Вакансии

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Senior Engineering Manager , Twilio’s Segment team. About the job As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment. Champion team growth and success, prioritizing mentorship and individual development. Architect and operate always-available, complex distributed systems in cloud environments. Guide technical decisions, articulating trade-offs between cost, performance, and reliability. Advocate for agile processes, continuous integration, and robust automation. Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 14+ years of engineering experience with a 5+ year proven track record managing software teams. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Proven experience managing multiple workstreams within the team. Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms. Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture. Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec). Excellent communication, problem-solving, and operational excellence skills. Desired: Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges. Expert programming experience in Go or similar object-oriented languages. Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes). Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus). Familiarity with AI/ML technologies. Experience managing and operating AWS infrastructure Experience working in a geographically distributed team. Location This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United States + International (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 Senior Program Officers are the leaders of GiveWell's grantmaking. In this role, you'll take primary responsibility for a significant grantmaking portfolio, setting its strategy and sifting through the many opportunities we could fund to focus on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees. You'll also communicate externally about our work and mentor and advise other members of the team. You will build and lead a grantmaking portfolio that brings rigor and creativity to GiveWell's hardest funding problems. You'll combine rigorous review of empirical evidence, cost-effectiveness modeling, strong grantee relationships, ground-truthing of how programs are actually delivered, discussions with subject matter experts, understanding of the broader context, and your own judgment to decide what to fund, how to structure it, and when to build something new. In the course of your work, you might approach questions like these: How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today? When the best opportunity doesn't exist yet, how do we create it, whether through co-design, seeding an implementer, or shaping broader incentives? What is the best direction for our portfolio, and are we correctly prioritizing the programs and grantees we fund? Where are the highest-impact opportunities to expand the portfolio while improving its cost-effectiveness? How can we triangulate empirical evidence against expert opinion and other qualitative features, like a grantee's organizational track record? Do a grantee's reported outputs reflect real coverage, quality, and adherence to evidence-based practices on the ground? What research can we fund today that could substantially improve our grantmaking five years from now? How much uncertainty are we willing to accept before making a grant, and which questions do we need to answer first? Senior Program Officers work closely with Senior Researchers , an equivalently-leveled, parallel role on our team. Senior Researchers typically set the research agenda for grantmaking areas and tackle the thorniest, most open-ended questions we face, while Senior Program Officers own the grant and portfolio decisions — deciding what we fund and why, and incorporating Senior Researchers' analysis into their decisionmaking. Senior Program Officers have a research mindset, too: they're comfortable digging into a cost-effectiveness model and forming their own view of the evidence. Team structure Our research department is currently organized into eight teams: Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. New Senior Program Officers typically begin on our Cross-Cutting team, where they complete a structured onboarding program with one-on-one feedback on core GiveWell skills like evidence review, cost-effectiveness analysis, and clear research writing. Onboarding usually lasts one to two months. We generally decide which team a new hire will join by the end of onboarding. Most move onto one of our grantmaking teams (for example, Malaria, Nutrition, Vaccines, or New Areas), and some stay on Cross-Cutting. Placement is based mainly on the research team's needs. In most cases, we won't know at the time of the offer which team someone will join, but if a candidate brings specialized expertise, we may settle on a team sooner. Once placed, team members usually stay on that team long-term. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you The strongest candidates typically have at least 5-10 years of professional experience, a significant portion of which was in similar or closely-related roles. Many of our senior staff have quantitatively-oriented advanced degrees, but there’s no hard academic requirement — what matters to us is that you’ve used empirical tools to make rigorous, evidence-based decisions under uncertainty, whether you’ve done that in graduate training or hands-on experience. In addition to relevant experience with the responsibilities listed above, we'll be interested in people with strong track records in any of the following areas: Funding, building or scaling new programs, initiatives, or organizations. Using rigorous quantitative analysis and cost-effectiveness modeling to support decisionmaking Building relationships with diverse stakeholders (you'll work with other funders, research organizations, NGOs, and more, so it will be important for you to have strong skill in this area) Owning large budgets and/or grant portfolios Excellent written and verbal communication, with an emphasis on directness and clarity Setting and iterating on strategy in complex, fast moving environments It’s a plus, but not required, if you have experience: Engaging with global health, development, or related fields Reviewing randomized controlled trials and impact evaluations Working with governments or multilateral organizations Gathering first-hand data to inform program design Managing a variety of grant types, including advocacy and market-shaping initiatives You can review our staff bios here for more practical insight on the backgrounds and experience of our current team. