pacemaker.ai by thyssenkrupp Tech Stack

AI platform for supply chain optimization and demand forecasting

Software Development Düsseldorf, North Rhine-Westphalia 51–200 employees Founded 2022 Privately Held

pacemaker.ai builds an AI-driven supply chain optimization platform on Azure + Kubernetes + Python, with a modern data stack (Snowflake, dbt, Kedro, Superset). The hiring mix is heavily weighted toward data roles (3 of 5 open positions) at senior levels, paired with product hires—consistent with their active projects in AI-based forecasting and replenishment logic. Pain-point tracking shows ongoing friction around data-pipeline scalability and CI/CD maturity, suggesting they're scaling data ingestion while building internal quality practices.

Tech Stack 14 technologies

Core StackKubernetes Python PostgreSQL Miro Confluence Jira Snowflake dbt Superset Power BI Azure Teams Kedro Streamlit

What pacemaker.ai by thyssenkrupp Is Building

◆Challenges

Integrating external data sources
Improving ci/cd quality
Building shift-left qa culture
Optimizing data pipelines
Scalable data solutions
Integrating qa into development process
Scalable data pipelines
Removing impediments

▲Active Projects

Shift-left qa culture implementation
Ai-based forecasting in supply chain
Demand forecasting
Replenishment

Hiring Activity

Accelerating5 roles · 2 in 30d

Department

Data

Product

Seniority

Senior

Intern

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About pacemaker.ai by thyssenkrupp

pacemaker.ai, founded in 2022 and based in Düsseldorf, develops a cloud-based supply chain optimization platform that uses AI to analyze and improve processes across disconnected data sources. The platform targets mid-market and enterprise supply chain teams seeking cost reduction and resource efficiency through data-driven demand forecasting and replenishment automation. The company operates with 51–200 employees across Germany and Portugal, with a technical foundation in Python, Snowflake, and orchestration tools (Kedro), deployed on Azure infrastructure.

HeadquartersDüsseldorf, North Rhine-Westphalia

Company Size51–200 employees

Founded2022

Hiring MarketsPortugal, Germany

Frequently Asked Questions

What tech stack does pacemaker.ai use?

Azure, Kubernetes, Python, PostgreSQL, Snowflake, dbt, Kedro, Superset, and Power BI. Data pipeline orchestration runs on Kedro; analytics and visualization layer spans Superset and Power BI.

What is pacemaker.ai working on?

AI-based demand forecasting, supply chain replenishment optimization, and shift-left QA culture implementation. Current pain points center on scaling data pipelines and improving CI/CD quality.