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Location: Hybrid - San Francisco, New York City, London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Governance, Risk and Compliance (GRC) Analyst who wants to build GRC with AI, and you do not need to be an engineer to do it. We encourage and equip you to use AI tooling to build automations for audit evidence and customer security questionnaires, alongside assessing AI tools and vendors and managing audits. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do Assess AI tools and vendors against security, privacy, and compliance requirements, and run company compliance and ethics training Maintain the internal controls behind ISO 27001, System and Organization Controls 2 (SOC 2), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) compliance, and drive remediation to completion with documented progress Use AI tooling to build automations that collect audit evidence, monitor controls, and draft security questionnaire responses, and report on controls maturity scores Manage annual audit deliverables, write treatment plans, and track completion across teams Answer customer compliance inquiries and maintain customer-facing security and compliance documentation What you need 3+ years supporting the audit lifecycle for SOC 2, ISO 27001, PCI DSS, or HIPAA in a cloud-based environment Applied security or privacy controls to AI systems or AI vendors, such as model access, data handling, or third-party risk review Built security policies and technical controls into the software development lifecycle (SDLC) with engineering partners Led compliance projects across multiple business units and seniority levels Bonus if you Built an automation or internal tool, with code or AI coding tools, even outside an engineering role Worked with AI governance frameworks such as ISO/IEC 42001 or the National Institute of Standards and Technology (NIST) AI Risk Management Framework Hold a Certified Information Security Manager (CISM), Certified Information Systems Security Professional (CISSP), or Certified Compliance & Ethics Professional (CCEP) certification Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $134,000-$202,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment Have strong proficiency in Python, Rust and/or Go Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes Have experience with container orchestration and infrastructure at scale Have excellent communication skills and enjoy supporting internal partners to improve their development experience Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house) Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules) Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com Mattermost is hiring a GRC Manager to own and modernize our governance, risk, and compliance program across both federal and commercial markets. This is a program-ownership role for someone who brings a modern, engineering-led approach to compliance — harnessing GRC engineering and AI to reduce manual effort and scale our programs. You will own Mattermost's compliance posture end to end, accountable for our federal readiness and commercial certifications, and you will modernize how we run them: automated, continuously monitored, and AI-native. You will do the hands-on compliance work while coordinating across internal stakeholders in engineering, infrastructure, and IT who implement controls, the external auditors who assess them, and the customers whose trust rests on the outcome. As the program scales, you will grow and lead the team behind it. What You'll Do Own and modernize Mattermost's compliance programs across federal and commercial markets Lead readiness, certification, and surveillance cycles across both programs Operate the risk management program end to end — from identification and assessment through treatment and acceptance Own the third-party and vendor risk management program, including security assessments and supply chain risk Apply GRC engineering and automation to replace manual evidence collection with continuous controls monitoring Build AI-native workflows to accelerate and improve the quality of recurring compliance work Maintain the control library, system security plans, POA&Ms, and policies Coordinate external audits from scoping through remediation Accelerate deal cycles by owning customer security questionnaires, trust center content, and reusable compliance artifacts Grow and lead the GRC team as the program scales What We're Looking For Bachelor's degree in computer science, information security, or related field — or significant professional GRC and compliance experience Proven senior-level experience in governance, risk, and compliance, security compliance, or IT audit, including direct ownership of a certification or authorization program Experience with U.S. Federal standards including CMMC and NIST series (800-171 / 800-53) Experience with ISO 27001 and SOC 2 Type II Experience operating a formal risk management program Experience running a third-party and vendor risk management program Experience owning customer-facing security assurance, including security questionnaires and trust center content Working knowledge of security controls for cloud environments (AWS, GCP, and/or Azure) Excellent written and verbal communication skills Nice to Have Professional GRC certifications such as CISA, CRISC, CISM, CISSP, or CIPP Experience working with AI platforms such as Claude, OpenAI, or Gemini Experience with compliance automation tooling such as Vanta or Drata, and continuous controls monitoring Direct experience applying AI or LLM-based workflows to GRC tasks Proficiency in no-code automation or scripting languages Past success in critical infrastructure industries including defense, cybersecurity, communications, or manufacturing How Success Is Measured CMMC Level 2 gap assessment and readiness roadmap delivered