Вакансии

Location: Cyprus; Lisbon; France; Serbia Workplace: remote About You You own the Subscriptions roadmap. Your core job runs end to end: research and discovery, prioritization, pushing work into development, delivery, and then educating the sales team and preparing the documentation that ships with each release. That means staying close to the publishers who run subscription businesses on Xsolla and to their subscribers. You find what moves retention and revenue, decide what gets built and in what order, and drive it from idea through delivery and adoption. Subscriptions depend on many products across Xsolla. You'll work with a tech lead and engineers, and coordinate across Payments, Anti-fraud, Auth, Catalog, Shop Builder, LiveOps, Analytics, and others.   What we're building Xsolla Subscriptions is a subscription monetization engine for games that covers the full lifecycle. Publishers use it to power battle passes, premium memberships, season passes, and other recurring mechanics — creating plans, running trials, and handling renewals, failed payments, and cancellations. Track subscribers, churn, and revenue in one place. As merchant of record, Xsolla also covers global recurring payments, tax, refunds, and chargebacks. The team owns that whole surface: plans and pricing, renewals and retry logic, trials and grace periods, churn and recovery, and the subscriber and publisher experience.   About Us Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Research and discovery. Study competitors, interview publishers and partners to uncover their needs, and dig into subscriber and payment data to find what's worth building. Collect requirements and design features. Turn findings into clear requirements and feature designs. Own the roadmap. Decide what gets built, in what order, and why. Maintain a clear rationale the team and stakeholders can rely on. Deliver and coordinate. Drive features to production and keep the cross-product dependencies moving. Post-delivery support. Support marketing materials preparation, train the sales team, and prepare integration-team materials and public documentation. Requirements 4+ years in product, with real time on subscription, billing, or payments products. A solid understanding of subscription economics and lifecycle, ideally in games — battle passes, premium memberships, season passes, and others. Comfort with billing mechanics: renewals, proration, dunning and retry, grace periods, refunds, chargebacks, and tax. A track record of taking features from research to shipped, and making prioritization calls without full information. Systems thinking: you understand how a pricing or billing decision compounds across many publishers and their subscribers. Daily use of AI tools is assumed and expected. It is a significant plus if you have a strategic vision for applying machine learning to core subscription challenges—such as churn prediction, retry timing, and dynamic pricing—or possess hands-on experience in the field. Why this team Subscriptions are one of the fastest-growing forms of monetization in games — predictable revenue, low overhead, strong loyalty — and now outpace one-off and in-game purchases in growth. Small gains in recovery or conversion have a huge impact across thousands of publishers. You'll own a high-impact product with direct visibility to engineering and business leadership. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Beijing, China Workplace: onsite RESPONSIBILITIES 1. Lead product planning and design for the company's white-label app store platform, enabling clients to rapidly build and operate their own branded app marketplaces on a shared platform infrastructure — covering core modules including the end-user app store, developer console, and operations backend. 2. Own the configurable product design of the white-label app store, including brand theming, page layout, content structure, operational rules, and role-based permissions — improving platform reusability and project delivery efficiency. 3. Design and optimize the full app lifecycle — from onboarding and submission for review, to publishing, search and recommendation exposure, and download conversion. 4. Engage with clients, business development, and operations teams to gather requirements; identify common needs across clients in areas such as app distribution, content operations, and campaign configuration; and consolidate reusable functional modules and configuration solutions to reduce repetitive custom development. 5. Collaborate with engineering teams to build out platform capabilities including multi-tenancy, permission frameworks, configuration backends, and module reuse — supporting continuous platform scaling and multi-project delivery. 6. Design developer platform capabilities including developer onboarding, app submission and review, version management, data dashboards, and settlement/revenue sharing modules. 7. Work with operations teams to design featured collections, campaign pages, and resource slot scheduling — supporting key app distribution initiatives and growth targets. 