Forward Deployed Software Engineer (AI Agents)

Nice to have:

1–5 years of experience shipping and owning production systems in high-growth or early-stage environments

Strong experience integrating with third-party APIs, authentication systems, and event-driven workflows

Experience debugging distributed systems in production under real customer constraints

Comfortable working in ambiguous environments where documentation is incomplete, and requirements evolve during execution

Experience working directly with customers or external stakeholders is a strong plus

Impact from Day One: Your first week might involve wiring a new integration into production or debugging a workflow that saves a customer hours. This isn't demo work—it's real implementations

Ownership & Autonomy: Propose ideas, whiteboard them, ship without layers of approvals. One standup at 10 am PST—primary focus is building, not meetings

Close-Knit Pods: We sit side by side, so questions get answered in minutes. Small PRs, fast iteration, observability-first

Culture: Catered lunch daily at 12 pm. Thursday boba runs. AI tools encouraged (Claude, Cursor)—but you must understand the architecture

Compensation: Salary and equity at 80th percentile, plus bonuses tied to customer go-lives. We promote from within—several teammates earned promotions in under a year

We’re hiring one of our first Forward Deployed Software Engineers to embed directly with customers and deploy production AI agents inside some of the world’s largest logistics companies. You will sit alongside customer engineers and operations teams, reverse engineer legacy systems, design pragmatic integrations, and ship AI workflows into messy, real-world environments.

This is not a research or pure backend role. This is a hands-on deployment role focused on getting systems live, keeping them reliable, and owning real-world outcomes.

Pallet is building AI Agents to transform the $12 trillion logistics industry, backed by $50M from investors including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. Our mission is to automate the physical economy by creating the most reliable intelligence infrastructure for logistics.

Our agents excel at handling complex logistics workflows—scheduling, data entry, and load management—for Fortune 500 companies. But this is only the beginning. Our vision is to be the go-to answer for AI in logistics: from proprietary models to a suite of tools that turn messy business rules into production-ready context for LLMs.

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.