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Product Marketing Operations Manager | UK | Remote

AI Summary
Grafana Labs is hiring a Product Marketing Operations Manager to improve operating rhythms, analytics, collateral, and cross-functional execution for its Product Marketing organization. The role partners with Product, Marketing, Enablement, field teams, and engineers to measure performance and coordinate shared initiatives. A major focus is experimenting with AI workflows, scripting prototypes, defining evaluation criteria, and helping engineers productionize useful tools. The successful candidate will maintain product knowledge and enablement assets while independently solving ambiguous operational problems in a fast-moving remote-first software company.
Remote from
UK
Salary
GBP 74,342–89,210 / yr
Employment
Full Time
Experience
Senior
Published
Apply before
11 Dec 2026
Listing views
44
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.

The Opportunity:

Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana’s offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them.

Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.

The Operations Manager keeps the Product Marketing system running and makes it better. You’ll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You’ll work closely with the team’s software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You’ll also coordinate with the field, Enablement, and Marketing so we understand each other’s goals and make progress on shared initiatives.

For this role you don’t need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems.

What You’ll Be Doing:

  • Projects and Cross-Functional Initiatives: Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion.
  • Cross-Team Coordination: Coordinate with the field, Enablement, and Marketing teams so we understand each other’s goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team.
  • Analytics and Reporting: Track the product marketing team’s key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week.
  • AI Experimentation and Prototyping: Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally.
  • Collateral Management: Maintain the team’s most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it.
  • Knowledge Base Stewardship: Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date.

What Makes You a Great Fit:

  • 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company.
  • Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations
  • Proficiency with AI agents, including building skills and automated workflows that more than one person uses
  • Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations
  • Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them
  • Ability to build dashboards and pages in Grafana, or to learn quickly
  • Strong project management and organizational skills
  • Excellent verbal and written communication skills, including presenting data to a team

Bonus Points For:

  • Strong bias to action: you build, test, and ship instead of waiting for permission
  • Able to manage multiple projects and priorities at once
  • Adaptable, flexible, and comfortable in a fast-paced environment
  • High emotional intelligence and strong interpersonal skills
  • Our team knows its goals and can see its progress toward them
  • More people outside the team use our AI tools and collateral
  • Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org

Compensation & Rewards:

In the UK, the base compensation range for this role is GBP 74,342 – 89,210. 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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Role DNA

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

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position combines operational leadership, data interpretation, AI workflow evaluation, and stakeholder coordination across several functions. It requires strong judgment in an ambiguously defined role and the ability to turn experimental prototypes into repeatable operating practices.

Salary analysis

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

Estimated job median (per year)Market rate
£81,776
UK market range (per year)£70k–£95k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a UK base compensation range of GBP 74,342 to GBP 89,210. The annual period is inferred from the professional full-time role and the magnitude of the UK base-pay range, as no explicit cadence is stated. The estimated UK market range for a Product Marketing Operations Manager with AI, analytics, and cross-functional operations responsibilities is GBP 70,000 to GBP 95,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you build a weekly reporting process for a Product Marketing team?

I would first align on the decisions the team needs to make, then define a small set of actionable metrics for content usage, enablement participation, launch performance, and adoption. I would automate reliable data collection where possible, validate data quality, and present trends with concise recommendations and clear owners for follow-up actions.

Describe how you would evaluate an AI-generated sales deck prototype before handing it to engineers for productionization.

I would define the target user, intended use case, required source information, and measurable quality criteria such as factual accuracy, positioning consistency, usefulness, and formatting. I would test representative prompts with sellers, collect structured feedback, document failure modes, and create an evaluation set that engineers can use to measure improvements over time.

How do you manage a cross-functional initiative when priorities differ among Product, Marketing, Enablement, and Sales?

I make goals, dependencies, owners, and decision points visible from the start. I use a shared plan with regular status updates, surface trade-offs early, and connect each team's work to the agreed business outcome so that discussions stay focused on impact rather than individual preferences.

What steps would you take to keep a product knowledge base accurate and current?

I would establish content ownership, review cadences, and lightweight update triggers tied to product releases, launches, and positioning changes. I would also monitor usage and search gaps, identify stale or missing content, and create a simple intake and approval workflow that makes maintenance part of normal team operations.

How would you explain observability value to an internal stakeholder who is unfamiliar with SRE work?

I would explain that observability helps engineering teams understand what is happening inside complex systems by connecting metrics, logs, traces, and related signals. This enables teams to identify incidents faster, understand root causes, improve reliability, and make more informed operational decisions.

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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