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Grafana Labs currently has 18 active job listings related to AI. All of these roles are focused on agents, representing 100% of their AI hiring. The majority of these positions are in Engineering, with a smaller number in Product. The company is hiring for these roles in the United States and the United Kingdom. Their technical focus includes agent orchestration, LLM observability, RAG, tool use, and guardrails. Over the last 30 days, Grafana Labs has posted 2 new AI roles, a decrease of 86% compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 9 active AI roles, down 65% versus the prior 4 weeks. Primary focus: Agent · Engineering.

Hiring
9 / 13
Momentum (4w)
↓-63 -65%
34 opens last 4w · 97 prior 4w
Salary range
—
Tracked since
Oct '25
last role 5w ago
Hiring velocityscroll left for older weeks
1 new role
Jul 21
2 new roles
Oct 27
1 new role
Nov 3
4 new roles
Dec 8
1 new role
15
1 new role
29
1 new role
Jan 5
2 new roles
12
6 new roles
26
7 new roles
Feb 2
12 new roles
9
12 new roles
16
8 new roles
23
1 new role
Mar 2
3 new roles
9
3 new roles
16
11 new roles
23
1 new role
30
20 new roles
Apr 6
2 new roles
13
20 new roles
20
12 new roles
27
25 new roles
May 4
23 new roles
11
20 new roles
18
29 new roles
25
5 new roles
Jun 1
7 new roles
8
11 new roles
15
11 new roles
22

Frequently asked questions

  • What AI roles is Grafana Labs hiring for?

    Grafana Labs currently has 17 active AI-related roles in our index. The most common open titles are: Staff AI Engineer | Canada | Remote (2), Staff AI Engineer | US | Remote (2), Demand Generation Specialist | Canada | Remote, Demand Generation Specialist | United States | Remote, Director, Product Management - Data Collection, Transformation, and Ingest | Germany | Remote. Most positions are in Engineering and Product.

  • What stage of AI development does Grafana Labs focus on?

    Grafana Labs's active AI hiring is concentrated in: agents (88%), application (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Grafana Labs hiring AI talent?

    Grafana Labs is hiring AI talent in: United States (17 roles).

  • What technologies does Grafana Labs's AI team work with?

    Job postings at Grafana Labs most frequently reference: agent orchestration, llm observability, rag, tool use, model serving.

  • How many AI roles has Grafana Labs posted recently?

    In the past 30 days, Grafana Labs has posted 5 new AI-related roles.

Jobs (2)

10 AI · 96 total active
FilteredCountryCanada×
Show
Active onlyAI only (≥ 7)
Stage
AllAgent · 15Ship · 2
Function
AllEngineering · 52Product · 44
Country
AllUnited States · 74United Kingdom · 6Canada · 2Japan · 2Spain · 2Israel · 1Netherlands · 1Singapore · 1Sweden · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Solutions Engineer | Toronto | Remote
This role is for a Senior Solutions Engineer at Grafana Labs, focusing on enabling customer success and driving growth through technical expertise. The role involves partnering with sales, delivering technical presentations, and providing a feedback loop to product and engineering teams. While the company mentions "actually useful AI" in its platform, the core responsibilities of this role are customer-facing technical sales support and product evangelism, not direct AI/ML model development or deployment.
—ProductCanada · Remote6d ago0
Senior Fullstack Engineer - Observability Real User Monitoring (RUM) | Canada | Remote
This role is for a Senior Fullstack Engineer focused on Grafana's Real User Monitoring (RUM) product. The primary responsibilities involve building and evolving fullstack features for systems that ingest, store, and query high-volume telemetry data (sessions, events, traces, logs) in real-time. This includes backend services, APIs, storage systems, query layers, and frontend visualization applications. The role emphasizes working with high-cardinality data, distributed systems, and observability concepts, with a preference for Go and TypeScript/React. While the company uses AI tools and provides access to frontier models, the core function of the role is not AI/ML development but rather building robust observability systems.
—
Engineering
Canada · Remote
Apr 22
0