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# Engineering Manager – Observability | Sweden | Remote

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/grafana-labs.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [Spain](https://jobicy.com/job-region/spain.md), [Germany](https://jobicy.com/job-region/germany.md)+2 more, [Sweden](https://jobicy.com/job-region/sweden.md), [Ireland](https://jobicy.com/job-region/ireland.md)SalarySEK 878k–1,098k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished14 Oct 2026Apply before13 Nov 2026Listing views48Application actions4Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Grafana Labs is hiring an Engineering Manager to lead the Ingest team responsible for Fleet Management, Kubernetes Monitoring Helm Chart, and Instrumentation Hub capabilities. The manager will develop a distributed team of backend and frontend engineers while guiding delivery from ideation through post-launch. The role requires strong leadership across product, engineering, and go-to-market, with a customer-focused approach to complex observability workflows. Candidates should understand distributed systems, observability or OpenTelemetry, and remote collaboration across time zones. This is a remote role limited to candidates in Germany, Sweden, Spain, Ireland, and the UK.

## Role DNA

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

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior people-leadership role in a high-growth observability organization, requiring technical credibility in distributed systems alongside ownership of delivery and team performance. The manager must align multiple stakeholders while leading an autonomous, globally distributed engineering team.

## Salary analysis

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

Estimated job median (per year)Market rateSEK988,000SEK market range (per year)SEK850k–SEK1,200k0SEK1,320k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a Swedish base-compensation range of SEK 878,000–1,098,000. The annual cadence is inferred from the full-time engineering-management context and the scale of the SEK amounts. The midpoint is SEK 988,000 per year; an estimated Swedish market range for a comparable engineering manager is SEK 850,000–1,200,000 annually.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Engineering management](https://jobicy.com/jobs?search_keywords=Engineering%20management.md)[People leadership](https://jobicy.com/jobs?search_keywords=People%20leadership.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[OpenTelemetry](https://jobicy.com/jobs?search_keywords=OpenTelemetry.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[Backend engineering](https://jobicy.com/jobs?search_keywords=Backend%20engineering.md)[Frontend engineering](https://jobicy.com/jobs?search_keywords=Frontend%20engineering.md)[Technical strategy](https://jobicy.com/jobs?search_keywords=Technical%20strategy.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Remote team leadership](https://jobicy.com/jobs?search_keywords=Remote%20team%20leadership.md)[Product delivery](https://jobicy.com/jobs?search_keywords=Product%20delivery.md)[Customer focus](https://jobicy.com/jobs?search_keywords=Customer%20focus.md)[AI-assisted development](https://jobicy.com/jobs?search_keywords=AI-assisted%20development.md)

Sample interview questionsHow would you balance team autonomy with consistent delivery across a distributed engineering team?I would establish clear outcomes, decision boundaries, and measurable milestones while allowing engineers to choose the best implementation approach. Regular planning, lightweight written updates, and retrospectives would provide visibility without creating unnecessary control.

Describe how you would improve the experience of deploying and managing observability collectors at scale.

I would begin with customer journey data and operational pain points, then align product and engineering on the highest-friction deployment steps. I would prioritize safe defaults, clear configuration workflows, reliable fleet controls, and feedback loops that demonstrate whether customers are achieving faster instrumentation and lower operational overhead.

How do distributed-systems principles influence your leadership decisions?

They help me focus teams on explicit reliability goals, failure modes, scalability limits, and observability from the start. I encourage teams to make trade-offs visible, use operational metrics in planning, and design for gradual rollout, recovery, and learning from incidents.

How would you collaborate with go-to-market teams without losing engineering focus?

I would create structured channels for customer insights, recurring issues, and strategic account needs, then translate those inputs into evidence-based priorities. I would be transparent about trade-offs and ensure urgent requests are evaluated against product strategy, reliability commitments, and team capacity.

What does a psychologically safe engineering culture look like in practice?

It means people can raise risks, challenge decisions, ask for help, and discuss mistakes without fear of blame. I reinforce this through constructive incident reviews, clear expectations, regular career conversations, inclusive meeting practices, and recognition for learning as well as delivery.

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](http://grafana.com) and follow us on [LinkedIn](https://www.linkedin.com/company/grafana-labs/) and [X](https://twitter.com/grafana).

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.

### This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

The opportunity:

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

What is the Ingest team?

We build and maintain the configuration and deployment tooling that bridges the gap between “I want observability” and “I have observability,”. To achieve this the team owns [Fleet Management](https://grafana.com/docs/grafana-cloud/send-data/fleet-management/introduction/), the [Kubernetes Monitoring Helm Chart](https://grafana.com/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/configuration/helm-chart-config/helm-chart/), and the [Instrumentation Hub](https://grafana.com/blog/instrumentation-hub-a-guided-scalable-way-to-roll-out-your-observability-coverage-without-losing-control/). Fleet Management is the cloud-based central control plane our customers use to manage hundreds of thousands of Observability Collectors in the wild. The Kubernetes Monitoring Helm Chart is used to effectively deploy Observability Collection in Kubernetes based environments. The Instrumentation Hub seamlessly combines Fleet Management and the Kubernetes Monitoring Helm Chart to achieve a magic 1-command instrumentation experience.

What You’ll Be Doing:

* Manage and develop the team of backend and frontend engineers, providing regular feedback and supporting each person’s growth through career conversations. This is a remote team, distributed between EMEA and NASA.
* Collaborate closely with go-to-market to ensure customers and prospects are successful with their Observability collection journey.
* Work closely with product and engineering leadership to ensure Fleet Management, the Kubernetes Helm Chart, and the Instrumentation Hub fit seamlessly into the end-to-end user experience for Grafana cloud products.
* Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality results consistently.
* Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement.
* Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.

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 paired with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.

### What Makes You a Great Fit:

* Experience in either of these areas is a strong advantage: Observability (especially OpenTelemetry), or building a central control plane that manages fleets of collectors.
* You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product focused.
* While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face.
* Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
* Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
* Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
* Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability.
* Comfort with AI-assisted tooling. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow.

Compensation & Rewards:

In Sweden, the Base compensation range for this role is SEK 878,000 – SEK 1,098,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout 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.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our [privacy policy](https://grafana.com/legal/applicant-and-candidate-privacy-policy/).

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[Apply now >](https://jobicy.com/jobs/155280-engineering-manager-observability-sweden-remote.md)

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