Head of User Acquisition

• •Sit across from leadership
• •Run discovery and validation conversations with our prospects' marketing leadership – CMOs, Heads of Acquisition, Performance Directors. Speak to them as a peer, not a vendor: how their team's operating model changes when agents do the execution. From experience, not from slides.
• •Work directly with the UA leadership of our most strategic accounts. Embedded in their setup, understanding how they run acquisition, calibrating the agent against their reality.
• •Take the strategic logic you've been running in your head – when to scale, when to kill, how creative cycles play out, how budget shifts across markets – and turn it into rules and skills.
• •Translate what you see in the field into product direction. You're the practitioner's voice on the team – what's missing, what's wrong, what would make the agent more powerful for the teams using it at scale.

• •Your expertise is the product — the deeper your UA knowledge, the more valuable you become, here and in the industry.
• •Work at the frontier — you're building AI technology.

#### Must Have

• •Hands-on budget management — you've personally run paid campaigns on Meta, Google, or both. Budgets $500K+/month.
• •Head / Senior / Lead UA level — you're currently a Head of UA, used to be, or are a Senior who works fully autonomously.
• •Automation experience — you've worked with automation tools or built in-house: automated rules, scripts, reporting pipelines.
• •Data fluency — SQL fluency is a plus, but what we need is a structural understanding of how advertising data works: funnels, attribution, where numbers come from.
• •AI-comfortable — Cursor, Claude Code, AI tools shouldn't be new concepts.

#### Nice to Have

• •Experience with Cursor, Claude Code, or building AI-powered workflows.
• •Public presence (LinkedIn, Telegram channel, conference talks).
• •Experience briefing developers on automation tasks.

#### Red Flags

• •Strategy or media planning only, without mechanic fluency.
• •Budgets consistently below $100K/month.
• •No automation experience at all.
• •No understanding of data fundamentals (attribution, funnels, where ad numbers come from).
• •Deep expertise in one very specific setup that can't generalize across different clients.