8. Partner with the monetization team on capabilities such as advertising, in-app purchase revenue sharing, and subscription services — exploring platform monetization models. 9. Track developments in the app store landscape, Android ecosystem, and overseas distribution markets; continuously refine product strategy in line with business growth. Requirements 1. Bachelor's degree or above; majors in Computer Science, Software Engineering, Information Systems, or related fields preferred. 2. 5–8 years of product management experience in internet products; experience with platform products, app stores, content distribution platforms, open platforms, or SaaS platforms preferred. 3. Proven experience designing complex backend systems or platform-type products; ability to independently lead product planning and delivery across multiple user roles and modules. 4. Strong familiarity with core app distribution flows, including app review, search ranking, recommendation mechanisms, chart strategies, and growth conversion. 5. Familiarity with white-label products, multi-tenant architecture, permission systems, or configurable backend design; hands-on project experience preferred. 6. Strong requirements analysis and abstraction skills; able to balance client-specific customization needs against scalable platform solutions. 7. Strong cross-functional communication and project execution skills; able to drive delivery in collaboration with engineering, QA, operations, and business teams. 8. Data-driven mindset; able to identify product issues through data analysis and drive iterative improvements. 9. Solid English reading and writing proficiency; experience with overseas markets or multilingual products preferred. Bonus Points 1. Experience with Google Play, Huawei AppGallery, Xiaomi App Store, or similar platforms. 2. Experience with the Android ecosystem, SDK platforms, or open platform products. 3. Experience with advertising platforms, monetization products, or growth products. 4. Experience with products targeting overseas markets, multiple regions, or multilingual user bases. 5. Familiarity with app review processes, compliance requirements, or security risk management. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Remote Wormhole Labs builds Sunrise (sunrise.xyz), a platform that helps token issuers launch and list their tokens on Solana. To date, we've orchestrated the launch of dozens of assets on the Solana blockchain accounting for more than $10 billion in cumulative trading volume. WHAT YOU’LL DO - Source, pitch, negotiate, and close partnerships with asset issuers, Solana ecosystem projects, and broad ecosystem participants to drive Sunrise adoption. - Cultivate and manage strong relationships with blockchain protocols, crypto startups, DAOs, and enterprise clients, driving adoption and integration of our solutions and services. - Partner with product and engineering teams to support launches and align GTM strategies with client needs. - Analyze market trends, customer feedback, and performance metrics to identify growth opportunities and optimize strategies. - Build, manage, and execute a structured sales pipeline to ensure consistent lead generation and successful deal closure. - Work closely with internal teams, including engineering and operations, to deliver seamless client solutions and drive successful outcomes. WHAT WE LOOK FOR IN YOU - Experience: 4+ years in business development, sales, or strategy roles within blockchain, crypto, fintech, or SaaS industries. Proven track record closing meaningful partnerships. - Industry Knowledge: Deep understanding of blockchain technologies, protocols, DeFi, and cross-chain solutions. - Analytical Expertise: Strong ability to derive actionable insights from data and apply them to drive strategy and decision-making. - Communication Skills: Exceptional verbal and written communication skills, with the ability to present complex ideas clearly and effectively to diverse audiences. - Proactive Mindset: A self-starter who identifies opportunities, takes initiative, and thrives in a fast-paced, evolving environment. - Relationship Builder: Proven ability to cultivate and nurture high-value partnerships. - Flexibility: Comfortable working across time zones and collaborating in a remote-first environment. NICE TO HAVES - Experience working with blockchain foundations, DAOs, DeFi companies, and protocols. - Technical knowledge or hands-on experience with blockchain development tools. - Familiarity with analytics platforms like Solscan, Etherscan, Dune Analytics, or similar tools. WHY YOU’LL LOVE WORKING HERE - Competitive compensation packages, including discretionary bonuses. - Flexible, remote-first working arrangements with a distributed team. - A culture that values creativity, innovation, and collaboration. - The opportunity to solve some of the hardest problems in crypto, working alongside an exceptional and highly skilled team.

