Product Marketing Operations Manager | UK | Remote

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.