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.
$160,000 - $200,000
Full-time / Onsite (5 days/week) / ~25% Travel
About The Role
We’re hiring Product & Deployment Engineers to deploy production AI agents inside some of the world’s largest logistics companies.
You will work directly with customer operators, engineers, and executives to understand how critical workflows actually run, then design and ship AI systems that automate them. One week, you may be reverse engineering a legacy transportation management system with no documentation. The next week, you may be debugging production failures onsite with a Fortune 500 customer and shipping fixes the same day.
This is a uniquely high-leverage engineering role. You’ll sit at the intersection of product, infrastructure, and customer operations, owning deployments from the first integration through production scale. The problems are messy, ambiguous, and highly consequential.
The engineers who thrive here enjoy operating in the real world. They care more about delivering outcomes than building perfect abstractions, and they’re excited by the challenge of making complex systems work in environments they don’t fully control.
Every deployment teaches us something new about how logistics companies operate. The insights you uncover won’t just help individual customers—they’ll directly shape the product roadmap and influence what we build next.
This role is for you if
- You enjoy debugging messy real-world systems more than building pristine internal abstractions.
- You like working directly with customers and uncovering solutions in ambiguous environments.
- You move quickly, make pragmatic decisions, and optimize for outcomes over elegance.
- You want ownership of real business impact, not just tickets or isolated services.
- You enjoy being the person who figures things out when documentation is incomplete, and the answer isn’t obvious.
This role is likely not for you if
- You’re primarily interested in model research or pure ML experimentation.
- You prefer highly scoped platform work with limited customer interaction.
- You want detailed specifications before starting a project.
- You prefer remote-first environments or minimal travel.
What You’ll Do
- Reverse engineer undocumented APIs, ERPs, TMS platforms, and internal systems with minimal guidance.
- Design and build integrations between customer environments and Pallet’s AI platform.
- Debug production failures across distributed systems, data pipelines, authentication layers, and third-party dependencies.
- Work onsite with customers (~25% travel) to diagnose issues, deploy fixes, and drive successful launches.
- Own customer go-lives end-to-end, from technical discovery through production stability.
- Identify recurring implementation patterns and turn them into reusable product capabilities.
- Influence the roadmap by translating customer problems into platform improvements.
Who You Are
- 2–5 years of experience building and owning production systems in high-growth startups or similarly demanding environments.
- Strong experience working with APIs, authentication systems, integrations, and event-driven architectures.
- Proven ability to debug complex systems under real production constraints.
- Comfortable operating with ambiguity and incomplete information.
- Strong written and verbal communication skills.
- Experience working directly with customers, partners, or external stakeholders is a plus.
- Bonus: experience with logistics, supply chain software, ERP systems, automation platforms, or workflow tooling.
Our Tech Stack
- Backend: Node + TypeScript on Encore.dev. Event-driven design with message passing and queues. Hosted on GCP
- Database: PostgreSQL
- LLMs: OpenAI, Anthropic, Google for foundation models; fine-tuned models on Vertex AI
- Browser Automation: Playwright
- Frontend: Next.js + React + TypeScript. Hosted on Vercel
- Observability: Datadog for logging and metrics
The estimated salary range for this role is $160,000–$200,000, 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.
Our Benefits
We invest in our people the same way we invest in our product: seriously.
- 🩺 Health, Vision, and Dental benefits
- 🏝️ Take-what-you-need Paid Vacation
- ➕ Life Insurance and Accidental Insurance
- ❤️🩹 Short-Term Disability Coverage
- 💸 Generous salary and equity for all staff
- 🪜 401k option; helping you save for the future
- 🧑🧑🧒🧒 Paid parental leave to support growing families
- 📚 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, New York City and London 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 one of our offices for their first week to onboard and meet the team, and we cover the full trip.
Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us.
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].
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