Location: Cairo, Egypt D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Role overview: Provide onsite support for OT and automation systems, including PLC, SCADA, HMI, communication modules, and related industrial control systems. The role focuses on troubleshooting, incident resolution, system recovery, patching, backups, and compliant change execution in line with site QMS and GAMP 5 requirements. Responsibilities Support OT systems, incidents, service requests, and change management activities Troubleshoot PLC, SCADA, OPC/PI, and industrial communication issues Work with Siemens environments: TIA Portal, WinCC, Step 7, Step 5 Support Siemens PLC systems and automation infrastructure Support Beckhoff automation systems (optional) Support DeltaV systems and automation components (optional) Analyze PLC CPU and communication diagnostics Resolve software, firmware, configuration, and communication issues Perform firmware, memory, and module health checks Support OT patching, firmware upgrades, and software updates Restore system communication and perform recovery actions Support PLC programming modifications and control logic adjustments Configure and maintain HMI/SCADA applications Participate in commissioning, FAT, SAT, and validation activities Support automation projects, upgrades, and system integrations Trace I/O and field signals using E&I drawings and technical documentation Perform OT backups, restore procedures, and disaster recovery support Maintain validated system baselines and technical documentation Execute and document changes according to QMS/GAMP 5 procedures Coordinate with Engineering, Automation, IT, Production, Quality, OEMs, and vendors Support OT cybersecurity, access control, and system hardening activities Requirements Experience with OT, industrial automation, or control systems environments Strong knowledge of PLC and SCADA systems Hands-on experience with Siemens TIA Portal, WinCC, and Step 7 Experience with Step 5, Beckhoff, or DeltaV is an advantage Knowledge of industrial communication protocols such as OPC, PI, Ethernet/IP, Profinet, and Profibus Understanding of PLC CPUs, I/O modules, firmware, and diagnostics Experience with OT patching, backups, restore procedures, and change control Ability to read E&I drawings, loop diagrams, I/O lists, and network diagrams Experience in GMP/GxP or validated environments Understanding of GAMP 5 and QMS processes Familiarity with OT cybersecurity concepts Strong troubleshooting and documentation skills Ability to support production-critical systems onsite Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re hiring a Product Marketing Manager to help shape how Linear’s products are brought to market and understood by customers. This role sits at the intersection of Product, Engineering, Design, CX, Sales, and Marketing, and is responsible for turning technically sophisticated product work into clear narratives, strong launches, and high-quality customer-facing experiences. You’ll go deep on the product, define positioning and messaging, and drive execution across the surfaces that matter most—from in-product copy and changelogs to enablement, documentation inputs, email, and launch communications. This is a hands-on role for someone who combines product judgment, excellent writing, and strong cross-functional leadership. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and the United Kingdom. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Develop positioning, messaging, and core narratives for feature releases, key launches, and strategic product narratives - Partner closely with Product management, Engineering, and Design to refine how products are presented across in-product and external surfaces - Create and coordinate launch deliverables such as changelogs, demos, enablement materials, email, social copy, and go-to-market communications - Equip Sales, CX, and other customer-facing teams with the context and materials they need to communicate new launches effectively - Bring customer insight, product understanding, and market context back into product and launch decisions What we’re looking for - Exceptional writing and editorial judgment, with the ability to make complex ideas feel clear and compelling - Strong positioning and messaging skills grounded in customer problems, product truth, and differentiation - Great project management skills and ability to track large amounts of detail. - Comfort going deep on product details and building credibility with Product, Engineering, and Design - Strong judgment, ownership, and the ability to operate autonomously while maintaining a high quality bar What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

