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Senior Engineering Manager, Grafana Frontend | Germany | Remote

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Remote from
Germany
Salary
EUR 124,571–149,485 / yr
Employment
Full Time
Experience
Senior
Published
Apply before
26 Nov 2026
Listing views
23
Application actions
0
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AI Summary

The role, at a glance.

Grafana Labs is seeking a Senior Engineering Manager to lead its Frontend Platform and Navigation squads for the Grafana observability product. The role combines people leadership, delivery ownership, technical direction, customer discovery, and cross-functional roadmap planning with Product and Design. The manager will guide frontend foundations including developer experience, accessibility, reliability, tooling, multitenancy, navigation, and search. Success requires strong experience managing senior engineers in distributed teams and applying AI and automation to improve engineering and operational workflows. The position is remote in Germany with an in-person onboarding requirement.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior leadership role spanning two distributed squads, technical strategy, hiring, operational accountability, and high-stakes delivery decisions. It requires balancing customer outcomes, platform investments, people development, and incident management in a rapidly scaling organisation.

Salary analysis

Estimated compensation compared with the broader EU market for similar roles.

Estimated job median (per year)Market rate
€137,028
EU market range (per year)€120k–€165k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a yearly base-compensation range of EUR 124,571–149,485 for Germany, with a midpoint of EUR 137,028. The estimated German market range for a senior frontend engineering manager is EUR 120,000–165,000 per year; this is an AI estimate rather than verified salary research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you balance roadmap delivery with long-term investments in frontend platform quality?

I would make platform work visible through measurable outcomes such as reduced delivery time, improved reliability, accessibility coverage, or lower support demand. I would then plan a balanced portfolio of customer-facing delivery, operational work, and foundational investments, reviewing trade-offs regularly with Product and engineering leadership.

Describe how you develop senior engineers and emerging technical leaders in a distributed team.

I set clear ownership boundaries, agree on growth goals, and provide frequent, specific feedback tied to outcomes and behaviours. I create opportunities for senior engineers to lead technical decisions, mentor others, and present strategy, while using regular one-to-ones and calibrated performance reviews to ensure support and accountability.

How would you approach improving navigation and search in a complex observability product?

I would start with user research, product telemetry, support signals, and direct customer conversations to identify the highest-friction journeys. The team would define success metrics, test incremental improvements through controlled rollouts, and use information architecture principles to create consistent navigation patterns across the product.

What is your approach to adopting AI tools across engineering and management workflows?

I would target repeatable, high-friction tasks such as research synthesis, test generation, documentation, incident follow-ups, and reporting. Adoption should include clear security guardrails, human review requirements, quality measures, and regular evaluation of whether the tools improve speed, accuracy, and developer experience.

How do you manage delivery risk across multiple squads with cross-team dependencies?

I establish explicit milestones, dependency owners, decision deadlines, and risk reviews early in planning. When a commitment is at risk, I make the trade-off visible quickly, align stakeholders on options, and adjust scope, sequencing, or staffing while protecting the most important customer outcomes.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

Senior Engineering Manager, Grafana Frontend

The Opportunity:

Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.

As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.

You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.

AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.

What You’ll Be Doing:

  • Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
  • Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
  • Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
  • Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
  • Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
  • Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
  • Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
  • Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
  • Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
  • Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
  • Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
  • Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.

What Makes You a Great Fit

  • Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
  • A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
  • A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
  • Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
  • Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
  • An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
  • Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.

Bonus Points For

  • Experience with React, TypeScript or comparable large-scale frontend ecosystems.
  • Experience leading a developer platform team, including support for plugins or extensions.
  • Experience with navigation, search, information architecture or resource-management products.
  • Experience delivering multitenant SaaS or major platform migrations.
  • Experience working on a widely adopted open-source product.

Compensation & Rewards:

In Germany, the Base compensation range for this role is EUR 124,571 – EUR 149,485. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

  • 100% Remote, Global Culture – As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication – Expect open decision-making and regular company-wide updates.
  • Innovation-Driven – Autonomy and support to ship great work and try new things.
  • Open Source Roots – Built on community-driven values that shape how we work.
  • Empowered Teams – High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways – Defined opportunities to grow and develop your career.
  • Approachable Leadership – Transparent execs who are involved, visible, and human.
  • Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding – We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
  • Balance is Key – We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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