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You get things done, and you'll drop what you're doing when something matters more. You drive work to conclusions efficiently, and when the evidence shifts or a higher-value opportunity appears, you’re eager to pivot. You're entrepreneurial. When you see a gap, you want to fill it, whether that's designing a new program, finding an implementer, or setting up a new kind of funding mechanism. You make bets under uncertainty. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000. International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. 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 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) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. 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. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend annual department retreats and twice-annual whole org visit weeks to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting obligations. 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. Application deadline: We don't currently have an application deadline. If that changes, we'll update the posting. We're reviewing applications on a rolling basis, so we recommend applying as soon as possible. Miscellaneous details: Please note that our hiring process relies on some (not all) of the same work trials that we use in our Researcher and Senior Researcher roles (including team-specific Senior Researcher postings). If you applied to one of these roles within the last year, you should hold off on applying to others unless our team reaches out directly. If you're interested in multiple roles, please just apply once and note in your application that you'd like to be considered for the other roles, too. After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis. We aren’t interested in reviewing applications for contract or project-based work at this time. If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our website . You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all 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 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 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 recent 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: 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 We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer Develop measured boot implementations and runtime integrity monitoring Create reference architectures and security requirements for bare-metal deployments Integrate security controls with infrastructure teams without impacting training performance Prototype and validate security mechanisms before production deployment Conduct firmware vulnerability assessments and penetration testing Build firmware analysis pipelines for continuous security monitoring Document security architectures and maintain threat models Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) Strong understanding of cryptographic protocols and hardware security modules Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation Proficiency in low-level programming (C, Rust, Assembly) and systems programming Knowledge of firmware vulnerability assessment and threat modeling Track record of designing security architectures for complex, distributed systems Experience with supply chain security Ability to work effectively across hardware and software boundaries Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) Experience with confidential computing technologies and hardware-based TEEs Knowledge of SLSA framework and software supply chain security standards Experience securing large-scale HPC or cloud infrastructure Contributions to open-source security projects (coreboot, CHIPSEC, etc.) Background in formal verification or security proof techniques Experience with silicon root of trust implementations Experience working with building foundational technical designs, operational leadership, and vendor collaboration Previous work with AI/ML infrastructure security 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. 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: Bulgaria; Lithuania; Armenia; Romania; Estonia; Latvia; Hungary Workplace: Remote WHO ARE WE? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started. The Product Engineer Mindset We don’t hire people to implement specs. We hire people who can spot the right problem to solve, talk directly to product, design, data, and users to sharpen it, and ship the thinnest version that proves the bet, then iterate. If this is you, you probably: - Measure your work in outcomes, not output. A feature isn’t done when it merges; it’s done when the metric moves, or you’ve learned it won’t, and killed it. - Go to the source. You don’t wait for a perfect PRD. You sit with PMs, designers, marketers, and data, and sometimes users directly, to understand what’s actually being asked. - Own things end-to-end. From the first conversation about a problem through architecture, code, rollout, monitoring, and the follow-up experiment. You don’t hand work off at a boundary. - Have a strong bias to ship. Prototypes, A/B tests, feature flags, kill switches. You’d rather get something in front of users this week than a perfect plan in two months. - Treat AI as leverage, not a novelty. You use agentic workflows to compress the loop between idea and learning, for yourself and the team.   What You’ll Own This is an ownership role, not a feature factory seat. You’ll be on the hook for outcomes across the stack, not just the code in your area: - A cross-platform foundation, end to end. Mobile, web, BFF, and infrastructure layers, built and evolved with an AI-first, agentic development approach, and held to outcomes you helped define. - Scalable foundations for health & fitness apps. React Native and modern web technologies, designed so product teams can ship and experiment faster without rederiving the basics each time. - The discovery loop with stakeholders. Working directly with product, design, marketing, and data to translate business bets into running experiments, not just tickets in a backlog. - AI-agentic workflows across the SDLC. You’ll continuously improve how the team uses AI to raise productivity, code quality, and delivery speed, and prove the impact. - Shared platform capabilities. Internal tooling, CI/CD pipelines, and AI-assisted workflows that make every engineer at Welltech faster and the product better. - Native mobile and media experiences. Video playback, streaming, and HLS, owned from native integration through user-perceived quality. - Modular, reusable systems. Backend-driven UI, white-label capabilities, and the architectural choices that let one team’s work compound for the next. - Reliable integrations. Between frontend clients, BFF services, and platform infrastructure, with you on the hook for the health of the seams. - The engineering culture. Architecture discussions, code reviews or pairing when working on trunk based development workflows, documentation, and continuous improvement, leading by what you ship and how you ship it.   