Member of Technical Staff, Agent Delivery

Pallet•San Francisco, NY

12d•Onsite

About The Position

Pallet is building AI Agents to transform the physical economy — a $12 trillion global industry. We’ve raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we’ve achieved 700% revenue growth and are just getting started. Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow supply chain teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time and integrate directly with customer systems. As companies across the physical economy look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep supply chain expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company powering the physical economy. Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology.

Requirements

2–5 years of experience building and owning production systems in high-growth startups or similarly demanding environments.
Strong experience working with APIs, integrations, authentication systems, and event-driven architectures.
Proven ability to debug complex systems in production.
Comfortable operating in ambiguous environments where documentation is incomplete, and requirements evolve quickly.
Strong communication skills and the ability to build trust with technical and non-technical stakeholders.
Experience working directly with customers is a strong plus

Responsibilities

Reverse engineer undocumented APIs, ERPs, TMS platforms, and internal tools with minimal guidance.
Design and build integrations between customer systems and Pallet’s AI platform.
Debug production failures across distributed systems, authentication layers, data pipelines, and third-party services.
Work onsite with customers to diagnose issues, ship fixes, and drive successful launches.
Own customer deployments end-to-end, from technical discovery through production stability.
Make pragmatic engineering tradeoffs under real-world constraints and tight timelines.
Identify recurring implementation patterns and turn them into reusable product capabilities.
Partner closely with engineering and product teams to shape the roadmap based on customer needs.