Head of Go-To-Market Engineering - Sauce

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. By Month 3 - Data foundation live. First 2-3 centralized AI capabilities (e.g., automated targeting or scoring) measurably improving pipeline or rep productivity. By Month 6 - At least 3 major tasks removed from human rep JDs and handled by the AI engine. Experimentation cadence established with "idea-to-signal" in days. By Month 12 - First AI agents deployed and fully trained. Revenue per rep is 2-3x industry benchmarks for B2SMB.

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. By Month 3 - Data foundation live. First 2-3 centralized AI capabilities (e.g., automated targeting or scoring) measurably improving pipeline or rep productivity. By Month 6 - At least 3 major tasks removed from human rep JDs and handled by the AI engine. Experimentation cadence established with "idea-to-signal" in days. By Month 12 - First AI agents deployed and fully trained. Revenue per rep is 2-3x industry benchmarks for B2SMB.