We’re an early-stage, True Ventures–backed startup using AI to modernize back-office operations for material manufacturers in the US. Our platform deploys AI agents that automate procurement, logistics, supplier sourcing, and demand planning — aggregating supplier data into a live graph that manufacturing teams use to run their operations.
As a Senior/Staff Software Engineer (Platform), you’ll build the core software layer that enables autonomous manufacturing operations. This is a high-ownership, central role: you’ll design scalable backend services, intelligent data pipelines, and integrations with ERP and freight systems that move physical goods reliably. You’ll also coordinate AI-powered agents and high-stakes transaction processing across complex manufacturing workflows.
Visa sponsorship is available for this role.
What You’ll Do
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Design and scale backend services: Architect Next.js API routes, background jobs, and serverless functions that handle high-throughput order processing.
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Build AI-powered agents: Develop and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for intelligent quote analysis and supplier recommendations.
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Own the data layer: Design Supabase/PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships.
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Architect event-driven systems: Build reliable pipelines for order state management, notification triggers, and cross-system synchronization.
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Implement caching and rate limiting: Design strategies for external API calls to ensure reliability at scale.
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Drive platform reliability: Establish monitoring, alerting, and observability patterns; own incident response for backend systems.
What We’re Looking For
Required:
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Experience working within the supply chain domain (manufacturing, procurement, sourcing, or logistics).
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Strong CS fundamentals — all educational backgrounds are welcome.
Strongly valued:
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Experience designing reliable data processing with transactional guarantees: ACID semantics, exactly-once processing, and idempotent APIs.
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Experience with NLP/ML pipelines to extract data from unstructured documents and emails, including OCR and information extraction.
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Domain knowledge of manufacturing supply chain, procurement, and logistics workflows.
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Experience integrating with ERP systems (e.g., SAP, Oracle) and freight/carrier APIs, including legacy or poorly documented interfaces.