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 The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork. Key Responsibilities: Design and run experiments to improve Claude's perception and agentic capabilities Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks Build and improve computer use and vision reinforcement learning training environments Create pipelines and tools to test and validate complex RL environments Collaborate with teams across the model training and infrastructure stack to improve our production training setup Partner with product teams to bring research advances into production Minimum Qualifications: Software engineering experience and proficiency in Python Experience training, fine-tuning, or evaluating machine learning models Strong communication skills and a collaborative working style Care about the societal impacts and safety of your work Preferred Qualifications: Experience training models for computer use or other agentic capabilities Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings Familiarity with multimodal model training Experience building evaluations or benchmarks for agentic systems Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure Experience working closely with product teams to drive model improvements 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: $500,000 — $850,000 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: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created millions of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. Render builds and orchestrates a growing number of kubernetes clusters on different hyperscalers and recently, our own hardware. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform. We are looking for engineers with deep specialization in cloud and compute infrastructure. We are particularly interested in experience with Kubernetes and container orchestration, micro VMs, controllers, operators, and the automation and self-healing of large scale distributed systems. Areas of focus for the team this year will unlocking bottlenecks to scale our clusters while also automating the multi-step creation, configuration, testing, and tuning of Render clusters. We will expand Render to new regions, our own bare metal, and start orchestrating micro VMs outside of Kubernetes entirely. WHAT YOU'LL DO - Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale. - Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down. - Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms. - Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning. - Partner with engineers across the company to build a platform that is stable, predictable, and secure. - Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents. WHAT WE'RE LOOKING FOR - At least 7 years of experience building and operating large-scale platform or compute infrastructure. - Deep expertise in operating, scaling, and enhancing Kubernetes clusters or similar resource/container orchestration system. - Experience developing in Go, Rust, or similar languages to develop custom infrastructure components, scheduling, controllers, that apply business logic to resource management. - Comfort going broad and deep in a complex systems, making tradeoffs to improve performance and efficiency without sacrificing reliability. - Strong experience designing, debugging, and operating distributed systems. - Experience planning and executing rapid, high-risk upgrades, changes with minimal downtime to user services. NICE-TO-HAVES - Background in virtualization technologies like Firecracker, gVisor, Kata, or similar. - Experience optimizing the performance of node, pod, and container spin-up times. - Familiarity with eBPF, Linux kernel internals, resource management. - Comfort securing and isolating workloads in multi-tenant execution environments. RELEVANT LINKS FROM THE RENDER INFRASTRUCTURE TEAM - The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Serbia Workplace: remote ABOUT YOU We're looking for a Staff Engineer to join our Identity & Access Management (IAM) platform team. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how Xsolla builds secure, high-scale auth infrastructure — setting direction, making hard architectural calls, and raising the bar across the org. You will own the strategy behind authentication, authorization, and session management at scale, and evolve our OAuth 2.0 / OIDC flows and token lifecycle to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering and security stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production IAM issues get hard. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.   HOW WE WORK Xsolla operates across multiple time zones, and the IAM platform underpins authentication and authorization for every product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. If a design or production issue has real security or reliability implications, we expect you to say so clearly, defend your position with evidence, and stay engaged until it's resolved.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own IAM Architecture & Strategy — Own the technical strategy and architecture of our IAM platform, covering authentication, authorization, and session management at scale. Design Auth Protocols — Design and evolve our OAuth 2.0 / OIDC flows, token lifecycle, and security primitives to meet both product and compliance requirements. Drive Cross-Team Technical Decisions — Drive decisions on protocol design, data modeling, and platform reliability, and build buy-in across engineering and security teams. De-Risk Proactively — Identify systemic risks and performance bottlenecks; lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, and infra teams to align on roadmap and translate business needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the IAM domain. Requirements Identity & Security OAuth 2.0 / OIDC Depth — Deep understanding of OAuth 2.0, OIDC, and related auth flows: authorization code + PKCE, client credentials, device flow, token introspection, refresh strategies. Web Security Fundamentals — Solid grasp of cookie security, CSRF, XSS, token storage, TLS, and secure session management. Production IAM Experience — Experience designing or operating production-grade IAM or auth systems. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes). Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Hands-on experience with the Ory ecosystem (Hydra, Kratos, Keto) — operating it in production or building on top of its APIs Experience with CockroachDB or other distributed SQL databases (multi-region deployments, clock skew handling, survivability trade-offs) Familiarity with compliance requirements relevant to IAM: SOC 2, ISO 27001, GDPR data minimization, audit logging Contributions to open-source security or identity projects Experience building or integrating with SCIM, SAML, or enterprise SSO (LDAP / Active Directory) Background in platform or infrastructure engineering — building systems other engineers build on top of Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Remote - US About Backblaze 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. Backblaze is seeking a highly analytical, systems-oriented Cluster & Systems Capacity Engineer to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform. About the Role: This role ensures that Backblaze’s storage clusters, compute systems, and network infrastructure scale reliably, cost-efficiently, and ahead of demand. You will build and maintain predictive models, ensure consistent supply and demand alignment, and partner cross-functionally to inform strategic investment and deployment decisions. . This is a high-impact role within Cloud Operations, directly contributing to service availability, durability, performance, margin optimization, and long-term platform scalability. Key Responsibilities: Capacity Planning & Forecasting Develop and maintain short, medium, and long-term capacity demand and hardware deployment forecasts across storage, compute, and network domains within the platform Build predictive models that translate business demand signals into infrastructure requirements using historical utilization, growth trends, product sales plans, hardware lifecycle roadmaps, and other key business inputs Partner with Infrastructure, Production, and Network Engineering teams to align capacity plans with system design and scaling initiatives Develop and automate forecasting pipelines, simulation calculators and tools, and capacity dashboards to improve data quality, reduce manual analysis, and provide stakeholders clear visibility into platform usage and cluster health metrics Cluster Performance & Resource Optimization Monitor and analyze cluster and system-level utilization and performance across CPU, memory, IOPS, and network resources Adjust deployment plans and recommended configurations in real-time to maintain adequate headroom and system stability in support of delivering a world-class customer experience Partner with service and platform owners to develop headroom and live buffer policies, optimize hardware BoMs, leverage virtualized orchestration, and reduce product cost Cross-functional Organizational Alignment Work in lockstep with Operations and Finance peers to align capacity plans and hardware requirements with capital budgets, cost targets, and financial outcomes Support strategic optimization initiatives across infrastructure investments, engineering development, and operations processes, contributing to long-term infrastructure strategy and capital planning Lead efforts to evaluate, procure, and provision requests for new or additional hardware, working with Systems and Network Engineering, SRE, NOC, and Data Center Operations teams to identify and deliver optimal solutions Maintain alignment with Product and Sales to support customer onboarding, growth, and demand variability Communicate complex capacity and infrastructure insights clearly to technical and non-technical stakeholders Required Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, Statistics or a related, technical field (or equivalent experience). 3-6+ years of experience in Site Reliability Engineering, Infrastructure Capacity Planning, Systems/Infrastructure Engineering, Production Engineering, Data Center Operations or similar Cloud Operations role Familiarity and experience working with Cloud Storage infrastructure, particularly highly-available, large-scale distributed systems supporting large amounts of data with high throughput and complex performance requirements Background in capacity modeling, performance analysis, scenario modeling, and/or infrastructure cost optimization, with an ability to quantify ideas within financial frameworks and forecasts. Proficiency in database and data analysis tools (preferably Snowflake, Metabase, Grafana, Python, SQL, Prometheus, Victoria Metrics, and Excel/Google Sheets) Demonstrated deep, creative, and logical thinking complimented by a strong data analysis skillset Excellent communication and documentation skills, with the ability to share knowledge and explain concepts accurately and concisely Desire to work on a highly-autonomous team that cares deeply about quality, cost, and the customer experience Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $123,000 - $175,000. 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.