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Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms. WHAT YOU'LL WORK ON: - Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil - Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity - Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration - Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network) - Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVES: - Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink) - Prior experience with Go

Location: Stockholm; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. WHAT YOU’LL WORK ON: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVE: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. IN THIS ROLE YOU WILL - Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues - Set technical direction for how our agents get context, use tools, and decide when they're done - Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them - Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift - Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles - Own major AI initiatives end to end, alongside the developers and product teams shipping them - Run what you ship in production and debug it with Sentry YOU'LL LOVE THIS JOB IF YOU - Are driven by impact and enjoy working on high-stakes, high-visibility projects - Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members - Thrive in cross-functional teams and enjoy building features alongside developers and product teams QUALIFICATIONS - You've shipped an LLM-backed system people depended on, and can tell us what broke - You have strong opinions on agent design and have changed at least one in the last year - You've trained or fine-tuned models when it was the right call, and you know when it isn't - You write solid production Python - You've owned a system or component and led work across multiple engineers and teams, with a design doc people actually read - You write clear technical documentation, mentor other engineers, and present to technical audiences The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $400,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering, you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. WHAT YOU’LL DO - Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. - Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. - Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. - Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. - Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. - Partner with engineering and product leaders to prioritize platform investments and sequence work across teams. - Guide major architectural decisions and help teams resolve disagreements with clear reasoning and evidence. - Mentor senior and staff engineers, strengthening their technical judgment and ability to lead across team boundaries. HOW YOU WORK - You bring structure to ambiguous problems and help teams agree on what to solve first. - You pair architectural judgment with hands-on engineering and ownership through delivery. - You build alignment across teams, challenge assumptions, and make decisions when priorities compete. - You favor simple, maintainable designs and understand when added complexity is necessary. QUALIFICATIONS - Proven experience setting technical direction across multiple engineering teams, aligning engineering and product leaders on architectural decisions, priorities, and tradeoffs. - Track record of leading complex, cross-team initiatives from problem definition through production delivery, with measurable improvements in reliability, scalability, performance, or engineering productivity. - 12+ years of software engineering experience, including substantial hands-on experience architecting, building, and operating large-scale distributed systems. - Deep experience designing and operating production systems in cloud environments such as AWS or GCP, with ownership of architectural decisions and their operational outcomes. - Strong hands-on software engineering skills, including writing production code and building prototypes to validate architectural approaches. - Deep expertise in one or more of the following areas, with working knowledge across others: - Cloud infrastructure, container orchestration, and infrastructure as code, such as Kubernetes and Terraform. - Event streaming and real-time processing systems, such as Kafka, Flink, or Beam. - Distributed storage and data systems, including OLAP/OLTP databases, blob storage, and caching. - Ability to explain complex technical tradeoffs, build alignment across teams and senior leadership, and resolve architectural disagreements. - Experience mentoring senior and staff engineers, strengthening their architectural judgment, and developing technical leadership across teams. The base salary range Sentry reasonably expects to pay for this position is $260,000 to $400,000, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are currently seeking a Public Cloud Operations Expert to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of AWS and Alibaba Cloud resources, ensuring high availability, high performance, and compliance. What You’ll Be Doing Cloud Platform Architecture & Operations Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.). Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations. Monitoring & Incident Management Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK). Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency). Cost Optimisation & Resource Management Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive). Establish resource quota management strategies to prevent waste and overspending. Security & Compliance Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities. Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS). Cross-Team Collaboration & Knowledge Sharing Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices). Document operational procedures (SOP manuals) and lead internal technical training sessions. What We Look For In You Technical Skills Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform. Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible). Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh). Experience Requirements 5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances. Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred. Team Management Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams. Certifications & Education AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred. Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields. Nice-To-Haves Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies. Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield). Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR). Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Make Replit the single place where businesses can buy everything they need through their agents. As a Staff Software Engineer on Replit’s Money team, you’ll set technical direction and build the commerce platform that lets users discover, evaluate, purchase, and manage the products and services they need to build and run their businesses—without leaving Replit.   