledge of cloud and container technologies (e.g., AWS, Docker/Kubernetes). Solid knowledge of sales process and CRM (MEDDICC and Salesforce preferred). Willing and able to travel up to 30%. Fluent in your territory’s primary language, with strong professional English. Skills & Attributes Strong oral and written communication, effective one-on-one and in front of large groups. Proven critical-thinking and problem-solving skills; able to solve complex technical challenges with minimal supervision. Highly organized, detail-oriented, with excellent time management. Highly professional and ethical. Thrives in a fast-paced environment and can multitask across client challenges, meetings, and team needs, occasionally outside normal business hours. Collaborates across disciplines, with the EQ to understand multiple perspectives toward a common goal. A proven winning record. #LI-MD1 What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job $150,000-$175,000.  This job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, equity participation plan, 401(k) plan, and a wide range of paid time off options.

Location: Hyderabad, India; India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Technical Program Manager, you will own the delivery of a defined workstream within large-scale GPU and data center infrastructure deployment programs. In this role you’ll be responsible for tracking progress, managing dependencies, and ensuring your workstream is delivered on time and at quality. This is a hands-on role at the intersection of infrastructure, execution, and coordination, with strong exposure to real-world data center delivery. Travel: On-site presence at data centers will be required during key deployment phases. Your responsibilities will include: Own delivery of a defined workstream within a larger data center or infrastructure program. Track scope, schedule, and dependencies, escalating risks when needed. Coordinate with engineering, networking, construction, and operations teams. Maintain clear and structured reporting on progress, risks, and blockers. Support vendor and contractor coordination within your scope. Work closely with the Senior TPM to align on priorities and execution approach. Technical Scope & Expectations This role requires exposure to physical infrastructure environments, not only software-based projects. You should be comfortable working with or learning about: Data center environments: basic understanding of infrastructure readiness (power, cooling, space, networking dependencies). Compute infrastructure: knowledge about server and storage equipment. Networking: cabling, connectivity, and integration dependencies. Deployment & bring-up: understanding how systems move from installation to operational readiness. You are not expected to be an expert, but you should: Be willing to learn technical concepts quickly. Understand how different parts of infrastructure depend on each other. Identify when something is not ready or at risk and escalate appropriately. Communicate effectively with technical teams. We expect you to have: 2–5 years of experience in program management, operations, or technical coordination roles. Ability to organize work, track progress, and manage multiple tasks simultaneously. communication skills and ability to work with cross-functional teams. Structured thinking and attention to details. Willingness to learn and grow in a fast-paced, technical environment. It will be an added bonus if you have Exposure to data center, networking, or hardware-related projects, Familiarity with program management tools (Jira, Asana, etc.), Understanding of cloud environments infrastructure, Certifications or coursework in program management. # LI -RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $245,000 — $285,000 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: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications Experience in trust & safety, integrity, or risk policy work Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Comfort using data (SQL or similar tools) to measure what's working and inform decisions Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications Experience with graduated/tiered enforcement systems rather than binary ban models Experience with geographic access restrictions, sanctions screening, or reseller/channel policy Experience building or scaling a contractor review bench A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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 — $330,000 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 - US About the Job: The Mid-Market Account Executive will drive LaunchDarkly's growth across a blended book of net-new and existing accounts. Acting as the "quarterback" for a defined book of business, you will develop and execute account strategies, run technical discovery and proof-of-concept cycles, and help customers successfully test, purchase, and adopt LaunchDarkly's platform. Responsibilities: Pipeline Generation: Qualify and convert inbound leads at a rapid pace while prospecting into ICP target accounts. Value Articulation: Articulate and sell the value of LaunchDarkly's platform subscriptions and usage-based pricing model. Technical Discovery: Prepare for and run discovery sessions with prospects to surface core use cases and align pricing to third-party architectures (AWS, Azure, GCP). Solution Demonstration: Customize and deliver demos with the Solutions Engineering team, and run proofs of concept for prospects. Account Expansion: Own, build, and develop relationships with existing customers, uncovering and developing new opportunities within the install base. Customer Success: Educate, evangelize, and guide customers through successful adoption, delivering their feedback back to Product and Engineering. Revenue Growth: Consistently hit revenue targets across both net-new and expansion motions. Collaboration: Work with your manager, Sales Engineers, and cross-functional teams to ensure seamless execution and customer success. Strategic Thinking & Execution: Design and execute account strategies that balance net-new acquisition with expansion of existing customers. Identify and capitalize on usage-based pricing signals and third-party architecture fit to prioritize opportunities. Adapt strategies as customer needs and market dynamics evolve, ensuring continuous growth and a competitive edge. Full-Cycle Sales Expertise: Proven track record managing a full sales cycle, from inbound qualification and prospecting through close and expansion. Deep understanding of usage-based