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Location: San Francisco Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Sales Development Representatives generate top of funnel pipeline at Attio, running outbound campaigns and progressing prospects who've dropped out of the funnel, working closely with our Account Executive team to move qualified opportunities forward. This role is foundational to pipeline generation and one of the clearest paths into broader GTM roles at Attio over time.   WHAT YOU'LL DO - Run targeted, multi-channel outbound campaigns to generate net-new opportunities - Progress prospects who dropped out of the funnel, turning stalled interest back into pipeline - Coordinate with AEs to schedule meetings, share calendar context, and communicate early stage discovery - Work cross functionally with Marketing and RevOps to improve targeting and process over time - Own your outreach and prospect experience from first touch through AE handoff - Partner with sales leadership to develop efficient lead funnel processes using Attio WHAT WE'RE LOOKING FOR - We are particularly interested in hearing from candidates with: - A track record of owning outcomes and following through on commitments - A habit of grounding decisions in evidence and reasoning, particularly when prioritizing across competing demands - A genuine track record of seeking out feedback and acting on it - Communication that adapts to different audiences WHAT THE HIRING PROCESS LOOKS LIKE - Talent Introduction (~30 minutes) - Hiring Manager Interview (~30 minutes) - Take-Home Exercise - Take-Home Review with your Hiring Manager - Meet the Team: Two focused conversations with key stakeholders - Executive Leadership Conversation - Offer

Location: Spain; Romania; Hungary; Portugal; Slovakia; Brazil; Poland; Colombia; Mexico Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. Location: Fully remote. To create the best experience for you and to meet our business needs, this role requires you to be based either within EMEA or Americas. As a GTM Engineer you'll be the technical operator behind Oyster's revenue engine. You'll build, connect, and automate the software systems that drive pipeline. Turning high-level commercial strategy into workflows that run reliably, without anyone even touching them. Sitting in Revenue Operations, you'll work alongside GTM Teams. Our GTM stack spans a CRM, enrichment and data providers, outbound tooling, our marketing automation platform, the data warehouse, and Oyster's own product APIs. Your job is to make that a coherent system rather than a pile of disconnected tools: clean data flowing to the right place, leads scored and routed in seconds, and reps working from information they can trust. AI is a key part of the toolkit - you'll use it across the end-to-end funnel to automate and boost workflows, for things like prospect research at volume, personalisation, and buying-signal detection. Where a traditional ops hire would build a rules-based scoring model, you'll build an agent that reads a prospect's careers page, funding history, and hiring footprint and hands a rep a research brief worth acting on. The foundation is a strong combination of commercial processes, systems and data - that's where the work lives. CORE RESPONSIBILITIES - Design the architecture of the GTM stack: CRM objects and fields, lifecycle stages, territory and routing logic, sync patterns between systems, and the contracts between them. - Integrate systems end to end: CRM (Salesforce), enrichment providers (Clay, Zoominfo), outbound and sequencing platforms (Nooks, Salesloft), marketing automation (Hubspot), the data warehouse, and Oyster's product APIs (using APIs, webhooks, and scripts rather than waiting for a native connector) - Ship AI-driven GTM workflows - prompt chains, agents, and signal-detection pipelines that automate prospect research, personalised outreach, and real-time buying-signal alerts and more. - Optimise our commercial processes. It’s not only about installing Tech & AI, it is also about taking ownership and evolving the ways we generate revenue. - Build automated data waterfalls that pull, clean, deduplicate, and route prospect and account data into the CRM, so reps work from data they can trust. - Work in a system that's already live. Reverse-engineer existing processes and the reasoning behind them, identify what to keep versus replace, and land changes through a migration plan that keeps pipeline, reporting, and day-to-day selling intact throughout. - Instrument what you build: define the metric each workflow is supposed to move, measure it, and evaluate output quality so automations stay trustworthy as they scale. - Keep the stack maintainable and compliant - sensible data handling, monitoring and alerting on the pipelines or agents you build, documented workflows, and no single points of failure that live only in your head. - Partner with GTM to translate commercial goals into technical solutions, and be honest about which ideas are worth building. MINIMUM REQUIREMENTS - 5+ years in a GTM engineering, Revenue operations, growth engineering, or marketing/sales engineering role, or a software engineering background you've deliberately pointed at revenue problems. - Clear, proven examples of solutions you've implemented that drove measurable pipeline impact. We'll ask you to walk us through them: what you built, why, and what moved as a result. Specifics matter more than scale - Deep, hands-on knowledge of the modern GTM stack. You've architected a CRM rather than just administered one: navigating existing processes to own the re-configuration of objects and fields, lifecycle stages, routing and territory logic, and the sync patterns that keep multiple systems consistent. Salesforce or HubSpot, plus enrichment providers, outbound and sequencing tools, marketing automation, and platforms such as Clay. - You build custom integrations, and can wire up a tool nobody at the company has used before from the docs alone. - Experience owning production workflows: error handling, retries, idempotency, monitoring, and alerting. - Working experience using AI/LLMs in a GTM or automation context - prompt and context engineering, and strong judgement to know where a model beats a rule and where it doesn't - Commercial instinct. You understand funnel mechanics, conversion rates, and unit economics well enough to spot which automation is worth building and which is a distraction - A bias toward shipping. You prototype quickly, put things in front of real users, and iterate rather than designing in the abstract. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: United Kingdom Workplace: Remote We’re looking for a Senior Strategic Partner Development Manager to grow Coder’s International partner ecosystem across system integrators, value-added resellers, and distribution partners. You’ll build relationships that expand our reach, create new revenue opportunities, and make it easier for customers to adopt Coder. You’ll identify high-potential partners, shape joint go-to-market plans, and build strong relationships across sales, marketing, services, and executive teams. You’ll also work closely with Coder’s partner sales managers to turn partner strategy into field-level execution. WHAT YOU’LL DO HERE - Identify, engage, and onboard a portfolio of high-potential partners in your region. - Develop and execute joint business plans and go-to-market strategies that create revenue for both Coder and our partners. - Build and manage relationships with partner leadership across sales, marketing, professional services, and other key functions. - Lead executive QBRs, joint marketing programs, technical enablement, and other activities that deepen partner engagement. - Coordinate with Coder’s partner sales managers on field-level sales awareness and enablement campaigns. - Find new ways for partners and Coder to create value together. WHAT WE’RE LOOKING FOR You bring at least 10 years of experience across business development, partnerships, sales, or a combination of these areas. You’ve built partner relationships before, know how to navigate complex sales cycles, and can turn strategy into measurable results. - A quantifiable track record of meeting or exceeding business development goals and generating new business through partnerships. - Experience navigating complex sales processes, building consensus, and developing relationships across multiple levels of an organization. - Experience building and growing successful relationships with system integrators and value-added resellers. - The ability to move quickly and operate effectively in a startup environment. - A player-coach mindset: open to feedback, able to coach others, and comfortable working directly on the problem. - A willingness to step outside a narrow job scope when the business needs it. - Curiosity about technology and a habit of continuous learning. - Strong initiative and a clear sense of ownership for outcomes. - A consistent focus on finding practical ways to add value for Coder, our partners, and our customers. - Ability to travel up to 30% EXPLICIT EXPERIENCE: - Experience working within an organization in Coder’s space: developer tooling, DevOps, or cloud infrastructure software. - A successful track record working with growth-stage startups. BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience at a Developer Tooling, DevOps, or cloud infrastructure software provider - A successful track record with growth-stage startups ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Pune, India Workplace: Hybrid Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Go Developer to design and develop high-performance, secure, and reliable software components for enterprise-scale data collection and processing systems. You'll be building software that runs across Windows and macOS, processes high-frequency events, securely buffers and transmits data, and integrates with cloud-based data platforms — with production-grade engineering practices throughout. WHAT YOU'LL DO - Design, develop, and maintain high-performance applications and background services in Go, following clean architecture and production-grade engineering practices. - Build multi-threaded and concurrent processing components using goroutines, channels, synchronization primitives, worker pools, and efficient memory-management techniques. - Develop reliable event collection, processing, batching, compression, serialization, and transmission mechanisms for high-volume telemetry and event data. - Implement robust local persistence and encrypted buffering — supporting offline operation, checkpointing, retry queues, recovery, and protection against data loss. - Develop secure integrations with cloud platforms and data services using REST APIs, HTTPS, SDKs, and other integration mechanisms. - Implement enterprise-grade authentication and security mechanisms, including RSA key-pair authentication, JWT/OAuth, TLS, certificate validation, encryption, and secure credential handling. - Design resilient distributed-client behavior — idempotency, duplicate prevention, exponential-backoff retries, acknowledgement handling, failure recovery, rate limiting, and network resilience. - Develop efficient data-processing capabilities across formats such as JSON, Parquet, and Protocol Buffers. - Optimize applications for CPU, memory, disk I/O, network utilization, startup time, and long-running stability using Go profiling and diagnostic tools. - Develop and support cross-platform software for Windows and macOS, including interaction with OS APIs, system services, file systems, networking, and OS-native security facilities. - Build comprehensive unit, integration, performance, stress, resilience, and security tests. - Implement production-grade logging, metrics, health monitoring, diagnostics, and telemetry — ensuring sensitive information is never exposed through operational logs. - Contribute to application packaging, versioning, configuration management, automated deployment, upgrade, rollback, and enterprise software-distribution strategies. - Provide senior-level technical leadership through architecture discussions, design reviews, code reviews, troubleshooting, and mentoring. REQUIRED SKILLS & EXPERIENCE - 7+ years of software development experience with strong hands-on expertise in Golang. - Advanced knowledge of Go concurrency — goroutines, channels, mutexes, contexts, synchronization, and worker-pool patterns. - Strong understanding of data structures, algorithms, memory management, and performance optimization. - Experience building long-running services, agents, system utilities, telemetry applications, or distributed client applications. - Strong experience with REST APIs, HTTPS, TLS, JSON, authentication, and secure API integration. - Experience implementing RSA/public-key cryptography, JWT/OAuth, certificate-based authentication, and secure credential management. - Experience with local persistence, caching, queueing, batching, compression, retry, and failure-recovery patterns. - Knowledge of Parquet or similar columnar/binary data formats and high-volume data-processing patterns. - Strong experience with unit testing, integration testing, mocking, profiling, debugging, and performance testing in Go. - Good understanding of CI/CD, Git, code-quality tooling, dependency management, vulnerability scanning, and secure SDLC practices. PREFERRED QUALIFICATIONS - Experience with Snowflake or comparable cloud data platforms and cloud SDK integration. - Experience with Windows and/or macOS system programming, enterprise endpoint software, or large-scale telemetry systems. - Familiarity with C/C++ or .NET interoperability, Windows APIs, macOS APIs, or OS-level encryption and key stores. - Experience with MSI/MSIX packaging and enterprise device-management platforms. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: EMEA; United States; Ireland; United Kingdom; Brazil; Canada; Mexico ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. Location: Fully remote. To create the best experience for you and to meet our business needs, this role requires you to be based within the EMEA or AMER regions. You’ll join Oyster as a Senior AI Solutions Engineer: Go-to-Market, reporting to the AI Director and partnering closely with GTM leadership. Your mandate goes beyond automating individual tasks. You’ll help make Sales, Marketing, Customer Success, Partnerships, and Revenue Operations AI native. This means rethinking how people work with AI, where agents can take on operational work, and where human judgement creates the most value to build a more effective AI enabled GTM organization. You’ll be part of a connected group of Senior AI Solutions Engineers transforming different departments across Oyster. Together, you’ll establish shared standards, reuse successful approaches, and ensure Oyster’s AI transformation is coordinated rather than siloed. This is a senior, hands on role. You’ll independently identify high value opportunities, decide where AI should and should not be used, and lead complex solutions from discovery through adoption and measurable business impact.   CORE RESPONSIBILITIES Make GTM AI native Reimagine how GTM teams work with AI. Move teams from manually operating tools and workflows toward humans orchestrating AI powered ways of working, with human judgement where it matters. Shape the AI roadmap Partner with GTM leaders to identify, prioritize, and frame high impact transformation opportunities. Lead solutions from start to finish Own complex initiatives from an ambiguous problem through design, build, deployment, adoption, and improvement. Build best in class AI agents and solutions Design, build, test, and continuously improve reliable AI agents, agentic workflows, automations, and integrations using LLMs, orchestration platforms, APIs, tools, and enterprise data sources. Apply sound judgement Balance value, feasibility, risk, data quality, maintainability, and human oversight. Recognize when AI is not the right solution. Drive AI adoption and self sufficiency Partner with GTM leaders, managers, and champions to embed AI into everyday work. Help teams move beyond consuming AI outputs toward confidently creating reusable prompts, workflows, and AI powered ways of working. Own solutions beyond launch Measure adoption, quality, reliability, and business impact after release. Continuously improve solutions based on real usage and outcomes rather than treating launch as completion. Connect the organization and raise capability Build trust with GTM leadership, share reusable patterns with AI Solutions Engineers supporting other departments, mentor colleagues, and help teams develop the skills and confidence to operate effectively in an AI enabled environment.   MINIMUM REQUIREMENTS - 3+ years of hands on AI and automation experience, supported by broader experience delivering complex solutions in GTM Engineering, Solutions Engineering, Revenue Operations, systems integration, or a related field. - A track record of redesigning workflows or operating models, rather than only automating isolated tasks. - Experience independently leading complex, cross functional initiatives from an ambiguous problem to measurable business impact. - Strong automation capability using tools such as n8n, Zapier, Make, or comparable orchestration technologies. - Strong hands on experience designing, building, deploying, and improving production AI agents and agentic workflows using LLMs, APIs, tools, and enterprise data. - Strong understanding of B2B GTM operations across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. - Experience integrating business systems through APIs, webhooks, and authentication mechanisms. - Strong judgement about where AI can create value, where processes need deeper redesign, and where automation should not be used. - Ability to influence functional leaders, challenge assumptions constructively, and align technical and nontechnical stakeholders. - A track record of mentoring others, sharing expertise, and raising standards across a team.   BONUS EXPERIENCE - Experience with Salesforce, HubSpot, Gong, Clay, or similar GTM platforms. - JavaScript, Python, or SQL experience. - Familiarity with RAG, MCP, AI evaluation, observability, governance, or security controls. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

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

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In Sweden, the OTE compensation range for this role is 1,098,000 SEK - 1,320,000 SEK. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In Germany, the OTE compensation range for this role is EUR 137,000 - EUR 164,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In the UK, the OTE compensation range for this role is £130,000 - £155,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Lithuania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Commercial attorney to join our Legal team. Vercel's deal volume keeps climbing as the company grows, and we need someone who can close deals and build the systems that let the team close more of them, faster. You'll partner with Sales, Partnerships, Procurement, and other cross-functional teams to negotiate contracts with customers, vendors, and partners. Beyond managing a busy deal pipeline, you'll use AI tools to improve processes, playbooks, and programs that boost efficiency and deal velocity as we scale. Depending on interest, you may also work on product development or other projects outside Commercial Legal. You'll report to the Senior Director of Legal, Commercial, and be based in San Francisco with a 3-day/week in-office requirement. What you'll do Serve as the primary Legal contact for go-to-market and procurement deals, giving clear, practical advice to the teams involved Independently manage and negotiate commercial agreements, including customer, vendor, partnership, and reseller deals Partner with cross-functional teams to build and improve contracting processes, playbooks, and tools, using AI to speed up deals and keep them consistent as we scale Draft and maintain agreement templates, playbooks, and fallback positions Advise on Vercel's regional expansion strategy Contribute to other Legal work as needed, including supporting commercial deals in EMEA and APAC, or product, privacy, or security initiatives What you need Qualified and in good standing in California or another US jurisdiction 6+ years of legal experience, including 2+ years in-house commercial experience at a technology company (ideally AI, SaaS, PaaS, or IaaS) Familiar with US privacy regulations and comfortable discussing privacy issues with customers Strong understanding of AI and cloud services and their global regulatory landscape, with a willingness to dig into Vercel's product offerings as they evolve Experience using AI to build tools, workflows, and processes Excellent judgment, strong risk assessment, and the ability to make pragmatic calls with imperfect information Clear, concise communicator who can explain complex issues in plain language to a range of stakeholders Proven ability to independently negotiate technology agreements with enterprise customers and vendors Collaborative, low-ego team member willing to take on work of varying scope and visibility Track record of building or meaningfully improving programs and processes at fast-paced, high-growth companies Bonus if you have: Used Vercel's products and services Experience supporting channel and reseller partnerships Fluency in other languages Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $207,000 - $253,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: London, United Kingdom 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: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. This role will be based in London, UK. 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 the commercial performance of your team across new logo ARR, expansion ARR, and UBP outcomes—accountable for both the headline numbers and the quality of execution that drives them - Coach SCs on the GTM builder motion: what great looks like in a first meeting (workflow diagnosis, current → future architecture), a second meeting (live build in Notion + value narrative), and through the full cycle to adoption hand-off - Contribute to and participate in the regional operating cadence: weekly pipeline reviews, deal support sessions, call reviews against the motion quality rubric, and forecast calls with senior leadership - Hire, onboard, and certify new SCs to the GTM builder motion—driving readiness from ramp through consistent execution, and managing performance with clarity when expectations aren't met - Partner with the regional BDR manager on pipeline strategy, outbound targeting, and qualification standards to ensure the team's book of business is healthy and growing - Partner with Outcomes leadership on adoption hand-offs, at-risk account management, and renewal strategy—owning the overall commercial arc for the region while collaborating on the execution that follows close - Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down SKILLS YOU'LL NEED TO BRING: - Track record as a quota-carrying B2B seller with direct experience in workflow design, live demos, or technical sales—you can coach the builder motion because you've run it yourself - Frontline sales management experience: built an operating cadence, ran performance management, and developed talent from onboarding through consistent overperformance - Strong coaching orientation: you can watch a demo or deal review and identify specifically what to change—not just whether the outcome was good, but why, and what the rep should do differently next time - Commercial instincts at the team level: able to read pipeline health, identify risk early, and drive urgency across a team without micromanaging individual deals - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience selling or managing in a consumption or usage-based business where adoption signals matter as much as closed ARR - Track record building high-performing regional teams from an early stage: hiring to profile, structured onboarding, certification, and performance management 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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is £294,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #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.

