Задачи:
— Разработка и утверждение целостной архитектурной концепции платформы
— Проектирование высоконагруженных микросервисов на Go
— Определение протоколов взаимодействия между сервисами (gRPC, REST, Kafka) и создание четких API-контрактов (OpenAPI, Protobuf)
— Разработка стратегии миграции существующих Python-компонентов на Go с обеспечением бесшовного перехода и обратной совместимости
— Написание высокопроизводительного, чистого и поддерживаемого кода на Go
— Реализация конкурентных паттернов (горутины, каналы, worker pools) для эффективной утилизации ресурсов и обработки пиковых нагрузок
— Интеграция с системами хранения данных (PostgreSQL, ClickHouse) и брокерами сообщений (Kafka, Redis)
— Обеспечение observability сервисов: внедрение метрик (Prometheus), логирования, трейсинга (Jaeger/OpenTelemetry)
Требования:
— 5+ лет коммерческой разработки распределенных и высоконагруженных систем
— 3+ года коммерческого опыта разработки на Python и Go в production-среде
— Опыт разработки модулей для Nginx/Angie будет значительным преимуществом
— Знание принципов работы Linux (системные вызовы, файловая система, сетевой стек, управление процессами)
— Понимание сетевых протоколов (TCP/IP, HTTP/2/3, gRPC, QUIC, TLS) и умение диагностировать сетевые проблемы
— Высшее образование (магистратура/специалитет) в области компьютерных наук, прикладной математики, программной инженерии или смежных дисциплин
Задачи:
— Разработка coordinator API.
— Реализация жизненного цикла CoinJoin-сессий.
— Управление состоянием участников и раундов.
— Разработка очередей и фоновых процессов.
— Интеграция backend-сервисов с Bitcoin-нодами.
— Реализация rate limiting и механизмов защиты API.
— Authentication / authorization для внутренних и внешних компонентов системы.
— Обработка ошибок, retries, timeouts и отказов отдельных компонентов.
— Разработка observability: metrics, structured logging, tracing, alerts.
— Работа над производительностью и устойчивостью системы под нагрузкой.
— Совместная работа с protocol, security и DevOps-инженерами.
Требования:
— Сильный опыт backend-разработки production-систем.
— Опыт разработки API и распределенных сервисов.
— Уверенная работа хотя бы с одним из языков: Rust, Go, Python.
— Опыт работы с PostgreSQL, Redis или аналогичными системами хранения состояния.
— Опыт построения очередей и asynchronous processing.
— Понимание concurrency и race conditions.
— Опыт проектирования rate limiting и защиты публичных API.
— Понимание observability и эксплуатации production-систем.
— Умение проектировать системы, устойчивые к частичным отказам.
Будет плюсом:
— Опыт интеграции с Bitcoin Core RPC.
— Понимание UTXO-модели Bitcoin.
— Опыт с blockchain / cryptocurrency infrastructure.
— Опыт разработки non-custodial сервисов.
— Знакомство с CoinJoin и privacy-протоколами.
— Опыт разработки high-load или security-sensitive систем.
Что важно в этой роли:
Bitcoin-экспертиза будет преимуществом, но от backend-инженера мы прежде всего ожидаем умения строить надежную серверную систему: coordinator должен корректно работать при параллельных запросах, сбоях участников, повторных запросах, высокой нагрузке и попытках злоупотребления API.
About OkWhen
OkWhen builds technology that powers live, virtual, and hybrid events. Their platform supports conference management, registration, payments, mobile apps, content libraries, webinars, LMS functionality, CEU tracking, sponsor management, and operational workflows.
The Outcome We’re Hiring For
You will own meaningful parts of the application and consistently deliver reliable software without requiring constant supervision. You will improve system performance, reduce technical debt, and turn operational problems into simple, maintainable products. This role requires understanding the existing system, making sound technical decisions, and following work through from discovery to production.
