Product Marketing Operations Manager | UK | Remote

GBP 74,300-89,200 per year
MIDDLE
✅ Remote

Tech Stack

AI @ 3 Communication @ 3 Grafana @ 3 Marketing @ 3 Observability @ 3 Project Management @ 6 Reporting @ 3

Details

Grafana Labs is a remote company behind Grafana Cloud, a fully managed observability platform used by more than 10,000 organizations. The Product Marketing team is part of the Product organization and works on positioning, marketing campaigns, customer-facing content, enablement, and AI-forward tools and processes.

The Operations Manager will keep the Product Marketing system running and improve it by tracking performance, reporting metrics, experimenting with AI workflows, maintaining collateral and knowledge bases, and supporting tools used by the sales team. The role involves working with software engineers to prototype and evaluate tools such as sales deck generators and competitive analysis tools before handing promising prototypes over for production development.

Responsibilities

  • Drive cross-functional initiatives across Go-to-Market, Product, and Marketing teams.
  • Own follow-ups, task tracking, and on-time completion of initiatives.
  • Coordinate with Field, Enablement, and Marketing teams on goals, priorities, shared initiatives, and enablement activities.
  • Track product marketing metrics, including the performance and usage of content, enablement sessions, and launches.
  • Interpret metrics and report findings to the team each week.
  • Experiment with AI workflows and tools, including using AI to write scripts and verifying that they work.
  • Define quality standards for AI output and codify them in evaluations.
  • Work with software engineers as they refine and deploy AI tools.
  • Test prototypes with users, such as evaluating a deck generator with sellers, writing evaluations, and communicating results internally.
  • Maintain core decks, positioning content, and enablement sessions.
  • Keep collateral accurate and current, distribute it widely, and help sellers find and use it.
  • Maintain the shared product knowledge base by identifying missing or outdated information, following up with owners, and improving maintenance processes.

Requirements

  • At least 2 years of experience in an operations, analytics, enablement, or technical support role within a Product or Marketing organization at a software company.
  • Strong analytical judgment, including the ability to use AI and other tools to retrieve data, verify results, and turn data into clear recommendations.
  • Proficiency with AI agents, including building skills and automated workflows used by multiple people.
  • Good judgment about AI output quality and the ability to codify that judgment in evaluations.
  • Ability to quickly understand software products and describe their value to SREs and platform engineers, including how observability products support their work.
  • 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.
  • Strong bias to action and a willingness to build, test, and ship.
  • Ability to manage multiple projects and priorities simultaneously.
  • Adaptability and comfort working in a fast-paced environment.
  • High emotional intelligence and strong interpersonal skills.

Compensation

  • Base compensation in the United Kingdom: GBP 74,342–89,210 per year.
  • Restricted Stock Units are included with all roles.

Benefits and Culture

  • 100% remote global culture.
  • Transparent communication and regular company-wide updates.
  • Autonomy and support in an innovation-driven environment.
  • Open-source community-driven values.
  • High-trust, low-ego culture focused on outcomes.
  • Career growth pathways.
  • In-person onboarding.
  • Global annual leave policy of 30 days per year, including 3 Grafana Shutdown Days, subject to local legislation.
  • Equal opportunity employment.

Grafana Labs may use AI tools in its recruitment process to assist in matching CV information to job postings, while the recruitment team continues to manually review applications.

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