Job Description
Job DescriptionAbout the Role
A fast-growing, Y Combinator–backed AI startup in the supply chain space is looking for a Senior Backend Engineer to join their small, high-velocity engineering team in San Francisco. You'll build the backbone of an AI-powered platform that plans and executes how consumer goods are produced and moved globally — turning the messy, physical flow of goods into programmable, reliable, scalable systems.
This is an end-to-end ownership role at a seed-stage company (fewer than 10 people) operating at the intersection of AI, logistics, and Consumer Packaged Goods (CPG). You'll have a direct and meaningful impact on the core product from day one.
What You'll Do
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Design and implement backend systems that power AI-driven supply chain decisions and automated execution.
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Architect data models and pipelines to ingest, clean, and organize messy, real-world supply chain data.
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Ensure user requests and supply chain plans are processed in real time for reliable, 24/7 operation.
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Build scalable, high-performance SQL queries and data access patterns across large datasets.
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Ship production-grade services using modern backend frameworks and rigorous testing practices.
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Collaborate closely with the core product and engineering team to translate logistics workflows into software.
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Own and continuously improve deployment pipelines and runbook processes to keep systems running reliably.
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Leverage AI code generation and management tools (e.g., Claude Code, Codex, OpenCode) to accelerate development, including parallelizing service instances for continuous operation.
What We're Looking For
Must-haves (dealbreakers):
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5+ years of hands-on experience as a Backend Engineer with a strong track record of designing data architectures and shipping real products.
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Proficiency in Python and modern backend frameworks such as FastAPI, with testing tools like pytest.
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Demonstrated proficiency with AI-assisted coding tools (e.g., Claude Code, Codex, OpenCode), including experience parallelizing instances for autonomous, 24/7 operation.
Required skills:
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Experience organizing and managing messy, real-world data at scale.
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Strong SQL skills — writing high-performance queries over millions of data points.
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Solid system design skills; comfortable designing scalable data architectures with minimal supervision.
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Experience owning backend systems end-to-end, including real-time request processing.
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Experience with large-scale data architectures and systems engineering.
Nice to have:
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Experience building unstructured data ingestion systems.
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Experience with frontend frameworks and their testing tools.
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Familiarity with DevOps practices and AWS.
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Background or genuine interest in supply chain, logistics, or CPG industries.
Compensation & Benefits
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Salary: $110,000 – $200,000 USD annually, depending on experience.
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Early-stage equity in a well-funded, high-growth startup.
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Visa sponsorship available.
Location
This is an on-site role based in San Francisco, CA. You'll work alongside a tight-knit, fast-moving team in person. Remote arrangements are not available for this position.