WHAT WE’RE LOOKING FOR Key responsibilities: - Build and evolve a cross-platform ecosystem covering mobile, web, BFF, and infrastructure layers using an AI-first, agentic development approach - Design scalable foundations for health & fitness applications powered by React Native and modern web technologies - Work directly with product, design, and marketing stakeholders to rapidly translate business needs into scalable technical solutions and experiments - Develop and continuously improve AI-agentic workflows across the full development lifecycle to increase team productivity, code quality, and delivery speed - Develop shared platform capabilities, internal tooling, CI/CD pipelines, and AI-assisted workflows that improve development speed and product quality - Work on native mobile integrations and advanced media experiences, including video playback, streaming, and HLS-based solutions - Contribute to modular architectures, reusable systems, backend-driven UI solutions, and white-label application capabilities - Build reliable and scalable integrations between frontend clients, BFF services, and platform infrastructure - Participate in architecture discussions, code reviews, documentation, and continuous improvement of engineering workflows   Required skills: - Strong commercial experience with React Native and modern TypeScript-based application development - Solid understanding of full-stack architecture including mobile, web, BFF, and cloud/infrastructure layers - Experience building scalable cross-platform systems and shared application foundations - Deep understanding of software architecture, modular systems, scalability, and performance optimization - Experience working with CI/CD pipelines, automation tooling, and modern developer workflows - Strong engineering mindset focused on maintainability, reliability, testability, and fast iteration - Comfortable working in AI-assisted or agentic development environments and adopting new AI-driven workflows quickly - Experience with backend-driven UI architectures   Nice to have: - Experience building white-label mobile applications or multi-brand ecosystems - Experience designing and implementing BFF (Backend for Frontend) services - Hands-on backend development experience with TypeScript (Node.js) - Experience building internal developer platforms, shared tooling, or scalable platform capabilities - Familiarity with OWASP mobile security best practices - Experience with engineering methodologies focused on rapid iteration and high developer productivity (Trunk Based Development, CI/CD mindset, TDD, BDD, XP, etc.) - Strong experience with native mobile integrations and media/video playback technologies - Hands-on experience with HLS streaming and native video player integrations on iOS and Android (AVPlayer, ExoPlayer, Chromecast, AirPlay)   Candidate journey: ⭕️ Recruiter call --> ⭕️ Meet a Hiring Manager--> ⭕️ Skills assessment-->Live coding   Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro

Location: Remote (GMT-8 to GMT+5). 3-4 hours overlap with US Central Time (Chicago/Texas) required. Not open to candidates from China, Australia, or similar time zones. Company Walter is developing open-source technology to advance computational biology through scalable workflow execution engines. What you will do — Contribute to the development of the Sprocket workflow execution engine and associated Rust crates (wdl, sprocket, crankshaft). — Improve and extend the Workflow Description Language (WDL) specification, shepherding changes through the ratification process. — Collaborate on the evolution of the Task Execution Schema (TES) with standards bodies and the open-source community. — Develop and maintain reference implementations with comprehensive OpenAPI/Swagger documentation. — Coordinate progress with the internal computational biology team. Requirements — 6+ years of senior-level proficiency in Rust with a track record of shipping production code. — Experience contributing to or leading open-source projects. — Familiarity with workflow engines, scientific computing, or large-scale computation. — Ability to work with Rust crates for lexing, parsing, validating, linting, and executing DSLs. — Strong skills in API design and specification development. — Proficiency with GitHub for project planning and collaboration. Nice to have — Experience improving specifications using OpenAPI (Swagger) or the utoipa crate. — Familiarity with Workflow Description Language (WDL) and Task Execution Schema (TES). — Experience with Kubernetes, cloud, or HPC environments. — Prior involvement with standards bodies such as GA4GH. Culture & Benefits — Full-time and long-term role commitment. — Opportunity to work on impactful, open-source technology used by scientists worldwide. — Ability to influence the direction of open standards in scientific workflow execution.

Location: Amsterdam, Netherlands; Limassol, Cyprus; London, United Kingdom JetBrains is a global software company that creates intelligent tools for software developers and teams. Since 2000, we’ve built products that help developers work more productively, write higher-quality code, and stay focused on solving real problems. We are looking for a senior, commercially minded Intellectual Property and Data Protection Lawyer to join our in-house Legal team. In this role, you’ll help shape and support JetBrains’ intellectual property and data protection strategy across multiple jurisdictions. The role combines deep expertise in intellectual property law, privacy and data protection compliance, technology transactions, and regulatory risk management. You’ll primarily support the Platform Project Office and its technology-driven products, strategic growth projects, and startup initiatives, with a particular focus on intellectual property structuring, data protection compliance, commercialization, and the scaling of innovative products and services throughout different stages of their life cycle. The ideal candidate will be a strategic legal advisor who can partner effectively with other functional and executive leadership teams to protect the group’s intellectual assets, ensure compliance with global privacy laws, and support innovation and growth. Key responsibilities Advise on all aspects of intellectual property