Postscript is building a new kind of team at the intersection of GTM, Data, and AI Tools. They are seeking a GTM Automation Engineer to partner with GTM leadership and use AI coding tools to build custom solutions that enhance the sales and marketing processes.
Responsibilities:
- Systematize the GTM Motion: Partner with Sales and Marketing leadership to map out their workflows, identifying high-leverage opportunities to replace manual grunt work with automated precision
- Build "Hybrid" Automations: Design and maintain workflows that seamlessly blend low-code tools (Zapier, n8n, Retool) with custom scripts (Python, SQL) where flexibility is needed
- Develop Internal Tools: Use AI-assisted coding workflows (Replit, Claude Code) to rapidly build and deploy internal web apps that solve specific business problems (e.g., a custom lead scoring app or a renewal risk dashboard)
- Orchestrate Data: Ensure data flows reliably between our core systems (Salesforce, HubSpot, Outreach, Snowflake). You will be the guardian of data integrity
- Experiment & Iterate: Act as the lab for the GTM org. Test new AI agents, enrichment tools, and APIs. If it works, scale it; if it doesn't, kill it and move on
Requirements:
- Deep GTM Experience: 4+ years working in Revenue Operations, Sales Engineering, or Business Systems. You must understand the B2B SaaS customer lifecycle
- Automation Expertise: Proven track record of building complex workflows that handle real business logic. You know when to use a webhook and when to build a native integration
- Technical Versatility: You might not be a 'classically trained' software engineer, but you are dangerous with code. You are comfortable reading API documentation, writing SQL queries, and debugging Python scripts with the help of AI
- Communication: You can explain technical constraints to a VP of Sales and business value to a Head of Engineering