within first 90 days SOC 2 Type II and ISO 27001 audit cycles completed on time without slippage Manual evidence collection replaced with automated, continuously monitored controls Customer security questionnaires and trust center content maintained to unblock deal cycles GRC team grown and operating as a scalable, program-driven function Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration AI-forward environment: We actively adopt and build AI-enabled workflows — you'll work with and on cutting-edge tooling Unique scope: Own the compliance program end to end across both federal and commercial markets at a high-growth Series B company Target Salary Range: $139,254-$168,318 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role requires U.S. citizenship. Candidates must be located in the United States and eligible to obtain and maintain a U.S. government security clearance. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers and businesses to grow, discover, and create. IntelliJ IDEA revolutionized the Java development tool market back in 2001, becoming the first IDE to offer automated code refactoring. It continues to drive innovation in software development, making thousands of programmers more productive every day. In addition to Java, IntelliJ IDEA includes various development tools for other prominent languages such as Ruby, Groovy, Scala, Python, JavaScript, Objective-C, PHP, and Kotlin. We're now looking for a QA Automation Engineer to join the IntelliJ IDEA Java Build Tools QA team and help ensure the quality of a product that our customers and software engineers around the world rely on daily. Since most Java projects in IntelliJ IDEA are built with Maven or Gradle, Java Build Tools is a critical part of the IDE experience, and your work will affect how smoothly our users can open, sync, build, and run their projects. You'll work alongside QA engineers to design and set up our automation process for Gradle and Maven end-to-end tests, as well as implement and automate test scenarios that catch issues before they reach our users. What you'll do Core responsibilities: Design, develop, and maintain multi-platform and environmental (Linux, Windows, MacOS, Docker, WSL) automated test scenarios. Expand test coverage for new and existing functionality. Debug and troubleshoot test failures. Improve existing automation based on team feedback and reduce test flakiness. Track quality metrics, including testing coverage, failure rate, and flakiness. Contribute to frameworks and tools with product-specific extensions as needed. Help the team monitor test execution results and investigate failures. Participate in release quality assessments. Collaborate with QA and developers to define test strategies. Do manual QA activities when needed. Participate in the test documentation creation. Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope. Share automation best practices with the team. Work with the tooling team to adopt new frameworks and practices. What we're looking for Required skills: Proven experience in test automation. Solid programming skills in Kotlin/Java. Experience with test frameworks like JUnit or TestNG. Familiarity with build tools, like Maven and Gradle. An understanding of software testing principles and methodologies. Familiarity with CI/CD tools (TeamCity or similar). Experience with reporting tools (Allure or others). Version control experience (Git). Proficiency in spoken and written English. Responsibility, self-discipline, and self-learning skills. Strong teamwork skills. The ability to work independently, creatively, and on your own initiative. Nice to have: Experience testing developer tools, IDEs, and desktop applications. Familiarity with JVM Frameworks (Spring or Jakarta) and databases. 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. *Some benefits may vary depending on location. #LI-DNI 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: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Imagine yourself in the 1970s or 80s thinking through how computing should look and feel for people who had never seen one before. That's what we're trying to do at Notion — make software that feels timeless, with the craftsmanship of German cameras, playfulness of Japanese toys, and mass appeal of Coca-Cola. We have no end of fascinating challenges that can only be solved by someone with innate product & UX sense, technical aptitude, great taste, and impeccable craft.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Design product concepts that balance vision, craft, speed, and business potential. - Craft every detail of new product features, from idea to UX to pixel-perfect execution. - Run projects end to end with engineers to drive your vision to the ship line. - Partner closely with our Customer Experience, Sales, and Customer Success teams to understand what each of our diverse user segments need, want, and love about Notion. Use this data and acquired intuition to prioritize, plan, and scope our product roadmap. - Work with Marketing to devise new ways to tell great stories throughout the user lifecycle, and across our site, product, help guides and other channels. - Create new patterns that are intuitive, practical, and convergent. Evolve our design system intentionally as we scale. SKILLS YOU'LL NEED TO BRING: - You have well-rounded skills and experience to run projects independently end to end. 5+ years of working experience. - You seek to understand the needs of customers then explore and advocate for the strongest user experiences to solve their problems - You enjoy untangling vague conceptual problems and have a sharp intuition for the most accessible mental models and flows, so users can immediately start gaining value out of the product. - You create clear, intuitive, and visually appealing human interfaces. - You care about business needs, implications, and