Responsibilities:
— Design, build, test, deploy, and maintain production software
— Develop backend services and APIs using C# and ASP.NET/.NET
— Build and maintain web applications using Angular
— Design, optimize, and troubleshoot SQL Server databases and queries
— Maintain and extend mobile applications using .NET MAUI
— Investigate and resolve production issues
— Improve application reliability, performance, security, and observability
— Write automated tests and maintain technical documentation
— Participate in code reviews and establish engineering standards
— Collaborate with product, operations, and event-production teams
— Break ambiguous business problems into clear technical plans
— Use AI-assisted development tools responsibly to improve speed without sacrificing quality
Requirements:
— 7+ years of professional software development experience
— Strong commercial experience with C#, .NET, and ASP.NET Core
— Strong experience with Angular and TypeScript
— Advanced working knowledge of SQL Server, database design, and query optimization
— Production experience with .NET MAUI or Xamarin
— Experience designing and consuming REST APIs
— Experience with Git, CI/CD, debugging, and automated testing
— Demonstrated ability to work independently in an existing codebase
— Strong written and verbal communication
— Comfortable owning outcomes, not just completing assigned tasks
Preferred Qualifications:
— Experience with SaaS platforms
— Experience with event management, registration, payments, LMS, or communications systems
— Cloud experience with Azure or AWS
— Experience with distributed systems, queues, integrations, or real-time applications
— Experience modernizing legacy applications
— Experience mentoring other developers
Conditions:
— Health Care Plan (Medical, Dental & Vision)
— Retirement Plan (401k, IRA)
— Paid Time Off (Vacation, Sick & Public Holidays)
— Family Leave (Maternity, Paternity)
— Training & Development
— Work From Home
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 ROLE
Location: Hiring in San Francisco
We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.
If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.
WHAT YOU'LL DO
- Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts
- Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay
- Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution
- Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging
- Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions
- Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships
- Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)
- Spot markeAbout 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 http://Monday.com, Nvidia, and Bridgewater.
Description
ABOUT THE ROLE
Location: Hiring in San Francisco
We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.
If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.
WHAT YOU'LL DO
- Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts
- Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay
- Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution
- Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging
- Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions
- Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships
- Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)
- Spot market opportunities early and move on them immediately.
HOW TO BE SUCCESSFUL IN THIS ROLE
- 7+ years of quota-carrying SaaS sales experience, with at least 2 years managing a team
- Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment.
- Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust
- Experience selling platforms, professional services, and broader organizational transformations, including work with SIs
- Clear, direct communicator. Equally effective with a technical buyers and executives.
On Target Earnings -$300,000 to $350,000 + Equity
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.
About CircleCI Engineering:
CI/CD is being reinvented with AI agents that write code, trigger builds, interpret failures, and propose fixes. CircleCI is building new interfaces for developers to understand and trust this work.
Team-Agnostic Placement:
Hiring is for CircleCI as a whole, not a specific team. Placement depends on where your strengths create the most leverage. Possible areas include CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The role involves full-stack ownership and high craftsmanship.
What You'll Do:
— Build AI-natively, using AI as the default approach to problem solving.
— Invent new interfaces for software delivery that support autonomous pipelines and human judgment.
— Own the full stack by building features end-to-end in Go, React, and TypeScript.
— Focus on reliability and responsiveness as design concerns.
— Champion observability using Honeycomb, Datadog, and Rollbar to improve systems.
— Proactively identify and close gaps without being asked.
What You'll Bring:
— AI-native engineering practices with daily use of AI tools and understanding of their impact.
— At least 3 years of production full-stack experience with a track record of shipping real products.
— Strong skills in React and TypeScript, and comfortable owning backend services in Go including API design, data modeling, and service integration.
— System design skills with conscious tradeoffs and documentation.
— Production mindset focusing on latency, responsiveness, and reliability in distributed environments.
Additional Information:
The role is remote based in Ontario, Canada. Salary range is $127,000 to $159,000 CAD per year. CircleCI is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and interview process.
Задачи:
— Разработка высоконагруженных backend-сервисов и внутренних API на Go.
— Проектирование и развитие микросервисной и распределённой архитектуры: идемпотентность, консистентность, retries, deadlines, отказоустойчивость.
— Написание конкурентного кода на goroutines, channels и примитивах синхронизации.
