Back to Jobs

Paid Operations Engineer /AI / Automation/ /m/f/d/

Remote, USA Full-time Posted 2026-06-17

Your daily business Imagine you ship an automation in a few days that removes a recurring paid-ops pain (budget pacing checks, QA, naming hygiene, tracking validation). Two weeks later it runs reliably across accounts, saves the team hours every week, and improves data quality and performance at the same time. At YOYABA we’re building leverage through operations, automation, and AI-first workflows - so paid media doesn’t just get “managed,” it becomes systematically scalable. This isn’t a classic performance marketer role and not a pure data role either. It’s ops + engineering with ownership, speed, and measurable impact. The role We’re looking for a Paid Operations Engineer who understands the realities of paid platforms, can set up and maintain clean marketing/measurement systems, and builds automations + data flows that hold up in production. Two focus areas:

  • Automation & AI-first Engineering: workflows, integrations, scripts, and small tools that solve paid ops problems permanently (not just once).
  • Paid & Marketing Operations: Collaborate with the performance Marketing team on governance, QA, tracking/attribution hygiene, pacing, reporting aimed at fewer manual steps, fewer mistakes, better decisions.

You won’t get a ticket list. You’ll get goals, context, and ownership: find → build → measure → iterate. What you’ll do Build automations, integrations & lightweight tools

  • Automate repetitive paid/marops workflows (reporting, alerts, QA, pacing, feed/asset checks, campaign setup, Ad Manager activities, etc.)
  • Build on top of existing infrastructure (BigQuery, Postgres, G-Cloud, n8n).
  • Use AI (coding) tools as your acceleration layer (e.g., n8n, Claude Code, Cursor) to prototype, refactor, test, and document faster.
  • Keep it production-minded: structured outputs, quality controls, tool/function calling, security, so the solutions stay reliable.
  • Build robust pipelines: pull → normalize → validate → surface (dashboards, alerts, internal views).
  • Turn tribal knowledge into intelligent systems: clear logic, instructions, iterations.

Co-operate with the Performance Marketing Team on Operations

  • Co-own standards for Campaign and asset execution (processes).
  • Support with tracking setups and debug tracking/attribution pragmatically: isolate root causes fast, fix cleanly, prevent regressions.
  • Build views that make Ops decisions easier and iterative (pacing, funnel, CAC/ROAS, data quality).

Tech environment

  • Paid platforms: Mainly Google Ads, Meta Ads, LinkedIn Ads, (+ Bing Ads, Reddit Ads, etc.)
  • Tracking & measurement support: Google Tag Manager, Google Analytics 4, conversion APIs
  • Data stack: Windsor, BigQuery, postgres, g-cloud
  • Automation tooling: n8n, g-cloud
  • Collaboration: Asana, Google Workspace, Slack, Figma

What success looks like (first 3 - 6 months)

  • Noticeably less manual work, higher data quality, and smoother scaling across accounts/projects.
  • Integration of your solutions in larger tech stack & daily work of paid team
  • 3 - 6 automations/tools that demonstrably save time or prevent errors.
  • An upgraded ops/performance dashboarding (dashboards + alerts) that helps drive decisions.

Requirements

Must-haves

  • Ops mindset + ownership: you like standards, reliability, and measurable outcomes.
  • Hands-on paid ops: you understand real campaign operations (QA, pacing, tracking, platform quirks).
  • Automation / engineering capability: you can work with APIs, webhooks, data formats, and build workflows or scripts (Python/SQL/Node and/or automation tools).
  • Analytics/BI competence: you can structure data so decisions improve (not just dashboards).
  • AI-first working style: you actively use AI tools to move faster and ship higher-quality systems-with a pragmatic, non-hype mindset.

Nice-to-haves

  • CRM/lifecycle experience (e.g., HubSpot or Salesforce).
  • You’ve built internal “ops products” before (adoption, UX, guardrails, monitoring).
  • Agency experience across multiple accounts.

Warum wir?

  • High ownership, low bureaucracy, outcome focus.
  • Your impact is visible (time saved, quality improved, performance scaled).
  • You help define how YOYABA builds Paid Ops + AI-first workflows going forward.
  • A team of A-players & start-up founders who strive for growth
  • A culture of ownership, high performance, and honesty
  • A unique coaching program with sessions to continuously develop yourself personally and professionally
  • With Humanoo you can not only join fitness challenges with your colleagues but also have 1:1 sessions with psychologists to bring your mental & physical health to the next level
  • Whether it’s the gym or Urban Sports – we naturally subsidize your workout routine
  • Workations can also be made possible with us and are lived & loved by our YOYABees
  • To ensure you’re taken care of even after your time with us, we subsidize your company pension plan with up to 60% of your contribution

Original job Paid Operations Engineer /AI / Automation/ /m/f/d/ posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs. Apply tot his job Apply To this Job

Similar Jobs

Sr. Consultant - Secure Cloud Transformation (AWS/Azure) | Remote, USA

Remote, USA Full-time

AWS Data Architect /Cloud Consultant

Remote, USA Full-time

Senior AWS Cloud Consultant Data, DevOps & AI

Remote, USA Full-time

Netflix Easy Remote Data Entry For Teens From H...

Remote, USA Full-time

Experienced JAVA Software Engineer (AWS/Java/Spring): HYBRID

Remote, USA Full-time

Senior Cloud Engineer III – Azure‑Focused Remote Role Driving Scalable Cloud Infrastructure & Automation at FedEx Dataworks

Remote, USA Full-time

Azure Cloud Engineer - Contract

Remote, USA Full-time

Azure Consultant - Remote from Ukraine

Remote, USA Full-time

B2B Marketing Manager - Brave Search APIs

Remote, USA Full-time

Remote B2B Sales Executive - Full-time

Remote, USA Full-time

Experienced Virtual Data Entry Clerk – Remote Work Opportunity in Rock Hill, SC at arenaflex

Remote, USA Full-time

Experienced Data Entry Clerk – Flexible Remote Work Opportunity with arenaflex

Remote, USA Full-time

Sales Representative

Remote, USA Full-time

Remote Customer Service Representative I- RMTA

Remote, USA Full-time

HR Trainee (3-Month Fixed-Term)

Remote, USA Full-time

Product Manager – Clinical Workflows, Cloud Enterprise Viewer – Remote

Remote, USA Full-time

Customer Retention Representative (Part-Time PM Remote)

Remote, USA Full-time

Data Processing Specialist

Remote, USA Full-time

Experienced Full Stack Software Engineer – Web & Cloud Application Development

Remote, USA Full-time

IHBS Therapist– 4-day work week!

Remote, USA Full-time