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VOIDS is an AI-powered inventory management platform for mid-size Shopify brands. The company forecasts demand at the product level, prevents stockouts, and automates procurement decisions. Founded in June 2023, VOIDS has achieved 300% growth, processes 1B+ data points, and has €2M ARR with 50+ brands live including Hyrox and 6pm. The company is targeting €10M ARR by 2027.
As a Forward Deployed Engineer, you will own the reliability and growth of the data infrastructure end-to-end. This is not a ticket-execution role—you will identify problems, design solutions, and ship them yourself.
Key responsibilities include:
**Connectivity & Integrations**: Expand the data connector ecosystem beyond Shopify and Amazon. Evaluate, implement, and maintain new data sources while ensuring system stability. Work directly with customers to understand their data requirements and edge cases, serving as the primary technical contact for data ingestion.
**Customer & Team Collaboration**: Communicate fluently in German and English with customers during onboarding and pilots, and asynchronously with the internal team. Act as a bridge between customer needs and technical implementation, translating real-world data challenges into clean, reliable pipelines. Develop intuitive understanding of e-commerce to proactively suggest solutions.
**Data Pipeline Architecture**: Own the Bronze → Silver → Gold medallion architecture, ensuring logic between layers is airtight, well-documented, and consistent. Scale pipelines to handle more data faster and at lower cost. Find abstraction layers that enable scaling across multiple customers with unique requirements. Improve developer experience for fast iteration cycles.
**AI-Delegated Development**: Fully embrace AI tooling as a core part of your workflow. Delegate end-to-end workflows (testing, development, staging, production) to AI agents where possible. Build AI-driven pipelines that handle deep customization without system failures. Combine engineering judgment with AI automation to 10x your output annually.
**Data Quality & Reliability**: Own the full development lifecycle with automated checks at every layer. Set up and maintain robust testing environments and DataOps/MLOps workflows. Proactively identify bottlenecks, inconsistencies, and schema drift before they reach downstream consumers.
You will work directly with founders Jannik and Tobias in a small, fast-moving team where every hire shapes the company trajectory. High autonomy, real data scale, and work that ships immediately.