law, including copyrights, trademarks, patents, trade secrets, domain names, licensing, and brand protection. Develop and maintain the group’s global IP strategy in line with business objectives. Provide legal support to the Platform Project Office, technology startups, and innovation initiatives within the group throughout their life cycle, including product development, commercialization, scaling of new business directions, strategic partnerships, operational expansion, and related technology platform matters. Draft, review, and negotiate IP-related agreements, including: ○ Licensing agreements. ○ SaaS and software agreements. ○ Technology transfer agreements. ○ NDAs and confidentiality agreements. ○ Development and collaboration agreements. ○ Open-source software policies and compliance documentation. Provide legal guidance on ownership and protection of company-created intellectual property. Monitor and advise on infringement risks, enforcement actions, disputes, and litigation matters. Conduct IP due diligence in strategic partnerships, investments, acquisitions, and commercial transactions. Advise on IP risks related to software development, AI tools, open-source software, and emerging technologies. Advise on IP ownership, protection, licensing, and data protection considerations for new products, technologies, platforms, AI solutions, and emerging business initiatives. Provide practical legal support for early-stage and scaling technology initiatives, including structuring of IP rights, technology transfers, setting up data governance frameworks, and conducting regulatory risk assessments. Lead the group’s privacy and data protection compliance program. Advise on compliance with applicable privacy laws and regulations, including: ○ GDPR. ○ UK GDPR. ○ ePrivacy requirements. ○ CCPA/CPRA. ○ International data transfer requirements. ○ Other global privacy frameworks, as applicable. Draft, review, and maintain privacy policies, notices, consent mechanisms, and internal governance documentation. Support and oversee data processing agreements (DPAs), standard contractual clauses (SCCs), and vendor privacy assessments. Conduct and advise on: ○ DPIAs. ○ Legitimate interest assessments. ○ Data mapping exercises. ○ Records of processing activities. Partner with internal teams on privacy and security governance matters, including support in relation to data protection risk assessment, preparedness, and response processes where required. Advise on privacy-by-design principles for products, systems, and commercial initiatives. Monitor regulatory developments and provide practical implementation guidance. Support audits, regulatory inquiries, investigations, and compliance reporting. Provide practical, risk-based legal advice to internal stakeholders. Support complex commercial and technology transactions. Collaborate with external counsel and regulatory authorities where necessary. Contribute to legal operations, policy development, and governance initiatives. Assist in building scalable legal frameworks to support international growth. What we're looking for Qualifications as a solicitor in England and Wales, or an equivalent European jurisdiction. At least 8–12 years PQE in IP, technology, and data protection law, gained in-house or at a leading technology/IP practice, or both. Strong experience advising software, SaaS, or digital product businesses. Solid knowledge of UK and EU IP law and GDPR frameworks. Proven experience negotiating complex commercial technology agreements. Experience managing cross-border legal and regulatory matters. Excellent drafting, negotiation, analytical, and stakeholder management skills. The ability to balance legal risk with commercial objectives. Strong project management and organizational skills. Excellent written and verbal communication skills in English. Preferred Experience with AI, cloud computing, open-source software, or platform businesses. Familiarity with AI governance and emerging technology regulations, such as the EU AI Act, Data Act, Digital Services Act, and NIS2 Directive. Experience acting as or supporting a data protection officer (DPO). Experience supporting technology startups, venture initiatives, or innovation-driven business units, particularly in relation to IP strategy, commercialization, and privacy/data governance. Additional language skills. Who you are Commercially pragmatic – you advise the business, not just protect it. Confident in drafting and negotiating agreements. Comfortable working independently with senior and C-suite stakeholders. Calm, organized, and effective in a fast-paced technology environment. Sharp, analytical, and able to think critically. Diligent, self-reliant, and good at managing priorities. Open, transparent, and committed to acting with integrity within your team and the group as a whole. What we offer The opportunity to work on complex international legal and regulatory matters. Exposure to innovative technologies and high-growth business initiatives. A collaborative and dynamic working environment. Competitive compensation and benefits. Remote work and flexible schedules. Professional development and career growth opportunities. JetBrains is an equal opportunity employer committed to creating an inclusive and diverse workplace. We welcome applications from all qualified candidates regardless of race, gender, age, disability, religion, sexual orientation, or any other protected characteristics. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. #LI-HYBRID #LI-EY1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Founder's Associate(Operations & Growth)/Executive Assistant to CEO to join as a team member and help to build startup foundations of a next-generation AI-powered security risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a motivated, dynamic and hands-on Founder's Associate(Operations & Growth)/Executive Assistant to CEO for a hybrid role based in central of Berlin, Potzdamer Platz. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building processes from the ground up, this is an opportunity to make a real impact. We are seeking a Founder's Associate(Operations & Growth)/Executive Assistant to CEO to support our CEO with finance, general operations, travel, PR, and sales activities. The ideal candidate is energetic, smart, and able to thrive under pressure while managing multiple tasks effectively. The position is hybrid and can be done full time or part time. We can accept also entry level candidates without experience if the culture fit is right. Key Responsibilities Act as the primary operational founder associate to the Founder & CEO and grow the company together Own and help running day-to-day company operations across HR, finance, admin, and internal processes Own financial reporting, planning, and key metrics, ensuring transparency, clarity, and reliability Take ownership of company wide projects such as developing an AI pricing model or leading expansion into the next three countries Assist the founders with strategic topics , including investor relations, board preparation, and key hiring decisions. Take care of administrative work like manage CEO calendar, priorities, meetings, business travel and follow-ups to maximize focus and execution Support HR, including hiring logistics, onboarding, offboarding, and people administration Support Finance, includinginvoicing, expense tracking, payments, and coordination with external accountants Support PR , communications, social accounts and external coordination (partners, vendors, events, announcements) Support Sales , Prepare internal documents, reports, presentations , and ad-hoc materials for management and stakeholders Ensure operational hygiene, deadlines, and compliance across the company Must have skills 2+ years of experience in startup doing one of the following: HR, finance, operations, PR, Sales, business support, or executive assistance roles. We can accept also entry level candidates without experience if the culture fit is right. Strong organizational skills and can do Attitude with the ability to manage multiple priorities independently Excellent written and verbal communication skills in English Excellent written and verbal communication skills in German High level of discretion, trustworthiness , and attention to detail Strong execution mindset and ability to operate under ambiguity Comfortable working directly with founders and senior stakeholders Ability to build things from scratch at early stage startup High ownership mentality, startup mindset, and ability to move quickly. Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality . Strong problem-solving skills and ability to work in a collaborative environment. Experience with social media management . Familiarity with German employment basics or EU labor processes Comfortable working under direct supervision and ready to engage in business discussions when needed. Nice-to-have requirements Experience supporting a CEO or senior executive in a fast-paced environment Experience in early-stage startups founder-led companies Exposure to PR, communications, or employer branding activities Design skills and knowledge in design tools Proficiency in at least one additional language, ideally Russian or Hebrew Background in analytics Background in sales Public speaking experience and confidence presenting to audiences You are a fan of rock or metal music Benefits Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Fresh Funding Secured — immediate runway to build, hire, and execute fast High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in various operational topics Fast Career Path — opportunity evolve into leadership as we scale the team including Chief of Staff position Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your impact become the foundation of the entire company Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap , balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews , pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring , onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency , reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: United States; United Kingdom; Canada; Germany; Australia; Singapore Job Type: Full-time Location: Remote Work Schedule: Overlap with UK, US, or Canada business hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across the UK, United States, Canada, Europe, and Australia. Our clients include venture-backed startups, SaaS platforms, AI companies, FinTech businesses, and enterprise technology firms scaling modern cloud infrastructure globally. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international companies as long-term in-house team members, contributing to mission-critical engineering initiatives. Job Summary We are hiring an experienced Senior DevOps Engineer to support fast-growing international companies building scalable cloud-native platforms and enterprise infrastructure. This role is ideal for engineers with deep expertise in Kubernetes, CI/CD automation, cloud infrastructure, and platform reliability who enjoy working in high-performance remote engineering teams serving North American and UK markets. You will help architect infrastructure, improve deployment velocity, optimize reliability, and support highly available production environments across modern SaaS and cloud platforms. Key Responsibilities Design and manage scalable, secure, and highly available cloud infrastructure. Build and optimize CI/CD pipelines for reliable software delivery. Manage Kubernetes environments and container orchestration systems. Implement Infrastructure-as-Code solutions using Terraform or similar tools. Improve platform observability, monitoring, and incident response processes. Collaborate with engineering teams on release automation and deployment workflows. Troubleshoot production infrastructure and application performance issues. Support cloud security, compliance, backup, and disaster recovery initiatives. Contribute to platform scalability, reliability, and cost optimization efforts. Mentor junior engineers and promote DevOps best practices across teams. Requirements 5+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering roles. Strong experience with Linux systems and cloud environments. Hands-on experience with Docker, Kubernetes, and CI/CD tools. Experience with Terraform, GitHub Actions, Jenkins, GitLab CI/CD, or similar platforms. Familiarity with AWS, Azure, or Google Cloud Platform. Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or ELK Stack. Scripting or programming experience using Python, Bash, Go, or JavaScript. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. Nice to Have Experience with ArgoCD and GitOps workflows. Knowledge of networking, security, and distributed systems. Cloud certifications (AWS, Azure, Kubernetes, Terraform). Experience supporting SaaS or enterprise applications. Open-source contributions or technical blogging experience. Benefits 💰 Competitive salary based on experience and technical expertise. 🌍 Fully remote role with international opportunities. 🚀 Work with modern cloud-native technologies and high-growth companies. 📈 Long-term career growth opportunities in DevOps and platform engineering. 🛠 Exposure to enterprise-scale infrastructure and automation projects. 🤝 Collaborative engineering culture with flexible remote work environment.