practicality of your designs. You don't get stuck on pretty UI or deep abstractions and can balance between craft, speed, and the bottom line. - You have strong beliefs, loosely held. You're a good listener who collaborates well with different stakeholders. You observe and internalize all inputs and feedback to help you reach an optimal decision. - You understand how to tell stories using both words and visuals, and strategize the best ways to drive alignment. - You value working cross-functionally with project management, engineering, research and data — as well as design peers. NICE TO HAVES: - You've designed and built great tools with small teams in the past. - You bring unique strengths and perspectives to the team. We're looking to build a diverse team where our skills and experience can complement each other. - You've experienced the pain of fragmented tools and information silos created by them, and have a strong urge to fix it. - You're familiar with the work of computing heroes like Douglas Engelbart, Alan Kay, Bret Victor, etc. — and understand why we're big fans. - You are a designer who can code! Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $285,000 - $330,000 per year.  By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, United States Founding Design Engineer Location: San Francisco, CA (On-site, 5 days/week) Compensation: $150,000–$250,000 Base + Equity (0.4–0.8%) About the Opportunity An early-stage, venture-backed AI startup is seeking a Founding Design Engineer to become its first design-focused engineering hire. This is a unique opportunity to own the end-to-end user experience for a highly technical AI platform, defining the product's design language while building production-ready frontend applications. Working directly with the founding team, you'll help shape the future of an AI-native enterprise platform by combining exceptional product design with hands-on frontend engineering. What You'll Do Own product design and frontend implementation from concept to production. Design and build production-ready interfaces using React and TypeScript . Establish the company's design language, design system, and UX patterns. Collaborate closely with founders to build intuitive experiences for complex technical workflows. Design for enterprise B2B software, platform products, and AI-powered user experiences. What We're Looking For 1 -​ 5 years of experience in design,​ recent experience shipping frontend code in React/TypeScript Experience at a venture-​backed early-​stage startup or fast-​paced high-​growth company Has a self-​driven project with real users (portfolio,​ side project,​ or startup) Experience at an early-stage startup or other fast-paced environment. Experience designing technical products such as developer tools, enterprise SaaS, infrastructure, platform software, or AI products. Self-starter who thrives in an ownership-driven environment with minimal direction. Design/Arts/CS degree Skills Tech stack React, TypeScript, Figma, Tailwind CSS PLUS Next.js Figma Experience with design systems and component libraries. Familiarity with AI, agentic workflows, or Human-Computer Interaction (HCI) principles. Visa Sponsorship The company can support: H-1B transfers O-1 visas TN visas J-1 visas Please note that new H-1B sponsorship is not available. Why Join? Be the first Design Engineer and help define the product from the ground up. Own both design and implementation without traditional design handoffs. Work directly with an experienced founding team in a collaborative, high-impact environment. Receive competitive compensation and meaningful equity while helping build a category-defining AI product. Salary: $150 – $250 / year

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise Knowledge Work team builds the products that help enterprise knowledge workers collaborate deeply with Claude for major parts of their work. Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job. We're building toward something bigger: people and agents working together on every core work objective, from first idea to finished product, and the recurring work of a team running with Claude in the loop instead of a person pushing every step. It's an enormous space, it's early, and no one has built it well yet. You'll help decide what these products are, not just how they're built — the product questions are as open as the architecture ones — and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build the core primitives that enable knowledge workers across industries and roles to meaningfully leverage Claude You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex customer-facing products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience as startup founders or early-stage employees 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.

Задачи: — Проектировать и разрабатывать высоконагруженные системы с Event-Driven архитектурой; — Работать с асинхронным стеком (AsyncIO); — Обеспечивать наблюдаемость систем (логи, метрики, трейсинг); — Самостоятельно тестировать реализованные решения. Требования: — Опыт коммерческой разработки на Python от 4+ лет; — Уверенное владение AsyncIO, глубокое понимание concurrency и multiprocessing; — Опыт работы с Event-Driven системами, желательно проектирование архитектуры с нуля; — Практический опыт работы с Kafka, Redis PubSub; — Отличное знание PostgreSQL и ORM SQLAlchemy; — Умение работать с Docker, Git, CI/CD; — Понимание принципов observability (мониторинг/трейсинг); — Обязательно умение писать качественные тесты самостоятельно без помощи QA-команды. Будет плюсом: — Опыт работы с AI-ассистентами (Coding Agents); — Понимание различных архитектурных паттернов. Условия: — Инженерные задачи в масштабном финтех-продукте; — Полностью удаленный формат работы из РФ, Беларуси, Казахстана; — Стабильный доход и четкие, фиксированные сроки проекта (3–6 месяцев).

