Software Engineer, Product

Posted 11 Days Ago
Easy Apply
2 Locations
In-Office
175K-265K Annually
Mid level
Artificial Intelligence • Logistics • Transportation
Pallet is a company dedicated to disrupting the logistics industry.
The Role
Join as a Product Engineer to bridge AI and logistics. Build infrastructure, design data pipelines, and develop scalable backend systems while working directly with clients and top-tier talent.
Summary Generated by Built In

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

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.

Why this role is different:

  • One of the first Product Engineers at Pallet 
  • Building foundational systems and infrastructure to support AI model development
  • Combining hands-on engineering with customer interaction and product ownership
  • Surround yourself with top-tier talent and fast-track your career

How you will make an impact:

  • Build & maintain the core infrastructure platform from day one — built to support thousands of AI agents running in parallel to solve real-world logistics problems
  • Design and implement efficient, scalable data pipelines
  • Develop backend systems that can scale from hundreds to millions of users
  • Help shape foundational engineering practices and decisions as an early team member 
  • Act as the bridge between AI and real business needs, working closely with both engineering and customer teams
  • See your work in action immediately as customers benefit from more reliable, observable AI agent deployments 

Our tech stack: 

  • Database: PostgreSQL
  • Backend: Node + TS. Encore for robust server-side dev and managed DevOps. Hosted on GCP
  • LLMs: Open AI, Anthropic, Google for foundation models, Playwright for browser automation
  • Frontend: React + TS. Hosted on Vercel

Preferred experience:

  • 3+ years of full-stack experience building 0→1 products
  • Strong communicator comfortable working directly with clients
  • Experience shipping end-to-end features in a SaaS environment
  • Thrives in fast-paced startup settings
  • Excited to collaborate in person 5x/week in SF’s Financial District
  • Bonus: experience with Node.js, TypeScript, and GraphQL (language-agnostic interviews)

Interview Process

  1. Intro Chat with Head of Talent (30 mins)
  2. Technical Screen + Meet and Greet with an Engineer (60 mins) 
  3. Executive Chat - Nilkanth (Neel) Patel, CTO (45 mins)
  4. Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)

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

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
GraphQL
Node.js
Open Ai
Playwright
Postgres
React
Typescript
Vercel
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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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