AI Automation Engineer – Marketing & Operations Consulting (m/w/d) in Stuttgart, Hamburg oder Berlin – Hybrid

About This Opportunity

We are representing a confidential digital marketing consultancy with over 60 team members across multiple German locations. Our client is building integrated AI and automation systems for marketing operations and client delivery—moving beyond tool sprawl to create production-grade systems that drive measurable efficiency gains.

This is a newly created role combining hands-on engineering with client-facing consulting. You'll develop and operate the AI and automation infrastructure the internal teams use daily, then bring that same capability into client engagements—from marketing technology architecture to custom automation builds.

Responsibilities

You will build and maintain AI systems used in production—assistants, agents, automated workflows—from prototype to stable operation. You'll use Claude Code, Cursor, or whatever gets you to results fastest, and you'll own what you build: monitoring, error handling, cost management, and output quality.

You'll connect systems and create context: wiring together Google Ads API, Meta Marketing API, SEO tools, CRM platforms, Google Workspace, and MCP servers. Your work ensures AI systems have the right data—because a model is only as good as the context it receives.

On the client side, you'll advise on marketing technology stacks: which systems are truly needed, how e-commerce platforms integrate with CRM and advertising channels, where data feeds and APIs belong. You'll design client-specific automations and AI use cases, then implement them alongside specialist teams—from pitch-stage feasibility through to deployed solutions.

You'll facilitate workshops to identify where time and data quality are lost in client processes, translating findings into concrete actions. Proven internal systems become consulting offerings you help productize and sell.

You'll build tracking and analytics setups with compliant consent management, consolidating marketing data from advertising platforms, SEO tools, shops, and CRMs into coherent reporting. You'll automate recurring outputs—presentations that assemble themselves from campaign data, reports ready Tuesday morning. You'll read what the data says about campaigns, audiences, and budgets, turning it into actionable recommendations.

You'll automate quality assurance—campaign, tracking, and account setups checked systematically rather than manually. Deviations surface before clients notice. Recurring error patterns become permanent monitoring rules.

You'll enable and coach teams through ongoing support rather than one-off workshops. You'll write playbooks and documentation that others can follow independently. You'll recognize which manual work is worth automating and which should stay manual.

You'll guide decisions on which AI providers and models to use and where customer data may reside, translating GDPR, EU AI Act, and confidentiality commitments into workable team practices. You'll document systems to remain auditable and transferable.

Where external builds are needed, you'll steer developers, vendors, and tool providers from requirements through delivery to operations. On client projects, you'll interface with IT departments and technical partners, translating between marketing requirements and technical implementation.

You'll track developments in models, agent frameworks, and marketing APIs, evaluating new features critically and deciding what earns production deployment—and what doesn't.

What We're Looking For

You've built automations or AI applications that ran in production in recent years. Show us two or three examples.

You work with AI-assisted development—vibe coding—while critically evaluating outputs. You're fluent in TypeScript or Python, REST APIs, OAuth, Git, and databases. You don't need to be a software architect, but stack traces don't intimidate you and generated code doesn't go live without review.

You have hands-on experience with LLM APIs: tool use, structured outputs, embeddings, evaluating result quality, and awareness of token costs.

You understand digital marketing: campaign structures, visibility indices, attribution complexity.

You're confident in web analytics: building clean, consent-compliant tracking setups, consolidating data sources, and deriving recommendations—not just dashboards.

You've used automation platforms like n8n, Make, or Zapier—and you know when to use them versus building custom.

You're comfortable presenting to clients: explaining technical solutions so marketing leadership understands the value, and saying no when an idea doesn't pencil out.

You explain clearly, patiently, without unnecessary jargon.

You document proactively.

You're fluent in German and comfortable with English technical documentation.

You're willing to travel occasionally for client meetings and team gatherings across German offices.

Particularly valuable: Google Ads API or Meta Marketing API experience; MCP servers or custom agent setups; Google Apps Script, Slides API, Sheets API; SEO tools like Sistrix, Semrush, or DataForSEO; GA4, Google Tag Manager, server-side tagging, BigQuery, Looker Studio; consent management platforms; agency background; exposure to GDPR, data processing agreements, or IT security.

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team conducts an initial screening to understand your background and technical portfolio. We then coordinate your submission to our client. Throughout the process, we remain your primary contact. Please do not approach the client organization directly.

Your application should include work samples—a repository, a tool, an automation setup—with a few sentences on what it was for and what went wrong along the way. Video introductions are welcome as an alternative.

Pay

Compensation details will be discussed during the screening process based on your experience level and the specific scope agreed with our client.

Location: Stuttgart, Hamburg, or Berlin – Hybrid

Employment type: Full-time

Get A Job.ai is committed to fair and inclusive recruiting practices. We welcome applications from all qualified candidates regardless of background.