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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 opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . 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 .

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Location: 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're looking for a People Operations Generalist to join our growing People team. You'll touch the employee lifecycle end-to-end — from offer acceptance through offboarding — while helping to build the processes and documentation that let our People function scale with the business. This is a great fit for a highly organized, systems-oriented people person who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. WHAT YOU’LL DO: - Own and continuously improve the new hire onboarding experience, ensuring employees are set up for success and internal tasks are tracked and completed on time. - Serve as a first point of contact for employee questions across the full HR spectrum, triaging and routing more complex issues to the right People team member or external partner. - Maintain and improve self-service resources (FAQs, Notion pages, etc.) so employees can find what they need quickly — and always feel supported even when no one's in the room. - Support rollouts of new People programs and policies, including communication planning, manager enablement, and documentation. - Help bring employee experience programs and events to life, from team offsites to milestone recognition, that reinforce culture and make people feel valued. - Process employee changes (promotions, equity refreshes) accurately and on time, including preparing updated employment letters and maintaining compliant employee files. REQUIREMENTS: - 2+ years of People Operations experience, preferably at a high-growth startup. - Demonstrated ability to build and document HR processes from the ground up, not just execute existing ones. - Strong written communication: you write clearly, keep things simple, and know your audience. - Experience managing employee data with accuracy and discretion. - Comfortable handling competing priorities without losing track of the details.

Location: Remote, Germany, 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 seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team. Contribute to open-source projects such as DuckDB and Polaris. Embrace Fivetran innovations with open-source standards and toolsets. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. Set technical directions and influence cross-functional teams. Skills We’re Looking For 6+ years of hands-on or research experience with high-performance relational data management systems. Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements. Proven track record of leading and delivering large and complicated projects. Strong development skills in Java and C++. Solid experience with public clouds (AWS, Azure, GCP). Demonstrated knowledge of columnar storage formats. Growth mindset and excitement about breaking the status quo by seeking innovative solutions. Excellent team player who is consistent in making everyone around you better. Bonus Skills Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines. #LI-IM1 #LI-REMOTE 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.

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

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Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted. - Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them. - Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on. - Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck. - Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it. - Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable. SKILLS YOU'LL NEED TO BRING: - Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports. - Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust. - Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions. - Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions. - AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles. - Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Toronto, Ontario, Canada 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 At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. IN THIS ROLE YOU WILL Master the Sentry Ecosystem & Support Elite Developers - Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. - Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. - Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. - Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes. Engineer Agentic Operations (The Scaling Engine) - Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions. - Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely. - Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously. - The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine." YOU’LL LOVE THIS JOB IF - You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort. - You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon - You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next. - You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem. QUALIFICATIONS - 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems. - Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories. - Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database. - AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention. - Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI. BONUS QUALIFICATIONS - Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries. - Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. 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: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform. About the role LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City. What you'll do - Lead projects across our stack (React, TypeScript) while working with backend APIs (Python, Go) - Build polished, responsive user interfaces for onboarding, self-serve upgrades, and usage dashboards that delight users - Design and execute rapid, client-side UI experiments (A/B tests, feature flags) targeting key activation and conversion metrics - Partner with Product and Design to translate complex user journeys into simple, intuitive web experiences - Implement clean client-side event tracking and behavioral analytics to understand developer journeys - Build growth levers, including smart upgrade triggers, usage notifications and personalized, contextual experiences What you'll bring - Strong mastery of modern frontend development (React, TypeScript, CSS/Tailwind) - Solid fullstack fundamentals (working with REST/GraphQL APIs, Python/Go backends, database querying and caching) - Exceptional UX intuition and a sharp eye for visual polish, micro-interactions, and developer-focused user journeys - Experience building or optimizing frontend growth engines (e.g., onboarding wizards, conversion funnels, checkout flows, A/B testing frameworks, usage metering, subscriptions) - Startup DNA with a desire to ship fast, iterate based on user data, self-directed and take end-to-end ownership - Bonus: Experience building tools for developers, PLG SaaS platforms, or design systems - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks Compensation - Salary Range: $165,000-$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Office Based - Taipei, Taiwan Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, “the world’s best free software platform”. The Commercial Engineering Quality Assurance (QA) team works with all the engineering teams in Canonical, OEM and ODM customers, to bring Ubuntu directly to millions of users by delivering certified Ubuntu laptop, desktop, IoT and other computing devices. As a Software QA engineer, you will join the team responsible for our strategy for quality coordination and testing. You will be a quality expert with extensive experience establishing quality processes from the ground up. You will understand the tools and techniques used to introduce new products, and will work with teams across the company to drive quality improvements through the entire development cycle. As a Software Quality Assurance Engineer you will: Plan, create and manage the overall Quality Planning strategy and document Improve our automated test capability with design and code contributions Perform automated and manual testing of Ubuntu Desktop, Server and Core on varies latest hardware. Suggest solutions to identified product problems Collaborate with the Project team to ensure consistent project execution Identify quality assurance process bottleneck and suggest improvements Oversee continuous improvement projects Collect quality data Establish proactive measures to improve the quality and reliability of the Ubuntu platform Prepare time estimates and schedule for testing activities Identify, isolate, and document bugs clearly and concisely in the bugs database Work with development teams across multiple projects to build efficient, effective automated testing Communicate effectively with colleagues in a variety of time zones around the world Triage test reports and customer bugs The successful Software Quality Assurance Engineer will have : Experience with the Linux desktop, and related technologies. Ubuntu experience would be a plus Solid grasp of commercial Software QA practices and ideas on how to integrate them into Linux Community standards Experience with common scripting languages, including Shell script, Python or JavaScript Comfortable with online communication and collaboration such as mailing lists, Mattermost, wiki Excellent logic, problem solving, and troubleshooting skills Strong written and spoken communication skills in English Ability to be productive in a globally distributed team Ability to pick up new technologies and achieve high effectiveness quickly What Canonical Offers: Learning and development Annual compensation review Recognition rewards Annual leave Priority Pass for travel Annual health check Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the open-source Postgres development platform that 10M+ developers and thousands of enterprises depend on every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search all run on one platform: the same compute https://supabase.com/docs/guides/platform/compute-add-ons, the same disks https://supabase.com/docs/guides/platform/database-size, the same network and control plane, in every region we operate. Supabase's hardest problems live in that platform. Millions of databases, growth that compounds every quarter, and a customer base running from a developer on a free project to a regulated enterprise routing traffic through PrivateLink https://supabase.com/docs/guides/platform/privatelink. Reliability, capacity, cost and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them. ABOUT THE ROLE You own the platform primitives every Supabase product runs on: compute, disks, networking, the API gateway, capacity and regions. You own the enterprise surfaces built on top of them too, including read replicas https://supabase.com/docs/guides/platform/read-replicas, custom domains https://supabase.com/docs/guides/platform/custom-domains, PrivateLink and Bring Your Own Cloud. You report to the Head of Product and set direction for the whole area alongside the leads for our other product lines. You're the only product person on the platform today, and the team grows under you as the area does. WHAT YOU'LL BE RESPONSIBLE FOR: - You talk to customers across the full spectrum. Developers running a single small project, growing startups whose bill is mostly compute and disk, enterprises walking through a network architecture review, and partners building on top of Supabase. - You own the problem statement and requirements behind every platform bet. You define what we're building and why before engineering starts, name the cost, capacity and reliability constraints, and keep that clarity current through execution. - You decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and net-new capabilities that change what Supabase can run. The priorities are yours, and so is defending them. - You own reliability as a product surface. You set service levels that track what customers experience, hold teams to them, and show customers what it takes to run millions of databases. - You define how each launch is measured before it ships. The metric, the threshold and the read afterwards are yours: whether a launch moved enterprise deal velocity, project economics, or platform reliability. - You keep engineering, design and leadership aligned. The platform touches every other Supabase product, every region and every customer tier. You write down what's coming, why, and in what order, and you surface dependencies before they become blockers. YOU MIGHT BE A GOOD FIT IF YOU: - Have 8+ years of product management experience on developer tools, or are an ex-founder who has built in this space. You're technical enough to read an architecture doc and follow a design discussion. - Have shipped cloud infrastructure as a product. You've owned at least one of compute, networking, storage, or multi-region and multi-tenant systems at a cloud, infrastructure or PaaS company, as the owner rather than a neighbouring team. You can judge the tradeoffs: instance sizing and capacity, disk and storage economics, scale-to-zero versus always-on, single-tenant versus shared, and the distance between "works in one region" and "works in twenty." Familiarity with how enterprises buy infrastructure (PrivateLink, BYOC, procurement) is a bonus. - Have grown with an infrastructure product. You've owned infrastructure small enough to hold in your head, and stayed with it until capacity, regions and cost became the real constraints. - Are biased toward speed. You'd rather ship something imperfect and learn from it. - Build with what you own. You stand up a read replica, put a custom domain in front of a project, terminate traffic through PrivateLink, deploy onto BYOC. You develop opinions through first-hand use. - Use AI to move faster. You lean on AI for the slow parts of the job (research, drafting, synthesising feedback) so you spend more time on judgment calls. - Work async by default. We're fully remote. You make decisions in writing and move work forward without meetings. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas. As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success. WHAT YOU’LL DO At Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to: - Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers. - Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal. - Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy. - Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts. - Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones. You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility: PRE-SALES DISCOVERY: - Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success. - Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team. - Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform. PROOF-OF-VALUE ONBOARDING - Support your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding. - Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate. - Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers. CUSTOMER SUCCESS & EXPANSION - Help your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities. - Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads. - Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product & Eng, and communicate roadmap milestones back to customers. TRUST & PLATFORM ADVOCACY - Coach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise. - Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build. PREFERRED EXPERIENCE - 6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering. - 2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment. - Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance. - Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js. - Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike. - Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams. - Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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 looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. 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 paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling 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 looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. 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 paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling 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: Remote, Germany, 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 talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based in Germany, with preference for Munich. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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.

