Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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.
We are looking for an expert in sales and analytics who can partner deeply and efficiently across our Go-To-Market and Finance organizations to help support high-tempo, data-driven decisions. Reporting to our Director of Analytics & Insights, this role will be part of a rapidly growing Revenue Operations team focused on bringing greater predictability and insight to the business and helping define our GTM strategy. To be successful, you will be able to operate in an unstructured, fast-paced environment and look forward to building the foundations for our future growth. You will bring a solid technical foundation across a wide variety of skills used in the GTM organization to tackle critical operational and business initiatives. You are deeply curious, intensely detail-oriented, and excited by new and challenging puzzles. Your background in Sales / Financial Analytics gives you the confidence to hit the ground running to define the building blocks of a sound data and analytics practice, but you continually look to tailor your models and insights to the unique attributes of the environment. You thrive collaborating with teammates who challenge you to grow every day, and your experience has given you the balanced ability to put a hard technical problem under a microscope without losing sight of the bigger picture required to effectively communicate with executive stakeholders.
What You’ll Be Doing:
- Design reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams
- Develop reliable, accurate data models to help define financial and business performance metrics, from source data down through user-friendly reporting layers
- Lead cross-functional projects to develop tooling and datasets in support of the needs of operational teams; provide continuous enablement for these teams to self-serve basic data needs using what Analytics & Insights constructs
- Optimize the information design across the GTM technology stack to enable the development of marketing, sales, and financial analytics
- Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership.
- Manage urgent ad-hoc data analysis and QA support requests
What Makes You a Great Fit:
- Experience in a Sales or GTM organization, and familiar with common sales models like rep productivity, rep capacity, campaign influence, and quota modeling
- 5+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you
- 3+ years of data visualization experience with one of the following tools: Tableau, Looker, Mode Analytics, Sisense
- Experience getting your hands dirty performing production-ready, user-focused data model development / building ETLs; familiarity with popular data warehouses (BigQuery, Snowflake, etc.)
- Experience with the following: Salesforce, BigQuery, dbt, NetSuite
- Excellent communication skills with senior management audiences- explain “what it is”, “why it matters”, and “what should we do” in terms of your data and analysis; deliver user-oriented datasets, KPIs, dashboards, and runbooks to ensure alignment with those audiences
- Previous experience with Grafana visualization, or a desire to invest the time to learn
Bonus Points For:
- Knowledge of financial metrics, revenue recognition
- 3+ years of production data model development
- 1+ years of Python / Spark / Scala - familiar with statistical and machine learning packages, as well as generating ad-hoc ETL jobs
- Project management experience
- Experience with documentation of datasets and tooling for MCP server ingestion, construction of AI skills and plugins
- Experience as a user of any of the following tools: Jira, Asana, Databricks, GitHub, Hightouch, Fivetran
In the United States, the OTE compensation range for this role is $174,000 - $215,000. 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
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
