How to Apply to Grafana Labs

Key Takeaways

Before applying, spend meaningful time using Grafana Cloud's free tier — build a dashboard, run a k6 load test, or explore Loki log queries so you can speak from genuine product experience in your application and interviews
Tailor your resume's language to match Grafana Labs' specific terminology: use 'observability' not just 'monitoring,' reference 'PromQL' or 'LogQL' if applicable, and name-drop relevant CNCF projects you've used or contributed to
Prepare your GitHub profile or portfolio of open-source contributions as a supplementary asset — link it prominently in your Greenhouse application, as this carries significant weight in Grafana Labs' evaluation
Research the specific Grafana Labs product your target team builds (Grafana, Loki, Tempo, Mimir, k6, Alloy, or Cloud) and articulate why that particular area excites you — generic 'I love Grafana' enthusiasm is less compelling than specific product insight
Practice explaining complex distributed systems concepts in clear, written form — Grafana Labs' remote-first culture prizes written communication, and your ability to articulate technical ideas concisely will be evaluated throughout the process
For non-engineering roles, deeply understand the PLG (product-led growth) and open-source-to-commercial conversion model — this business motion is central to how Grafana Labs operates and differentiates from competitors like Datadog
Note the time zone requirements in each job title and be prepared to discuss your working hours and overlap availability during the recruiter screen — this is a practical hiring consideration, not a formality

About Grafana Labs

Grafana Labs is the company behind Grafana, the world's most widely adopted open-source observability and data visualization platform, used by millions of users and thousands of organizations — including Bloomberg, JPMorgan Chase, and eBay. Beyond the flagship Grafana dashboard, the company maintains a growing ecosystem of open-source projects including Loki (log aggregation), Tempo (distributed tracing), Mimir (metrics at scale), k6 (load testing), and Alloy (OpenTelemetry collector). Their commercial offering, Grafana Cloud, provides a fully managed observability stack that competes directly with Datadog, New Relic, and Splunk. Grafana Labs operates as a remote-first company with employees distributed across dozens of countries — a philosophy baked into its DNA since its earliest days, not a pandemic pivot. This global-remote model shapes everything from asynchronous communication norms to how teams are structured across time zones. The culture leans heavily into open-source values: transparency, community contribution, collaboration over hierarchy, and a 'big tent' philosophy that welcomes integrations with competing tools rather than locking users in. What draws people to Grafana Labs is the rare combination of open-source mission and commercial viability. Engineers get to build tools used by millions while working on genuinely hard distributed systems problems — time-series databases at petabyte scale, real-time streaming pipelines, and cross-signal correlation across metrics, logs, and traces. The company has raised over $300 million in funding and is valued in the multi-billion dollar range, yet maintains the velocity and autonomy of a startup. With 14+ open roles spanning engineering, sales, marketing, and people operations, Grafana Labs is in a significant growth phase while remaining committed to the open-source community that built its reputation.

