tl;dr

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• After 14 years in construction tech, Lea & Jonas are building the intelligence layer for the construction industry
• The largest construction enterprises in Europe — with a combined project volume of over €30bn annually — rely on Kuro every day to automate workflows and make faster, better decisions
• Construction has the most complex, unstructured data you can throw at an LLM — PDFs, drawings, 3D models, images, calculations. At Kuro you can tackle the hardest applied AI problems everyday.

Berlin, 100k€ +/- 20% (based on experience), 0.05% - 0.2% equity

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About Kuro

Kuro is the the intelligent project data system for construction. We're reimagining how construction professionals get work done and make decisions by leveraging AI to augment back-office workflows and make core data accessible.

Founded by Lea and Jonas, who bring extensive experience from scaling construction tech companies alcemy and Capmo.

After one year on the market leading construction enterprises with a combined construction volume >30 billion annually use Kuro everyday to automate workflows and make faster, better decisions.

We are 10 people based in Berlin. You will join a group of ex-technical founders and builders that are ambitious and kind.

Learn more: Careers at Kuro - Berlin

About the role

Your responsibilities

You will own and operate on improving and adding new features to our AI automation use cases. Each construction project from our customers consists of 300 - 3000 files ranging from PDFs, over drawing, scans etc. On top of these data we are builidng high impact automation or insight use cases that help our customers save days of work (e.g. one use case cuts down the workload from 5 days to 4 hours). Unlocking new levels of ROI and impact. Your job is to prototype, optimise and productionize these use cases for our customers.

You will be working closely with Jonas (CPO)

Optimize and Productionize Solutions

• Manage experimentation pipelines and perform error analysis.
• Oversee evaluations, scoring, and golden data set creation.

Enhance ML and Data Pipelines

• Continuously improve pipelines to support new and existing use cases

Refine Evaluation Processes

• Optimize evaluation and scoring systems for robust performance monitoring.

Past and current projects you would have been involved in