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The Data Engineer will transform customer data into a unified ontology, manage data pipelines, ensure data quality, and support AI systems.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

Own the technical delivery path from signed scope through customer go-live. Lead launch planning, data access architecture, systems integration, testing, cutover, go/no-go decisions, escalations, and post-launch support. Direct rotating engineers, data engineers, and QA contributors while translating between customer IT teams and internal engineering. Resolve requirements and technical tradeoffs, manage risks and dependencies, validate implementation details, and feed recurring customer issues back into product and engineering.

Own and implement security measures across cloud infrastructure and the software lifecycle: threat modeling, risk assessments, security testing, incident response, secure CI/CD, and developer enablement to remediate vulnerabilities and ensure compliance with standards.

Lead research and engineering to train and productionize specialist foundational models for supply chain. Build large domain-specific corpora, design robust evaluation frameworks beyond standard benchmarks, iterate models and pipelines through multiple release cycles, and deliver checkpoints that run reliably in production under real customer load.

Lead strategy, roadmap, and execution for Auger’s shared core platform capabilities (conversational AI, search, identity, notifications, shared workflows, navigation, reports). Productize validated customer concepts into scalable, production-quality platform features, partner with design and engineering, and create consistent cross-product experiences that accelerate innovation and simplify complex workflows.

The IT Operations Engineer supports employee technology, manages onboarding/offboarding, builds automation workflows, and ensures system reliability. They maintain IT processes for scalability in a mixed-device environment and participate in urgent support rotations.

Translate design intent into production UIs: build prototypes, implement accessible polished interfaces, collaborate with designers and product, and bridge design and engineering from early sketches through shipped product.

Design, develop, and deploy advanced AI and optimization solutions for large-scale supply chain problems. Build and scale models for forecasting, inventory, network design, and routing; solve mixed-integer and stochastic programs; collaborate with engineering and product teams; engage customers and executive stakeholders; publish and evangelize supply chain science.

Responsible for defining front-end technical vision, designing and delivering user-facing features, championing UX and performance, and building a unified design system of shared components and tokens to accelerate product delivery.