Replit already enables businesses to accept payments through integrations such as Stripe. This role builds on that foundation to expand what businesses can buy and accomplish through Replit Agent. You’ll design commerce experiences that combine the simplicity consumers expect with the controls enterprises need, making agent-assisted purchasing useful, trustworthy, and reliable.   You’ll own architecture and lead cross-team delivery across merchant and service-provider integrations, agent tools, purchasing workflows, and the lifecycle after a transaction. The challenge goes beyond executing a payment: agents need to understand what a user wants, present clear choices and costs, act within delegated authority, and verify that the purchase delivered the intended outcome. You’ll stay hands-on with design and code while aligning partners, mentoring engineers, and turning an ambitious product vision into incremental customer value. Set the architecture and technical roadmap for agentic commerce, making Replit a single place to discover, buy, and manage the products and services businesses need. YOU WILL: - Lead end-to-end purchasing experiences through Replit Agent: translate user intent into relevant options, communicate prices and terms, obtain appropriate authorization, execute purchases, and confirm fulfillment or provisioning. - Build extensible integrations with merchants, software vendors, and service providers so the platform can expand its commerce offering without rebuilding each workflow from scratch. - Build on existing Stripe and payments capabilities, extending payment integrations where needed to support new purchasing experiences rather than treating basic payment acceptance as a greenfield problem. - Design agent-facing APIs and tools with clear contracts, secure credentials, scoped permissions, spending limits, and appropriate confirmation for consequential actions. - Partner with product and security to support enterprise purchasing requirements such as role-based access, approval workflows, purchasing policies, and auditable transaction histories, while keeping simpler purchases easy. - Own the purchase lifecycle beyond checkout: provisioning and access, order and subscription state, receipts, renewals, cancellations, refunds, and reconciliation across providers. - Make agent-driven transactions reliable with idempotency, verified events, durable state, safe retries, and recovery from partial failures; evaluate whether workflows complete the authorized task without duplicate purchases or unintended spend. - Lead ambiguous initiatives across teams, define incremental milestones, stay hands-on with implementation, and raise the engineering bar through mentoring, design reviews, and production ownership. REQUIRED SKILLS AND EXPERIENCE: - A track record of Staff-level technical leadership on complex customer-facing products or platforms, taking ambiguous initiatives from architecture through launch and production operation across multiple teams. - Strong hands-on engineering and system design skills, including API design, data modeling, distributed workflows, and thoughtful evolution of existing systems. - Experience building extensible third-party integrations and handling asynchronous events, duplicate requests, partial failures, and changing provider capabilities. - Strong product judgment: you can turn complex, multi-step workflows into simple user experiences and balance rapid delivery with correctness and long-term flexibility. - A security-conscious approach to authentication, authorization, credentials, sensitive data, and actions performed on a user’s or organization’s behalf. - Demonstrated ability to align engineering and cross-functional partners on technical direction, document decisions clearly, and drive execution without relying on reporting authority. - Experience mentoring engineers and improving the quality of architecture, implementation, and operations beyond your own projects. - Comfort using AI-assisted development tools while taking responsibility for the correctness, security, and maintainability of the code you ship. PREFERRED QUALIFICATIONS - Experience building commerce platforms, marketplaces, purchasing or procurement systems, or products that connect buyers with multiple vendors. - Experience with agent tool calling, multi-step agent workflows, or evaluations for reliable execution of actions against external systems. - Familiarity with payment and purchase lifecycles, including authorization, checkout, subscriptions, fulfillment or provisioning, refunds, and reconciliation. - Experience building enterprise capabilities such as approval workflows, role-based access, purchasing policies, budget controls, or audit trails. - Experience with Stripe or other payment providers, developer platforms, or partner integration ecosystems.   BONUS POINTS: - Experience with emerging agentic-commerce protocols, MCP, or delegated authorization for agent-initiated transactions. - Experience integrating software and service catalogs, pricing and availability, entitlements, or automated provisioning. - Familiarity with recurring and usage-based costs, renewal management, international purchasing, or multi-provider transaction workflows. - These are additional strengths, not a checklist; prior experience spanning every commerce domain or payment provider is not expected. WHAT WE VALUE: - Customer outcomes: success means a business can get what it needs through its agent, with clear costs and a verified result—not merely a completed API call. - User control and trust: agents act within explicit authority, surface consequential choices, and make purchases and ongoing commitments understandable. - Consumer simplicity and enterprise readiness: straightforward experiences should coexist with the controls organizations need. - End-to-end ownership: we own the experience from intent through purchase, fulfillment, and ongoing management. - Pragmatic technical leadership: we build on what exists, deliver incremental value, and invest in correctness and extensibility where they matter. - Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Keenable создает поисковую инфраструктуру для AI-агентов. Требования: — Опыт с distributed systems — Опыт с production infrastructure — Опыт с Rust Информация о компании: — Ко-фаундер — Андрей Стыскин, ex CEO Яндекс Поиск и ex Director of Web Information Services в Amazon — Размер команды — 11-50 — Инвестиции — $26M

