Location: Remote — Latin America (LatAm) • Reports to: Head of Analytics (TBD) • Type: Full-time • Created: Jule 2026

🚀 We're building AI agents for performance marketing.

Plurio is the AI agent for media buying teams running $300K–$15M/month on Google, Meta, and TikTok. It connects to your internal backend data and your ad accounts, automates analysis and optimization, saves 50% of time, and boosts ROAS by 10–30%. Watch a five-minute demo.

Plurio transforms how media buying teams work:

1. From manually analyzing dashboards → to the AI agent doing deep data research in minutes.
2. From manually adjusting budget → to the agent suggesting optimal split at channel, campaign, and ad-set level.
3. From manually killing / scaling / relaunching creatives → to agents autonomously performing those actions in ad platforms, based on full-funnel data.
4. From decisions made with gut feeling → to agents optimizing automation rules with historical data and ML models.

Our agents already run $500M+/year in ad spend (see this inside a $20M+/year UA team). Since our public release in March, our customer base has grown 4× in 10–12 weeks.

Our goal — and the mission we'd build together — is the autonomous user acquisition factory that runs 10× better than anything that came before, growing budgets under management to $30B/year.

🚀 The Role

We build AI that does performance-marketing work. To do that, the AI — and the humans steering it — need a rock-solid analytical foundation: clean attribution, end-to-end funnel visibility, and a real understanding of how money actually moves across Meta, Google, and the rest of the stack.

That foundation is what this role owns. You're the person who can look at messy cross-channel data and say not "CTR dropped" but "here's why the unit economics don't work and what to do about it." You understand attribution from the inside — first touch vs. last touch, multi-touch paths, custom windows, LTV-driven optimization for funnels where the purchase doesn't happen on day one.

But we're not hiring a classic analyst who lives in spreadsheets. Industry analysts spend 60–70% of their time preparing data and only the rest analyzing it. We invert that. You'll use AI agents (Claude Code, Cursor, Codex) to build the workflows, queries, and automations that kill the grunt work — so your time goes to judgment, not janitorial data prep. You write SQL like a native language, and you teach an AI agent to write it for you and check its work.

If owning marketing analytics + attribution and building AI-driven analytical workflows sounds like your kind of problem — read on.

🎯 What You'll Own

Marketing attribution & measurement Own how we model attribution and measure performance across channels — first/last/multi-touch, custom windows, cross-channel paths, LTV-driven logic for complex funnels. Make the numbers trustworthy and explainable.