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Pallet

Automates transportation and warehousing operations

Software Engineer - Agent Delivery

AI Application EngineeringUpdated on Nov 12
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 3 years of experience building and owning production systems in high-growth startups or similarly demanding environments.
  • Strong experience with APIs, integrations, authentication systems, and event-driven architectures.
  • Ability to debug complex systems in production.
  • Ability to operate in ambiguous environments with incomplete documentation and quickly evolving requirements.
  • Ability to build trust with technical and non-technical stakeholders.
  • Experience working directly with customers is preferred.

Responsibilities

  • Lead customer deployments from problem definition through production, designing, prototyping, building, and deploying AI agents and workflows that operate reliably at scale.
  • Embed in customer workflows and build relationships with individual contributors, operators, and executives, translating business requirements into technical solutions that address underlying problems.
  • Make design decisions across agent behavior, application logic, data, evaluations, security, and reliability, and establish patterns for deploying agents in production.
  • Connect agents to customers’ existing systems, APIs, and data, working with engineering and operations teams to navigate technical constraints.
  • After launch, debug failures, evaluate and improve agent quality, and work with Engineering and Product to remove deployment blockers.
  • Turn field learnings into reusable agents, integrations, evaluations, and frameworks, and relay recurring needs and product gaps to Product and Engineering to shape the platform.

Desired Qualifications

  • Experience working directly with customers.

About the Company

Pallet

Automates transportation and warehousing operations

Pallet (Trypallet.com) provides a Transportation Management System (TMS) that automates and streamlines transportation and warehousing operations. It reduces manual data entry, optimizes routes, and automates billing. The platform integrates with customers' systems via API, EDI, or automatic PDF reading to ensure accurate billing and charge capture. It offers real-time driver location visibility through ELD integration and a mobile app that lets workers digitize tasks. The business runs on a subscription model with optional premium features and service charges. Compared with competitors, Pallet combines end-to-end TMS for transportation and warehousing with flexible integrations, automated billing, real-time visibility, and field-accessible mobile tooling in one platform. Its goal is to help logistics companies, warehouses, and other businesses with significant transportation needs improve operational efficiency, reduce labor costs, and scale logistics management as demand grows.

Company size
51-200
Company stage
Series B
Total funding
$48M
Headquarters
San Francisco, CA
Founded
2019

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