Startups · AI

Senior Integration Engineer

Spherecast · New York City · On-site

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About Spherecast

We support multi-channel e-com brands with demand planning, replenishment and inventory optimization to avoid stockouts & overstock and improve inventory visibility. Backed by Y Combinator.

About the role

Data is the lifeblood of operating an excellent supply chain. Without clean data, everything crashes: forecasts drift, orders land wrong, and trust evaporates. The Spherecast Platform is the real-time operating system for global consumer-goods supply chains, and Agnes , our AI Supply Chain Manager, runs on top of it. The platform and Agnes are only as good as the data flowing in and the actions flowing back out. That's where you come in.

What they're looking for

  • Hands-on experience with our backend stack: Python, FastAPI, SQLAlchemy, and Pydantic, with a track record of shipping production data pipelines and integrations
  • A strong instinct for pipeline design: fetch, validate, normalize, upsert, built idempotent and re-runnable, with clean schema boundaries between the remote system's world and ours
  • Proficiency in SQL, writing high-performance queries and bulk upserts despite billions of data points for even a single customer
  • Respect for the write path: pushing AI-approved actions into a customer's ERP demands safety rails, dry runs, failure capture, and auditability
  • A habit of building for operability: structured logging, sync-run tracking, and alerting (we use PagerDuty) so failures are caught, triaged, and attributed, including telling an external stakeholder when the error is on their side
  • Claude Code, Codex, and OpenCode are your best friends. You know how to parallelize instances to make sure we're shipping 24/7, even while you sleep, and you know the ins and outs of each of them at any time
More about this role

Data is the lifeblood of operating an excellent supply chain. Without clean data, everything crashes: forecasts drift, orders land wrong, and trust evaporates. The Spherecast Platform is the real-time operating system for global consumer-goods supply chains, and Agnes , our AI Supply Chain Manager, runs on top of it. The platform and Agnes are only as good as the data flowing in and the actions flowing back out. That's where you come in.

You'll own the integration layer end to end: the connective tissue between Spherecast and the (legacy) ERPs like NetSuite, the FTP drops and S3 buckets, the data warehouses like Snowflake, Databricks, and BigQuery, and the custom sheets where supply chains actually live today, plus the write paths that push Agnes's approved decisions back into those systems of record.

External data infrastructure and systems are quirky. We want you to go deep into the nature of each external API, understand its strengths and weaknesses, and build with them rather than against them. When a connector breaks at 2am on the customer's side, your monitoring tells us before they notice.

What you'll do

Build, extend, maintain, and monitor the integration architecture...

Read the full posting on Spherecast's site ↗

Engineering

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