Member of Technical Staff, Agent Delivery
About the role
We're hiring Forward Deployed Product Engineers to deploy production AI agents inside some of the world's largest logistics 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. You'll spend 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 do not fully control?
Responsibilities
- Reverse engineer undocumented APIs, ERPs, TMS platforms, and internal tools with minimal guidance.
- Design and build integrations between customer systems and Pallet's AI platform.
- Debug production failures across distributed systems, authentication layers, data pipelines, and third-party services.
- Work onsite with customers to diagnose issues, ship fixes, and drive successful launches.
- Own customer deployments end-to-end, from technical discovery through production stability.
- Made pragmatic engineering tradeoffs under real-world constraints and tight timelines.
- Identify recurring implementation patterns and turn them into reusable product capabilities.
- Partner closely with engineering and product teams to shape the roadmap based on customer needs.
Requirements
We're looking for someone with 2–5 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 is a must. Proven ability to debug complex systems in production is also crucial. Comfortable operating in ambiguous environments where documentation is incomplete, and requirements evolve quickly is key. Strong communication skills and the ability to build trust with technical and non-technical stakeholders are essential. Experience working directly with customers is a strong plus.
Qualifications
- Strong backend skills with Node.js, TypeScript, and knowledge of GCP.
- Experience with PostgreSQL for database management.
- Knowledge of LLMs (OpenAI, Anthropic, Google) and fine-tuning models on Vertex AI.
- Experience with browser automation using Playwright.
- Experience with Next.js, React, and TypeScript for frontend development.
- Experience with observability tools like Datadog.
Skills
- Ability to work in ambiguous environments with incomplete documentation.
- Experience with real-world systems debugging and production support.
- Strong problem-solving and pragmatic decision-making skills.
- Excellent communication and stakeholder management skills.
Benefits
- $160,000 - $200,000 annual salary range.
- Competitive equity and benefits package.
- 401(k) option for retirement savings.
- Health, vision, and dental benefits.
- Paid vacation and sick days.
- Life and accidental insurance.
- Short-term disability coverage.
- Generous parental leave.
- Yearly learning and development stipend.
- Monthly happy hours and company offsites.
- Onboarding trip to San Francisco HQ for remote employees.
- Remote office home stipend.
- Uber ride stipend for late-night work.
- Catered lunches daily.
Pay
$160,000 - $200,000 annual salary range, depending on experience and skill set. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
Schedule
Full-time / Onsite (5 days/week) / ~25% Travel
Company Information
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. 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.