This role owns the AI-native GTM engine: the systems that find, enrich, reach, and route prospects and customers, and the workflows that create new opportunities for the company. You build revenue systems with AI tooling, then run them against pipeline targets. The scope is wide on purpose. You own the motion and the measurement, so theres no gap between what you build and what you can prove.
What youll own
Outbound engine. Multi-channel outbound end-to-end: list building, segmentation, messaging, sequencing, launch, and A/B iteration across email and LinkedIn. AI-driven personalization at scale, moving prospects from first touch to booked meeting with minimal manual input from sales.
Inbound conversion. Everything between the first visit and the booked meeting: on-site conversion paths, forms, chat, scoring, routing, and speed-to-lead. Instrument every step, find where intent leaks, and close the gap with automation instead of headcount. No inbound lead should sit waiting for a human to qualify it.
CRM truth and attribution. The measurement layer under everything else. If outbound, inbound, AEO, and content cant be attributed, none of it can be optimized or defended. Own data quality across HubSpot and Salesforce.
Data and enrichment. Prospect identification and signal tracking: enrichment waterfalls, buying signals, social listening, and clean push architecture into the CRM.
AI agents and automation. Claude is a teammate here, not a chatbot. Build the agents, skills, and workflows that encode our GTM playbooks and kill anything manual.
AI content and discovery. Build the writing agents that produce inbound at volume: programmatic pages, competitor comparisons, persona and vertical landing pages, localized variants, and one asset turned into fifteen across channels. AEO is the other half of this. Buyers now start in ChatGPT, Claude, Perplexity, and AI Overviews, not on a results page, so the content has to be built to be retrieved and cited: structured content and schema, presence on the review sites and communities models pull from, and a technical layer that makes our legible to crawlers.
Customer expansion. The signal engine that finds revenue inside the base: segmentation, expansion triggers, and routing each account to the right owner or the right sequence at the right time.
The stack itself. The GTM tech stack end-to-end: evaluate, buy, integrate, and kill tools as the motion evolves, and build tools with direct impact on revenue when nothing off the shelf does the job.
Requirements: Who you are
A builder. Youd rather ship the system than write the spec.
AI-native. You build with LLMs, agents, and skills as core infrastructure. ChatGPT usage alone doesnt count.
Automation-first. You see a manual handoff and immediately think about how to remove it, including by putting an AI agent on it.
Product-oriented. You understand the value proposition from the personas point of view and can make it land.
Analytical. You can model the full funnel, build attribution, run conversion analysis, and turn it into decisions.
Founder-like mindset. You act like the outcome is yours: carry pipeline numbers, not activity metrics, spot leaks before anyone asks, and move without waiting for permission.
Preferred experience
3+ years in growth, GTM engineering, RevOps, or a builder-heavy commercial role in high-growth B2B SaaS
Hands-on building with Clay, a sequencer (Alta, Outreach, Apollo, Lemlist), and an automation platform (n8n, Make, Zapier), plus comfort with APIs, webhooks, and JSON
Deep HubSpot or Salesforce fluency: objects, workflows, reporting
Experience building LLM and agent workflows in production
This position is open to all candidates.