Responsibilities

Design and build scalable GTM data pipelines and automation systems
Integrate systems across Salesforce, enrichment providers, outbound tools, and analytics platforms
Build internal tools that significantly improve BDR and AE productivity
Develop systems for account prioritization, routing, and orchestration
Enable AI-native workflows by building high-quality structured data pipelines
Partner with marketing, sales, and engineering to translate GTM strategy into systems
Continuously improve the reliability and performance of growth infrastructure

What You’ll Build

GTM Data Infrastructure: Customer Data Platform (CDP), data pipelines across CRM, marketing tools, and enrichment providers, account and contact intelligence systems, intent signal ingestion and propensity modeling, attribution and measurement systems
Revenue Automation Systems: Outbound automation workflows, account prioritization systems, BDR productivity tooling, campaign infrastructure, routing and orchestration workflows
Personalization Infrastructure: AI-assisted outbound messaging systems, data pipelines for personalization signals, campaign-level intelligence and experimentation
Growth Experimentation: Lead generation and conversion experiments, experimentation frameworks for GTM, web analytics and conversion optimization systems

5+ years of software engineering experience
Strong experience with data pipelines, APIs, and automation systems
Proficiency in Python, JavaScript, or similar
Experience with data warehouses and ETL pipelines
Experience building systems that impact customer acquisition or revenue
Familiarity with tools like Salesforce, HubSpot, Segment, Airbyte, Clay, or similar
Understanding of B2B growth and sales processes
Strong architectural thinking and ability to design scalable systems
Comfort working across engineering, data, and GTM teams