Grafana Labs Careers 2026: What It's Actually Like to Get Hired as a Staff AI Engineer (Remote, Germany)

The Company Behind the Job

Grafana Labs built its reputation on open source, and that ethos still runs through everything the company does. Its flagship product, Grafana Cloud, gives organizations a way to make sense of scattered operational data — logs, metrics, traces — so teams can catch problems before they escalate. The client list backs up the scale: companies like Bloomberg, NVIDIA, Microsoft, and Salesforce all rely on Grafana to keep their systems running smoothly.

What makes Grafana Labs stand out in the current hiring market isn't just the product, though — it's the structure of the company itself. It runs as a fully distributed, remote-first operation with well over a thousand employees spread across dozens of countries, so 'remote' here isn't a pandemic-era leftover policy. It's the actual operating model.

Where the Job Actually Sits

This particular opening lives inside a newer, smaller unit at Grafana — internally described as a skunkworks-style team building AI-driven analytics tools that extend well beyond the company's core observability product. The team blends veteran employees with newer hires, and the working style leans heavily on autonomy rather than layers of process.

• Designing and shipping AI-powered features that help users navigate and act on large, messy datasets
• Building and refining LLM- and agent-based workflows for data analysis tasks
• Integrating AI features with tools teams already use, like Slack and alerting systems
• Running a fast prototype-test-iterate loop with real users rather than long planning cycles
• Taking ownership of a feature from first draft through to something scalable and stable in production

What Grafana Is Actually Looking For

The listing is fairly upfront that this isn't an entry-level search, but it also doesn't demand a rigid checklist of credentials.

• A solid background building production software that real users actually rely on
• Hands-on experience with LLMs and applications built around generative AI
• Comfort working in cloud environments like AWS, GCP, or Azure
• Some familiarity with observability tooling for diagnosing system behavior
• A track record of shipping fast, gathering feedback, and adjusting course without needing detailed direction

What Working There Actually Feels Like

Grafana leans into a message of trust over oversight, and the compensation backs up the 'staff-level' framing.

• Base salary for this role in Germany ranges from €109,000 to €137,000
• Equity and bonus eligibility on top of base pay
• 30 days of annual leave, with company-wide shutdown periods
• A short in-person onboarding stretch at the start, even though the role is fully remote afterwards
• A culture that emphasizes low ego, high trust, and valuing outcomes over visibility

How to Actually Get Hired

The process runs through Grafana's own Greenhouse-hosted careers page rather than a third-party recruiter pipeline.

• Find the 'Staff AI Engineer - 2nd Horizon' listing on Grafana Labs' careers page and confirm you're applying from an eligible location
• Submit your application with a resume that highlights production systems you've actually shipped
• Expect an initial recruiter conversation focused on your engineering background and comfort with ambiguity
• Move into technical interviews centered on LLM application design, production engineering judgment, and cloud-native systems
• Ask your recruiter directly about market-specific pay during early conversations
• Plan for a short in-person onboarding period once an offer is signed

Salary range

Application steps

1. 1Find the listing on Grafana Labs' careers page and confirm your location is eligible.
2. 2Submit your application with a resume emphasizing shipped production systems.
3. 3Complete an initial recruiter screen on your engineering background.
4. 4Go through technical interviews on LLM design, cloud systems, and production judgment.
5. 5Confirm market-specific pay with your recruiter if applying from outside the standard range.
6. 6Complete a short in-person onboarding once the offer is finalized.