Growth Engineer
Builds scalable GTM data pipelines, revenue automation, and personalization infrastructure to drive customer acquisition and revenue growth. Requires 5+ years engineering experience with Python/JavaScript, data pipelines, and tools like Salesforce and HubSpot.
About the job
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
Requirements
- 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
Preferred Qualifications
- Experience at hyper-growth companies (100%+ ARR growth)
- Building CDP or GTM data infrastructure
- AI-assisted workflow automation
- Enterprise sales GTM systems and tooling
- Experience with marketing or sales automation platforms
Skills
Python, JavaScript, Salesforce, HubSpot, Segment, Airbyte, Clay, Data Pipelines, ETL, APIs, Customer Data Platform, Automation Systems
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