Plumb is spend-to-revenue analytics for subscription businesses. We unify ad spend and subscription revenue into one source of truth and reconcile it to a single, trustworthy number: the one a finance team can actually run on. As a Solution Engineer, you’re the person who makes that real for each customer.
About the role
You’ll be the technical and data point of contact for a portfolio of customers, from their first connected source to the moment they trust the numbers on their dashboard. It’s a role for someone who’s equally comfortable in a SQL warehouse and in a room full of growth and finance leaders, translating messy, real-world data into answers people can act on.
What you’ll do
- Guide customers through onboarding onto Plumb, connecting ad channels and revenue sources, then shaping them into working metrics and reports.
- Turn ambiguous business questions into concrete analysis, and explain reconciliation, ROI normalization, and cohorts in plain language.
- Serve as the primary data and technical contact for your accounts, understanding each business deeply enough to anticipate what they need.
- Diagnose and resolve data and pipeline issues, and know when a one-off fix should become a permanent one.
- Feed recurring customer needs back to the product team, and collaborate to turn them into product.
- Help customers reach the point where the hard budget decisions make themselves.
What we’re looking for
- 2–4 years in a customer-facing analytics, solutions, or data role, ideally in B2B SaaS.
- Fluent in SQL and comfortable working directly in a data warehouse.
- A track record of turning open-ended business questions into insight that changed a decision.
- Excellent communication and interpersonal skills: you can hold the trust of both technical and non-technical stakeholders.
- Able to run several accounts in parallel and prioritize well.
- A proactive, adaptable, startup-builder mindset.
Nice to have
- Experience with subscription or marketing analytics: CAC, LTV, ROAS, retention.
- Python, and familiarity with BigQuery or AWS.