pricing models and the ability to manage discovery, demo, and proof-of-concept stages. Skilled in selling to Engineering Leaders, Platform Teams, CTOs, CIOs, and other technical decision-makers. Customer-Centric Problem Solving: Assess customer pain points and design tailored solutions, including proofs of concept, that create measurable value. Build long-term relationships with existing customers, acting as a trusted advisor who drives product adoption. Overcome obstacles and find innovative ways to expand LaunchDarkly's footprint within an account. Independent Decision Making: Work autonomously with minimal day-to-day supervision, making sound decisions based on account signals and data. Take ownership of your book of business, managing both acquisition and expansion motions with confidence. Prioritize tasks and make decisions quickly, ensuring alignment with broader revenue goals. Analytical Skills & Data-Driven Insights: Gain and apply an understanding of third-party cloud architectures to accurately position and price the usage-based model. Evaluate account signals and customer data to prioritize the accounts most likely to convert or expand. Keep all data current in SFDC, Aviso, and Outreach, and use these tools to track and analyze performance. Negotiation & Deal Structuring: Negotiate platform subscription agreements that balance customer needs with company goals. Create mutually beneficial agreements that support long-term adoption and expansion. Handle objections, overcome resistance, and close deals in a competitive market. Communication & Influence: Exhibit strong verbal and written communication skills, with the ability to influence and persuade key stakeholders. Present solutions and negotiate with technical decision-makers, ensuring clear understanding and alignment. Communicate complex, usage-based pricing concepts concisely and compellingly to diverse audiences. Collaboration & Team Leadership: Collaborate effectively with your manager, Sales Engineering, Product, and Customer Success to align efforts and drive growth. Demonstrate leadership in managing internal resources, ensuring alignment with company goals. Motivate and influence team members across departments to achieve common objectives. Results-Driven Focus: Maintain a strong focus on achieving measurable outcomes across both new-logo and expansion revenue. Accurately forecast sales targets on a weekly, monthly, and quarterly basis. Take ownership for results, holding yourself accountable for hitting quota. Qualifications: 2+ years of full-cycle sales experience. Proven track record of hitting or exceeding quota. Exceptional written and spoken communicator. Highly organized and autonomous. Comfortable and energized operating in a fast-moving organization. Entrepreneurial and self-motivated. Enthusiastic about learning and growing at LaunchDarkly. Intellectually curious and ambitious. Knowledge or experience in the developer tool space a plus. Experience selling to mid-market companies a plus. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 136,000 - $187,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $1 22,000 - $168,000 ** Zone 3: All other US locations - $ 116,000 - $159,000 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works. We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. As our users’ apps grow from a single service into complex, multi-service architectures, our biggest challenge is keeping it all feeling simple. We need a Product Designer to take that "pile of parts" and turn it into a cohesive system that actually makes sense. As a Staff IC, you'll also help raise the bar across the organization through mentorship, design leadership, and thoughtful cross-functional influence. This is a craft-focused IC role, and it's web UI at its most demanding. You'll own the surfaces developers depend on when the clock is ticking and things are breaking. Designing for infrastructure is unique: your screens see the most traffic when the user is most stressed, and "failure" is a first-class state, not an edge case. We’re looking for someone who finds that responsibility energizing. You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love untangling complex, messy problems and turning them into accessible, beautiful experiences. YOU WILL: - Make a multi-service system legible at a glance. Design the views that let a developer see how their services connect and depend on each other, instead of stitching the picture together one service at a time. This comprehension gap is where design can make a complicated system feel cohesive and friendly. - Design system-level observability. Aggregated logs, metrics, deploys, and events across a whole project, filterable by environment and resource — so a developer can answer "what's going on with my system" in one place. This is high-density information design where hierarchy, scanning speed, and progressive disclosure are the whole game. - Design deployment as a coordinated act. When an application has many services, coordination gets hard. You'll design cross-service deployment and rollback, and a preview model so shipping feels safe at any scale. - Design and consider all product states. You'll own the "unglamorous" moments. Like build errors, failed deploys, and empty states, and turn them into helpful experiences. Since developer tools earn their reputation by how they handle problems, your focus is on guiding the user to success even when things go wrong. - Own a first-run experience worth recommending. The path from signup to first successful deploy is where trust starts. You'll design it so that a developer's first ten minutes make them want to tell someone. - Contribute to where the platform goes next. Alongside the shipping work, you'll bring concept explorations and a strong point of view to a design-led discovery track, shaping the platform's future through a weekly critique cadence with the rest of the team. WE'RE LOOKING FOR: - 7+ years of relevant experience. Whether you’ve worked on developer tools, cloud infrastructure, or another complex, high-stakes product, we care more about your impact than your title. - Exceptional taste and craft. You have an eye for detail that borders on obsessive — typography, spacing, motion, density, interaction feedback. You notice when something is 2px off and it bothers you, and you've shipped work other practitioners admire. - Strong information architecture. You can take a tangle of objects and relationships and make it feel like one obvious thing. - You design the whole journey, not a screen at a time. Your