Product & Deployment Engineer

Pallet•San Francisco, CA

8h•$160,000 - $200,000•Onsite

About The Position

Pallet is seeking Product & Deployment Engineers to deploy production AI agents within large logistics companies. This role involves working directly with customers to understand critical workflows, design and implement AI systems to automate them, and troubleshoot complex production issues. Engineers in this role will have high leverage, operating at the intersection of product, infrastructure, and customer operations, owning deployments from integration to scale. The ideal candidate enjoys solving real-world problems in dynamic environments, prioritizes outcomes, and seeks ownership of business impact.

Requirements

2–5 years of experience building and owning production systems in high-growth startups or similarly demanding environments.
Strong experience working with APIs, authentication systems, integrations, and event-driven architectures.
Proven ability to debug complex systems under real production constraints.
Comfortable operating with ambiguity and incomplete information.
Strong written and verbal communication skills.

Nice To Haves

Experience working directly with customers, partners, or external stakeholders is a plus.
Experience with logistics, supply chain software, ERP systems, automation platforms, or workflow tooling.

Responsibilities

Reverse engineer undocumented APIs, ERPs, TMS platforms, and internal systems with minimal guidance.
Design and build integrations between customer environments and Pallet’s AI platform.
Debug production failures across distributed systems, data pipelines, authentication layers, and third-party dependencies.
Work onsite with customers (~25% travel) to diagnose issues, deploy fixes, and drive successful launches.
Own customer go-lives end-to-end, from technical discovery through production stability.
Identify recurring implementation patterns and turn them into reusable product capabilities.
Influence the roadmap by translating customer problems into platform improvements.