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Senior Product Manager, App o11y | Sweden | Remote

AI Summary
Grafana Labs is seeking a Senior Product Manager to define the strategy, roadmap, and growth of its Application Observability product. The role focuses on customer discovery, product analytics, and cross-functional delivery with engineering, design, product marketing, and go-to-market teams. The successful candidate will understand distributed systems, telemetry, tracing, profiling, and developer workflows. They will shape AI-first observability experiences, pricing and packaging, and product adoption in a globally distributed remote organization.
Remote from
Sweden
Salary
SEK 814,216–977,059 / yr
Employment
Full Time
Experience
Senior
Published
Apply before
11 Dec 2026
Listing views
32
Application actions
1
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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.

This is a fully remote position and we’re considering candidates in Sweden.

About Product Management:

As a Product Manager at Grafana Labs, you’ll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential.

Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers.

The opportunity:

As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences.

Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite.

You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth.

As a Product Manager at Grafana Labs, you will:

  • Transform ideas and feedback into a product vision and roadmap
  • Empathize with customer problems in order to collect user needs, requirements, and pain points
  • Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities
  • Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers.
  • Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering.

What You’ll Be Doing:

  • Transform ideas and feedback into a product vision and roadmap
  • Empathize with customer problems in order to collect user needs, requirements, and pain points
  • Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities
  • Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers.
  • Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering

What makes you a great fit:

  • A BS/BA in Computer Science, a related field, or equivalent work experience
  • 5+ years of experience in Product Management
  • 5+ years of experience in a B2B SaaS product
  • Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers
  • A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top
  • Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment
  • Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders

Bonus Points:

  • Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors
  • Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope
  • Experience with eBPF and/or automatic instrumentation
  • Experience with open source software and/or commercial open source companies
  • Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings
  • Experience operating applications in production, being on call, or troubleshooting performance and reliability issues

In Sweden, the base compensation range for this role is SEK 814,216 – SEK 977,059. 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.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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, highly technical product leadership role requiring deep domain knowledge in observability and distributed systems alongside commercial product judgment. It demands independent prioritization across complex technical, customer, and revenue trade-offs.

Salary analysis

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

Estimated job median (per year)Market rate
SEK895,637.50
SEK market range (per year)SEK800k–SEK1,100k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base compensation range of SEK 814,216 to SEK 977,059. The annual period is inferred from the compensation magnitude, senior full-time role, and Swedish market conventions because the posting does not explicitly state a pay cadence. A reasonable estimated Swedish annual market range for a senior technical product manager in observability is SEK 800,000 to SEK 1,100,000.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you prioritize investments between new App O11y capabilities and reliability improvements to existing tracing and profiling workflows?

I would combine customer impact, usage and retention data, revenue potential, strategic differentiation, and engineering risk. I would establish clear outcome metrics for both innovation and reliability, then maintain a balanced roadmap that protects core user trust while funding high-confidence growth opportunities.

How would you use customer discovery to improve an application observability product?

I would interview developers, SREs, and platform teams across different maturity levels, observe their investigation workflows, and identify where telemetry data fails to answer critical questions. I would validate themes with product data, convert them into opportunity statements, and test prototypes or lightweight releases before committing to larger investments.

What metrics would you use to evaluate the success of an AI-first root-cause investigation workflow?

I would measure activation, repeat usage, investigation completion rate, time to identify likely root cause, time to mitigation, recommendation acceptance, and qualitative trust feedback. I would also monitor false-positive rates and compare outcomes with existing manual investigation paths to ensure the workflow creates real operational value.

How would you explain technical trade-offs in telemetry ingestion, storage, and querying to non-technical stakeholders?

I would frame the discussion around customer outcomes, cost, performance, reliability, and strategic constraints rather than implementation details alone. For example, I would explain how higher-fidelity telemetry can improve diagnosis but may increase ingestion cost and query latency, then present options with expected user and business impact.

Describe how you would work with product marketing on pricing and packaging for a consumption-based observability offering.

I would align on target segments, customer value metrics, willingness-to-pay research, competitive positioning, and product usage patterns. Together, we would test packaging hypotheses that reduce adoption friction, clearly communicate value, and create logical expansion paths while ensuring the model is understandable and sustainable.

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