Software Engineer - Agent Delivery

About Pallet

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.

About the Opportunity

We're hiring one of our first Agent Delivery Engineers—a hybrid technical and customer-facing role responsible for implementing Pallet's AI Agent platform inside the world's largest logistics companies.

You'll report directly to Michael, our Agent Delivery Lead, and work cross-functionally with Deployments (Jeff), Engineering (Nilkanth), and Sales (Andrew) leadership to bring AI Agents into production environments. You'll own deployment from post-sale technical validation through production rollout: mapping workflows, integrating systems, resolving edge cases, testing AI behaviors, and partnering closely with Engineering to ensure customers realize measurable ROI.

This is a foundational role. You'll shape how Pallet delivers value after the deal is signed—and this team is the engine that turns sales wins into production AI automation and live revenue.

How you will make an impact

• Lead technical implementations for enterprise, Fortune 500 customers—from workflow mapping to AI Agent configuration to production launch

• Design and run proofs of concept that demonstrate measurable improvements (accuracy, throughput, cycle time, error reduction)

• Build lightweight automations and prototypes using tools like Retool, Zapier, Make, or scripts to validate value quickly

• Integrate with customer systems (TMS, WMS, ERP, CRM, billing/settlements) using APIs, webhooks, and data schemas

• Debug and troubleshoot production issues, partnering with our research team to address model behavior and system integration challenges

• Act as the technical voice of the customer—relaying workflow pain points, edge cases, and feature gaps to the broader engineering team.

• Be comfortable leaning in to build product features when they are necessary to get a customer live.

PlayPreferred Experience

• 2+ years as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, or Technical Consultant—ideally in high-growth SaaS or AI

• Strong technical fluency with APIs, authentication, JSON schemas, logs, and integration patterns

• Experience with automation or AI systems (browser automation, RPA, RAG/memory, LLM agents, voice interfaces, etc.)

• Comfort building prototypes using Retool, Zapier, Make, Postman, or lightweight scripting

• Excellent communication across technical and operational audiences—from dispatch teams to CTOs

• Thrives in fast-moving, ambiguous environments with incomplete information

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

Who Thrives Here

You're a great fit if you thrive in ambiguity, care about code readability, drive projects independently, value in-person collaboration, and embrace intensity when it's what it takes to win.

You're likely not a fit if you prefer strict processes and a 9-to-5 mindset, want later-stage stability, or expect fully remote work.

How We Work & What We Offer

• 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 10am 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 90th percentile, plus bonuses tied to customer go-lives. We promote from within—several teammates earned promotions in under a year

Interview process

1. Intro Recruiter chat (30 mins)

2. Technical Screen + Meet and Greet with an Engineer (60 mins)

3. Executive Chat with Nilkanth, CTO (30–45 mins)

4. Final Interview: visit our FiDi office for deep-dive technical and behavioral interviews (~3.5 hours)

Location

San Francisco: Since we're a small team building 0→1 products, we prefer candidates comfortable working in an in-office environment in San Francisco. We typically come into the office 5 days a week. Relocation assistance can be provided for interested candidates.

New York: Satellite office with Pallet employees across engineering, operations, and success—we're seeking to hire and grow out the team here. The team typically comes into the office 5 days a week. Relocation assistance is not provided for our New York office.

Compensation

The estimated salary range for this role is $175,000–$265,000, 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 company Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.