Product Manager AI Search (m/w/d)

Worldwide | Sept. 13, 2026

Report as Closed

Company: Moebel De

Country: Worldwide

Type: Remote

Employment: Experienced

Description:
Our project for you:

moebel.de is one of the leading online shopping portals for furniture and furnishings in Europe. Our new projectPiqit is an AI-supported shopping assistant that changes the way people find and buy products online.

Piqit advises the user interactively and finds suitable products from over 100 million offers, compares prices across numerous shops and leads directly to the right supplier - from wine and tools to electronics and household appliances to beauty, jewelry and furniture. 

We are looking for you as Product Manager AI Search (m/f/d).

Your future tasks

• In the middle of things from day one instead of just being there: You are responsible for the response quality of Piqit, our AI-supported shopping assistant, which consists of over 100 Finds the right product from millions of offers - from the first observation to the rolled out change.
• Quality here does not mean quantity of hits, but rather answer: You check whether Piqit has understood what it is about, whether the suggested products are really the right ones and whether the classification contributes to this.
• Causal research is your core discipline: If an answer is not convincing, you are sure to differentiate. whether the right products were not found at all, whether an attribute is missing or incorrectly assigned in the product data, or whether the model did something wrong from good data.
• You know the peculiarities of language models: strong when it comes to intent, nuance and language, unreliable when it comes to exact numbers, completeness and timeliness - and always sound convincing. You bring exactly this feeling into every decision.
• Hands-on instead of concept paper: you write and roll out prompt sets, hints and rules yourself, you hone attributes and facets yourself, you build test sets yourself - and you automate away recurring steps, preferably with AI support.
• You measure what works: individual cases are not proof, the same query can be answered twice differently. You test against a fixed collection of test requests and evaluate the change across all of them. The path from observation to change is short, many things go live on the same day.
• You are a sparring partner for data and engineering: you work closely with the departments on topics that are deeper in the pipeline. What you can't implement yourself, you translate into well-founded engineering and data requirements - with examples, numbers and clear prioritization.
• New shops, new data: You support the partner connection, check what the response quality really means, and say clearly if a product range shouldn't go live yet.
• Category management is your key: categories, attributes and facets determine what the assistant actually knows about a product - and because semantic similarity alone is not enough, as soon as it comes to dimensions, compatibility or hard limits, you get involved yourself.

Your strengths

• You can demonstrate relevant professional experience in e-commerce, product management or a comparable role in which you have really driven a product forward and not just supported it
• A strong hands-on mentality sets you apart - you want to build things yourself and see them live, instead of delegating them and keeping track of them
• You have worked practically with language models beyond occasional prompting: you have systematically improved prompts, compared results and know where these systems fail - ideally with solutions like Claude, ChatGPT or Gemini
• Through your feel for users

  Apply here:

  Web: Apply here

  Emails: