Project marketing manager

Plurio is an AI agent that automates media buying: the whole routine on Meta, Google, and TikTok for teams spending $300K–$15M a month, from the daily analysis and the optimization calls to the execution running directly in their ad accounts. Our agents already run $500M+/year in ad spend, and our customer base has grown 5× since our public release in March. We're going into hyperscale, onboarding new clients every month, and that's why we're growing the team. Marketing is your lens; project management is the job. You own a portfolio of client accounts end-to-end and carry each one from its kickoff target to the delivered result.

• Every project has one key client metric in the unit-economics model: gross revenue growth, better contribution margin, or lower CPI/CPA without losing volume. Your job is to hit the target agreed at kickoff, within the agreed timeframe.
• You see what actually moves the metric and what doesn’t, and you say so.
• You break the target into well-formed tasks for the agent, the engineers, and yourself, each with a clear definition of done, then accept the results and bring them back to the client in the language of their metric, not the task list.
• drive the work through the task tracker: set tasks with a clear DoD, control timelines and execution, then accept, test, and deliver to the client
• keep project documentation as you go: specs, client-meeting agendas, follow-ups, analytical notes on data research and hypotheses
• manage timelines, budget, and risk
• own the paperwork end-to-end: contracts, NDAs, invoices
• take the project under control right away, run the rituals, lock in the key metrics, set up week-over-week monitoring, and keep the whole thing moving, for ~10 clients in parallel

• You can sit across from a founder, CMO, or Head of UA, pull out what actually matters to their business this quarter, and turn it into a clear target. You present and defend our work in the language their business actually uses.
• Given a stream of requests from clients and tasks from engineers, you can tell what moves the metric and what doesn’t, and reframe or drop the rest.
• You’ve managed paid advertising yourself or through a team, and you understand it from the inside: how ad accounts are built and how the management logic works — account architecture, optimization and decision logic, how to test mechanics, why the same approach grows one account and stalls another. At least one major channel at scale — Meta, Google, or TikTok (accounts around $300K+/month). Meta matters most for this role, and it’s fine if it wasn’t your only channel.
• You’ve taken a big goal, broken it into work, and delegated it across a distributed team — holding scope and timelines and accepting the results. You’ve been the person who keeps the whole thing together.
• You’ve built at least one self-contained automation yourself, enough to know its value, how to make it work for you, and how to trust it.
• Your KPI is the client’s metric: traffic that converts into paying customers, more revenue, and lower CPA.
• We agree once and it gets done, every time, without follow-up. You hold process, rituals, and SLA across ~10 accounts in parallel — for yourself and the people around you — without anyone chasing you.
• Based in CET or west toward the Americas, with overlap for client availability, including late-evening contact with US clients when needed.
• Expertise in client acquisition and sales funnels. You understand how acquisition works — which events measure the efficiency of paid traffic — and the full customer lifecycle, from intent through first purchase to repeat sales and renewals.
• You know how different funnel types are built (web, web-to-web, web-to-app, quiz) and how they differ in conversion mechanics and measurement points.
• You understand how attribution works — the main models (last-click, first-click, linear, time-decay, position-based, data-driven), what each one is good for, how they’re built, and how they’re assembled from the customer’s touchpoints along the path to conversion.
• You understand how data is structured on the back end — tables, fields, the keys that join tables, and the dimensions you slice by.
• You understand how marketing performance analytics works: the core metrics used to measure performance, how they’re calculated, which data they can’t be computed without, and the dimensions used to analyze overall results as well as individual channels.
• Будет плюсом: Agency background: used to taking a project and building the plan in your head on the spot; Public presence (LinkedIn, Telegram channel, conference talks); Experience briefing developers and engineers on tasks

• Direct influence on client key metrics.
• This role compounds your performance-marketing experience: your work moves the numbers that decide whether a client grows.
• Your expertise is the product.
• Work at the frontier: building AI that does the work of experienced performance marketers, in real client accounts.
• An AI-first team at 50+ people: Cursor, shared workspace, agents in daily flow. We don’t pitch it. We’re the example.
• Remote-first, no nonsense: work from anywhere in the supported timezones, results over hours.