Application Process

1
Identify Your Role on Grafana Labs' Careers Page
Browse open positions at grafana.com/about/careers/, where roles are organized by department and location. Pay close attention to the geographic and time zone requirements embedded in each title (e.g., 'USA PST' or 'Spain | Remote') — Grafana Labs is remote-first but many roles require overlap with specific regional time zones for team collaboration. Use filters to narrow by department such as Engineering, Product, Sales, or People Operations.
2
Submit Your Application Through Greenhouse
Grafana Labs uses Greenhouse as its applicant tracking system. You'll complete a structured application form that typically asks for your resume, LinkedIn profile, and sometimes a cover letter or short-answer questions about your experience with observability tools or open-source contributions. Ensure your resume is uploaded in PDF or DOCX format for optimal parsing, and fill out all optional fields — incomplete applications may be deprioritized.
3
Recruiter Screen (30 Minutes)
If your profile matches, a talent acquisition partner will schedule a video call — typically via Zoom, given Grafana Labs' remote-first setup. This conversation covers your background, motivation for joining Grafana Labs specifically, understanding of the observability space, salary expectations, and logistical details like time zone availability. Demonstrating familiarity with Grafana's products and open-source ecosystem is a strong differentiator at this stage.
4
Hiring Manager Interview
The hiring manager assesses your technical depth and team fit in a 45-60 minute conversation. For engineering roles, expect questions about system design, distributed systems concepts, or your experience with relevant technologies like Go, TypeScript, or Kubernetes. For non-engineering roles like Product Marketing or Account Executive positions, this interview often explores your domain expertise in developer tools, PLG (product-led growth) motions, or enterprise sales cycles in the monitoring and observability market.
5
Technical Assessment or Take-Home Exercise
Many engineering roles at Grafana Labs include a take-home assignment or live coding exercise focused on practical problems rather than abstract algorithm puzzles. You might be asked to build a small service in Go, design a data pipeline, or debug an observability-related scenario. For senior and staff-level roles, a system design interview exploring how you'd architect solutions at Grafana's scale — handling millions of data points per second — is common. Non-engineering roles may receive a case study or presentation exercise.
6
Team Interviews and Cross-Functional Panels
Expect two to three additional interviews with prospective teammates and cross-functional partners. These sessions evaluate collaboration style, communication skills in a remote-async environment, and alignment with Grafana Labs' open-source-first values. For leadership roles like Engineering Manager or People Business Partner, at least one round will focus on leadership philosophy, how you handle distributed team dynamics, and your approach to building inclusive remote-first team cultures.
7
Offer and Onboarding
Offers are typically extended within one to two weeks of the final interview round. Grafana Labs is known for competitive compensation packages that are adjusted for geographic location. Once you accept, onboarding is conducted remotely with structured ramp-up programs, access to internal Grafana dashboards and documentation, and pairing sessions with team members — reflecting the company's commitment to making remote-first onboarding seamless.

Resume Tips for Grafana Labs

critical

Lead with Observability, Monitoring, and Open-Source Experience

Grafana Labs operates at the center of the observability ecosystem. If you've used Grafana, Prometheus, Loki, Tempo, Mimir, k6, Jaeger, or OpenTelemetry in any capacity — whether building dashboards, writing PromQL queries, or configuring alerting pipelines — put this front and center. Even if you're applying for a non-engineering role, referencing familiarity with these tools signals you understand the product and market. Use specific language like 'built Grafana dashboards monitoring 500+ microservices' rather than 'experience with monitoring tools.'

critical

Quantify Distributed Systems and Scale Metrics

Grafana Labs builds infrastructure that processes billions of data points. Your resume should speak this language. Instead of 'managed backend services,' write 'designed and operated Go microservices handling 50K requests/second with 99.9% uptime across multi-region Kubernetes deployments.' For sales or marketing roles, quantify pipeline generated from developer-focused or PLG motions, deal sizes in the observability or DevOps tooling space, and expansion revenue from technical accounts.

critical

Highlight Go, TypeScript, and Cloud-Native Technologies

Grafana Labs' backend is predominantly written in Go, with frontends in TypeScript and React. Their infrastructure runs on Kubernetes across major cloud providers. If you have experience with any combination of Go, TypeScript, React, Kubernetes, AWS, GCP, or Azure, ensure these appear prominently in your skills section and are woven into your bullet points with context. Greenhouse's parsing will match these keywords against role requirements, so use the exact terms from the job description.

recommended

Showcase Open-Source Contributions and Community Involvement

Open source is Grafana Labs' foundation, not a marketing tactic. A dedicated section for open-source contributions — including GitHub profile links, PRs to CNCF projects, conference talks at KubeCon or GrafanaCON, or community forum participation — can meaningfully elevate your application. Even non-code contributions like documentation improvements, blog posts about observability best practices, or organizing local meetups demonstrate cultural alignment with the company's ethos.

recommended

Demonstrate Remote-First Work Competency

With a globally distributed workforce, Grafana Labs values candidates who thrive in asynchronous, remote-first environments. Include concrete examples like 'collaborated asynchronously across 4 time zones using written RFCs and recorded design reviews' or 'led a distributed team of 8 engineers across US, EU, and APAC regions.' This is especially important for management roles like Engineering Manager or People Business Partner, where remote leadership experience is a core requirement.