Location: Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform delivers a fully managed, multi-cloud Postgres service designed for the most demanding production workloads. We handle the complexity of provisioning, scaling, replication, and failover - so engineering teams can focus on building their products. Our customers entrust us with their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Postgres engineering team and help us build a world-class managed Postgres offering. What's the job to be done? You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. You will work directly with customers to understand their workloads and translate real-world needs into platform improvements. These attributes best describe you… You have strong experience building, operating, or maintaining large-scale Postgres deployments in production. You have an excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, and performance. You have strong fundamental computer science skills and can reason about distributed, fault-tolerant systems. You thrive in a collaborative environment, enjoy mentoring other engineers, and communicate complex technical tradeoffs clearly. You are self-motivated and can work independently with minimal guidance while making sound technical decisions. What you will need 5+ years of software engineering experience designing, building, and supporting large-scale systems in production. Strong proficiency in Go, with experience in other languages like Ruby, Python, Zig or Rust. Experience building and maintaining distributed, fault-tolerant services. Working knowledge of Kubernetes and containerized applications. Experience building and operating distributed systems at scale. What else will help you be successful Experience building or operating a database-as-a-service or managed database platform. Experience with connection pooling and proxy layers for Postgres. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code. Contributions to open-source projects, especially in the Postgres or database infrastructure space. Experience working with remote, geographically distributed teams. Previous experience at a high-growth technology company. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $290,000 USD

Location: Stockholm 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’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. WHO YOU ARE: We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact. REQUIREMENTS: - At least 10 years of industry experience, including 3 years experience in a leadership role - Experience building high-performance distributed systems at a large scale - Strong background in cloud infrastructure - Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - Proficient in systems-level languages such as Rust, C, C++, or Java

175 000 – 250 000 $

Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for an engineer to drive the evolution of OrioleDB https://www.orioledb.com and its collaboration with the upstream PostgreSQL community. OrioleDB is a next-generation storage engine for PostgreSQL, and this role sits at the intersection of database internals, open source community work, and Supabase's managed Postgres platform. This role requires strong working overlap with Americas time zones due to production support and on-call responsibilities. What you'll work on - New OrioleDB features. Design and implement new capabilities in OrioleDB — for example, native index access methods (GiST, GIN, HNSW for pgvector), disaster recovery tooling, and other storage-engine-level features that expand what OrioleDB can do. - Stability. Strengthen OrioleDB's reliability through deeper test coverage, fault injection, crash and recovery testing, and improvements to CI infrastructure. Ensure regressions are caught early and that OrioleDB behaves predictably under stress, replication, and failure scenarios. - Upstream collaboration. Contribute changes directly to PostgreSQL core. Part of OrioleDB lives as a patch on top of PostgreSQL — moving the right pieces upstream shrinks what we maintain ourselves and benefits the wider community. This happens through PostgreSQL's open development process: the pgsql-hackers mailing list, public code review, and commitfests. - Supabase integration. Work with Supabase's Postgres team to ensure OrioleDB fits naturally into Supabase's managed offering and roadmap. YOU WILL: - Design, implement, and test new OrioleDB features and integrate them cleanly with PostgreSQL's planner, executor, and surrounding subsystems. - Build out and maintain test infrastructure: regression suites, fuzzing, randomized testing, crash and recovery testing, and CI pipelines. - Identify and prepare patches suitable for upstreaming to PostgreSQL core. - Improve performance, resilience, monitoring, and operational tooling for production use. - Debug and resolve complex issues in low-level C code, including in storage, replication, indexing, and query execution paths. - Participate in design discussions, architecture reviews, and code reviews — both inside Supabase and in the PostgreSQL community. - Write clear technical documentation, design notes, and upstream proposals. - Contribute to troubleshooting, analyzing, supporting and maintaining OrioleDB in production deployments. This can include answering support ticket requests, an on-call rotation, and supporting our team members in troubleshooting and fixing live customer production databases. YOU ARE: - An existing PostgreSQL core contributor or have equivalent experience in Database internals. - An expert C programmer with 8+ years of production experience with focus on low-level systems programming - Deeply familiar with PostgreSQL’s codebase, build system, and extension APIs. - Have experience designing or implementing database storage engines, index structures, or query execution components. - Comfortable contributing to community‑driven, upstream open source projects. - Proficient in debugging and profiling complex C code in a database context. - Able to write clear technical documentation and explain design trade‑offs. - A strong communicator, committed to an open and collaborative development process. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York 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're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary https://modal.com/gpu-glossary and LLM Engine Advisor https://modal.com/llm-almanac/advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. IN THIS ROLE YOU WILL: - Own and evolve Modal's marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content. - Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents. - Own Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation. - Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable. REQUIREMENTS: - Evidence of building and shipping modern web applications end-to-end. We care more about what you've built than years of experience. - Experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal. - You can build polished, responsive web experiences without needing every detail specified. - Business-owner mindset with strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement and tradeoff inherent to each. - Excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers. - Ability to work in-person in our NYC office. NICE TO HAVE: - Deep knowledge of SEO, AEO, structured content, or agentic discoverability. - Experience with marketing sites, docs sites, or product-led-growth surfaces at a dev tools / infra / AI company. - Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest. - Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, Ashby. - Experience designing growth experiments, A/B tests, or funnel instrumentation. - A portfolio of polished sites, docs systems, interactive demos, or growth experiments.

Location: Bengaluru, Karnataka, India, APAC 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 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 and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of 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. Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL What You’ll Do 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-prioritize 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 9+  years of  experience working with SaaS products at scale. Working knowledge of 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) # LI-HYBRID #LI-AV1 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.