Задачи: — Проектировать и развивать весь рендер-пайплайн (PBR, HDRI/IBL, post-processing, tone mapping). — Разрабатывать архитектуру render graph / pass system. — Отвечать за GLB/material pipeline и систему материалов. — Писать и оптимизировать шейдеры (WGSL / GLSL / TSL). — Интегрировать 3D-движок в React + TypeScript приложение. — Оптимизировать производительность, особенно на мобильных устройствах. — Определять техническое направление и проводить code review. Требования: — Коммерческий опыт с vanilla Three.js (не R3F), включая WebGPU. — Глубокое понимание WebGPU, WebGL2 и GPU pipeline. — Уверенное владение шейдерами (WGSL / GLSL / HLSL / Metal). — Практический опыт с PBR, HDRI/IBL, post-processing. — Знание MRT, render targets, G-buffer, color management. — Опыт профилирования GPU и оптимизации мобильной графики. — Сильные навыки TypeScript, React и архитектуры приложений. Будет плюсом: — Render Graph. — glTF/GLB optimization (Draco, meshopt, KTX2). — Compute shaders, TAA, GPU-driven rendering. — Open Source вклад в Three.js или WebGPU. Условия: — Полностью удаленный формат работы из любой точки мира. — Технологически сложный продукт. — Оплата профильного обучения, курсов (внешние и внутренние). — Конкурентная заработная плата (по результатам технического интервью). — Оплачиваемые отпускные дни: 36 дней в год. — Оплачиваемые больничные. — Приятные бонусы.

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience.1 In Ireland, the Base compensation range for this role is €117,600 - €141,120.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role summary   As a Platform Security Engineer on the Security team, you will architect and maintain the security posture of our rapidly scaling AI infrastructure and application lifecycle. Security is not a gate but an enabler, and you will embed robust controls into our continuous integration and deployment pipelines, infrastructure environments, and developer workflows to protect our systems without sacrificing velocity. Your role exists to ensure that our research and engineering teams can move fast while staying secure. You will shape how security integrates with every layer of our stack, from code to cloud, making secure practices invisible to developers and automatic by default.     What you will do   - Drive threat modeling and risk prioritization exercises as the security counterpart in system-design reviews for core infrastructure and new products. - Own end-to-end vulnerability management across continuous integration and deployment pipelines and runtime environments, covering infrastructure and applications. - Secure our container orchestration deployments and containerized workloads, implementing advanced hardening to prevent lateral movement across distributed systems. - Define and enforce Infrastructure-as-Code security by building robust guardrails and integrating policy-as-code directly into deployment pipelines. - Design and execute a comprehensive security tooling strategy, managing solutions for cloud-native application protection, cloud security posture, static code analysis, dependency scanning, secrets management, and vulnerability tracking. - Champion developer enablement by building secure defaults, streamlining remediation workflows, and drafting actionable security guidelines. - Build foundational security automation to scale alongside hyper-growth, minimizing manual overhead while establishing a pragmatic security culture.   What we're looking for:   - Five or more years of experience in Platform Security, Security Engineering, or Cloud Security, ideally as an early security hire in a fast-scaling environment. - Deep understanding of container orchestration and container security, alongside strong experience securing Infrastructure-as-Code across major cloud providers. - Strong programming and scripting skills in languages such as Python or Go to build security automation and integrate diverse security tools into developer workflows. - Extensive experience deploying and tuning modern security tooling with a pragmatic approach to vulnerability management and threat modeling. - Strong communication skills with a proven track record of partnering with developers and researchers to embed secure defaults without creating engineering friction. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Проектировать архитектурные решения совместно с командой; — Собирать, анализировать и согласовывать бизнес- и системные требования; — Описывать API, интеграции, процессы (UML/BPMN); — Взаимодействовать с разработчиками, архитекторами, ИБ и владельцами продукта; — Участвовать в тестировании, приемке функционала и сопровождении разработки; — Работать с Jira и Confluence, поддерживать актуальность документации. Требования: — Опыт работы системным аналитиком от 3 лет в финтехе, банках; — Английский язык на уровне B2 - C1 (обязательно для коммуникации с иностранными коллегами и клиентами); — Практический опыт работы с BPMN/UML; — Уверенный SQL (JOIN, оконные функции и др.); — Четкое понимание REST/SOAP, JSON/XML, Swagger; — Опыт работы с инструментами Jira, Confluence; — Навыки написания качественной технической документации. Плюсом будет: — Опыт в биометрии, криптографии, ЭП; — Знание и опыт работы по методологии docs-as-code. Условия: — Гибкие форматы сотрудничества (ИП или ТК РФ с прозрачными выплатами); — Удобный формат на выбор: гибрид в Москве или полноценная удалёнка по регионам РФ; — Работа в стабильном и технологичном финтех-домене над сложными задачами; — Полное отсутствие бюрократии и реальное влияние на архитектуру систем.

