AI Engineering Lead

Confidential

Dortmund, Nordrhein-Westfalen, Germany permanent

Posted: March 10, 2026

Required Skills

Job Description

Who We Are

Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.

About Verve Retail Media

Verve Retail Media operates one of Germany’s most advanced in-store retail media platforms, spanning 2,200+ stores and partnering with leading brands such as Unilever and Nestlé, as well as major retailers including EDEKA and REWE.

In just seven months, the team has scaled from 1 to 160 employees — a trajectory that reflects both the ambition and the opportunity ahead.

The Role

This isn’t a “chatbot consultant” position. You’re the person who makes AI actually work inside a real organisation. Today, 160 people use AI like a slightly better search engine. Your job is to change that. You’ll sit with teams to uncover the workflows that waste the most time, design and build tools that remove that friction, and coach people until they can confidently run it without you.

You’ll report directly to the CEO- with the mandate to turn AI from a novelty into real operational leverage.

Find the Leverage

• Embed yourself in Sales, Ops, Finance, Marketing. Map real workflows. Identify where AI saves the most time. Prioritize ruthlessly.

Build the Tools

• Ship 3–5 production-ready AI tools in the first cycle: custom GPTs, API integrations, workflow automations. Python, MCP servers, n8n/Make, whatever gets the job done.

Enable the People

• Train AI Champions in each team. Run hands-on workshops with real data, not slide decks. Leave behind a playbook that outlasts your involvement.

Prove the Impact

• Measurable time savings in at least two teams within your first four weeks. Define baselines. Measure after. Document everything

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