Задачи: — Проводить security review AI/LLM-решений: LLM-приложений, AI-агентов, RAG, векторных БД, интеграций с внешними API и облачными LLM; — Участвовать в threat modeling AI-решений: prompt injection, jailbreak, утечки данных, небезопасные tool calls, избыточные привилегии AI-агента, RAG/data poisoning; — Проверять наличие и корректность защитных механизмов: guardrails, фильтры персональных данных, ограничения длины prompt/response, rate limiting, валидация ответов, контроль вызовов tools; — Оценивать безопасность работы с данными: персональные данные, конфиденциальная информация, источники данных для RAG, embeddings, индексы векторных БД; — Проверять, что AI-агенты работают по принципу минимально необходимых привилегий и не выполняют чувствительные операции без ручного подтверждения; — Проверять изоляцию пользовательских сессий, контекстов и памяти AI-решений; — Участвовать в проверке безопасности локального запуска LLM в Kubernetes: контейнеры, RBAC, secrets, network policies, ingress, resource limits; — Формировать требования к логированию, аудиту и трассировке AI-решений: trace ID, логи prompt/response, вызовы модели, вызовы tools, действия AI-агента; — Разрабатывать тестовые сценарии для проверки AI-решений на prompt injection, утечки данных, обход ограничений и небезопасное поведение агента; — Помогать командам разработки и эксплуатации безопасно использовать локальные и облачные LLM. Требования: — Опыт в кибербезопасности от 2–3 лет в одной или нескольких областях: Application Security, DevSecOps, Cloud Security, Kubernetes Security, API Security, Product Security; — Понимание принципов security review, threat modeling и безопасной разработки; — Понимание web/API-безопасности: аутентификация, авторизация, OAuth2/OIDC, SAML, JWT, RBAC, service-to-service-взаимодействие; — Базовое понимание AI/LLM-стека: LLM, prompt, system prompt, context window, embeddings, RAG, vector database, AI-agent, agent memory, tools/function calling; — Понимание основных рисков LLM-приложений: prompt injection, indirect prompt injection, jailbreak, утечка чувствительных данных, раскрытие system prompt, небезопасная обработка ответа модели, excessive agency; — Понимание особенностей безопасности RAG и векторных БД: например, Milvus, Qdrant, Weaviate, pgvector, Chroma, Elasticsearch/OpenSearch vector search; — Понимание рисков работы с персональными и конфиденциальными данными при использовании локальных и облачных LLM; — Базовое понимание Kubernetes и контейнерной безопасности: secrets, service account, RBAC, network policy, resource limits; — Умение формулировать понятные и проверяемые требования безопасности для продуктовых команд. Что мы ищем в кандидатах: — Опыт security review AI/LLM, RAG, чат-ботов, AI-ассистентов или агентских решений; — Знакомство с OWASP Top 10 for LLM Applications, OWASP Agentic AI Threats, MITRE ATLAS, NIST AI RMF; — Понимание безопасности agent tools/function calling: allowlist tools, схемы входных параметров, контроль прав, human-in-the-loop; — Опыт работы с SIEM/security logging: проектирование событий безопасности, аудит действий, расследование инцидентов; — Понимание подходов к безопасному исполнению кода, сгенерированного моделью: sandbox, изоляция контейнеров, запрет доступа к secrets, ограничения сети и ресурсов; — Базовые навыки Python, работы с JSON/YAML, API-тестирования или автоматизации security checks. Будет плюсом: — Опыт с OpenAI/Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic или другими LLM-провайдерами; — Опыт с локальными open-source LLM и inference-сервисами; — Опыт настройки или проверки guardrails, фильтров персональных данных, DLP-подходов, content moderation; — Опыт участия в AI red teaming или разработке тестов на prompt injection и data leakage. Условия: — Формат: Гибридный (от 2-х дней в неделю, м. Технопарк); — Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); — Условия ипотечного кредитования от Сбербанка; — Индивидуальный план развития; — Английский язык с корпоративным преподавателем и скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; — Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; — Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located on the West Coast 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA 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 People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work — building the foundational infrastructure across recruiting, global rewards, performance, and AI upskilling that empowers our team to achieve our mission. We treat the employee lifecycle as a product: modular, intentional, designed for high-velocity iteration. We dogfood our own platform to automate the mundane and keep the team focused on the