Location: Poland; Romania; Bulgaria; Georgia; Serbia; Ukraine Job Type: Full-time Location: Remote Work Schedule: Flexible Hours with overlap for UK/UAE/US teams About Huzzle At Huzzle, we connect exceptional global talent with leading companies across the UK, US, Europe, Canada, and the Middle East. Our clients range from fast-growing startups to enterprise technology companies operating in SaaS, AI, FinTech, cybersecurity, and cloud infrastructure. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international clients as long-term, in-house team members contributing to mission-critical projects and infrastructure. Job Summary We are seeking an experienced Senior DevOps Engineer to lead infrastructure automation, cloud platform reliability, and deployment scalability initiatives for international technology companies. This role is ideal for someone with deep expertise in Kubernetes, cloud infrastructure, CI/CD automation, and platform engineering who thrives in fast-paced engineering environments and enjoys solving complex infrastructure challenges at scale. You will collaborate closely with software engineers, security teams, and product stakeholders to improve deployment workflows, optimize infrastructure performance, and maintain highly available cloud-native systems. Key Responsibilities Architect, implement, and maintain scalable cloud infrastructure environments. Design and optimize CI/CD pipelines for high-frequency deployments. Manage Kubernetes clusters and container orchestration environments. Build Infrastructure-as-Code solutions using Terraform and automation best practices. Improve platform reliability, scalability, and system observability. Monitor production systems using Prometheus, Grafana, ELK Stack, or similar tools. Implement security, backup, and disaster recovery best practices. Troubleshoot infrastructure, networking, and deployment issues across environments. Collaborate with engineering teams on release management and platform optimization. Mentor junior engineers and contribute to DevOps best practices across the organization. Requirements 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure roles. Strong hands-on experience with Kubernetes, Docker, Linux, and cloud-native technologies. Experience with AWS, Azure, or Google Cloud Platform. Strong expertise in Terraform and Infrastructure-as-Code methodologies. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or ArgoCD. Strong scripting or programming experience using Python, Go, Bash, or JavaScript. Knowledge of networking, security, distributed systems, and cloud architecture principles. Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or ELK Stack. Excellent communication skills and ability to work independently in remote environments. Nice to Have Experience with GitOps workflows and ArgoCD. Exposure to AI infrastructure or large-scale distributed systems. Experience supporting enterprise SaaS platforms. Certifications in AWS, Azure, Kubernetes, or Terraform. Open-source contributions or technical blogging experience. Benefits Competitive salary based on experience and technical expertise. Fully remote opportunity with global engineering teams. Work on modern cloud-native infrastructure and large-scale systems. Long-term career progression opportunities into Lead or Principal Engineering roles. Access to cutting-edge DevOps, Kubernetes, and automation technologies. Collaborative engineering culture with high-impact technical ownership. Flexible work environment focused on autonomy and performance.

Location: South Africa; Philippines; Egypt; India; Pakistan; Vietnam Job Type: Full-time Location: Remote Work Schedule: Flexible or Overlapping US/UK Hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across SaaS, FinTech, AI, MarTech, and enterprise technology industries. Our clients are scaling rapidly and looking for experienced technical professionals who can make an immediate impact. Job Summary We are seeking an experienced Senior DevOps Engineer to lead cloud infrastructure initiatives, improve deployment automation, and support highly available production systems. This role is ideal for engineers who enjoy solving complex infrastructure challenges, implementing DevOps best practices, and driving platform scalability. You will work cross-functionally with software engineers, security teams, and product stakeholders to build reliable, secure, and scalable infrastructure environments. Key Responsibilities Architect and manage scalable cloud infrastructure environments. Lead CI/CD automation and deployment optimization initiatives. Implement Kubernetes orchestration and container management solutions. Develop Infrastructure-as-Code solutions using Terraform or similar tools. Improve observability, monitoring, and incident response workflows. Support system security, scalability, and disaster recovery planning. Mentor junior engineers and contribute to DevOps best practices. Collaborate with cross-functional teams on infrastructure and release planning. Requirements 4+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. Deep expertise in Kubernetes, Docker, Linux, and cloud-native technologies. Strong experience with AWS, Azure, or GCP environments. Hands-on experience with Terraform, GitHub Actions, Jenkins, or ArgoCD. Knowledge of networking, security, and distributed systems. Strong scripting or programming skills using Python, Go, or Bash. Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack. Excellent communication and leadership skills. Benefits 💰 Highly competitive compensation package. 🌍 Fully remote or hybrid flexibility. 🚀 Opportunity to work on enterprise-scale cloud infrastructure. 📈 Career progression into Lead DevOps or Platform Engineering roles. 🛠 Access to cutting-edge DevOps and cloud technologies. 🤝 Collaborative global engineering teams and modern development culture.