Work directly with cross-functional teams to customize AI solutions for enterprise clients while shaping the product direction with real customer feedback.
About Pallet
Pallet is building AI Agents to transform logistics — 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 logistics 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 logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company in logistics.
Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.
Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we’re on track to build the next $10 billion tech company in logistics.
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 — from how it's built to how it's deployed in the real world.
Product Engineer at Pallet means something specific: you're not just shipping features, you're shaping what the product becomes. You'll work closely with customers, understand their real operational pain, and build the solutions that address it. The feedback loop here is tight, and the stakes are real.
Preferred experience:
We move fast, and we’ll keep you informed at every stage of the process.
The estimated salary range for this role is $175,000 – $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
🩺 Health, Vision, and Dental benefits
🏝️ Flexible PTO
➕ Life Insurance and Accidental Insurance
❤️🩹 Short-Term Disability Coverage
💸 Generous salary and equity for all staff
🪜 401k option; helping you save for the future
📚 Yearly learning and development stipend
🚌 Commuter benefits
🚘 Uber ride stipend if you ever have to work late in the office
🏡 Office home stipend to get you comfy in your space
🍔 Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)
🥤 Monthly happy hours
🎉 Annual Company Offsites; this year we'll be headed to Palm Springs 🌴
Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Flexible Work Hours
Flexible PTO
Free Meals & Snacks
Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)
Health Insurance
Health, Vision, and Dental benefits
Annual company offsite
Annual Company Offsites; this year we'll be headed to Palm Springs
Pallet is developing AI Agents specifically designed to enhance logistics operations, targeting the massive $12 trillion global supply chain industry. By automating manual workflows, we aim to significantly boost the efficiency and effectiveness of logistics teams, making them more agile and responsive in an increasingly complex landscape.
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