high-judgment work that matters. ABOUT THE ROLE Our People Operations team is globally distributed. This role is our West Coast presence — the person on the ground in SF and the anchor for People Ops during US hours. This is a logistics, compliance, and hospitality role simultaneously. A new hire's first week is a product we're responsible for, and you own it. You’re the often face of HR to employees, and are focused on solving problems for our users (employees) in a high craft, maximum agency way. The systems here are still being built, and you have an opportunity to help influence how we set up the infrastructure to scale. We’re here to build something great, and you play a key role in making that happen through the foundations of people operations. Location/City: San Francisco, CA — in office 5 days per week. WHAT YOU'LL DO - Own onboarding end-to-end. Run pre-boarding — documentation, account setup, background checks, and the data handoffs to IT, Payroll, and Workplace — so nothing reaches a new hire half-finished. - Run cohort day. Facilitate our twice-monthly in-person onboarding cohorts in SF, including everything from compliance to the employee experience. - Drive the first 90 days support structure. Run the system behind 45/90 check-in cadence, buddy program, and the onboarding survey, including closing the loop on what it tells us. - Be the front line during US hours. Serve as the first stop for employee questions: resolve what you can, route what you can't, and drive ongoing documentation in our knowledge base so it doesn't get asked twice. - Build the process, don't just run it. Write and maintain the onboarding SOPs, close the parity gap between in-office and remote onboarding, and build distinct paths for rehires and international hires. - Automate your own work. Use AI to take the repetitive load off this function — status chasing, packet assembly, provisioning checklists, survey synthesis — and use ticket volume to find what keeps breaking. WHAT YOU'LL BRING - Experience: 2–5 years in people operations, HR coordination, or onboarding at a high-growth tech company, with hands-on HRIS experience (Rippling preferred). - Compliance Fluency: Working knowledge of I-9 and employment eligibility verification, including the retention and audit requirements — plus the follow-through that casework rewards. Documents move on deadline, and you are never the reason something sits. - Documentation-First Instincts: Your processes are written down, current, and usable by someone else. You turn a repeat question into a knowledge base article instead of answering it twice. - AI Fluency: You already use tools to increase your leverage, and you reach for automation instinctively rather than as an afterthought. - White-Glove Judgment: A new hire's first day is a moment that matters and you treat it that way. You handle compensation, immigration, and personal data with discretion. - Resilient Ownership: You're comfortable on a globally distributed team and in a fast paced, build environment. When equipment doesn't arrive or a start date moves, you're calm and already solving it. - Operating Principles: You exemplify our operating principles https://www.langchain.com/careers. NICE TO HAVE - Experience standing up or rebuilding an onboarding program, not just running an existing one - Immigration or visa coordination experience (H-1B, PERM, TN, or equivalent) - Global onboarding exposure - Experience with LangSmith, Claude, or a similar tools Annual salary range: $100,000 – $110,000 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: Toronto; San Francisco; Canada; United States; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: - Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure - Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption - Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity - Tool Integration: Pulling in new tools to enhance North's security capabilities - DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC - Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner You may be a good fit if: - Have 5+ years building user-facing security features in production systems - Ship production Python confidently and frequently - Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually - Have hands-on experience with Kubernetes in both development and production environments - Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments - Are comfortable working across the stack - Communicate security concepts clearly to non-security engineers and stakeholders - Thrive in fast-moving environments where priorities evolve - Experience working with AI/ML systems or LLM-based applications FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.