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.
$195,000 - $265,000
Full-time / Onsite (5 days/week)
About The Role
Pallet is building AI infrastructure for logistics: systems that coordinate real warehouses, freight networks, and supply chains. We’re looking for a founding engineer to build the security and platform foundations of the company from the ground up.
This is a hands-on software engineering role. You will write production code, design infrastructure, and establish the systems that make Pallet secure, reliable, and scalable. The decisions you make today will become the defaults the company operates on for years.
Security at Pallet is not a separate function or compliance layer. It is a design constraint embedded directly into the systems we build. We want someone who naturally asks:
- What happens when this fails?
- Who should have access to this?
- How do we reduce the blast radius?
- Can we eliminate this problem entirely?
- And then builds the answer.
You’ll work alongside engineers who trained production AI systems at Scale AI, built logistics infrastructure that powers millions of deliveries at DoorDash, and scaled financial tooling used by thousands of businesses at Rippling. Small team. High ownership. Large surface area.
What You'll Do
- Build and maintain the core platform services that power Pallet’s AI systems and developer workflows
- Design and implement authentication, authorization, secrets management, and access control systems
- Build infrastructure that operates reliably across regions and environments with clear isolation boundaries and disaster recovery capabilities
- Improve observability, monitoring, and operational tooling so engineers can confidently understand and debug production systems
- Develop internal platforms and abstractions that allow product engineers to move quickly without compromising security or reliability
- Partner with AI and product engineering teams to support model training, evaluation, and inference infrastructure
- Identify systemic risks and eliminate entire categories of operational, security, and reliability problems
- Own projects from architecture through production rollout
Who You Are
- 6+ years of software, backend, infrastructure, or platform engineering experience
- Strong software engineering fundamentals and a track record of shipping production systems
- Experience building security-sensitive systems, including authentication, authorization, secrets management, or infrastructure security
- Strong understanding of cloud infrastructure, containers, networking, and distributed systems
- Experience designing platforms, tooling, or abstractions that other engineers depend on
- Comfortable moving from a blank document to a production deployment with minimal oversight
- High ownership and strong engineering judgment
- You write code every day and want to continue doing so
Nice To Haves
- Experience at an early-stage startup where you helped define foundational technical decisions
- Experience building multi-region or highly available systems
- Experience supporting AI/ML infrastructure or model-serving platforms
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), Browserbase (browser automation)
- Frontend: React + TypeScript, hosted on Vercel
Compensation
The estimated salary range for this role is $195,000 – $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
Our Benefits
We invest in our people the same way we invest in our product: seriously.
- 🩺 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
- 🏡 Remote office home stipend to get you comfy in your space
- 🍔 Daily catered lunches provided
- ✈️ Onboarding trip to San Francisco HQ if you work remotely
- 🥤 Monthly happy hours
- 🎉 Annual Company Offsites; our last one was in Palm Springs CA 🌴
Workplace Policy
We are an in-person company. Our offices in San Francisco and New York City are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other.
Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to San Francisco for their first week to onboard and meet the team, and we cover the full trip. Most remote employees visit once a year after that, with all travel, lodging, and meals on us.
Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. No surprises.
Equal Opportunity
Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.
Candidate Privacy Notice
Please review Pallet’s Candidate Privacy Notice here.
Accommodations
Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.
If you need any assistance or accommodations due to a disability, please contact us at [email protected].
Skills Required
- 6+ years of software, backend, infrastructure, or platform engineering experience
- Strong software engineering fundamentals and track record of shipping production systems
- Experience building security-sensitive systems (authentication, authorization, secrets management, infrastructure security)
- Strong understanding of cloud infrastructure, containers, networking, and distributed systems
- Experience designing platforms, tooling, or abstractions consumed by other engineers
- Ability to move from design to production deployment with minimal oversight; high ownership
- Write production code daily and maintain hands-on engineering involvement
- Experience at an early-stage startup where you helped define foundational technical decisions
- Experience building multi-region or highly available systems
- Experience supporting AI/ML infrastructure or model-serving platforms
Pallet Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pallet and has not been reviewed or approved by Pallet.
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Fair & Transparent Compensation — Compensation ranges for key sales and engineering roles are publicly listed at competitive levels on current postings, signaling a market-forward stance. Role descriptions highlight strong OTE for enterprise sales and high base pay for SF/NY engineering.
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Equity Value & Accessibility — Equity is offered to all staff and described as generous across postings, indicating broad access to ownership. This positioning aligns with attracting senior talent in SF/NY.
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Healthcare Strength — Medical, dental, and vision coverage plus life and short-term disability are included across postings, signaling a solid health and protection baseline. These core plans appear consistently referenced company-wide.
Pallet Insights
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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