Meter is building the vertically integrated network company: hardware, software, services, ISP, data, and autonomous networks from the local network to the data center. Backed by General Catalyst and Sequoia.
About the role
Ship canonical dbt models for accounts, opportunities, marketing touches, and revenue that finance, sales, and marketing all use — replacing the four versions of "ARR by segment" floating around today. Cut the time it takes the marketing team to answer "is this channel working" from a week of manual reconciliation to a query.
What they're looking for
- You've been the analytical partner inside a GTM function — not just the analyst who delivered reports to one. You've sat in pipeline reviews, argued about attribution definitions, and built dashboards that executives actually use
- You write SQL the way most people write English. You reach for window functions, CTEs, and set operations without thinking. You can read someone else's 200-line query and find the bug in ten minutes
- You think in dbt. You have opinions about staging vs. marts, when to use incremental models, and what belongs in a snapshot. You've designed schemas that survived contact with a changing business
- You've worked across Salesforce, billing systems, marketing platforms, and product data, and you understand how they're each subtly wrong in their own way
- You can take "is our marketing spend working?" and turn it into a structured analysis with a clear, defensible answer — including what you're not sure about
- You build trust before you ship models. You know the dashboard nobody uses is worse than no dashboard at all
More about this role
Meter sells networks the way utilities sell power: as something that just works. Behind that promise is a business growing fast across enterprise customers, multi-site deployments, and a partner ecosystem.
Right now, the data that runs the business is scattered across a dozen systems that don't talk to each other. This role fixes that.
Every important decision at Meter — where to spend marketing dollars, which accounts to prioritize, how to forecast next quarter — is only as good as the data underneath it. Today, that data is fragmented across Salesforce, HubSpot, Stripe, ad platforms, partner systems, and product telemetry, and every team rebuilds its own version of the truth. We need one person to own the layer that turns those signals into something the company can actually run on.
Ship canonical dbt models for accounts, opportunities, marketing touches, and revenue that finance, sales, and marketing all use — replacing the four versions of "ARR by segment" floating around today.
Cut the time it takes the marketing team to answer "is this channel working" from a week of manual reconciliation to a query.
Build the attribution and funnel layer that lets us actually compare the...
Browse similar: Startup jobs · Remote jobs · San Francisco Bay Area