- 3+ years in GTM, RevOps, or growth engineering with hands-on technical build (APIs, automation, scripting).
- You build with AI, not around it: you have shipped LLM-driven GTM workflows for research, personalization, or qualification.
- Strong with Clay (multi-step enrichment, conditional branching, API connections) and a CRM (HubSpot or Salesforce); SQL or Python for data and API work; comfortable with Zapier or Make.
- Understand cold-email deliverability (domain management, SPF/DKIM/DMARC) and modern sourcing (Apollo, Sales Navigator, or similar).
- You think like a salesperson and build like an engineer, and you tie your work to pipeline, not activity.
- Excellent English in speech and writing.
You build and own the company's acquisition engine. You find, research, enrich, qualify, and reach the right accounts, and you put AI agents at the center of every step so volume scales without losing relevance. Half growth strategist, half engineer, you ship the systems the revenue team runs on and you are measured on the pipeline they produce. This role fits a builder who thinks in systems, has real GTM judgment, and ships fast.
Key Responsibilities
- Build and own the AI-native acquisition engine end to end: sourcing, research, enrichment, qualification, and outreach to the right accounts.
- Put AI at the center: LLM-driven research, personalization, and qualification (Claude or GPT inside Clay and custom workflows) so the engine scales without going generic.
- Build the outbound and signal infrastructure: Clay tables and enrichment waterfalls, intent and signal capture, and deliverability (domain warm-up, SPF/DKIM/DMARC across senders).
- Wire the data layer: connect the CRM (HubSpot or Salesforce) to workflows via APIs, Zapier, or Make; keep records clean, deduped, and trusted; model signals that predict fit, intent, and expansion.
- Own the GTM judgment loop with the founder and sales: sharpen ICP, messaging, and offer based on what actually converts, not just what ships.
- Measure on pipeline: qualified meetings and new opportunities sourced; analyze, iterate, and double down on what drives revenue.
Bonus points
- Built an acquisition engine from scratch, not just maintained one.
- Experience with agent frameworks or AI orchestration.
- Background at an AI-automation or growth-engineering team.
- Familiarity with deliverability tools like Smartlead, Instantly, or Mailreach.
What success looks like
- First 90 Days: The AI-native acquisition engine is live and sourcing qualified meetings the sales team works. The data flowing into the CRM is clean and trusted. Deliverability is healthy across all sender domains.
- Ongoing: Pipeline grows because of systems you built and maintain. You keep adding AI workflows that lift meetings and new opportunities. The revenue team runs on the infrastructure you own.