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are hiring a Principal Engineer to help define the technical direction for core product experiences at 1Password. This is a senior individual contributor role for an engineer who can translate ambitious product strategy into systems that scale technically and operationally. You will drive architecture, engineering standards, and technical direction across the product ecosystem, working across client applications, distributed services, data platforms, and shared infrastructure to build experiences that are secure, reliable, performant, and maintainable.This is not a role scoped to a single team or subsystem. The expectation is organization-level technical leadership: shaping how Product Engineering approaches complex cross-cutting problems, guiding long-term architectural investments, and establishing the technical patterns and operational standards other teams build against. You will operate across the full lifecycle of product engineering work, from architecture and system design through production operations and long-term evolution. Success in this role requires balancing product velocity with engineering durability, making pragmatic technical tradeoffs, and driving alignment across teams with different priorities and constraints. You will help evolve the next generation of 1Password’s product architecture, including the responsible integration of AI capabilities into core product experiences. Security and privacy by default, cross-platform consistency, operational resilience, and enterprise-scale reliability are foundational requirements that must be reflected in every architectural decision. If you want to build systems used daily by millions of individuals and hundreds of thousands of businesses, and solve engineering problems where distributed systems, reliability, usability, security, and intelligent automation all matter simultaneously, this is that role. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have designed and operated large-scale distributed systems where reliability, scalability, maintainability, and operational excellence matter. - You have deep experience driving architecture and technical direction across multiple teams, organizations, or product domains. - You have strong systems-thinking instincts and can reason effectively about platform boundaries, distributed systems constraints, developer ergonomics, and long-term technical sustainability. - You have experience building customer-facing product systems across clients, APIs, distributed services, cloud infrastructure, and data platforms. - You have experience building or scaling event-driven systems, microservices architectures, or shared platform infrastructure in production environments. - You have practical experience integrating AI or ML capabilities into production applications and understand the engineering tradeoffs involved in introducing AI into trust-sensitive product experiences. - You have strong instincts for privacy-preserving and security-conscious system design, including thoughtful handling of telemetry, user data, permissions, and auditability. - You are effective at driving alignment across teams with different incentives, priorities, and technical perspectives. - You communicate clearly with engineers, executives, and cross-functional partners, and can explain complex technical tradeoffs in practical terms. - You are comfortable operating in ambiguity and helping organizations make durable technical decisions before every variable is known. Bonus points for: - Experience in identity, authentication, authorization, secrets management, enterprise security, or trust-oriented product domains. - Experience building large-scale event-driven or multi-region distributed systems in cloud environments. - Experience building cross-platform applications or shared platform architectures at scale. - Experience with developer platforms, internal engineering frameworks, CI/CD systems, or large-scale infrastructure modernization initiatives. - Experience integrating LLMs or AI-assisted workflows into customer-facing SaaS applications. - Experience with endpoint trust, browser or extension security, enterprise administration workflows, or device posture systems. - Experience mentoring engineers and raising the engineering bar across organizations through technical leadership and operational excellence. What you can expect: - Define architecture and technical direction for core product capabilities spanning clients, distributed services, data platforms, and shared infrastructure. - Establish engineering standards and reusable architectural patterns for scalable, maintainable, and resilient product systems across Product Engineering. - Drive long-term technical strategy across critical product areas, balancing immediate delivery needs with scalability, operational excellence, and platform sustainability. - Partner closely with Product, Design, Security, Privacy, Infrastructure, and Data teams to ensure technical decisions support both customer outcomes and long-term operational durability. - Guide how AI-powered capabilities are integrated into customer-facing product experiences, ensuring systems are reliable, observable, operationally safe, and aligned with customer trust expectations. - Define engineering expectations for AI-enabled product systems, including evaluation frameworks, rollout safety, telemetry, fallback behavior, auditability, and operational controls. - Establish shared platform capabilities and infrastructure patterns that allow teams to build product features consistently across clients, services, APIs, and AI-assisted workflows. - Influence and drive key architectural decisions around distributed systems design, event-driven architectures, synchronization models, scalability, performance, reliability, extensibility, and platform interoperability. - Help teams navigate difficult technical tradeoffs, unblock large cross-functional initiatives, and