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary As a Business Development Representative, you will be the engine of our growth strategy, serving as the first point of contact for prospective clients in the fast-paced SaaS landscape. This role is designed for a high-energy hunter who understands the nuances of technology sales and is eager to bridge the gap between initial interest and qualified opportunity. You will work closely with the leadership and sales teams to identify key decision-makers, articulate our value proposition, and build a robust pipeline that secures the team's long-term market presence. Job Type Full-time Key Responsibilities Conduct proactive outbound outreach via cold calling, personalized emailing, and social selling to generate high-quality leads. Qualify inbound inquiries and assess prospect needs to determine alignment with our solutions. Research target accounts and industry trends to develop tailored messaging for various personas. Manage a consistent pipeline of activities within the CRM to ensure no lead falls through the cracks. Collaborate with Account Executives to schedule discovery calls and seamless handoffs. Exceed monthly and quarterly targets for qualified meetings and pipeline contribution. Requirements At least 2 years of professional experience specifically within SaaS or Tech sales. Proven track record of meeting or exceeding outbound prospecting quotas. Deep understanding of the SaaS business model and the ability to explain complex technical concepts simply. Strong command of CRM tools and sales engagement platforms. Exceptional written and verbal communication skills with a focus on active listening. Resilience, coachability, and a competitive drive to succeed in a high-growth environment. Nice-to-Haves Experience in a startup environment or at a high-growth scale-up. Familiarity with specific sales methodologies (e.g., MEDDICC, Challenger, or SPIN). A strong professional network within the tech industry. Benefits 💰 Competitive salary 🌎 Fully remote work environment 🚀 Career growth opportunities 📈 Long-term stability 🎯 Performance-based incentives 🧪 Hands-on training and professional development

About Mistral: At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore. Role Summary: Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions. Responsibilities: — Define and evangelize product strategy for Forge aligned with company goals and market opportunities — Lead market and UX research to identify unmet needs and trends in AI post-training capabilities — Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience — Collaborate with design and research to create intuitive, impactful user experiences using data and feedback — Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption — Align engineering, design, and business teams on priorities, trade-offs, and timelines — Maintain a dynamic roadmap delivering quick wins and long-term goals Requirements: — 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions — Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures — Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving — Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud) — Familiarity with Kubernetes/Slurm is a strong plus — User-focused with data-driven problem solving — Proven cross-functional influence without direct authority — Strong communication skills to explain complex technical concepts clearly — Adaptability to dynamic priorities — Collaborative, low ego, high emotional intelligence — Self-directed with ownership of outcomes Preferred: — Strong knowledge of model training and architectures — Proficient coding skills recommended — Kubernetes expertise recommended — Experience with product-led growth strategies — Founder or early-stage PM experience — Ability to prototype or dive into code Location & Work Format: — Based in Paris, France or London, UK offices — Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy — Encouraged to work in office at least 3 days per week Conditions: — Competitive salary and equity (stock options) — Health insurance — Transportation allowance — Sport allowance — Meal vouchers — Private pension plan — Generous parental leave — Visa sponsorship

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Marketing team shapes how the world sees and experiences Attio. We think strategically, move fast, and obsess over quality — from acquisition to brand to product marketing. We experiment constantly, craft clear narratives, and focus relentlessly on what drives growth. We're hiring a Senior/Lead Product Marketing Manager to join a small team with outsized impact. Attio is defining the future of go-to-market. PMM delivers the message to the world. You'll shape how Attio shows up to our core audiences, from early-stage founders to the operators running today's category leaders. The work spans customer storytelling, product launches, and sales enablement, three levers that take a great product and turn it into a market-defining one. You'll work directly with our founders, EPD, Sales, and Marketing. If you're looking for a builder role that owns meaningful outcomes for customers, we'd love to meet you.   WHAT YOU'LL DO - Lead product launches end-to-end. Own positioning, messaging, and GTM strategy for new products and features. Ship launches that land with customers and move the business. - Develop product-focused content. Build the pages and posts on attio.com http://attio.com that bring our product story to life, and partner with Support to give customers the education they need to get the most out of Attio. - Bring customer stories to life. Create a steady library across the audiences that matter most, in whatever format the story deserves: case studies, video, web, social, or something we haven't tried yet. - Arm Revenue to win deals. Build the training, collateral, and enablement that helps Sales close new business and Success grow existing accounts. - Partner with EPD. Translate what we build into clear customer outcomes, and bring market signal back into how we build it. - Champion the customer. Be the in-house expert on who we sell to, why they buy, and what they need next. - Sharpen our competitive edge. Know the market cold: where Attio wins against legacy CRMs, where the new wave of challengers is going, and where the openings sit for our product and positioning.   