recommended

Use Clean Formatting Optimized for Greenhouse Parsing

Greenhouse handles standard resume formats well, but avoid multi-column layouts, tables, headers/footers with critical information, or embedded images and icons. Use clear section headings like 'Experience,' 'Skills,' 'Education,' and 'Open Source.' Submit as PDF for visual consistency, but ensure the PDF is text-selectable (not a scanned image). Keep your file name professional: 'FirstName_LastName_Resume_GrafanaLabs.pdf.'

recommended

Mirror the Job Description's Language Precisely

Grafana Labs' job descriptions use specific terminology — 'observability,' 'instrumentation,' 'SLOs,' 'cardinality,' 'PLG motion,' 'big tent philosophy.' Mirror this language in your resume rather than using synonyms. If a role mentions 'Grafana App Platform,' don't generalize to 'dashboard platforms.' Greenhouse's keyword matching and recruiter scanning both benefit from this precision, and it demonstrates you've read the posting carefully rather than mass-applying.

nice_to_have

Include a Concise Professional Summary Tailored to Grafana Labs

Open your resume with a 2-3 sentence summary that directly connects your experience to Grafana Labs' mission. For example: 'Staff backend engineer with 8 years building high-throughput distributed systems in Go, including time-series databases and streaming data pipelines. Active contributor to Prometheus and OpenTelemetry projects. Passionate about making observability accessible through open-source tooling.' This immediately frames your application in Grafana Labs' context rather than forcing the reader to connect the dots.

ATS System: Greenhouse

Greenhouse is a structured hiring platform that emphasizes scorecard-based evaluation, ensuring each interviewer assesses candidates against predefined criteria. Applications submitted through Grafana Labs' careers page are parsed by Greenhouse, which extracts key fields — contact info, work history, skills, education — and makes them searchable by recruiters using keyword and filter queries.

Submit your resume as a text-selectable PDF — Greenhouse parses these reliably, and Grafana Labs' recruiting team can search keywords within your document
Fill out every field in the application form, including optional ones like LinkedIn URL and 'How did you hear about us?' — completeness signals genuine interest and helps recruiters route your application
Use standard section headers (Experience, Skills, Education) so Greenhouse's parser correctly categorizes your information rather than dumping it into a miscellaneous field
Include exact keywords from the job posting — if the role says 'distributed tracing' and 'OpenTelemetry,' use those exact phrases rather than 'application performance monitoring' or 'telemetry frameworks'
Avoid tables, columns, graphics, or text boxes — Greenhouse may misorder or skip content trapped in complex layouts, causing critical experience to be missed
If applying to multiple Grafana Labs roles, tailor each submission separately — Greenhouse tracks all your applications, and recruiters can see if you've submitted identical resumes to very different positions, which may signal a lack of targeted interest
Double-check that your uploaded resume matches the information you enter in Greenhouse's manual fields — discrepancies between parsed data and form entries can create confusion during review

Complete Greenhouse Resume Guide →

Interview Culture

Grafana Labs' interview process reflects its identity as a remote-first, engineering-driven, open-source company.

