Senior Engineering Manager, Grafana Frontend

Role overview

Lead two distributed engineering squads responsible for frontend platform foundations and product navigation in a large open-source observability ecosystem. The role combines people leadership, product discovery, delivery accountability, engineering direction, and continuous improvement of how teams build and operate frontend experiences.

Responsibilities

- Manage the performance, development, hiring, and team planning of two engineering squads. - Partner with Product, Design, customers, community members, and engineering leaders to shape priorities and resolve dependencies. - Own delivery from discovery through rollout, including milestones, risk management, experimentation, and outcome measurement. - Improve planning, decision-making, delivery practices, and operational workflows through automation and practical use of AI tools. - Set technical direction for frontend platform capabilities, navigation, user experience foundations, reliability, and maintainability. - Build a culture of trust, accountability, transparent feedback, and effective delegation across distributed teams.

Requirements

- Strong experience managing software engineering teams, including senior engineers and distributed contributors. - Ability to lead hiring, capacity planning, performance management, coaching, and organizational development. - Experience partnering effectively with Product and Design while balancing customer needs, technical investment, and operational demands. - A track record of owning complex delivery commitments and intervening early when scope, quality, or timelines are at risk. - Sound technical judgment in frontend platforms, navigation, developer experience, or comparable product infrastructure. - Comfort using customer feedback, research, usage data, and experimentation to inform roadmaps and decisions.

Benefits and work setup

- Fully remote work in a globally distributed environment. - Equity participation, a company-funded allowance for approved AI coding tools, and access to current AI models. - Annual leave policy providing 30 days, including designated company shutdown days, subject to local requirements. - Structured career development, transparent communication, high autonomy, and support for onboarding.