Founding GTM Engineer

Job description Founding GTM Engineer About Proton Proton is building the AI infrastructure for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. Distribution is a $9 trillion industry, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time deepening customer relationships, not entering data. We hire people with high agency and high urgency. At Proton, everyone is a builder who owns problems end to end and ships AI-native software faster than anyone else in the category. The median Proton customer reports 3x profit return per dollar spent, an extra day of sales per rep per month, and “the best ROI of any tech investment in 30 years.” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across industrial, HVAC, and electrical — run on Proton. We’re backed by Felicis Ventures (Twitch, Shopify, Opendoor) and Battery Ventures. If you want to build the systems that shape how trillions of dollars of physical goods move through the economy, Proton is the place to do it. The role: Revenue Operations is the engine room of Proton’s go-to-market. We’re hiring our first GTM Engineer to design, build, and scale the systems that power it: the data, workflows, dashboards, and AI-native infrastructure that make every BDR, AE, and CSM faster every quarter. This is a senior IC role. You’ll write the workflows, build the dashboards, and ship the systems yourself, partnering closely with Marketing, Business Development, Sales, CS, and Finance. Today, much of this work runs through an external agency. You’ll absorb that scope, exceed it, and go far beyond — into clean data architecture, forecasting, deal desk, comp, and AI-native ops that compound over time. What you’ll do: Build AI agents from scratch that autonomously run GTM workflows: lead enrichment and scoring, outbound campaign generation, pipeline hygiene, signal monitoring, forecast updates, comp queries, deal desk triage Own the HubSpot stack end-to-end: data models, automations, reporting. You read every release note and ship the workflow by Friday Build outbound automation, enrichment pipelines, signal-driven plays, and lead scoring in Clay. Ship clean systems without over-engineering Own CRM hygiene end-to-end: dedupe, validation rules, field governance, ownership integrity, so dashboards, forecasts, and outbound plays sit on data reps actually trust. Instrument the lead → opportunity → closed-won funnel and own pipeline health, forecasting hygiene, and segment-level performance Build new-business and net revenue retention forecast models the executive team trusts in board prep, with documented and defensible assumptions Design territory, coverage, and governance: accurate segmentation, clean ownership transitions, documented operating rhythms Stay on the cutting edge of agentic AI: model capabilities, tool-use patterns, multi-agent orchestration, MCP, evals, and bring what you learn into production fast Build reusable agent infrastructure and documentation so the GTM team can operate and trust what you’ve built Take projects from 0→1: prototyping, deployment, monitoring, iteration You’ll thrive if: You’ve built revenue systems from scratch — not just maintained someone else’s You’re a HubSpot expert at the architecture and admin level; you probably have opinions about associations Clay is muscle memory; you can describe Clay tables you’re proud of and why You have a deep passion for AI: you keep up with the latest releases, experiment constantly, have fully integrated AI into your workflows, and vibe code on the weekend You have production experience with Claude or comparable models (automation, enrichment, dashboards, agentic workflows, MCP servers) You’ve got strong data intuition and clea