Naniza is a marketing studio for consumer brands. We work across Growth Strategy, Paid Media, Creative Lab and CRO, combining strategic work with AI-native workflows. We've managed €42M+ in ad spend for DTC and ecommerce brands across Europe, the US and beyond. We're small, senior and AI-native: little hierarchy, high ownership, and real influence over how the work gets done.

We're looking for a Performance Marketer to own paid media across Meta and Google for a portfolio of our consumer brands. This is a hands-on role for someone who operates fluently inside the ad platforms but thinks well beyond them: understanding each client's business, reading the right data, and making clear decisions about where spend should go and why.

The role lives or dies on analytical judgment. Platform metrics matter, but they are not enough. You connect campaign performance to the numbers that actually move the business — CAC, contribution margin, AOV, conversion rate, LTV, payback, new-customer acquisition and incremental growth — and you can defend the call you made. Part of the job is also making us better: sharpening how we run media ops, measure and report across accounts, and where AI takes work off the table.

What you'll do

A few examples of what your week looks like:

Own Meta and Google end to end — account structure, launches, budgets, scaling decisions, experiments and clean-up — across several consumer accounts at once.
Turn each business model into a paid media strategy — what to optimize for, where to spend, when to push and when to hold.
Analyze beyond dashboard ROAS — connect platform data to business metrics (CAC, contribution margin, AOV, CVR, LTV, payback) and build the analysis yourself in spreadsheets, GA4 and the platforms.
Separate signal from noise — read correlation, seasonality, attribution limits and incrementality, and judge whether a campaign is really driving impact.
Close the loop with creative and CRO — brief what the account needs from creative to learn and scale, and tie media to landing pages and customer economics.
Communicate decisions to founders — what changed, what we learned, and what we're doing next, in plain language.
Use AI daily to operate leaner — and help us improve the workflows behind media ops and reporting.

What you'll own

The paid media engine for your portfolio: spend efficiency and profitable growth across Meta and Google.
The measurement layer: the analysis and reporting that actually says whether spend is working.
The testing roadmap across your accounts — what we're learning, and what we do with it.

What this role is NOT

It's not a creative production role (that's our AI Creative Producer). You don't make the assets, but you know exactly what the account needs from creative to win.
It's not a dashboard-reporting seat. We care about decisions and outcomes, not screenshots of ROAS.

What success looks like

In your first 3–6 months:

Each account you take on has been audited and has a prioritized, brand-specific action plan you're executing against.
Meta and Google run on a clean structure with a live, visible testing cadence — anyone can see what's being tested and why.
Every account is read in business terms (CAC, contribution margin, payback), and founders trust the read.
You've moved at least one account's efficiency — CAC down or profitable scale up — and can attribute the change to specific decisions you made.

What you bring

Real budgets, real commercial pressure, results you were accountable for
Strong data fluency: comfortable in spreadsheets, GA4 and the ad platforms, able to model the basics without hand-holding.
A business-first mind: you think in terms of the client's economics, not just the ad account.
A clear sense of the difference between metrics that look good and metrics that matter.
Good judgment on creative: you know what an account needs from creative to learn and scale.
Clear written and spoken communication — you can explain numbers, trade-offs and decisions so a founder can act on them.
Hands-on with agentic AI tools — Claude Code, Codex and similar — to speed up your own analysis, build small automations and take the grunt work out of your reporting and ops. We're AI-native; we expect you to be too.
Fluent English; Italian is a plus.

Who thrives here

High-ownership operators who like being the person the numbers depend on. We're small, senior and fast — if you want a large media team and heavy process, this isn't the seat. If you've carried a portfolio's paid performance yourself and liked the accountability, it is. If you're strong but unsure you tick every box, apply anyway and show us the work.

Nice to have

Incrementality testing, geo-tests, holdouts, MMM or other measurement approaches.
DTC/ecommerce or agency background with 7–9 figure brands.
You build your own tooling on top of these tools — custom scripts, MCP integrations or agentic workflows — not just prompts.

The details

Remote, EU-based (working hours overlapping CET).
Freelance engagement on a monthly recurring fee.

How to apply

Use the form on this page. Share a short case study from your own work — the strategic reasoning behind a paid media decision and the results you achieved: the constraint you were facing, the call you made, and what changed in the business. Add which AI tools (e.g. Claude Code, Codex) you use to speed up your analysis and workflow.