Senior GTM System Builder

Overview

In this role you own the GTM automation domain end-to-end, building AI-powered pipelines and tools that move ARR faster with minimal manual work. You’ll shape the architecture, choose build-vs-buy options, and manage vendor relationships to support a scalable commercial motion. You work closely with the Growth team to deploy production systems, monitor adoption and KPIs, and ensure reliable, observable deployments. This is a high-impact, product-driven engineering role where AI is central to the offering, not a mere productivity layer. You’ll partner with cross-functional stakeholders to translate pain points into robust technical solutions.

Pay / Benefits

• Unlimited paid holiday
• Company equity program
• Paid parental leave
• Annual learning budget
• EDGE time to develop and grow
• Work-from-anywhere policy with mobility options

Responsibilities

• Own the full lifecycle of automation and AI-tooling initiatives within the assigned GTM pod—from scoping to production and iteration based on KPI data
• Build and ship AI-powered pipelines for deal enrichment, outbound research and routing, Gong-driven coaching signals, forecasting inputs, CPQ automation, and proposal follow-up
• Design prompting architecture and agent logic used by non-technical users, with strong observability and error handling
• Own operational health of live systems: first responder, with adoption metrics, error rates, and data quality visibility
• Manage vendor relationships at pod level (Gong, Clay, LeanData, ZoomInfo): SLAs, escalations, reviews, and build-vs-buy decisions
• Support other engineers through code reviews and architecture decisions; contribute reusable patterns and integrations

Key requirements

• 4–6 years delivering production software with measurable commercial impact
• End-to-end ownership experience
• Shipped AI-powered pipelines or agents in real operational context
• Hands-on with AI development tooling and LLM APIs; MCP integrations
• Experience with Salesforce or CRM APIs and data integrations
• Comfort owning live production systems including incident response and observability
• Ability to translate operational pain into technical requirements and communicate with non-technical stakeholders

• Autonomy and ownership
• Strong communication and collaborator
• Curiosity and adaptability
• AI tooling and development (LLMs, MCP integrations)
• Experience with LLM-powered pipelines, enrichment, routing, or AI-assisted automation
• Salesforce or equivalent CRM API integrations

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