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We're looking for a Staff Product Designer to lead design across the Content and Localization teams on our Build pillar. You’ll help shape Source by Webflow https://webflow.com/blog/introducing-source-by-webflow, our new platform where marketing teams and agents build and optimize digital experiences together. Source is where the hard work of web marketing happens: scaling what works, driving impact with every iteration, and keeping brand and content consistent as teams and agents move at speed. You'll own the Agentic CMS experience: a next-generation content layer that enables enterprise teams to manage content and deliver it across every site, channel, and AI agent they operate. This work spans the full content lifecycle, from authoring and governance to localization and publishing. This is a role for someone who thinks in systems, sweats the details, and gets excited about making complex content infrastructure feel simple — so marketers can move fast, agents can operate reliably, and every experience a brand ships stays coherent and on point. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent  - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States  (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $191,700 - $230,000 - Zone B: $180,000 - $216,000 - Zone C: $168,300 - $202,000 - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - 209,000 - 251,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.  Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Senior Director of Product Design As a Staff Product Designer you’ll …  - Own the Agentic CMS experience end-to-end, from early discovery and UX strategy through prototyping, detailed execution, and making sure what we ship is great. Define how enterprise marketing teams author, organize, govern, and publish content across multiple sites and channels — and how that experience holds together as a coherent system, from the visual authoring surface to publishing workflows to localization. - Design for both humans and agents. Build surfaces that work for marketing teams operating at scale and for AI agents querying and composing against structured content, with the right controls, transparency, and trust signals for each. - Think in systems. The CMS touches nearly everything Webflow's enterprise customers do. Hold a coherent experience model across interconnected surfaces while making individual flows feel simple and obvious. - Work upstream. Partner with PMs, engineers, and researchers to shape what gets built. Align on content models, API affordances, and product strategy before pixels get pushed. - Raise the bar — in craft, process, and how you use AI to move faster without sacrificing quality. Present work to cross-functional partners and senior leaders, and bring a point of view on how the CMS connects to the broader Webflow platform. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience - 7+ years of product design experience with a portfolio showing recent, substantive work navigating ambiguous problems within complex products. You know how to make something complex feel obvious to the people using it. Experience with content systems, multi-user workflows, and agentic experiences is especially relevant.  - Systems thinking at scale. You've designed for interconnected surfaces where decisions in one place ripple across others, and  - Comfort with technical depth. You can engage meaningfully with engineers on API design, data modeling, and content architecture to ensure design and systems decisions are aligned. - Strong interaction and visual design craft, with fluency in AI-assisted workflows — prototyping in code, using AI tools to explore and communicate ideas faster, and comfort working where the line between design and production is increasingly blurry. You’ll thrive as a Staff Product Designer if you: - Can hold a long-horizon systems problem and still ship focused, high-quality work in the near term. - Communicate with precision and can influence product strategy and present tradeoffs to senior stakeholders without losing the room. - Combine strong craft with the humility to test your assumptions early and often. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: 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. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Netherlands (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In the Netherlands, the OTE compensation range for this role is 137,000 EUR - 165,000 EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: 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. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In Sweden, the OTE compensation range for this role is 1,098,000 SEK - 1,320,000 SEK. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: 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. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In Germany, the OTE compensation range for this role is EUR 137,000 - EUR 164,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: 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. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In the UK, the OTE compensation range for this role is £130,000 - £155,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: England; Portugal; Spain; Italy; Ireland; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through: - Technical Selling and Deal Shaping - AI Governance and Security Thought leadership - Technical Champion Ownership and Thought Leadership - Customer and Internal Advocacy - Competitive and Strategic Selling This role suits people who like translating deep technical complexity into business clarity, who are comfortable being one of the first to help define a category, and who bring varied backgrounds and ways of thinking to how we solve customer problems. As a Staff Sales Engineer, you will be reporting to the Solutions Engineering leadership team and operate at the intersection of technical depth, business acumen, and competitive selling discipline. RESPONSIBILITIES Technical Selling and Deal Shaping Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand: - AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials) - Software supply chain risk posture - Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework) - Secure development lifecycle requirements Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity. Design, position, and execute structured PoCs/PoVs focused on: - Sandbox, network, and MCP tool policy enforcement - Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs) - Software supply chain visibility - Agent and MCP tool governance controls - Secure build pipelines Define clear success criteria, evaluation frameworks, and executive-ready value summaries. Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings. Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. AI Governance and Security Thought Leadership Establish credibility as a trusted advisor on: - Responsible AI development practices - Secure AI model lifecycle management - Software supply chain integrity (SLSA provenance, SBOMs, verified base images) - Container and artifact security - DevSecOps best practices Guide customers in implementing governance controls across AI-enabled SDLC workflows. Provide architectural guidance for: - Agentic AI development environments and runtime isolation (sandboxing) - Policy-as-code enforcement across agents, tools, and machines - MCP tool governance and allow-listing - Identity and access governance for AI workloads (IdP-based role and policy assignment) - Audit, logging, and SIEM visibility for agent activity Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements. Technical Champion Ownership and Thought Leadership - Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams. - Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. - Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. - Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions. Customer and Internal Advocacy - Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. - Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. - Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive and Strategic Selling - Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle. - Partner with Sales to develop technical win strategies for strategic and competitive accounts. QUALIFICATIONS We know strong candidates come from a range of paths, and that confidence gaps keep some excellent candidates from applying to roles like this. If you meet most of what's below and are excited about the rest, please apply. - Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales. - Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. - Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership. - Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. - Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. - Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred. - Familiarity with AI governance, secure software supply chain (SLSA, SBOMs), MCP or agentic tooling, and DevSecOps practices strongly preferred. - Must be fluent in English. - Excellent communication, influence, and stakeholder management skills. - Willingness to travel to customer sites up to 25%. WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program working with an onboarding peer. - You will learn how to navigate award-winning sales tools such as Salesforce, Opine, Sigma, and Docker. - You will actively engage with senior stakeholders and manage relationships with clients. - You will work closely with your peers and partner with SEs to develop strategies to advocate for our customers. - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. FIRST 60 DAYS - You will be laser-focused on supporting the sales teams during your second month. - You will have connected with all of your team members. - You will gain in-depth knowledge of Docker's products and how they impact our customers. - You will have an advanced understanding of tools, activities, and best practices to be successful in your role. FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself fully in our customers' business needs. - You will continue efforts to improve messaging, processes, and activities. - You will educate our clients about our product roadmap and undertake product training for users. - You will be ready to operate independently at full speed. Docker does not offer visa sponsorship for this role.   Compensation & Equity EU: €141,400– €202,000 OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're looking for a staff engineer to set technical direction for the systems that move billions of messages a day. This isn't a role about shipping more, faster. It's about deciding what gets built, where the architecture needs to go next, and raising the ceiling for the engineers around you. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership at company scale You take on the problems nobody has claimed yet — the ones that span squads, have no obvious owner, and would quietly cost us a year if left alone. You either solve them or get leadership aligned to. Engineers with product taste You think like a user, not just an engineer. You connect architectural decisions to what customers actually experience, and you can explain that connection to people who don't write Go. A healthy skepticism for "the way things are done" You retire practices that have outlived their usefulness, including ones you helped build. Best practices matter — but never more than forward motion. Force multiplication Your best quarter isn't measured by what you shipped. It's measured by what the department can now do that it couldn't before. What You'll Do Shape the technical direction of our distributed messaging systems in Go — making the high-level architectural calls on mission-critical services where scale, cost, and reliability are all in tension Take on ambiguous, high-stakes problems that cross squad and function boundaries, and drive them to a decision when the right answer isn't obvious to anyone yet Build consensus on contested technical questions across teams, and communicate the tradeoffs clearly enough that senior leadership can act on them Raise the department's bar — set quality and design standards, mentor senior engineers, and turn what you know into frameworks and documentation other teams can use without you in the room Drive engineering process and tooling improvements that span multiple squads, not just your own Participate in an on-call rotation as required, supporting the reliability of the systems you build Interview and calibrate against our career ladder, giving honest, evidence-based assessments of candidates Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output What we're looking for 10+ years building scalable, distributed systems in Go (or similar statically typed languages), including several as the person others turned to on architecture Depth across multiple systems or domains, not just one — you've been the recognized expert in more than one place A track record of designing for production reality: you quantify tradeoffs in throughput, cost, and reliability rather than picking a reasonable path and defending it Experience designing observability and recovery as first-class concerns — metrics, alerting, rollback, backpressure, checkpointing — not logging added afterward Comfort working in cloud-native environments (AWS, GCP), with relational databases (we use MySQL) and a real understanding of performance tradeoffs Evidence of making other engineers better: mentorship, technical writing, design review, standards that outlasted your involvement A bias for action over perfection, and the judgment to know which decisions are worth slowing down for Compensation & Benefits We believe in transparency. Starting salary for this role is $200,000 - $240,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. This role also carries a 10% annual bonus target. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. Architecture Interview (60 mins) - A collaborative system design conversation focused on scaling challenges, tradeoffs, and failure modes. Take-Home Assignment - Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) - Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone—apply now.

Location: Canada (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 position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Dublin, Dublin, Ireland, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Cloud Service Providers(CSPs): AWS, Azure and Google Cloud Kubernetes: Managed Kubernetes services (EKS, AKS and GKE) Continuous Integration tools: github actions, Buildkite Continuous Delivery: ArgoCd Databases: Postgres and all the major Databases Languages: Go, Java Scripts: Typescript, Python, Shell IaC: Terraform and Pulumi RESTful API: FastAPI Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud What You’ll Do As a member of the Site  Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For Expertise in managed Kubernetes (EKS, AKS, and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil. Bonus Skills​ 5+  years of  experience working with SaaS products at scale Experience with databases such as PostgreSQL #LI-IM1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.