Growth Engineer

Patch•San Francisco, CA

3d•Onsite

About The Position

The Growth Engineer at Patch sits at the intersection of revenue strategy, AI engineering, and pipeline execution. Marketing owns an ambitious pipeline target, and you are the technical force multiplier that makes it achievable for a lean team.

Requirements

Senior technical operator fluent in SQL, APIs, and workflow automation — you've owned a modern GTM stack (HubSpot, Salesforce, Clay, or similar) end-to-end
AI-native: you build with agents as a default, not as an experiment, and you've shipped AI-driven automations that moved measurable business outcomes
Outcome-oriented — you can be held accountable to pipeline numbers, not just deliverables, and you know the difference
Experience standing up or scaling outbound motions, with or without a traditional SDR/BDR team underneath you
Sharp enough to know when a number is wrong and tenacious enough to find out why
Comfortable operating with ambiguity in a lean, fast-moving environment where defining the problem is often part of the job

Responsibilities

Design and build the systems, automations, and integrations that enable our GTM teams to work efficiently and consistently.
Partner closely with Sales, Marketing, Product, and Operations to translate business needs into technical solutions.
Connect and clean our marketing and sales stack (HubSpot, Salesforce, Clay, LinkedIn, Luma) into a trusted source of truth — so pipeline reporting is reliable, attribution is defensible, and leadership questions get answered in minutes, not days.
Design and run the systems that ensure no lead, event registrant, or intent signal gets dropped — and build the outreach engine (list building, enrichment, sequencing, follow-up) that sources pipeline from accounts outside active Sales coverage.
Build the infrastructure that maps target personas to accounts, keeps contact cadences running, and triggers outreach on the right signals — so coverage of our highest-value accounts is systematic, not relationship-dependent.
Build and deploy agents for prospecting, enrichment, account research, and follow-up — and continuously push the line on what can be agent-executed vs. what requires human judgment.
Own the execution layer behind every campaign, event, and content program — audience list, follow-up cadence, tracking, and pipeline attribution — defined before launch, not after.