Software Engineer, Product

Reposted 8 Hours Ago
Easy Apply
New York City, NY, USA
In-Office
175K-265K Annually
Mid level
Artificial Intelligence • Logistics • Transportation
Pallet is a company dedicated to disrupting the logistics industry.
The Role
As a Product Engineer, you'll build core infrastructure and scalable data pipelines, collaborate with AI teams, and interact directly with customers to enhance logistics solutions.
Summary Generated by Built In

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.

About the opportunity

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.

You could be an engineer anywhere, why us?
  • Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years, targeting a $11T market)
  • Work directly with our CTO, ex-YC Founder, Doordash
  • Help transform a massive industry and scale us toward a $10 B+ business
Why this role is different

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.

  • Among the first Product Engineers at Pallet, with genuine influence over product direction
  • Full ownership from idea to deployment, building for enterprise logistics clients at scale
  • Direct access to founders and cross-functional teams from day one
  • Meaningful equity in a company targeting a $10B+ outcome
How you will make an impact
  • Build and own core product features that power thousands of AI agents running in parallel to solve real logistics problems
  • Act as the connective tissue between engineering and customers, translating real business needs into reliable, scalable software
  • Design and implement data pipelines and backend systems built to grow from hundreds to millions of users
  • Ship end-to-end features in a SaaS environment where customers see the impact quickly
  • Collaborate with the engineering team on architecture, product decisions, and technical direction
  • Help define what great product engineering looks like at Pallet as an early team member
Preferred experience
  • 4+ years of backend or full-stack experience with a track record of owning product surfaces or infrastructure (Mid); 6+ years with deeper architectural ownership and a focus on system quality and long-term maintainability (Senior)
  • Strong backend and systems engineering fundamentals
  • Experience owning core product or infrastructure in a SaaS or platform environment
  • Someone who thinks about reliability, performance, and architecture, not just shipping
  • Comfortable working in a fast-moving, in-person startup environment
  • Excited to be in the office 5 days a week in SF's Financial District or our NYC satellite office
  • Bonus: Node.js, TypeScript, GraphQL (our interviews are language-agnostic)
Our tech stack
  • Database: PostgreSQL
  • Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP
  • LLMs: OpenAI, Anthropic, Google (foundation models), Playwright (browser automation)
  • Frontend: React + TypeScript, hosted on Vercel
Interview Process

We move fast, and we’ll keep you informed at every stage of the process.

  • Intro Chat with Head of Talent (30 mins)
  • Technical Screen + Meet and Greet with an Engineer (60 mins)
  • Executive Chat - Nilkanth (Neel) Patel, CTO (45 mins)
  • Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)
Location
  • San Francisco: Since we're a small team building 0-1 products, we prefer for candidates to be comfortable working in an in-office environment in San Francisco. We typically come into the office 5 days a week. Relocation assistance can be provided for interested candidates.
  • New York: Satellite Office with ~5 Pallet employees across engineering, operations, and success - we are seeking to hire and grow out the team more here. The team typically comes into the office 5 days a week. Relocation assistance is not provided for our New York office.
Compensation

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.

Top-Tier Benefits

🩺 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.

Top Skills

Anthropic
Encore
GCP
Google
Node.js
Open Ai
Playwright
Postgres
React
Typescript
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The Company
HQ: San Francisco, CA
48 Employees
Year Founded: 2019

What We Do

Pallet makes supply chains more efficient. Our AI workforce, CoPallet, handles high-volume tasks like order entry, portal updates, and quoting — all with human-level accuracy and oversight. CoPallet operates your existing tools and processes at a fraction of the cost. We’ve raised over $50M from General Catalyst, Bain Capital Ventures, Activant Capital, and Bessemer Venture Partners. We’re built by a team from the world’s best companies including Google, Rippling, Scale AI, Uber, and other top startups.

Why Work With Us

We move fast, but not at the expense of our people. Growth here means more than hitting metrics — it’s about giving smart, ambitious people the space to stretch, learn, and take on real responsibility. Ownership from day 1: We hire builders. People who want to make decisions, talk to users, and shape how our AI agents evolve.

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