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Plurio
26 days ago
120,000 – 180,000 USD
per year
Grade
Head
Work format
Remote
Employment
Full-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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. [Watch a five-minute demo.]
FOR:
subscriptions • apps • fintech • healthcare • edtech • real estate • consumer services• gamedev
FUNNELS:
mobile • web • web-to-web • web-to-app • app-to-app
TRAITS:
long sales cycles • LTV • recurring revenue
We started with the agent itself, the chat and the first skills and rules that made the daily routine faster: checking accounts and delivery, moving budgets to the winners, killing losing creatives early, relaunching the ones worth another run. Now we automate the whole media buying. Here's the full picture:
So the client's marketers stop managing media buying by hand. They set the strategy and define the goals, Plurio handles the rest, and every decision is made faster, which moves their business forward. Their attention goes into creative and strategy, and the goal we share with them is to win the competition.
Lead the team and the agent to grow client metrics on Meta at scale, and encode your media-buying playbook into the agent's skills and rules.
You lead a team of AI marketing engineers. Each one runs a client's media buying through the agent: connecting the data and ad accounts, setting the business context, and building the skills and rules the agent runs on. From there the agent runs the media buying end to end, improving the metrics with every cycle, at a speed and depth a standard media buying team can't match manually. You own three things:
The portfolio.
Your key metric is the marketing targets across the whole portfolio: clients hit them and keep growing, they see the value the agent brings, complete integration, and keep running their media buying on it.
The team.
You take on a team that's already running, and keep hiring as the portfolio grows. You onboard them as a process, run the one-on-ones, and control the quality of their work. You grow people against a grade ladder and own their level-ups. And you set priorities and balance load across the team as clients scale. We're planning for hyperscale, so you build the team system for it with mids, seniors, and team leads.
The system.
You build the system around how the AI marketing engineers work: onboarding clients, setting up the agent, and creating, adapting, and rolling out the skills and rules. You make all of it standard and repeatable. That's how our media buying methodology, the playbook we write, reaches every client and gets tested on their own data. And the best practices that prove out there flow back into the playbook, so every client is set up the same way, and what one engineer figures out reaches the whole team.
Remote · US / EMEA overlap
Full-time
OTE $120–180K/year — base + bonus
Lead the team and the agent to grow client metrics on Meta at scale, and encode your media-buying playbook into the agent's skills and rules.
Remote · US / EMEA overlap
Full-time
OTE $120–180K/year — base + bonus
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. [Watch a five-minute demo.]
FOR:
subscriptions • apps • fintech • healthcare • edtech • real estate • consumer services• gamedev
FUNNELS:
mobile • web • web-to-web • web-to-app • app-to-app
TRAITS:
long sales cycles • LTV • recurring revenue
We started with the agent itself, the chat and the first skills and rules that made the daily routine faster: checking accounts and delivery, moving budgets to the winners, killing losing creatives early, relaunching the ones worth another run. Now we automate the whole media buying. Here's the full picture:
So the client's marketers stop managing media buying by hand. They set the strategy and define the goals, Plurio handles the rest, and every decision is made faster, which moves their business forward. Their attention goes into creative and strategy, and the goal we share with them is to win the competition.
You lead a team of AI marketing engineers. Each one runs a client's media buying through the agent: connecting the data and ad accounts, setting the business context, and building the skills and rules the agent runs on. From there the agent runs the media buying end to end, improving the metrics with every cycle, at a speed and depth a standard media buying team can't match manually. You own three things:
The portfolio.
Your key metric is the marketing targets across the whole portfolio: clients hit them and keep growing, they see the value the agent brings, complete integration, and keep running their media buying on it.
The team.
You take on a team that's already running, and keep hiring as the portfolio grows. You onboard them as a process, run the one-on-ones, and control the quality of their work. You grow people against a grade ladder and own their level-ups. And you set priorities and balance load across the team as clients scale. We're planning for hyperscale, so you build the team system for it with mids, seniors, and team leads.
The system.
You build the system around how the AI marketing engineers work: onboarding clients, setting up the agent, and creating, adapting, and rolling out the skills and rules. You make all of it standard and repeatable. That's how our media buying methodology, the playbook we write, reaches every client and gets tested on their own data. And the best practices that prove out there flow back into the playbook, so every client is set up the same way, and what one engineer figures out reaches the whole team.
We compare skills, grade, work format and salary
Most often 120,000 to 178,000