Startups · AI

Forward Deployed 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

Own implementations end to end. Lead technical discovery, define milestones and acceptance criteria, run customer working sessions, and drive deployments through validation, go-live, and stabilization. Make customer data reliable. Set up and operate integrations using our existing connectors and infrastructure. Build customer-specific mappings and transformations, configure file and warehouse connections, and resolve data quality and synchronization issues. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Have shipped and operated production software, with strong Python and SQL skills and the ability to work across APIs, data pipelines, and frontend interfaces
  • Can take an ambiguous customer problem from discovery to a working solution, including scoping, implementation, testing, and rollout
  • Are comfortable leading customer calls, asking precise questions, explaining technical tradeoffs, and setting clear expectations
  • Debug systematically across source systems, data transformations, application logic, and the user interface
  • Can manage several customer implementations at different stages while keeping commitments and priorities clear
  • Use AI coding tools effectively and take responsibility for the quality and reliability of what you ship
More about this role

Bring the Spherecast Platform , our real-time operating system for global consumer goods supply chains, into customers’ daily operations. Agnes , our AI Supply Chain Manager, runs on this foundation to evaluate production, purchasing, and inventory decisions and execute approved actions in their ERP.

As a Senior Forward Deployed Engineer, you’ll own getting Spherecast live and delivering value for the brands you work with. You’ll work directly with supply chain operators and customer IT teams, understand how their business runs, connect their data, configure their workflows, and ship the code needed to make the implementation successful.

Each brand you own will know you as its primary technical partner. You’ll drive the work from discovery through go-live and ongoing adoption, with the engineering judgment to solve problems yourself and bring in the right specialist when needed.

In a typical week, you might move a customer from file uploads to Snowflake, investigate why inventory numbers don’t reconcile, map how goods move between manufacturers and warehouses, or build a supplier performance dashboard.

Own implementations end to end. Lead technical discovery, define milestones and...

Read the full posting on Spherecast's site ↗

Engineering

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