portfolio shows a user carried coherently across every surface a feature touches — entry point to empty state to failure to recovery — not a set of polished screens that don't add up to a system. - Fluent in developer language. You know your way around services, CI/CD, and deployments. You don’t need to have built a cloud platform before, but you’re curious enough to get deep into the weeds of how it works. - Respect for failure states. You believe an error message is an interface, and you design for the user having a bad day, not just the happy path. - Systems fluency. You're comfortable working in and contributing to a design system as the product's surface area grows, extending it rather than fighting it. - Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait. - Clear, direct communication and a genuinely collaborative way of working with product and engineering partners — including sharing a problem space with another designer without needing hard fences between you. NICE-TO-HAVES: - Experience designing complex dashboards, monitoring tools, or console interfaces where data density and high-stakes clarity matter. - You've been on-call, run side projects, or debugged systems in production. You don’t just design for developers; you understand their mental models and the specific frustrations they face. - You’re as excited to design a CLI tool or shape an SDK as you are to build a web dashboard. You’re ready to explore new frontiers like agentic workflows and AI-assisted design, not just standard web UI. - Design-engineering literacy: comfort near code, motion, or prototyping. - Writing, talks, or side projects that demonstrate your craft and point of view. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: Senior Optomechanical Engineer - Location: Warsaw, Poland - Department: Engineering / Optical Systems - Reports to: Mechanical Engineering Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Optomechanical Engineer, you will be the critical link between optical and mechanical engineering, turning advanced optical designs into flight-ready mechanical structures for ICEYE's satellite payloads. Working hands-on across CAD, materials and precision mechanics, you will own the mechanical design of optomechanical assemblies through every stage of the product lifecycle, from concept and prototyping to manufacturing, integration, testing, and qualification for space. You will ensure that performance, precision, and alignment are preserved as an optical design moves from the design file to a finished satellite instrument. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Own the mechanical side of the optical payload's development, from early concept work through prototyping, and into production, integration, and pre-launch qualification, working hands-on on CAD design, analysis, and optimization throughout. - Sit at the interface between the optical and mechanical domain, reading and interpreting optical designs so that the mechanical structures, mounts, and adjustment mechanisms you build preserve their performance once assembled and tested. - Build and maintain close working relationships with external manufacturers and subcontractors, so that the components and mechanisms they deliver meet the precision, alignment, and quality the design calls for. WHAT WE’RE LOOKING FOR Must haves: - Expert knowledge and hands-on skills of mechanical CAD design, analysis and optimization including all phases of the project from the concept up to material and structural analysis. - Familiarity with the material science and engineering being able to guide material selection and analysis for the space environment (outgassing, thermal cycling, thermoelastic effects). - Embracing the challenge, mindset of owning problems and solving them, capability of taking risks and leaning forward when needed. R&D style of learning by doing and iterating on the parts that require improvement. - Experience in delivering design through suppliers - proven record of working directly together with manufacturers and subcontractors in order to get the design delivered to production, verified and validated. Nice to haves: - Exposure to space optics. - Experience with TVAC and vibration testing, and pre-launch qualification campaigns. - Experience selecting and qualifying optical components together with manufacturers. - Knowledge of metrology and measurement techniques for precisely actuated systems, including optical profiling and CMM methods. APPLICATION PROCESS - Talent Attraction Screening - Hiring Manager Screening - Onsite workshop + Technical discussion - Interview with Leadership WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United States; Canada; United Kingdom Role: Telecommunications Payload System Engineer 📍 Location: Montreal, QC, Canada 🏢 Work Arrangement: On-site 💼 Employment Type: Full-Time We are seeking a Telecommunications Payload System Engineer to support the development, integration, and testing of satellite communication systems. This is an excellent opportunity for professionals with experience in space systems, satellite communications, or related telecommunications disciplines who are looking to contribute to innovative aerospace projects. Responsibilities Support the design, integration, and testing of satellite communication systems and subsystems. Participate in the verification and validation of satellite hardware and communication architectures. Assist with digital signal processing (DSP) and RF system analysis. Contribute to technical documentation, test reports, and engineering reviews. Collaborate with cross-functional engineering teams to ensure project objectives are met. Support troubleshooting and performance analysis of satellite communication systems. Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field. 2–5 years of experience in space systems, satellite communications, or a related discipline. Foundational knowledge of digital signal processing (DSP), RF systems, and telecommunications architectures. Experience testing satellite subsystems. Strong analytical and problem-solving skills with excellent attention to detail. Ability to work effectively in a collaborative team environment. Strong written and verbal communication skills, including technical documentation experience. Preferred Qualifications Experience working within aerospace, defense, or satellite communications environments. Familiarity with satellite payloads, communication links, or ground segment systems. If you are passionate about space technology and satellite communications, we encourage you to apply.

