At Pallet, our mission is to make supply chains smarter, faster, and more flexible.
CoPallet deploys AI workers supervised by humans-in-the-loop to complete complex tasks such track and trace,β¦
At Pallet, our mission is to make supply chains smarter, faster, and more flexible.
CoPallet deploys AI workers supervised by humans-in-the-loop to complete complex tasks such track and trace,β¦
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We're hiring Product Engineers to bridge the gap between customers and our AI platform, customize solutions for enterprise clients, and collaborate with cross-functional teams to build our AI product from the ground up
They'll work directly with Aren (ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to shape the future of logistics AI β from how it's built to how it's deployed in the real world
Build & maintain the core infrastructure platform from day one β built to support thousands of AI agents running in parallel to solve real-world logistics problems
Design and implement efficient, scalable data pipelines
Develop backend systems that can scale from hundreds to millions of users
Help shape foundational engineering practices and decisions as an early team member
Act as the bridge between AI and real business needs, working closely with both engineering and customer teams
See your work in action immediately as customers benefit from more reliable, observable AI agent deployments
Why this role is different:
One of the first Product Engineers at Pallet
Building foundational systems and infrastructure to support AI model development
Combining hands-on engineering with customer interaction and product ownership
Surround yourself with top-tier talent and fast-track your career
Our tech stack:
Database: PostgreSQL
Backend: Node + TS. Encore for robust server-side dev and managed DevOps. Hosted on GCP
LLMs: Open AI, Anthropic, Google for foundation models, Playwright for browser automation
Frontend: React + TS. Hosted on Vercel
πΈ Equity for all staff
πͺ 401k option; helping you save for the future
π Yearly learning and development stipend
π Commuter benefits if you live in SF
π Fully covered uber ride home if you ever have to work late in the office
π‘ Remote office home stipend
π₯€ Monthly happy hours; our last one was a Golden Gate Park BBQ
π² Company paid dinners on Tuesdays and Thursdays in the office
π Annual Company Offsites; our last one was in Sonoma Wine Country π·
