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,…
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,…
Founders / CEO: Sushanth Raman (CEO) and Andrew Spencer
Recent financing: Series B announced May 27, 2025
Company Overview
Problem Domain
Logistics operations and supply chain workflow automation (transportation management, warehouse management, order lifecycle).
Founded
2019
Industry
Technology, Information and Internet
Funding Track Record
Seed- May 26, 2022
Seed round led by Bain Capital Ventures
Series A- October 2, 2024
$18,000,000
Series A reported led by Bain Capital Ventures; Bessemer Venture Partners and Activant Capital participated
Series B- May 27, 2025
Series B announced May 27, 2025
Investor Signal
“Bain Capital Ventures, Bessemer Venture Partners, Activant Capital, General Catalyst”
Founders
What we do
Join the Team
Software Engineer
On-SiteSan Francisco Bay Area, New York, US
On-Site • San Francisco Bay Area, New York, US
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Who you are
It’s an excellent fit for builders and future founders who want hands-on ownership, first-principles problem solving, and deep exposure to real customer constraints that shape products and businesses.ems, first-principles execution, and end-to-end ownership under real-world constraints
1-5 years of experience building and operating end-to-end production systems, ideally in high-growth SaaS or AI-driven environments
Strong technical fundamentals across APIs, authentication, data modeling, system integration patterns, and debugging complex systems
A builder’s mindset with high ownership—you’re comfortable scoping ambiguous problems, moving quickly, and shipping durable solutions
Experience working directly with customers or external stakeholders, translating real-world constraints into reliable technical systems
Clear and effective communication skills across both technical and operational audiences—from frontline operators to engineering leadership
Thrives in fast-moving, ambiguous environments, where requirements are incomplete, and problems are discovered through execution
What the job involves
The application process
Intro Chat with Recruiting - (30 mins)
Technical Screen + Meet and Greet with an Engineer (60 mins)
Executive Chat with Bizops Lead or CTO (30-45 mins)
Final Interview: deep-dive technical and behavioral interviews (~4 hours)
Benefits
🩺 Health, Vision and Dental benefits
🏝️ Flexible PTO
➕ Life Insurance and Accidental Insurance
❤️🩹 Short-Term Disability Coverage
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We’re hiring one of our first Agent Delivery Software Engineers to build and deploy production AI systems inside some of the world’s largest logistics companies.
You’ll work directly with customers and internal teams to take systems from scoping to live production, owning integrations, reliability, and real-world outcomes
After launch, you’ll remain hands-on in production—debugging failures, improving model performance, and extending functionality based on real production data
This is a foundational, customer-facing role at Pallet, sitting at the intersection of product, engineering, and operations
Operate as a true Forward Deployed Engineer. Reverse-engineer APIs, UIs, and data models with little documentation; design pragmatic integrations; and ship production systems under real-world constraints
Own customer outcomes end-to-end. Act as the technical point of contact, handle escalations, diagnose failures across AI behavior and integrations, and coordinate fixes with internal engineering teams
Scope, prioritize, and deliver under pressure. Break down ambiguous problems, estimate timelines, make smart tradeoffs, and focus on business impact over technical perfection
Balance speed with rigor. Maintain strong attention to detail while knowing when “speed” is the right call to keep customers moving without sacrificing “quality”
Build from the field. Feed learnings from deployments directly into product, platform, and tooling improvements
Our Tech Stack:
Backend: Node + TypeScript on Encore.dev. Event-driven design with message passing and queues. Hosted on GCP
Database: PostgreSQL
LLMs: OpenAI, Anthropic, Google for foundation models; fine-tuned models on Vertex AI
Browser Automation: Playwright
Frontend: Next.js + React + TypeScript. Hosted on Vercel
Observability: Datadog for logging and metrics
💸 Equity for all staff
🪜 401k option; helping you save for the future
📚 Yearly learning and development stipend
🚌 Commuter benefits if you live in SF
🚘 Fully covered uber ride home if you ever have to work late in the office
🏡 Remote office home stipend
🥤 Monthly happy hours; our last one was a Golden Gate Park BBQ
🍲 Company paid dinners on Tuesdays and Thursdays in the office
🎉 Annual Company Offsites; our last one was in Sonoma Wine Country 🍷
