
Demand Generation Program Manager | United States | Remote
About this role
Role Overview
The Demand Generation Program Manager position at Grafana Labs is a remote opportunity based in the United States within the marketing department. This role suits an experienced professional who wants to own and scale practitioner-first webinar programs using modern AI-driven workflows.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Grafana Labs is the creator of Grafana Cloud, a fully managed observability platform trusted by over 10,000 organizations such as Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. Built on open-source standards, the company brings AI to observability to help teams manage disparate data. Operating as a 100% remote organization with team members across more than 40 countries, Grafana Labs is backed by major investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.
How to Apply
To apply for this position, please visit the official Grafana Labs careers page and submit your application online.
Questions candidates ask
Is this job fully remote?
Yes, this is a 100% remote position based in the United States.
What is the salary range for this role?
The base compensation range for the United States is $100,000 to $120,000 per year, and the role also includes Restricted Stock Units (RSUs).
How much experience is required?
Candidates must have 4 or more years of experience in demand generation, event marketing, or lifecycle marketing at a B2B software company.
What tools and platforms will I need to use?
You will use webinar platforms like ON24, Zoom Webinars, Contrast, or Goldcast, as well as CRM campaigns, Customer.io, Salesforce, and AI automation tools.
What are the main responsibilities of the Demand Generation Program Manager?
The role involves owning the end-to-end webinar calendar, briefing technical presenters, utilizing data for topic planning, automating production workflows with AI, and reporting on pipeline impact.