Dryft - Founding Full Stack Engineer, Product
Dryft - Founding Backend & ML Engineer
Dryft - Founding Research Engineer (ML & Optimization)
Founders Associate/Chief of Staff - Product Focused
<aside> 🔥 We are an early stage startup in San Francisco, backed by General Catalyst and Neo, with support from Angels like Claire Hughes Johnson (former COO of Stripe), Jeff Wilke, Sabrina Hahn, manufacturing/supply chain experts and technical leaders from Amazon, or OpenAI.
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With Dryft, we are on a quest to run entire industrial operations with AI. We do that by building a new category of agentic software that makes autonomous operational decisions (e.g. inventory planning, procurement, quoting, pricing), replacing legacy systems and enabling industrial companies to move faster—whether it’s building cars or responding to health crises.
Our first product tackles the massive 400bn USD/year inventory carrying cost problem of US manufacturers & wholesalers. We are already working with multiple world-leading machine manufacturers (e.g. $1Bn revenue) on this.
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We are building a world-class team. We learned first-hand what high performing (sports) teams look like and we’re applying those same principles to our hiring process. As such, we are looking for outliers: crazy thinkers with entrepreneurial tendencies and an inherent drive to get sh*t done.
You fit into our team if you are:
Our experience is deeply rooted at the intersection of Manufacturing & AI.