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Salary: USD 150,000 - 200,000 / annual
Augmodo is building the "operating system for the physical shelf" using spatial computing and wearable AI to deliver real-time, store-level insights. The company is moving fast and needs data infrastructure to match—accurate, reliable, and production-ready.
You will own the logic behind Augmodo's Spatial Data Ingestion & Conflation Engine, building pipelines that transform raw, complex data from the edge into high-fidelity insights for retail and brand customers. This is precision-at-scale work: versioned, reliable data that powers consumer-facing dashboards.
Key responsibilities include:
- Designing and maintaining versioned data pipelines for ingestion and conflation of complex retail data (e.g., matching computer vision detections to master product catalogs).
- Ensuring data outputs meet a high quality bar for accuracy and reliability before reaching dashboards.
- Implementing a pragmatic "right tool for the job" approach: building robust rules-based normalization and regex logic for bounded tasks, while strategically integrating LLMs for high-complexity data matching and entity resolution.
- Architecting solutions mindful of retail-scale operations, ensuring AI integrations are cost-effective and performant.
- Managing the lifecycle of data schemas and pipeline logic to enable rapid iteration without breaking downstream insights.
REQUIREMENTS:
- Extensive experience building reliable, staged pipelines for complex ingestion tasks ("data plumber" mindset).
- Proven experience merging disparate, messy data sources into a unified "Golden Record" (entity resolution and conflation).
- Comfort with LLMs and prompt engineering, paired with skepticism about when simpler solutions (regex, bounded heuristics) are the better engineering choice.
- Engineering rigor: versioning code, data schemas, and pipeline logic.
BONUS:
- Experience in retail, logistics, or supply chain domains (SKUs, UPCs, physical inventory).
- Experience with spatial or geographic data (GIS, LIDAR, computer vision metadata).
