Marketing ManagerCubeFull Time
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Marketing Manager

About Cube

Cube is a Silicon Valley company building the agentic analytics platform. We power both internal BI and embedded analytics from one semantic layer — the metrics definitions that let humans and AI agents ask questions of data and trust the answers.

We’re a fully remote company based in San Francisco, hiring for this role in the United States. You can work from anywhere in the US and be part of a fast-moving, product-driven team.

The Role: Marketing Manager

We’re hiring a Marketing Manager to scale how we get our story in front of the right people.

This is a marketing generalist role where you’ll own the end-to-end marketing surface including campaigns, demand generation, events, partner co-marketing, social media, and the analytics that show what’s working. You plan, you run, you report.

Scope

  • Multi-channel campaigns
    Plan and run campaigns across paid and organic. Pick the angles, brief the assets, ship the campaigns, measure the lift. Cadence tied to product launches, partner moments, and seasonal pushes.

  • Demand generation
    LinkedIn, search, retargeting. Own the funnel from impression to MQL. Optimize spend, test creative, kill what isn’t working.

  • Events
    Conferences, sponsorships, webinars, dev meetups. Own the calendar 2 quarters ahead and the playbook for each — pre, during, post.

  • Partner co-marketing
    Joint webinars, co-authored content, integration launch pushes. Build the relationships and ship the programs.

  • Lifecycle
    Nurture flows, drip programs, segmented sends. Move people from new sign-up to paid user to enterprise opportunity.

Profile

  • 3+ years in marketing at a B2B SaaS or data/analytics company

  • Owned campaigns end-to-end, not just executed slices of someone else’s plan

  • Generalist range — comfortable across the funnel (top, middle, bottom)

  • Hands-on with marketing ops: Apollo, Attio, Default. You set up workflows, attribution, and reporting yourself

  • Familiar with AI tooling — comfortable using ChatGPT, Claude, and similar to automate routine work, scale output, and prototype programs faster

  • Prior experience at a data, BI, analytics, or developer-platform company is a plus

Don't wait, tomorrow could be too late.

About the company

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