Head of Go-To-Market Engineering

About the role

Responsibilities

• Hands-on Delivery - Personally lead, scope, build, test, and ship production-ready GTM workflows and automations in a matter of days, acting as architect, builder, and QA until a team is in place.
• Own the GTM product and tech stack (existing, buildout, Innovation): Marketing, Sales and customer success, making sure the entire GTM is aligned and synced.
• Scale velocity and quality: Work with GTM teams to identify data-backed automations business workflows that support GTM business goals.
• Idea-to-Outcome Ownership - Run the entire GTM innovation funnel (discovery → hypothesis → rapid build → experiment → signal) for every revenue project.
• Revenue Factory Engineering - Design the end-to-end system for targeting, acquisition, and retention for thousands of tech-skeptical SMB owners.
• Build and Train Agentic GTM Platform - Own the deployment of AI agents (SDR, CS, Support). You are responsible for rigorous training cycles and daily outputs, no “set and forget”.
• Stakeholder Demo & Adoption - Run weekly "show-and-tell" sessions with execs and drive adoption of your tools by the GTM team as hard as you drive implementation.
• GTM & SMB Fluency: Marketing-Sales-CSM terminology (goals, KPIs, motions) and GTM business flows; Deep understanding of SMB behavior.
• Proven track-record building solutions, integrating and developing over MarTech, and SalesTech Stacks (at least 3/5): • Ad platforms (Meta, Google)
• Data, Analytics, Dashboarding: GA4, GTM, Tableau, Hubspot, Databricks, Mongo.
• Communication channels automation protocols: Hubspot, AirCall, Customer.io
• Websites and forms building (performance, automation, dynamic content, security) over WordPress.
• Bespoke and custom business applications.
• 3+ years of professional experience - A hybrid background across software engineering, product management, or growth marketing.
• Technical Practitioner (AI-Native) - You are deep in the trenches with AI - not just reading about it. You are hands-on with Gen-AI stacks (Claude Code / OpenAI), automation platforms (n8n, Make, Zapier), and "vibe-coding" tools (Cursor).
• Multi-hat Execution - Proven ability to play PM, architect, and builder simultaneously in a fast-paced startup setting.
• Former Founder / Entrepreneurial Background - You have built something from scratch and know how to deliver with limited resources,
• “Getting things done” mentality - having the right mindset to crush impediments.
• Data Literacy - Strong experience with data synthesis / SQL, mostly in the CRM hygiene area , structured data enrichment, and data warehouse intelligence to ensure the AI systems actually work.

Benefits

• Commission