Demand Generation Program Manager | Canada | Remote

Grafana Labs Grafana Labs · Data AI · United States · Remote · Marketing

This role is for a Demand Generation Program Manager at Grafana Labs, focusing on driving expansion and cross-sell demand within existing customers. The role emphasizes building and running programs using AI tools and agentic workflows to automate execution and scale operations. The ideal candidate has experience in demand generation, growth marketing, and hands-on experience with AI in marketing operations, with a focus on connecting marketing signals to sales actions and measuring program impact.

What you'd actually do

  1. Own customer lifecycle demand gen. Build and run programs that create demand inside our existing customer base — expansion, cross-sell, and adoption plays across email, in-app, web, and field channels, in partnership with sales and customer teams.
  2. Work across channels, not in one. Support and strengthen programs across paid, email, events, web, and outbound as team priorities shift. You'll be the person who can step into any channel and make the program better.
  3. Build agentic workflows. Use AI tools (Claude Code, agents, internal AI infrastructure) to automate program execution — audience building, content generation, signal detection, campaign QA — and treat automation as a first-class deliverable, not a side project.
  4. Connect programs to the sales motion. Translate marketing signals into actions sellers actually take: account coverage, buying signals, campaign follow-up. Partner directly with sales leadership on what's working.
  5. Measure what matters. Instrument your programs, report on pipeline impact honestly, and kill what isn't working.

Skills

Required

  • 5+ years in demand generation, growth marketing, or lifecycle marketing at a B2B software company
  • Proven range: you've run programs in at least two or three channels (email/lifecycle, paid, events, web, outbound) and can point to pipeline results in each.
  • Experience marketing to existing customers — expansion, cross-sell, or customer lifecycle programs
  • Hands-on with AI in your actual work: you've built automations or agentic workflows (or are visibly on that path)
  • Comfortable with data: you can pull your own numbers, sanity-check them, and build a program readout a VP would trust.
  • Strong program management fundamentals

Nice to have

  • Experience with PLG or product-led motions alongside sales-led ones.
  • Familiarity with the observability / monitoring / open source ecosystem.
  • You've worked in Marketo, Salesforce, and a modern data stack (BigQuery or similar).
  • You've written or shipped something public about AI in marketing operations.

What the JD emphasized

  • AI as a default
  • agentic workflows
  • AI tools
  • automation as a first-class deliverable

Other signals

  • AI-forward operation
  • agentic workflows
  • AI as a default
  • AI agents run real production programs