A complete application in a minute
Tailored resume and cover letter, ready to send.
Afresh seeks a Senior Engineering Manager for its buying product. You will lead software teams that build reliable, data-heavy tools, partnering with product and data science to steer delivery and planning in a fast-moving AI-enabled grocery environment.
The role centers on forecasting and automated ordering, ensuring outputs are trustworthy, explainable, and safe to act on while guiding strategic direction for buyers. This is a remote-first opportunity in the U.S.
Engineering · Remote in the U.S., San Francisco, California, United States · Senior level
A senior engineering manager for a buying product typically needs a record of leading software teams that ship reliable, data heavy tools, plus sound judgment on planning and delivery. A strong candidate brings depth in forecasting or ordering systems, comfort working closely with product and data science, and the ability to keep complex systems dependable for daily operational use.
AI shifts much of the routine forecasting and order drafting into the product, so the engineering leader's job moves toward making those outputs trustworthy, explainable and safe to act on. What stays human is setting direction, judging tradeoffs, and helping buyers trust and correct the system when real world conditions change.
This role builds hands on understanding of how AI forecasting and automated ordering work in grocery fresh operations, including how models are evaluated and kept reliable. That experience can be grown by studying demand forecasting and supply chain planning, then practicing with real ordering data and learning how human review fits around automated decisions.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
An AI operating system for grocery fresh departments that forecasts demand and writes purchase orders, aimed at cutting food waste and shrink.