Location: New York City, NY; 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. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments Minimum qualifications A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 8+ years of industry software engineering experience Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Poland; Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM   Payward Services is an enterprise infrastructure platform that enables companies to seamlessly integrate trading, payments, funding, and digital asset services through a single unified system. It provides coordinated liquidity, custody, compliance, risk management, and settlement capabilities, reducing operational complexity for fintechs, banks, brokerages, and payment providers. As a Senior Software Engineer in Payward Services you'll build and scale the systems that make this platform work under the hood, from real-time coordination across services to the infrastructure enterprise partners depend on to move money and assets safely, at scale, every day. We’re looking for builders who thrive in ambiguity, move quickly with ownership, and care deeply about creating robust solutions.   THE OPPORTUNITY - Design and implement robust Rust services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact. - Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security. - Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions. - Work alongside hundreds of experienced Rust engineers, contributing to a high-performance, product-driven engineering culture.   WHAT YOU BRING - 5+ years of software engineering experience - Proficient in writing network services or asynchronous code in Rust - Have a security-first mindset during system design to ensure robustness - Demonstrate the ability to autonomously debug issues across the stack (OS, network, application) - Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions - Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems - Take complete end-to-end ownership of systems and libraries - Provide mentorship to other engineers while contributing to defining the technical culture NICE TO HAVES - Experience building B2B focused products, ideally in the fintech or crypto space Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Valencia Workplace: Hybrid ROLE HIGHLIGHTS: • Senior Software Engineer - Tasking and Planning • Location: Valencia, Spain • Department: Ground Segment • Reports to: Engineering Manager • Employment type: Permanent • Workplace model: Hybrid (3 days per week in office) • Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Software Engineer on the Acquisition Planning team, you will build the software systems that enable ICEYE and its customers to task satellites, plan data acquisitions, and turn orbital mechanics into operational intelligence capability. From pass prediction and coverage computation engines to event-driven backend services and the engineering interfaces that let users visualise and de-conflict collection plans, you will own the stack end-to-end — working directly alongside engineers and product managers with deep operational backgrounds to understand what users need and ship software that delivers it. This is an early-stage, high-autonomy role where you will help define the architecture and direction of a platform that sits at the intersection of software engineering, applied mathematics, and real-world intelligence operations. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Tasking and Planning Engines. Orbit propagation, pass prediction, acquisition geometry, sensor configuration parameters, and coverage footprint computation. Applied science mathematics turned into operational capability via Software. - Platform Services. Backend services handling task management. Event-driven workers performing opportunity calculation and synchronising state asynchronously via NATS JetStream. PostgreSQL for persistence. Responsiveness and resilience at the service of the mission. - Engineering Interfaces. Robust and evolvable APIs and UIs that enable engineers to visualise passes, compare collection plans, plan tasks, and self-service their access to space. - Whatever the future brings. Multi-sensor coordination, processing pipeline integration, new collection strategies, and capabilities that will emerge from close collaboration with users. You will help define the direction, not just execute it. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering fundamentals. You design decoupled, maintainable, resilient, performant systems. You can reason about concurrency and how transactions work. You know about CAP and regularly make deliberate trade-offs between Consistency and Availability. You understand the difference between “At most once”, “At least once” and how to design systems around those guarantees. - Fluency with AI-assisted engineering. You treat AI as a standard part of your toolkit, not a novelty or a threat. You use it across the whole of your work (design exploration, code, tests, documentation, debugging, reviewing unfamiliar codebases) and you have a feel for where it accelerates you and where it quietly costs you time. Crucially, you stay accountable for the output: you know how to prompt and scope a task well, how to verify what comes back, and how to keep the guarantees that production demands. You are curious about improving the way you and your team work with these tools, and you help others get better at it. - Production experience. You have designed, built, and operated services