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 Forward Deployed Product Engineers to deploy production AI agents inside some of the world’s largest logistics companies.
You’ll work directly with customer operators, engineers, and executives to understand how critical workflows actually run. Then you’ll design integrations, debug production systems, and ship AI-powered workflows into environments that are often undocumented, fragmented, and business-critical.
This role sits at the intersection of engineering, product, and customer operations. You’ll own deployments from initial discovery through production launch. You’ll spend time with customers, both remotely and onsite, solving complex operational problems and turning those solutions into reusable product capabilities.
Success in this role is measured by outcomes. Can you get systems live, make them reliable, and solve problems in environments you do not fully control?
Every deployment teaches us something new about how logistics companies operate. The patterns you uncover become product features. The problems you solve for one customer often become capabilities we ship across the platform.
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 solving problems in ambiguous environments.
- You prefer shipping impact quickly over polishing perfect architectures.
- You enjoy being dropped into unfamiliar systems and figuring out how they work.
- You want ownership over both customer outcomes and product direction.
This role is likely not for you if
- You enjoy debugging messy real-world systems more than building pristine internal abstractions.
- You like working directly with customers and solving problems in ambiguous environments.
- You prefer shipping impact quickly over polishing perfect architectures.
- You enjoy being dropped into unfamiliar systems and figuring out how they work.
- You want ownership over both customer outcomes and product direction.
What You’ll Do
- Reverse engineer undocumented APIs, ERPs, TMS platforms, and internal tools with minimal guidance.
- Design and build integrations between customer systems and Pallet’s AI platform.
- Debug production failures across distributed systems, authentication layers, data pipelines, and third-party services.
- Work onsite with customers to diagnose issues, ship fixes, and drive successful launches.
- Own customer deployments end-to-end, from technical discovery through production stability.
- Make pragmatic engineering tradeoffs under real-world constraints and tight timelines.
- Identify recurring implementation patterns and turn them into reusable product capabilities.
- Partner closely with engineering and product teams to shape the roadmap based on customer needs.
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, integrations, authentication systems, and event-driven architectures.
- Proven ability to debug complex systems in production.
- Comfortable operating in ambiguous environments where documentation is incomplete, and requirements evolve quickly.
- Strong communication skills and the ability to build trust with technical and non-technical stakeholders.
- Experience working directly with customers is a strong plus,
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
- 🏝️ 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
- 2-5 years of experience building and owning production systems in high-growth startups or similarly demanding environments.
- Strong experience working with APIs, integrations, authentication systems, and event-driven architectures.
- Proven ability to debug complex systems in production (distributed systems, data pipelines, third-party services).
- Comfortable operating in ambiguous environments with incomplete documentation and evolving requirements.
- Strong communication skills and ability to build trust with technical and non-technical stakeholders.
- Experience working directly with customers (onsite and remote) to diagnose issues and drive launches.
- Ability to reverse engineer undocumented APIs, ERPs, TMS platforms, and internal tools.
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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