Location:
San Francisco, CA (Hybrid, 3-4x per week in office)
About Pallet
Pallet is redefining the logistics industry with AI-driven automation. Based in San Francisco and backed by $21 million in funding from Bain Capital Ventures, Bessemer, and other top investors, we are building cutting-edge AI-powered solutions that eliminate manual data entry, optimize warehouse operations, and streamline logistics management.Our flagship products—a Transportation Management System (TMS) and a Warehouse Management System (WMS)—provide businesses with end-to-end visibility, automation, and operational control.
Our AI Agents take automation to the next level, seamlessly integrating into logistics workflows to reduce costs, improve efficiency, and enhance customer satisfaction.Join us in transforming logistics and shaping the future of AI-powered business operations.
The Role: AI Platform Engineer
As an AI Agents Platform Engineer at Pallet, you will be at the forefront of developing intelligent, adaptable automation solutions for the logistics industry. Our AI-driven agentic workflows are designed to augment human capabilities, handling complex back-office tasks with high accuracy while integrating seamlessly into existing enterprise systems.You will be working with a small, high-impact team of engineers and operators to build AI agents that automate workflows such as document processing, customer portal updates, and voice-based interactions.
This is an opportunity to make a direct impact on a rapidly growing product with significant industry traction.
What You'll Be Working On
- Design and build scalable AI platforms that support intelligent agents, enabling seamless integration with enterprise logistics systems.
- Develop robust APIs, data pipelines, and infrastructure that facilitate AI-driven automation across high-volume logistics workflows.
- Architect and optimize cloud-based infrastructure for AI agents, ensuring high availability, performance, and security.
- Implement dynamic scaling solutions to handle evolving workflows, applications, and data structures with minimal human intervention.
- Optimize AI model deployment and inference pipelines for speed, efficiency, and reliability, ensuring seamless human-in-the-loop supervision without creating bottlenecks.
What You Bring
- 3+ years of Software Engineering experience, ideally with exposure to both startup and enterprise-scale engineering environments.
- A track record of delivering impactful business outcomes through scalable platform development or high-impact infrastructure initiatives.
- Experience designing and maintaining cloud-based infrastructure, APIs, and data pipelines for AI-driven automation.
- Proficiency in Node.js, TypeScript, GraphQL, PostgreSQL, and cloud platforms such as AWS, GCP, or Azure.
- Strong problem-solving mindset with a focus on optimizing AI model deployment, performance, and scalability.
- Bonus: Experience with AI/ML model deployment, MLOps, RPA, or NLP-driven automation.
Why Join Us?
- Build AI-powered agents that revolutionize logistics operations.
- Work closely with industry leaders like Neel, Lead Engineer (ex-YC Founder, ex-Doordash), Jeff Director of Special Projects (LinkedIn & AtoB), and Michael: Principal Sales (Tesla & Athelas) to build transformative solutions.
- We’ve raised over $50 million from leading investors and have Fortune 500 logistics companies knocking on our door.
- Salary range of $160,000-$260,000 + generous equity.
- Monthly happy hours & company offsites (Sonoma Wine Country 🍷 last year!)
- Weekly team lunches and dinners in the office
- Coffee strolls through downtown SF ☕
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 for bay area employees
- 🚘 Uber ride stipend if you ever have to work late in the office
Interview Process
- Intro Chat (30 mins) – With Recruiter
- Hiring Manager Chat (30 mins) – Head of Product Engineering
- Technical Screen (45-60 mins) – Engineer on the team
- Final Interview (~4 hours) – Visit our Fidi office and deep dive into technical and behavioral interviews
- Background & Reference Check
We move fast, and we’ll keep you informed at every stage of the process.
Join Us in Shaping the Future of AI in Logistics
Are you passionate about AI-driven automation, 0-to-1 product development, and solving complex engineering challenges? If so, we’d love to chat. Apply now and be part of a team building the next generation of intelligent automation solutions!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.