Interviews are conducted entirely over video — typically Zoom — and you should expect a process that spans four to six stages over two to four weeks, though timelines can vary by team and seniority level. The overall tone is collaborative rather than adversarial. Interviewers at Grafana Labs commonly approach conversations as peer discussions: they want to understand how you think through problems, not watch you sweat through gotcha questions. For engineering roles, technical assessments lean toward practical, real-world scenarios over LeetCode-style algorithm challenges. You might design a system for ingesting and querying high-cardinality metrics, debug a misbehaving Grafana plugin, or write Go code that handles concurrent data streams. The emphasis is on production-quality thinking — error handling, scalability, observability of your own code — not theoretical perfection. For management and leadership positions, expect behavioral interviews grounded in remote-first team dynamics. Questions commonly explore how you've navigated asynchronous decision-making, built psychological safety on distributed teams, given and received feedback across time zones, and maintained engineering velocity without micromanagement. Grafana Labs tends to look for servant-leader philosophies over command-and-control styles. Culture fit at Grafana Labs revolves around several signals: genuine enthusiasm for open source (not performative), comfort with transparency and written communication, low ego combined with high ownership, and a 'big tent' mindset — the willingness to collaborate with the broader ecosystem rather than build walls. If you've contributed to open-source projects, participated in CNCF communities, or written technical blog posts, bring these up proactively. Panels are typically structured using Greenhouse scorecards, meaning each interviewer evaluates specific competencies. This means different rounds will feel distinct in focus — one might drill into technical architecture while another explores collaboration and communication. Prepare for each round as its own conversation rather than rehearsing a single narrative. Asking thoughtful questions about Grafana Labs' open-source strategy, team structure, or product roadmap demonstrates the intellectual curiosity the company values.

What Grafana Labs Looks For

Deep familiarity with the observability ecosystem — candidates who understand metrics, logs, traces, and profiling as interconnected signals, not isolated tools
Open-source ethos and community mindset — whether through code contributions, documentation, conference talks, or genuine enthusiasm for collaborative software development
Remote-first fluency — proven ability to communicate effectively through writing, async collaboration tools, and recorded discussions across distributed time zones
Strong ownership paired with low ego — Grafana Labs values people who take initiative and drive outcomes but remain open to feedback, code review, and changing direction based on data
Technical depth relevant to the role's stack — Go proficiency for backend, TypeScript/React expertise for frontend, and cloud-native infrastructure knowledge (Kubernetes, Terraform, major cloud providers) for platform roles
Product-led growth understanding — particularly for go-to-market roles, an appreciation for how open-source adoption translates into commercial revenue through developer trust and bottom-up adoption
Scalability mindset — experience designing, operating, or selling systems that handle massive data volumes, high concurrency, and multi-tenant architectures
Intellectual curiosity about the monitoring and observability space — staying current with OpenTelemetry developments, CNCF projects, and how the industry is evolving beyond traditional APM

Frequently Asked Questions

How long does the Grafana Labs hiring process typically take from application to offer?

Based on candidate reports, the end-to-end process at Grafana Labs typically takes three to five weeks, though this varies by role complexity and seniority. Engineering roles with take-home assignments may take slightly longer due to scheduling across time zones. The recruiter screen is usually scheduled within one to two weeks of application if your profile is a match. Grafana Labs' recruiting team generally communicates proactively about timelines, and you can ask your recruiter for a clear outline of remaining steps at any point in the process.

Does Grafana Labs require a cover letter with applications?

Cover letters are typically optional in Greenhouse submissions for Grafana Labs, but a well-crafted one can differentiate your application — especially for non-engineering roles or when you're making a career pivot into the observability space. If you write one, focus on why Grafana Labs specifically (not just 'I love open source'), which product or team excites you, and what unique perspective you'd bring. Keep it under 300 words and reference specific Grafana Labs products, community involvement, or open-source philosophy rather than rehashing your resume.

What resume format works best with Grafana Labs' Greenhouse ATS?

Submit a clean, single-column PDF with standard section headings and no embedded graphics, tables, or multi-column layouts. Greenhouse parses text-selectable PDFs reliably, and Grafana Labs' recruiters can keyword-search within them. Avoid creative resume templates with icons, progress bars for skills, or sidebar columns — these often cause parsing errors that result in jumbled or missing information. One to two pages is the sweet spot; even senior candidates should aim for concise, high-impact content rather than exhaustive role histories.

Can I apply to multiple roles at Grafana Labs simultaneously?

Greenhouse allows you to apply to multiple positions, and Grafana Labs' recruiting team can see all your applications. Applying to two or three closely related roles is generally fine — for example, Senior Backend Engineer positions on different teams. However, applying to many unrelated roles (e.g., Backend Engineer, Product Marketing Manager, and People Business Partner) signals uncertainty about your direction and may weaken each individual application. If you're genuinely interested in multiple areas, pick the one or two strongest fits and tailor each submission specifically to that team and product.

