Customer Engineer
RevenueBase:
-
We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.
-
We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
-
We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
-
We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools.
Why We're Hiring This Role:
-
The companies building the future of go-to-market are building on top of our B2B data infrastructure. Many are onboarded and running.
-
The hardest part of being a B2B data customer is figuring out how to run the right searches across the data to get the business outcome they bought us for. They need a technical partner to help them actually succeed with the product.
-
This role exists to own the full customer lifecycle — onboarding, activation, health, and expansion — across every account we have.
-
You are the founding hire for this function. When we hire behind you, you hire them.
What You'll Do:
-
Own the "first successful search" — every new customer's activation milestone. Get them there, fast. This is the most important thing you do.
-
Own customer health across all accounts. Know which customers are getting value, which are quiet, and which are at risk — before anyone asks.
-
Drive expansion and cross-sell. As we ship new API surface area (verification, enrichment, discovery, MCP), identify which customers need what and run the expansion conversation.
-
Run onboarding at scale. 3-5 new customers per month today, scaling to 10+. Make onboarding light, fast, and reliably successful.
-
Be the voice of the customer inside RevenueBase. Sit on top of every Slack channel, every support request, every integration conversation, and tell product and engineering what customers actually need.
-
Build the function. Write the playbooks, the health scoring, the expansion motion, and the onboarding framework — then rewrite them when they stop working.
Who You Are:
-
You've owned a quota before — NRR, expansion, or retention — and know how to drive it without being pushy.
-
You've worked at early-stage companies. You are allergic to process for process's sake. You write the playbook because there isn't one.
-
You are the most technical non-developer in every room, and developers respect you. You don't pretend to be an engineer, but you're not precious about getting into the weeds.
-
You don't wait to be told. The customer's success is your outcome, and you treat it that way.
Must have:
-
Tech literacy — enough to read a customer's integration code (Python, JSON, SQL, you name it), spot what's broken, write a small script to demonstrate an API call, and be credible in a technical conversation.
-
B2B data fluency — you know what firmographics, technographics, intent, and contact enrichment are. You understand why an email bounces, why a company name match is hard, and why verification matters.
-
API mental model — REST, webhooks, rate limits, authentication, and the difference between a batch file drop and a real-time API call. You can walk a customer through integrating our MCP server.
Nice to have:
-
Direct experience in B2B data, sales intelligence, or RevOps tooling
-
Experience with MCP servers or LLM-powered agent workflows
-
Prior founding CS or founding CE experience at an early-stage company
Your First 90 Days:
-
Days 1-30: Shadow every active customer conversation. Write queries against our Snowflake environment. Sit in on sales and onboarding calls. Build a map of all customers — health, usage, expansion potential, risk.
-
Days 31-60: Take ownership of onboarding. Run the "first successful search" milestone with every new customer. Publish a customer health scoring framework.
-
Days 61-90: Identify and execute your first three expansion opportunities. Ship the v1 onboarding playbook. Tell us what you need to do this job 10x