Lead Frontend Engineer, Data Visualization (Remote)

Grafana

United States

Remote

USD 132,000 - 158,000

Full time

4 days ago
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Benefits offered by this job

RSUs
Remote work
30 days leave
Grafana shutdown days

Job summary

Grafana Labs is hiring for a senior frontend leadership role within the Grafana Frontend team, focused on DataViz. You will guide multi-quarter initiatives and collaborate across squads to deliver scalable visualizations and robust dashboards.

You’ll mentor engineers, participate in on-call responsiveness, and shape roadmaps while engaging with the Grafana community. Remote-friendly with global teams and strong emphasis on quality and open source collaboration.

Qualifications

  • Proven technical leadership with multi-quarter initiatives.
  • Experience mentoring engineers and conducting design reviews.
  • On-call experience and incident response in production.
  • Strong AI capabilities applied to real-world problems.
  • Comfortable working in a fully remote, asynchronous environment.

Responsibilities

  • Lead multi-quarter technical initiatives from problem framing through rollout.
  • Mentor and collaborate with engineers; raise the engineering bar through reviews.
  • Participate in on-call, incidents and post-incident learning.
  • Provide technical support in customer escalations and reduce friction.
  • Cross-squad collaboration; present designs and roadmaps in cross-team discussions.

Skills

Technical leadership
Mentoring engineers
On-call experience
AI experience
Remote collaboration

Tools

Typescript
React
uPlot
ECharts

Job description

Grafana Labs is hiring for a senior frontend leadership role within the Grafana Frontend team, focused on DataViz. You will guide multi-quarter initiatives and collaborate across squads to deliver scalable visualizations and robust dashboards.

You’ll mentor engineers, participate in on-call responsiveness, and shape roadmaps while engaging with the Grafana community. Remote-friendly with global teams and strong emphasis on quality and open source collaboration.

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