Director of Engineering, Loki Databases | Usa | Remote

Grafana Labs Grafana Labs · Data AI · Canada, United States · Remote · R&D : Databases

Director of Engineering for Loki Databases at Grafana Labs, focusing on leading a team of 20+ engineers to develop and scale a cloud-native, distributed logs database. The role involves collaborating with product and engineering leadership, driving product vision, and fostering innovation. Experience with AI-assisted tooling is preferred, with an expectation of curiosity and comfort using AI-powered tools.

What you'd actually do

  1. Leading a team of 20+ engineers and growing them over time, including managing managers, developing a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
  2. Collaborate closely with product, design and engineering leadership to define goals that move the Logs group forward and align with broader business objectives. Drive the product vision from listening to customer feedback and anticipating market trends.
  3. Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality outcomes consistently.
  4. Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement.
  5. Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

Skills

Required

  • Director level engineering people management
  • managing managers
  • distributed systems principles
  • scalability
  • fault tolerance
  • consistency
  • observability
  • customer focus
  • collaboration across time zones and cultures
  • remote environment communication

Nice to have

  • entrepreneurial vision
  • bias toward action and ownership
  • navigating ambiguity
  • driving work forward in complex problem spaces
  • practical experience folding AI tools into a team's workflow

What the JD emphasized

  • Director level engineering people manager
  • managing managers
  • distributed systems principles
  • scalability
  • fault tolerance
  • consistency
  • observability
  • AI-assisted tooling
  • AI and agentic development