Does Grafana Labs hire junior or entry-level candidates?

Grafana Labs' open roles tend to skew toward mid-senior and senior levels, reflecting the complexity of building distributed systems at massive scale. However, the company has periodically hired for roles that are accessible to earlier-career candidates, particularly in customer-facing, marketing, or operations functions. If you're earlier in your career, strong open-source contributions, familiarity with Grafana's product suite, or relevant internship experience can compensate for fewer years of professional experience. Monitor the careers page regularly, as hiring needs evolve with team growth.

How should I prepare for the technical interview at Grafana Labs?

For backend engineering roles, brush up on Go fundamentals, distributed systems concepts (consensus, partitioning, replication), and observability-specific patterns like time-series data modeling, high-cardinality challenges, and efficient query design. Grafana Labs' technical interviews emphasize practical problem-solving over algorithmic puzzles — think 'design an ingestion pipeline for millions of metrics per second' rather than 'implement a red-black tree.' Review the architecture of relevant Grafana Labs projects (many are open source on GitHub), and be prepared to discuss trade-offs in your design decisions. For take-home assignments, prioritize clean, tested, well-documented code over over-engineered solutions.

Is Grafana Labs truly remote-first, or is there a headquarters bias?

Grafana Labs was founded as a remote-first company before the pandemic made remote work mainstream, and this ethos is deeply embedded in its operating model. The company has employees in over 40 countries, and job titles explicitly include location requirements for time zone overlap rather than office presence. Decision-making, documentation, and communication are designed around asynchronous workflows. While there are some office hubs, career progression and visibility are not reported to be tied to physical location. That said, you'll be expected to demonstrate strong written communication skills and self-direction — remote-first doesn't mean low-structure; it means intentionally designed for distributed collaboration.

What should I know about Grafana Labs' culture before interviewing?

Grafana Labs' culture is rooted in its open-source origins: transparency, community-first thinking, and a 'big tent' philosophy that embraces interoperability with competing tools rather than vendor lock-in. The company values low-ego collaboration — engineers at all levels participate in code reviews, and hierarchy is relatively flat. During interviews, demonstrating genuine curiosity about the observability space, comfort with giving and receiving candid feedback, and an ability to communicate complex ideas clearly in writing will resonate strongly. Familiarize yourself with GrafanaCON talks, the Grafana blog, and community forums to absorb the company's voice and values.

How does Grafana Labs handle compensation for remote employees in different regions?

Grafana Labs offers competitive compensation that is typically adjusted based on the cost of labor in your geographic region — a common approach among remote-first companies of this scale. While specific figures aren't publicly disclosed, the company is known for comprehensive benefits including equity participation, generous PTO, home office stipends, and learning budgets. During the recruiter screen, salary expectations are typically discussed early, so research compensation benchmarks for your role and region beforehand. You can find helpful data points on Glassdoor and Levels.fyi from current and former employees.

Should I follow up after submitting my application to Grafana Labs?

Greenhouse will send you an automated confirmation upon submission, but a thoughtful follow-up can help if you have a genuine connection. If you know someone at Grafana Labs, ask them to submit an internal referral — employee referrals carry meaningful weight in Greenhouse's prioritization. If you don't have an internal contact, consider engaging with Grafana Labs' community on GitHub, the Grafana community forums, or social media in authentic ways rather than sending cold follow-up emails to recruiters. If you haven't heard back after two to three weeks, a polite check-in via LinkedIn to the recruiting team is reasonable.

Sample Open Positions

View 14 Open Positions at Grafana Labs →

Related Resources

Similar Companies

Sources

Grafana Labs Careers Page — Grafana Labs
Grafana Labs Company Overview and Culture — Grafana Labs
Grafana Labs Reviews and Interview Experiences — Glassdoor
Grafana Labs Open Source Projects — GitHub
Greenhouse ATS Candidate Help — Greenhouse Software