— Проектирование REST/gRPC API и согласование контрактов с другими командами.
— Асинхронное взаимодействие сервисов через брокеры (Kafka, NATS, RabbitMQ).
— Работа с БД: проектирование схем, индексы, оптимизация запросов, транзакции; Redis для кэша и хранения.
— Профилирование и оптимизация: CPU, память, аллокации, GC, throughput и latency.
— Тестирование: unit- и integration-тесты.
— Docker и Kubernetes: деплой, ресурсы, health checks.
— Участие в построении CI/CD.
— Мониторинг, логирование, трейсинг, алерты и дашборды.
— Code review, участие в архитектурных решениях и техдизайне.
— Управление техдолгом и рефакторинг.
— Разбор production-инцидентов, повышение надёжности.
— Документирование технических решений.
Требования:
— Коммерческая разработка от 5 лет, из них опыт production-разработки на Go от 3-4 лет.
— Глубокое знание Go: goroutines, channels, примитивы синхронизации, паттерны конкурентности, memory model, GC, runtime.
— Опыт написания конкурентного кода без гонок данных.
— Умение профилировать и оптимизировать приложения с помощью pprof (CPU, память, аллокации).
— Опыт работы с generics.
— Понимание сетевого программирования.
— Опыт разработки высоконагруженных и распределённых систем.
— Опыт проектирования микросервисной архитектуры.
— Понимание event-driven архитектуры и асинхронного взаимодействия между сервисами.
— Сильные навыки System Design.
— Понимание принципов отказоустойчивости: retries, deadlines, идемпотентность, консистентность данных.
— Опыт проектирования и разработки HTTP / REST / gRPC API.
— Уверенное знание SQL и PostgreSQL или MySQL: сложные запросы, CTE, оконные функции, индексы, транзакции, оптимизация.
— Опыт работы с NoSQL-хранилищами.
— Практический опыт работы с Redis.
— Опыт работы с одним или несколькими брокерами сообщений: Kafka, NATS/JetStream, RabbitMQ.
— Опыт работы с Docker и Kubernetes: деплой, управление ресурсами, health checks, readiness/liveness probes.
— Опыт работы с Git и CI/CD (GitLab CI, GitHub Actions, TeamCity или аналоги).
— Хорошее понимание Linux, сетей и TCP/IP.
— Опыт написания unit- и integration-тестов.
— Опыт работы с мониторингом (Prometheus, Grafana), логированием и трейсингом.
— Опыт проведения code review и участия в принятии архитектурных решений.
— Умение документировать технические решения.
Будет плюсом:
— Опыт построения observability: OpenTelemetry, Jaeger, ELK.
— Опыт работы с CI/CD и GitOps: ArgoCD и аналоги.
— Опыт работы с распределёнными и NoSQL-базами данных: ClickHouse, MongoDB, YDB, CockroachDB.
— Опыт работы с IAM, OAuth2/OIDC, mTLS и безопасным межсервисным взаимодействием.
— Знание Python для скриптов, автоматизации и работы с legacy-кодом.
Условия:
— Поток действительно интересных проектов, релевантных твоему опыту и с учетом текущей загрузки.
— Формат работы 5/2, полная или частичная занятость.
— Оформление в удобном для тебя формате: ИП или самозанятость.
— Полная удаленка.
— Возможность менять проекты внутри компании — с учётом твоей экспертизы, интереса и текущей загрузки.
— Прозрачность условий и коммуникации, поддержка на всех этапах до выхода на проект и во время работы.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
REQUIREMENTS
Product Positioning & Technical Narrative
- Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities.
- Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences.
- Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability.
- Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement.
- Build messaging that is technically credible without being overly implementation-focused or generic.
Launch Strategy & GTM Execution
- Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement.
- Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach.
- Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points.
- Sequence launches and supporting assets based on customer demand, product readiness, sales need, and market opportunity.
- Partner with Demand Gen, Sales, Solutions, and Customer Marketing to turn product capabilities into pipeline-generating campaigns and enterprise deal support.