WHAT YOU’LL BRING - 6+ years of relevant experience in product marketing. - You're a great writer. Whether it's positioning, web copy, a script, or a case study, you make every word count. - You have great taste. Even if you're not a designer by trade, you know what great looks like and can articulate a vision to produce beautiful work. - A bias for speed. You own projects from start to finish and move fast with teams to deliver high-quality results. - Builder mindset. You'll join a small but mighty team at Attio. You'll define playbooks, not inherit them. - Fluent in AI. We expect you to know how to use AI to work smarter and ship better. You’ll stand out if you have: - Produced beautiful work across a variety of formats, especially video and web - Prior experience at a design-led company WHAT WE OFFER - A competitive range of $145,000-$240,000 (leveling to be determined during interview process) - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Medical, dental, and vision coverage through Sequoia One - 401K - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) WHAT DOES THE HIRING PROCESS LOOK LIKE? Initial conversations - 30-minute intro with a member of our Talent team - 30-minute track record interview with our Head of Product Marketing Core interviews - Case study session with our Head of Product Marketing and Product Marketing Manager - A set of working sessions exploring your approach to cross-functional relationships, marketing taste, and values alignment Final stage - 30-minute closing conversation with a member of our leadership team - Offer call (if it’s a mutual fit)

Location: New York Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Marketing team shapes how the world sees and experiences Attio. We think strategically, move fast, and obsess over quality — from acquisition to brand to product marketing. We experiment constantly, craft clear narratives, and focus relentlessly on what drives growth. We're hiring a Senior/Lead Product Marketing Manager to join a small team with outsized impact. Attio is defining the future of go-to-market. PMM delivers the message to the world. You'll shape how Attio shows up to our core audiences, from early-stage founders to the operators running today's category leaders. The work spans customer storytelling, product launches, and sales enablement, three levers that take a great product and turn it into a market-defining one. You'll work directly with our founders, EPD, Sales, and Marketing. If you're looking for a builder role that owns meaningful outcomes for customers, we'd love to meet you.   WHAT YOU'LL DO - Lead product launches end-to-end. Own positioning, messaging, and GTM strategy for new products and features. Ship launches that land with customers and move the business. - Develop product-focused content. Build the pages and posts on attio.com http://attio.com that bring our product story to life, and partner with Support to give customers the education they need to get the most out of Attio. - Bring customer stories to life. Create a steady library across the audiences that matter most, in whatever format the story deserves: case studies, video, web, social, or something we haven't tried yet. - Arm Revenue to win deals. Build the training, collateral, and enablement that helps Sales close new business and Success grow existing accounts. - Partner with EPD. Translate what we build into clear customer outcomes, and bring market signal back into how we build it. - Champion the customer. Be the in-house expert on who we sell to, why they buy, and what they need next. - Sharpen our competitive edge. Know the market cold: where Attio wins against legacy CRMs, where the new wave of challengers is going, and where the openings sit for our product and positioning.   WHAT YOU’LL BRING - 6+ years of relevant experience in product marketing. - You're a great writer. Whether it's positioning, web copy, a script, or a case study, you make every word count. - You have great taste. Even if you're not a designer by trade, you know what great looks like and can articulate a vision to produce beautiful work. - A bias for speed. You own projects from start to finish and move fast with teams to deliver high-quality results. - Builder mindset. You'll join a small but mighty team at Attio. You'll define playbooks, not inherit them. - Fluent in AI. We expect you to know how to use AI to work smarter and ship better. You’ll stand out if you have: - Produced beautiful work across a variety of formats, especially video and web - Prior experience at a design-led company WHAT WE OFFER - A competitive range of $145,000-$240,000 (leveling to be determined during interview process) - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Medical, dental, and vision coverage through Sequoia One - 401K - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) WHAT DOES THE HIRING PROCESS LOOK LIKE? Initial conversations - 30-minute intro with a member of our Talent team - 30-minute track record interview with our Head of Product Marketing Core interviews - Case study session with our Head of Product Marketing and Product Marketing Manager - A set of working sessions exploring your approach to cross-functional relationships, marketing taste, and values alignment Final stage - 30-minute closing conversation with a member of our leadership team - Offer call (if it’s a mutual fit)

Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week). Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery. What you will do: — Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems. — Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems. — Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance. — Implement observability, monitoring, and cost visibility for LLM and agent workloads. — Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem. — Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale. Requirements: — Proven experience shipping LLM-powered systems or AI agents into production. — 4+ years of experience in production machine learning infrastructure, specifically involving LLMs. — Strong programming skills in Python with experience building scalable backend services. — Experience with Cloud platforms, ideally AWS or GCP. — Strong communication skills and ability to work collaboratively in cross-functional teams. Nice to have: — Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow. — Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex. — Experience with ML frameworks such as Hugging Face or PyTorch. Culture & Benefits: — Hybrid working model with 2 days a week in the Berlin campus. — 27 days of holiday, increasing with years of service. — €1,000 Educational Budget, language courses, and access to Udemy Business. — Health checkups, meditation, and gym/bicycle subsidies. — Employee Share Purchase Plan, corporate pension plan, and life/accident insurance. — Relocation support and dedicated relocation hub for moving to Berlin.

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 Anthropic's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.