reduce systemic engineering complexity across the organization. - Raise the operational bar for production systems through stronger reliability practices, observability standards, incident readiness, performance analysis, and engineering discipline. - Mentor and influence engineers across the organization through technical leadership, architecture reviews, design guidance, and hands-on problem solving. What success looks like: Success in this role means Product Engineering can scale product development without sacrificing reliability, maintainability, security, or customer trust. That includes: - Durable architectural patterns that enable teams to move faster with less duplication and lower operational overhead. - Product systems that scale reliably across platforms, enterprise environments, and growing customer complexity. - Engineering teams making more consistent technical decisions with clearer standards and stronger shared foundations. - AI-powered product experiences that are useful, measurable, trustworthy, and operationally safe. - Reduced systemic friction across development, delivery, observability, and cross-team coordination. - Stronger operational resilience, including improved reliability, debuggability, rollout safety, and incident response readiness. - Technical investments that improve long-term engineering velocity instead of creating organizational drag or platform fragmentation. USA-based roles only: The annual base salary for this role is between $246,000 USD and $369,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $228,000 CAD and $342,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Tokyo Workplace: remote ABOUT YOU We are looking for a Corporate Attorney - Japan who is detail-oriented, proactive, and a collaborative team player to join our international Legal team. The ideal candidate thrives in a fast-paced, highly dynamic environment and brings deep expertise in corporate law, negotiations, and a broad range of commercial agreements. You will mainly serve as in-house counsel for Xsolla's Japan operations, advising on everything from licensing deals and vendor contracts to local HR matters and corporate governance issues. Strong analytical skills, exceptional verbal communication, and drafting abilities in both Japanese and English are essential. Prior experience in the gaming industry is a significant plus. If you are passionate about enabling business growth while managing legal risk in one of the world's most sophisticated legal markets, we would love to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla as the merchant of record to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: • Draft, review, and negotiate a wide variety of commercial agreements, including licensing arrangements, vendor contracts, distribution agreements, and partnership deals • Advise on Japanese employment and HR matters, including hiring, termination, and compliance with local labor regulations • Provide corporate governance counsel on entity management, shareholder agreements, and board-level matters specific to Japan • Manage relationships with and coordinate work of external Japanese counsel across multiple practice areas • Monitor and advise on regulatory developments in Japan affecting Xsolla's business operations • Support cross-border transactions and coordinate with global legal teams on multi-jurisdictional matters • Identify and mitigate legal risks across all Japan business operations Qualifications & Skills: • Minimum of 7 years of experience as a corporate attorney, either at a reputable law firm or in an in-house legal department of a company • Licensed to practice law in Japan (bengoshi qualification or equivalent required) • Deep expertise in negotiations and drafting across a wide variety of complex agreements and corporate matters, both for Japanese market and worldwide • Broad experience handling corporate in-house issues, including licensing deals, vendor contracts, and HR/employment matters • Full professional fluency in Japanese and English, both written and spoken (required) • Prior experience in the gaming, entertainment, or technology industry preferred • Salary: $105,000 plus eligible for bonus • Strong analytical, communication, and interpersonal skills • Ability to work independently, manage multiple priorities, and operate effectively in a globally distributed organization • Knowledge and experience with EU Regulation, FinTech, and Privacy Knowledge is preferred. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com For more vacancies: Careers | Xsolla

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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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: Germany (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 or Germany. 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. In Germany, the Base compensation range for this role is €109,709 - €131,651.  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: Sweden (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 or Germany. 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. In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294.  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: Spain (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 or Germany. 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. In Spain, the Base compensation range for this role is €94,025 - €112,830.  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: United Kingdom (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 or Germany. 