Location: Russia; Belarus; Georgia; Kazakhstan; United Arab Emirates; Serbia We are on the lookout for a sharp, early-career C++ Developer / Junior Quant Dev —ideally with a background in competitive programming—to join our collaborative and highly analytical engineering team. Our culture is built around thoughtful, detail-oriented, and composed professionals who love optimizing complex workflows. Because the systems you build will directly drive our core business outcomes, we need someone who couples technical talent with strong accountability and great communication skills. If you thrive in fast-paced environments with rapid feedback loops and highly visible results, you will feel right at home here. What You’ll Do Optimize Execution: Implement high-performance trading algorithms, masterfully balancing raw execution speed with long-term code maintainability. Collaborate Internationally: Partner closely with our Quantitative Research team to translate mathematical models into production-ready technical solutions. Write Advanced Code: Architect robust, asynchronous, multi-threaded, and network-centric systems utilizing advanced C++ templates. Requirements Algorithmic Excellence: A rock-solid foundation in data structures and core computer science principles (a proven track record in competitive programming is highly preferred). Core Language Skills: Practical engineering experience using C or C++. System Familiarity: A strong conceptual understanding of Linux OS internals and networking. Global Communication: Fluency in professional English (written and spoken) to seamlessly integrate into our international workspace. Hands-on exposure to sub-microsecond, ultra-low latency real-time engineering. Experience with lock-free concurrency paradigms and data containers. Familiarity with GPU programming via CUDA. Benefits High-Impact Challenges: Engage with complex technical puzzles featuring instantaneous feedback loops. An Elite Global Team: Work alongside a welcoming, brilliant community of international professionals. State-of-the-Art Infrastructure: Gain access to cutting-edge hardware and the latest tech stacks. Ultimate Flexibility: Work 100% remotely from anywhere on the planet, with open-door access to any of our physical global offices whenever you choose. Unbeatable Work-Life Balance: Enjoy flexible working hours and a generous 40 days of paid annual leave . Premium Compensation: A highly competitive salary package tailored to your skills and market standards.

Location: Belarus; Serbia; Georgia; United Arab Emirates; Kazakhstan We are hunting for a talented C/C++ Software Engineer who genuinely loves working with complex data feeds and isn't intimidated by high-stakes technical hurdles. In the world of quantitative trading, data is our lifeblood—meaning our quality standards are incredibly high and the volume of incoming data is massive. This role isn't just about writing code; it's about navigating intricate edge cases and mastering one of the most demanding layers of our engineering infrastructure. If you are someone who enjoys diving deep into technical documentation, obsesses over the details, and takes immense pride in robust engineering, you will thrive here. What will you do: Expand Exchange Connectivity: Build and integrate robust gateways to connect with new financial exchanges globally. Optimize Performance: Fine-tune existing data connectors to minimize ingestion latency and maximize data throughput. Evolve Data Models: Implement support for new and emerging data structures and asset types within our data pipeline. Refactor for Scale: Modernize and re-architect existing solutions to ensure our infrastructure effortlessly scales alongside growing market volumes. Requirements Modern C++ Expertise: Strong hands-on experience writing clean, efficient code using modern standards ( C++17/20 ). High-Throughput Architecture: A proven track record of managing, parsing, and processing massive streams of incoming real-time data. Concurrency & Hardware Savvy: A deep understanding of multithreaded programming, concurrent systems, and CPU memory models. Networking & Systems Mastery: A solid grasp of network protocols, communication layers, and Linux system internals. CS Fundamentals: Strong foundational knowledge of core algorithms and data structures. Global Collaboration: A professional level of written and spoken English to seamlessly partner with our international team. Deep expertise in ultra-low latency, sub-microsecond real-time development. Prior engineering experience in High-Frequency Trading (HFT), telecom routing, or high-performance game engines. Benefits Immediate Impact: Dive into fascinating technical problems featuring ultra-fast feedback loops. Elite Global Network: Collaborate with a welcoming, exceptionally brilliant team of international professionals. Top-Tier Infrastructure: Gain access to state-of-the-art hardware and cutting-edge technological innovations. Ultimate Work Freedom: Work 100% remotely from anywhere on Earth, with full open-door access to any of our physical global offices whenever you like. Premium Perks: Enjoy a flexible schedule, an industry-leading 40 paid days off , and a highly competitive compensation package.

