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About the Role

We’re hiring a Software Engineer, Agent Delivery to deploy production AI agents inside some of the world’s largest supply chain 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, spending 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 don’t fully control? Every deployment teaches us something new about how supply chain companies operate. The patterns you uncover become product features, and what you solve for one customer often becomes a capability we ship across the platform.

Responsibilities

Lead high-impact customer deployments from problem definition through production.
Design and build production-grade AI agents, workflows, integrations, and supporting infrastructure that solve real customer problems and operate reliably at scale.
Partner with customers to identify workflows where AI agents can fundamentally change how work gets done.
Own the technical delivery from end-to-end design and prototyping through implementation, evaluation, deployment, and iteration.
Embed deeply in customer workflows, understand how their teams and systems actually operate, and translate messy business requirements into clear technical solutions.
Move quickly from an idea or manual process to a production system delivering measurable value.
Make architecture and design decisions across agent behavior, application logic, data, integrations, evaluations, security, and reliability.
Ensure solutions meet customer requirements while establishing strong patterns for how Pallet agents should be deployed in production.
Connect Pallet agents to the systems, data, APIs, and tools customers already rely on.
Work directly with customer engineering and operations teams to navigate technical constraints and make Pallet a reliable part of their production workflows.
Stay accountable beyond the initial build.
Debug failures, improve agent quality, evaluate performance, and work across Pallet Engineering and Product to rapidly resolve issues that stand between a customer and a successful deployment.
Build relationships across the customer organization, from technical ICs and operators to executives.
Develop a deep understanding of their workflows, constraints, and goals so that what you build solves the underlying problem—not just the initial request.
Turn lessons from individual deployments into reusable agents, integrations, evaluations, frameworks, and implementation patterns.
Help Pallet move from bespoke customer work toward repeatable products that can be deployed across many customers.
Serve as a tight feedback loop between customers and Pallet’s Product and Engineering teams.
Identify recurring needs, product gaps, and opportunities uncovered in the field, and help turn them into improvements to the core Pallet platform.

Requirements

1-3 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.

Skills

Node.js
TypeScript
Encore.dev
PostgreSQL
OpenAI
Anthropic
Google
Vertex AI
Playwright
Next.js
React
Vercel
Datadog

Location

San Francisco
New York
Remote (US)

Work Type

Full-time
Onsite
Remote

Experience Level

1-3 years

Salary/Compensations

$135,000 - $180,000

Benefits

Competitive equity
Health, Vision, and Dental benefits
Take-what-you-need Paid Vacation
Life Insurance and Accidental Insurance
Short-Term Disability Coverage
Generous salary and equity for all staff
401k option
Paid parental leave
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
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 the physical economy — 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 supply chain 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 companies across the physical economy look to generative AI to drive efficiency, many are turning to Pallet to lead the way.
With deep supply chain expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company powering the physical economy.
Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology.

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.