Market, Customer & Competitive Intelligence
- Build a deep understanding of how AI-native companies and enterprises run production inference today, where their current infrastructure breaks, and what they need as workloads scale.
- Turn ambiguous customer and market signals into clear recommendations for Product, Sales, and Marketing.
- Develop competitive messaging against inference providers, cloud platforms, and internal DIY alternatives
Cross-Functional Partnership
- Partner with Engineering to ensure technical claims are accurate, defensible, and supported by real product behavior.
- Work with Sales and Solutions teams to understand deal blockers, buyer objections, and enablement gaps.
- Collaborate with Demand Gen and Customer Marketing to build campaigns, customer stories, and field programs
REQUIREMENTS
- 6+ years in product marketing, technical marketing, developer marketing, or a related GTM role, ideally at an infrastructure, developer tools, cloud, data, or AI company.
- Strong technical fluency and the ability to quickly ramp on infrastructure concepts like autoscaling, routing, failover, capacity, observability, deployment models, and performance optimization.
- Experience translating complex technical products into clear, differentiated positioning for both technical practitioners and enterprise decision-makers.
- Track record building launch strategies and GTM plans for platform products, infrastructure products, or technical capabilities with long enterprise sales cycles.
- Excellent storytelling skills, with the ability to make technical infrastructure feel concrete, credible, and commercially urgent.
NICE TO HAVE
- Experience with AI/ML infrastructure, inference, model serving, cloud infrastructure, Kubernetes, observability, DevOps, or distributed systems.
- Experience marketing products to ML engineers, platform engineers, infrastructure leaders, security/compliance teams, or technical executives.
- Experience building competitive positioning against cloud providers, inference providers, model API companies, or internal platforms.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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:
Grafana Labs is looking for an
Majors Account Executive, Key Customers
who will be responsible for prospecting and growing existing business across the
West region
. You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team.
What You’ll Be Doing:
Identify new opportunities to expand Grafana usage within 3-5 top existing accounts across multiple functions and business lines.
Develop and maintain strong relationships at Executive level in current customers
Create and execute strategic plans for defined account set
Meet and exceed individual quarterly and annual sales goals
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
What Makes You a Great Fit:
8+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Experience using Salesforce
Familiarity with open source technology is a significant advantage
Experience using Command of the Message and MEDD(P)ICC is ideal
Compensation & Rewards:
In the USA, the OTE (On-Target Earnings) compensation range for this role is 360,000-380,000. 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
.
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
About Analytics at LawnStarter
The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts.
The Role
The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed.
Key differentiators of the role:
- First dedicated governance role, reshaping existing standards.
- Owns the data roadmap, discovering business needs and prioritizing work.
- Whole-stack ownership from source data to ML models.
- Leading the migration to Lightdash, setting up permissions and norms.
Responsibilities:
- Develop and manage the data roadmap balancing business needs and platform health.
- Automate monitoring of data quality and freshness, resolve incidents.
- Maintain data lineage and impact analysis to assess downstream effects of changes.
- Administer Lightdash workspace, permissions, and rollout.
- Extend and guard the semantic layer with governed metric definitions.
- Govern Segment event tracking catalog, standards, and drift detection.
- Ensure AI data readiness for internal AI tools querying the warehouse.
- Manage data security, privacy, access controls, and compliance with US state laws.
- Maintain governance documentation, ownership models, and review processes.
Challenges to solve:
- Convert business requests into a prioritized data roadmap.
- Ensure Lightdash migration improves platform usability without dashboard sprawl.
- Complete and maintain a trustworthy semantic layer.
- Manage event-tracking standards and prevent entropy.
- Proactively detect and prevent data pipeline breakages with automation and lineage.
Success metrics for year 1:
- Zero pipeline incidents from unannounced data changes.
- Zero freshness incidents; stakeholders never see stale dashboards.
- All business areas use official, well-maintained metrics and dashboards.
- Every Segment event has an owner and meets standards.
- Governance operates as a documented, sustainable system.
Requirements:
- Passion for data governance as a craft.
- Daily use of AI tools for automation, anomaly triage, and documentation.
- Hands-on manager who codes, debugs, and configures personally.
