About the Role
Pallet is seeking Product & Deployment Engineers to deploy production AI agents within major logistics companies. This role involves working directly with customers to understand and automate critical workflows using AI systems. It's a high-leverage position at the intersection of product, infrastructure, and customer operations, offering ownership from integration to production scale. The ideal candidate enjoys solving complex, real-world problems and driving tangible business outcomes.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Node.js
- TypeScript
- Encore.dev
- PostgreSQL
- OpenAI
- Anthropic
- Vertex AI
- Playwright
- Next.js
- React
- Vercel
- Datadog
Location
- Onsite (5 days/week)
- Remote (across the U.S.)
Work Type
- Full-time
- Onsite
- Remote
Experience Level
- 2-5 years
Salary/Compensations
- $160,000–$200,000
Benefits
- Competitive equity
- Growth opportunities
- 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
- 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
About the Company
- Pallet is building AI Agents to transform logistics — a $12 trillion global industry.
- Raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures.
- Achieved 700% revenue growth in under two years.
- Mission is to increase the efficiency of the global supply chain by automating manual workflows.
- Flagship platform provides end-to-end visibility, control, and optimization.
- Newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.
- Positioned to build the next $10B company in logistics.
- Team includes leaders from Google, DoorDash, YC, and more.
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.
