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

To further expand our business, we are looking for dedicated colleagues – this time for a role that has never existed here before.
We have already initiated a lot around AI and automation – and we are looking for you to accelerate these steps noticeably. Instead of tool sprawl, we are developing our own integrated systems based on AI and automation for sales and operations. In addition, AI assistants, automated evaluations from Google Ads, Meta, TikTok, LinkedIn, and our SEO tools are growing, as well as reports that write themselves and improve through Human in the Loop. Nevertheless, a large part of the customer work of our over 60 colleagues is and remains manual.
Do you read an API documentation and have a running prototype two hours later? Do you understand why an SEA manager looks at data differently than an SEO – and can you explain to a colleague without a technical background how they can use it themselves from tomorrow? Do you think of AI not as a gimmick, but as a system that must be documented, compliant with data protection, and stable in operation? Then you are exactly right with us.
To expand our AI and automation area, we are looking for you as an AI Automation Engineer – Marketing & Operations Consulting (m/f/d).
You will develop and operate the AI and automation systems that our teams use daily – and bring the same expertise to our customer projects, from marketing technology questions to consulting on automation. Your working method is AI Engineering paired with Vibe Coding: You know how to set up, operate, and secure a system cleanly – and yet you achieve a runnable result in days instead of quarters because you naturally use AI as a tool in the building process. You connect tools, create the data foundation on which these systems can work meaningfully in the first place, and enable colleagues and customers to work with them. This is how possibilities turn into measurably saved hours.
Info at www.klickpiloten.de.
 
Your Responsibilities

• Build and Operate: You will further develop our internal AI systems – assistants, agents, automated workflows – from the initial prototype to productive operation. You build yourself, with Claude Code, Cursor, or whatever else gets you to the result fastest. And you keep what you've built alive: monitoring, error cases, costs, quality of results. Built quickly does not mean disposable here.
• Connect Systems, Create Context: You will wire our tools together – Google Ads API, Meta Marketing API, SEO tools, our CRM, Google Workspace, MCP servers. You ensure that our AI systems work with the right data. This is the real leverage: A model is only as good as the context it receives.
• Customer Projects and Marketing Technology: You will advise our customers on their marketing technology stack: which systems they really need, how shop, CRM, and advertising platforms interact, where data feeds and interfaces belong. You will conceptualize customer-specific automations and AI use cases and implement them together with our specialist teams – from feasibility questions in the pitch to the solution that runs at the customer's site.
• Consulting on Marketing and Automation: You will conduct workshops with customers, find out where time and data quality are lost in their processes, and translate this into concrete measures. What proves successful internally, you will develop into a consulting offering that we can sell.
• Tracking, Consent, and Analytics: You will set up tracking and analytics setups, cleanly integrate consent management, and above all, consolidate marketing data from its many sources – advertising platforms, SEO tools, shop, CRM – into a cohesive picture. You will automate what needs to be generated regularly from this: the presentation that assembles itself from campaign data, the reporting that is ready in the sheet by Tuesday morning. And you won't stop at the numbers, but will read from the data what they say about campaigns, target groups, and budgets, and turn it into a recommendation that teams and customers can act on.
• Automate Quality Checks and Audits: You will automate our internal quality assurance – campaign, tracking, and account setups will be regularly checked by machine instead of someone working through checklists. Deviations will be detected before a customer notices them. You will turn recurring error patterns into rules that run permanently.
• Enablement and Coaching: You will train and support the teams, continuously and close to the concrete work, rather than in one-off workshops. You will write playbooks, guides, and documentation that can be understood even by someone who wasn't there. And you will recognize which manual work is worth automating and which is better left as manual work.
• Compliance, Data Protection, and Confidentiality: You will help decide which AI providers and models we use and where customer data may end up. You will put GDPR, the EU AI Act, and our confidentiality commitments into a form that the team can work with in their daily routine. You will document our systems in a way that keeps them auditable and transferable.
• External Interface: Where we don't build ourselves, you will manage external developers, service providers, and tool providers – from requirements to acceptance to operation. On the customer side, you will also be the person who speaks with IT departments and technical partners on equal footing and translates between marketing requirements and technical implementation.
• Innovation: You will observe what is happening with models, agent frameworks, and marketing APIs, soberly evaluate new features, and decide which of them deserve productive operation here – and which do not.

• Not a pure consulting role. You will advise customers, but you will also build yourself every week.
• Not a classic developer job. You won't sit in an isolated sprint, but between specialist teams and customers.
• Not a prompt engineering job. Prompts are a tool, not the product.

Your Profile

• In the past few years, you have built automations or AI applications that have been in productive use. Show us two or three of them.
• You work with AI-assisted development, keyword Vibe Coding – and can simultaneously assess what comes out of it: TypeScript or Python, REST APIs, OAuth, Git, databases. You don't have to be a software architect, but a stack trace shouldn't put you off, and generated code doesn't go into production unchecked by you.
• Practical experience with LLM APIs: Tool Use, structured outputs, embeddings, assessing result quality, and a feel for token costs.
• Digital marketing understanding. You know what a campaign structure is, what an visibility index says, and why attribution is complicated.
• Security in Web Analytics: You can set up a clean, consent-compliant tracking setup, merge data sources, and derive a recommendation from the results – not just build a dashboard.
• Experience with automation platforms like n8n, Make, or Zapier – and an opinion on when to use them and when to build yourself.
• You enjoy being in front of customers: You can present a technical solution in such a way that marketing management also understands what they gain from it, and you will say no when an idea isn't economically viable.
• You can explain: clearly, patiently, without jargon where it's not necessary.
• You document without being asked.
• German as a native language and fluent English for all documentation.
• Willingness for occasional appointments with customers and at our other locations.

• Practical experience with the Google Ads API or the Meta Marketing API.
• Experience with MCP servers or custom agent setups.
• Google Apps Script, Slides API, Sheets API.
• Experience with SEO tools like Sistrix, Semrush, or DataForSEO.
• Analytics stack: GA4, Google Tag Manager, Server-Side Tagging, BigQuery, Looker Studio.
• Further marketing technology experience: Consent management platforms like Usercentrics or Cookiebot, CDPs, or marketing automation systems.
• Agency background, so that customer project reality doesn't surprise you.
• Exposure to GDPR topics, order processing, or IT security.

• A newly created role with real creative freedom and direct access to management
• A budget for tools and models that suits this work, plus time for experimentation
• And of course tokens – more than you can use ;-)
• Great team spirit, collegial atmosphere, flat hierarchies
• Exciting projects with well-known brands from e-commerce, industry, and consumer brands
• Flexible working hours and home office/remote options
• Company pension plan, Germany Ticket subsidy, company discount, and subsidy for Urban Sports Club/Wellpass membership
• Modern central workplace in Stuttgart, Hamburg, or Berlin
• Onboarding program and regular training opportunities
• A comprehensive benefits package including a MacBook and a modernly equipped work environment

Application Process
You don't want to talk about AI, but build something with it that over 60 colleagues use every day – and advise our customers to take the same step? Then we look forward to your application.
You can skip a classic cover letter – we look forward to seeing work samples from you! Instead, show us what you've built – a repository, a tool, an automation setup, gladly with a few sentences about what it was intended for and what went wrong. Alternatively, we look forward to a short introductory video.

Contact
Please send applications via email to

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