- Product-minded, able to translate vague requests into prioritized plans.
- Automation-first approach to quality checks.
- Ability to enforce standards with clear rules and good tooling.
Role exclusions:
- Not a large-team leadership role; starts solo with potential to hire one lead.
- Not a policy or committee role; hands-on fixing with code and conversations.
- Not a BI analyst role; focuses on platform and guardrails, not dashboard building.
- Not a mature system babysitting role; involves building and evolving the platform.
Technologies involved:
- Warehouse & pipelines: Redshift, dbt, Airflow
- Ingestion: Fivetran, custom Airflow pipelines
- Event tracking: Segment
- BI tools: Lightdash (primary), Tableau and Metabase (sunsetting)
- AI tooling: Claude Code, Codex, Brain (internal AI toolkit)
- Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection
Benefits:
- Base salary $75k-$120k/year
- Fully remote with asynchronous collaboration
- Flexible PTO
Equal employment opportunity statement included.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from Canada in EST time zones
only
at this time.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
211,450
- CAD
253,740
. 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.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Germany, the Base compensation range for this role is EUR
124,571
- EUR
149,485
. Actual compensation may vary based on level, experience, and skillset as assessed in 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: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Ireland, the Base compensation range for this role is EUR
133,600
- EUR
160,320
. Actual compensation may vary based on level, experience, and skillset as assessed in 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: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Spain, the Base compensation range for this role is EUR
106,680
- EUR
128,016
. Actual compensation may vary based on level, experience, and skillset as assessed in 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.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Sweden, the Base compensation range for this role is SEK
996,819
- SEK
1,196,182
. Actual compensation may vary based on level, experience, and skillset as assessed in 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.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In the United Kingdom, the Base compensation range for this role is GBP
117,949
- GBP
141,539
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from USA in EST time zones
only
at this time.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
208,602
- USD
250,322
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
Join Honeycomb as a Senior Financial Analyst and be a key player in our growing FP&A team! Reporting to the Director of FP&A, you'll partner primarily with our R&D organization — product and engineering — as the finance lead for how we understand and manage the cost of running Honeycomb. You'll take ownership of our BI and planning tool (Pigment), continue and improve our cloud-hosting-cost (COGS) analysis, and support R&D capitalization, forecasting, and planning. This role suits someone who takes initiative, solves problems analytically, and actively drives process improvements in a fast-paced environment, and who's comfortable collaborating cross-functionally with engineering, product, data, and IT. If you're ready to make an impact and grow with us, we'd love to hear from you!
What you’ll do in the role:
Own and improve our cloud-hosting-cost (COGS) analysis — breaking hosting spend (e.g., compute, storage, and AI/LLM usage) down by area and by customer to understand customer-level usage and margin
Take ownership of Pigment, our BI and planning tool — building and maintaining reports and supporting forecasting and monthly and quarterly close
Partner with engineering on R&D capitalization, capitalizing engineering time for the products they help build
Run forecasting and planning for the R&D organization, including headcount and software planning
Track and help manage our AI/LLM tooling costs, monitoring usage against budget
Collaborate cross-functionally with engineering, product, data, and IT to improve our financial processes and reporting
Support the finance team on special projects and ad-hoc analysis, with a focus on improving processes and scalability as we grow
What you’ll bring to the role:
Bachelor's Degree in Accounting, Finance, Economics, or a comparable field — or equivalent practical experience
5+ years of FP&A, strategic planning, or P&L management experience at a SaaS company
A technical orientation, with the ability to partner directly with engineering and product teams
Expert in Excel and Google Sheets, comfortable with a range of modeling techniques, and able to build analysis and models that influence decisions
Experience with ERP and financial planning/BI tools — Pigment (or a comparable tool such as Mosaic) a strong plus
Comfortable in an ambiguous, fast-paced environment: driving results, solving complex problems, and exercising judgment across multiple sources of information
Strong quantitative skills and the ability to connect the dots across data sources to inform decisions
Familiarity with cloud/hosting cost structures, R&D capitalization, or SQL a plus
Base Salary based on level of experience
$125,000
—
$170,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
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.
senior
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