Location: Remote - Argentina; Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Workflow Engineer ! About the Role: Backblaze is running a company-wide AI transformation program, and this role is where strategy becomes something you can actually use. As AI Workflow Engineer, you will be the hands-on builder inside the AI Program Office - embedded alongside the Director, AI Enablement, and deployed into non-GTM, non-Engineering business teams to prototype, build, and ship AI-powered workflow solutions that make a measurable difference in how work gets done. This is not a research role or a strategy role. You will spend your time building: prompt architectures, automation flows, lightweight agents, API integrations, and demos that help a business team see - concretely - what AI can do for them. You will move across functions, which means you need to understand how businesses actually operate. The ideal background is someone who started in a business-facing role - finance, operations, marketing, customer success, HR - and developed serious hands-on AI and automation skills on top of that foundation. You will work closely with the Director, AI Enablement, who owns the program management and delivery layer. Your job is to make their scoped solutions real - fast, iteratively, and with enough rigor that what you build can go to production. What You Will Do: Build and Ship AI Workflow Solutions Take scoped use cases from the Director, AI Enablement and build working solutions: prompt layers, automation flows, lightweight agents, RAG implementations, and API integrations that connect AI tools to the systems business teams already use Build working prototypes quickly - the goal is to show a team what is possible in days, not weeks, then refine based on what actually lands Translate a documented workflow assessment into a technical design, select the right tools for the job, and own the build through to a deployable solution Maintain solution documentation that is clear enough for handoff, iteration, and audit - not just for engineers, but for the business owner who will live with it Embed in Business Teams Spend time inside the functions you are building for - Finance, HR, Legal, Marketing Ops, Customer Success, and others - understanding how the work actually flows before you redesign it Run working sessions with team members to map current-state workflows, surface friction points, and identify where AI creates real leverage versus where it creates noise Build credibility with non-technical stakeholders by showing them working solutions, not decks - and by being honest about what will and will not work Support user acceptance testing and early adoption, troubleshooting issues close to launch and iterating based on real usage Support the AI Program Office Build demos and proof-of-concepts that help the Director, AI Enablement make the case for a use case - or disqualify it early before resources are committed Contribute to vendor and tool evaluations with a builder's perspective: not just whether a tool claims to do something, but whether it actually works in the context of a specific workflow Feed learnings from the build process back into the program - what worked, what did not, what should be standardized across functions Work on tactical quick wins and longer-horizon strategic builds at the same time, switching contexts across active use cases as priorities shift What Success Looks Like (First 90 Days) You have completed at least one workflow assessment alongside the Director and produced a working prototype from it At least one solution you built is in active use by a business team, with a named owner and feedback loop in place You have worked inside at least two different business functions and understand their core workflows well enough to identify the next use case without being told The Director, AI Enablement trusts you to own the build layer independently - scoping conversations happen together, execution happens with you driving The Right Fit: 2-4 years of experience that includes meaningful time working inside a business-facing function - operations, finance, marketing, customer success, HR, or similar - not just in Engineering or IT Hands-on experience building with AI tools: prompt engineering, automation platforms (Make, Zapier, n8n, or equivalent), API integrations, and at least working familiarity with RAG architectures and agent frameworks Proven ability to take a messy real-world process, understand it from the inside, and build something that makes it faster or better - not just technically cleaner Comfortable working with non-technical stakeholders: you can explain what you are building without jargon, gather requirements without a formal spec, and manage expectations when a prototype needs three more iterations Strong enough with code or no-code tools to get solutions to a deployable state independently - you do not need an engineer to ship your work Able to manage multiple active projects at different stages without dropping anything - a quick win in HR this week does not mean the Finance automation waits Genuinely curious about how companies work: the org chart, the incentives, the handoffs, the bottlenecks. This is what separates a good AI builder from a great one in a business context Bonus Points For: Direct experience working in or closely with G&A, Finance, Legal, Marketing Ops, or Customer