GTM Engineer

GTM Engineer WHAT WE ARE BUILDING AT CONVEO Conveo is the AI research platform enabling fast, affordable, and high quality consumer / B2B research. Global brands like Unilever, Google, and Orange use our AI video interviewer to generate insights across marketing, product, and research teams. THE CONTEXT Conveo is scaling from 20x revenue in 2026. That kind of growth doesn't happen with manual processes and duct-taped spreadsheets. We need someone who can code, ship, and iterate on the internal tools and automations that make our GTM team dangerously effective. Today, our GTM team runs on a patchwork of SaaS tools, manual workflows, and tribal knowledge. The opportunity: replace that with purpose-built apps, pipelines, and AI-powered workflows that compound over time. Think lead scoring models that learn, attribution pipelines that actually work, onboarding flows that activate customers faster, and AI agents that eliminate hours of manual work every week. This is not a traditional ops role. You write code. You ship apps. You build with tools like Claude Code, Supabase, Node/TypeScript, and modern APIs. You sit at the intersection of engineering and GTM, and you measure your work in pipeline generated, FTEs automated, and activation lift delivered. This role reports to the CGO (Florian) and works in close partnership with Sales, Marketing, Customer Success, and Product Engineering. YOUR MISSION 1. BUILD INTERNAL TOOLS THAT GIVE THE GTM TEAM SUPERPOWERS You don't configure off-the-shelf tools. You build what doesn't exist yet, fast, and iterate based on what the team actually needs. - Build and ship in-house applications using Supabase (Postgres, Edge Functions, Auth, Storage), Node/TypeScript, React, and Python - Create customer-facing and internal dashboards, portals, and workflows that eliminate manual work - Prototype rapidly: go from problem to working POC in days, not weeks - Own the full stack of your builds: data model, backend logic, frontend, deployment, and iteration 2. WIRE UP THE DATA AND ATTRIBUTION LAYER THAT MAKES REVENUE LEGIBLE Every dollar of pipeline should be traceable. You build the infrastructure that makes that possible. - Build and maintain analytics and attribution pipelines (GA4, GTM, CRM integrations, event tracking) - Connect the dots across tools: HubSpot, Intercom, Slack, Google Calendar, Supabase, and custom APIs - Create reporting dashboards and automated alerts that surface what matters to Sales and Marketing leadership - Design lead scoring and qualification models that improve with every cycle 3. DEPLOY AI WORKFLOWS AND AGENTS THAT MULTIPLY THE TEAM AI is not a buzzword here. You ship real LLM-powered workflows that save hours and improve outcomes. - Build AI agents and automations using Claude Code, LLM APIs, and orchestration frameworks - Create prompt pipelines, evaluation frameworks, and feedback loops for AI-assisted workflows - Automate repetitive GTM tasks: lead research, call prep, CRM hygiene, content personalization, outbound sequencing - Identify high-leverage automation opportunities across the GTM stack and ship them 4. EMBED WITH CUSTOMERS AND PROSPECTS TO ACCELERATE ACTIVATION The best GTM engineers don't just build for internal teams. They deploy solutions that shorten time-to-value for customers. - Build customer-embedded tools, onboarding automations, and integration workflows that drive activation - Work directly with enterprise accounts to prototype custom solutions that unlock expansion revenue - Create templates, starter kits, and self-serve tooling that reduce implementation friction - Translate customer feedback into product insights and internal tooling improvements WHAT WE'RE LOOKING FOR MUST-HAVES - 2-5 years of experience writing production code in TypeScript/Node.js, Python, or similar. You can build and ship a full-stack app end-to-end. - Hands-on experience with Supabase, Firebase, or equivalent (Postgres, serverless functions, ... (truncated, view full listing at source)