Product & Deployment Engineer

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.

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.

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.
• 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.

Qualifications

• 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

• 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

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
• Paid parental leave to support growing families
• Yearly learning and development stipend
• 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 🌴

Pay

$160,000 - $200,000

Schedule

Full-time / Onsite (5 days/week) / ~25% Travel