in production: REST APIs, relational databases, and asynchronous workers. You know how to make your systems observable and resilient. You understand what production demands beyond making things work locally. - Fast learner in technical domains. This role involves orbital mechanics, RF physics, and geospatial data. You don’t need to come in knowing these — but you do need to be the kind of engineer who can pick up a new domain quickly, ask sharp questions, and start contributing before you’ve mastered every detail. - Ability to work from ambiguity. You can take a loosely defined operational need (e.g. “we need users to de-conflict between competing collection plans”) and turn it into concrete engineering work. You ask the right questions, make well-reasoned decisions, and adjust when new information arrives. - Effective communication across domains. You will work alongside people who think in many different ways and work in different contexts. You can listen carefully, ask precise questions, and articulate technical tradeoffs in terms that everybody can understand, and adjust to your audience accordingly. Nice to haves: - Event-driven architecture. Experience with NATS, Kafka, SQS, or similar. Understanding of at-least-once delivery, idempotency, and the practical tradeoffs of asynchronous service communication. - Modern frontend engineering. Production experience with Next.js, React, and TypeScript, particularly for data-intensive or real-time visualisation applications. Experience with CesiumJS or deck.gl http://deck.gl is a strong plus. - Proficiency with AI development tools. You actively use AI assistants (Cursor, Copilot, Claude, ChatGPT, or similar) in your daily engineering work. Not tentatively, but as a primary tool for writing, reviewing, and iterating on code. You understand their strengths and limitations, and you use them to move faster without sacrificing quality. - Orbital mechanics background. Experience with TLEs, SGP4 propagation, pass prediction, incidence and squint geometry, and access window computation. Familiarity with tools like Skyfield, GMAT, or STK. This is valuable but learnable on the job. - Geospatial engineering. GeoJSON, CZML, WGS84, map projections, coverage polygons, and ground footprints. Experience building systems that process and render geospatial data. - Space, defence, or intelligence sector experience. You have worked in an environment where users depend on the software you build, where the physics constrains what is possible, and where the quality of your work has direct operational consequences. You understand what a tasking workflow looks like from a user perspective. APPLICATION PROCESS • TA Partner Screen Call • Hiring Manager Interview • Technical Interview • Values & Fit Interview • SVP of Engineering Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Berlin ROLE HIGHLIGHTS: - IT Onsite Support Specialist - Location: Berlin - Department: IT - Reports to: CEO of ICEYE Germany - Employment type: Permanent - Workplace model: Onsite - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   Serving as an IT On-Site Support specialist, you will deliver direct, hands-on assistance to keep local team operations running smoothly. Working alongside a global IT team, you will manage local and global requests and route complex escalations to the appropriate team members.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Provide responsive, friendly first-line desktop and hands-on IT support for local and global staff across macOS, Windows, and Linux workstations. - Manage local mobile phone subscriptions. - Set up, deploy, and physically maintain laptops, docking stations, monitors, printers, and meeting room AV equipment. - Support basic day-to-day hardware maintenance, workstation setups, and physical network patching on the manufacturing floor. - Assist with user onboarding and offboarding by imaging laptops and provisioning standard accounts using checklists. - Triage, resolve, and document local support tickets within Jira Service Management, escalating complex network or infrastructure issues to senior specialists. - Maintain accurate local hardware inventory, track asset movement, and help keep site IT documentation up to date.       WHAT WE’RE LOOKING FOR Must haves: - 2+ years of practical IT support, desktop support, or service desk experience (or a completed vocational qualification / degree in IT or a related field). - Foundational troubleshooting skills across Windows and macOS, with basic comfort or strong curiosity to learn Linux fundamentals. - Practical experience assembling, cabling, and configuring desktop peripherals, monitors, and conference room tech. - Basic understanding of core networking concepts (TCP/IP, DHCP, DNS, Wi-Fi connectivity, and physical cable patching). - Working familiarity with cloud productivity suites such as Google Workspace or Microsoft 365. - Clear verbal and written English and German communication skills with a customer-focused, helpful attitude.   Nice to haves: - Initial exposure to ticketing platforms like Jira Service Management. - Basic understanding of identity and access concepts (such as Okta or Active Directory). - Familiarity with or curiosity about manufacturing, lab, or cleanroom environments. - Basic knowledge of MDM tools such as Jamf or Omnissa Workspace ONE.   APPLICATION PROCESS - TA Screen (30 mins) - Technical Interview with Team (45 - 60 mins) - Interview with Country Manager (45 mins) WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.