Success teams - you have lived in the workflows you will be redesigning Familiarity with AI governance basics: data handling, PII awareness, and when a use case needs a security or privacy review before it ships Experience working in a small program or startup environment where you wore multiple hats and shipped without a lot of process overhead Experience in cloud infrastructure, SaaS, or storage companies - comfort with technical products and the teams that build them A portfolio, GitHub, or examples of AI workflows or automations you have built - something you can show, not just describe At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Platform Engineer 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, the systems you design—identity, permissions, governance, connectivity, and the data foundations beneath them—are what make it possible. This is a high-agency role: you'll design the abstractions other teams want to adopt, help the team evaluate hard tradeoffs, and be the engineer in the room who can interface with executives and security teams from the world's largest companies. What you'll do Define and drive multi-year technical strategy for foundational enterprise systems, including our distributability and multi-cloud direction Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams Serve as a primary technical decision-maker for major architectural decisions with org-wide scope Design the platform primitives—identity, permissions, governance, connectivity, and usage data—that other product teams build on Partner with teams such as Inference and Platform on foundational systems, Customer Success for the voice of the customer, and Infrastructure and Safeguards on security, privacy, and responsible deployment Mentor and develop senior engineers across the org, and drive alignment across Product, GTM, and Customer Success while proactively addressing systemic technical risks You may be a good fit if you Have 8+ years of engineering experience with a clear track record operating at Staff or equivalent technical leadership level Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths Have shaped technical strategy at a Cloud Service Provider or large-scale Enterprise SaaS company Bring strong domain expertise and intuition in enterprise areas such as security, identity, compliance, governance, permissions, and connectivity Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust Are highly effective across org boundaries—you build trust with GTM, Platform, Inference, Infrastructure, Privacy, Safeguards, and business stakeholders alike Strong candidates may also have Experience with multi-cloud or distributable deployments of complex systems Experience building the data foundations for enterprise administration—entitlements, metering, usage and cost visibility 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We invite an experienced Technical Lead to join our ALM Domain for collaborating within Scrum teams. ALM Domain teams build platform-level tools and capabilities that support the full Application Lifecycle of Creatio applications. This includes development and packaging frameworks, versioning, configuration management, delivery pipelines, testing, monitoring and alerting, building and integrating CI/CD tools, and lifecycle automation for internal teams and external customers/partners. The focus is on making application development and delivery and maintenance on Creatio predictable, repeatable, and safe across environments. Team composition: 3 Developers, 1 QA, 1 Technical Lead, 1 Agile Coach, 1 Product Owner Responsibilities:   Lead the design and development of architectural solutions and prototypes alongside the system architect and development team. Build, test, and debug high-quality back-end and front-end code. Support seamless product operation by addressing customer cases and ensuring system reliability. Continuously monitor and optimize development processes to enhance team productivity and quality. Drive adoption of innovative tools, standards, and best practices in software development. Collaborate closely with product managers, stakeholders, and leadership to align technical vision with business goals. Conduct technical interviews, mentor developers, and facilitate onboarding and professional growth. Requirements:  Minimum 6 years of software development experience with full-stack expertise in .NET and Angular. At least 1 year in a technical lead or team lead role, guiding teams successfully. Strong mastery of object-oriented programming and solid application of KISS, SOLID, and DRY principles. Proficient in C# and modern .NET runtime environments (.NET 6+), including ASP.NET MVC, Core, and Web API development. Hands-on experience with microservices, containerization, Kubernetes, and Helm for orchestration. Deep knowledge of Angular 15+ with ability to build new components and optimize existing ones in a monorepo using RXJS and pipeline operators. Skilled in JavaScript, TypeScript, DOM manipulation, CSS/SASS, and UI styling per design specifications. Experience using Git and SVN with workflows involving branching, merging, and rebasing. Strong unit testing background including NUnit, mocking frameworks, and API testing with Postman. English proficiency at Upper-Intermediate level or above, both spoken and written. What to expect from us:  Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.