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. In the UK, the Base compensation range for this role is £103,958 - £124,750.  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: United States; Toronto, Canada About Our Client Our client builds and scales vertical market software companies. They partner with strong teams, invest in the long term, and run disciplined operating systems to drive sustainable growth across their portfolio. About the Product Our client is on a mission to transform the way customers operate. Their AI-powered agent is designed to connect to existing tools, resolve questions, book appointments, and close deals automatically, 24/7, through voice, text, and email. They are a fast-scaling, tech-driven startup backed by leading software investors. The Opportunity We’re hiring a Sales Lead to drive new business growth for our client. This is a full-cycle sales role for an experienced seller who can personally close business, build a repeatable outbound motion, and help shape the go-to-market strategy for a high-growth AI product. You’ll own the sales process from prospecting through close and customer handoff. You’ll be one of the first commercial hires, which means you’ll have real influence on positioning, pricing, sales process, and how the product is brought to market. You’ll work closely with executive leadership and cross-functional stakeholders across Product, Partnerships, Marketing, and Customer Success. This role is designed for someone who thrives in builder environments, is energized by a product that sells itself once prospects see it, and wants ownership over outcomes, not just activity. Requirements Drive New Business Growth Own the full sales cycle: prospecting, discovery, demos, proposals, negotiation, and close. Build and maintain a target account strategy by segment and customer profile. Clearly articulate the ROI, efficiency gains, and revenue impact of AI-powered call handling and booking automation. Seamlessly transition new customers to onboarding and Customer Success for activation and first value realization. Build a Repeatable Outbound Motion Lead outbound strategy and execution across calls, email, LinkedIn, and industry events. Develop and iterate on talk tracks, competitive positioning, objection handling, and demo structure. Establish pipeline creation targets and inspection routines that translate activity into predictable results. Create repeatable playbooks covering segments, sequences, cadences, and qualification criteria. Shape the Go-to-Market Strategy Share structured customer insights and market feedback with Product and leadership to inform roadmap, pricing, and packaging decisions. Maintain accurate pipeline, activity tracking, and forecasting in CRM (HubSpot). Consistently meet or exceed monthly and quarterly KPIs across outreach, demos, pipeline, and revenue. Coordinate with Partnerships and Marketing to leverage partner channels and campaigns for pipeline generation. What Success Looks Like In the First 90 Days You’ve built a clear target account list by segment and launched outbound motions that are producing qualified opportunities. CRM pipeline and activity tracking are clean, reliable, and maintained. You’ve delivered multiple demos, progressed deals through the pipeline, and closed your first customers. In 6 to 12 Months A predictable sales engine is running: outbound activity is converting to qualified pipeline, and pipeline is converting to closed revenue. You’ve closed a meaningful book of new business and the customer base is growing steadily. Sales playbooks, talk tracks, and demo flows are documented and repeatable. You’re contributing to expansion beyond the initial vertical, identifying and testing new market segments. Benefits Required 3 to 5+ years of proven success in B2B SaaS new business sales, with a strong track record of closing. Strong hunter mentality: comfortable with outbound prospecting and generating your own pipeline, not reliant on inbound leads. Experience managing a full sales cycle from first contact through contract execution. Confident running discovery calls and solution-based sales conversations that connect product capabilities to business outcomes. Experience building or materially improving a sales motion: process, messaging, cadence, and forecasting. Strong communication, presentation, and relationship-building skills. CRM experience (HubSpot, Salesforce, or equivalent). Self-motivated, goal-driven, and comfortable working autonomously in a fast-paced, evolving environment. Preferred Experience selling in marine management, storage systems, dealership platforms, or adjacent verticals is a strong plus. Experience selling AI, automation, or voice/conversational technology products. Experience in vertical market software or operationally complex environments where the buyer is an operator, not a tech team. Startup or early-stage SaaS experience where you had to build the motion, not just run it. Why Join Sell a product that prospects can see and hear in action from the first demo, in a market that is ready for it. Ground-floor opportunity: be one of the first commercial hires as the business establishes its leadership team and revenue engine. Direct influence on positioning, pricing, go-to-market strategy, and product direction. Competitive base salary with uncapped commission and high OTE potential.

Location: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.