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AI Product Engineer - Pallet

AI Product Engineer
San Francisco, CA

About Pallet

Pallet is redefining the logistics industry with AI-driven automation. Based in San Francisco and backed by $50 million in funding from Bain Capital Ventures, Bessemer, and other top investors, we are building cutting-edge AI-powered solutions that eliminate manual data entry, optimize warehouse operations, and streamline logistics management.

Our flagship products—a Transportation Management System (TMS) and a Warehouse Management System (WMS)—provide businesses with end-to-end visibility, automation, and operational control. Our AI Agents take automation to the next level, seamlessly integrating into logistics workflows to reduce costs, improve efficiency, and enhance customer satisfaction.

Join us in transforming logistics and shaping the future of AI-powered business operations.

The Role

As a Product Engineer for our AI Agents Product, you will play a critical role in bridging the gap between our customers and cutting-edge AI-driven automation solutions. This role combines hands-on engineering with direct customer engagement to tailor AI-powered automation to real-world logistics workflows.

You will work closely with customers to understand their operational pain points, rapidly prototype solutions, and deploy AI-driven automation that transforms their day-to-day processes. This is a high-impact, customer-facing engineering role ideal for someone who thrives at the intersection of technology, product development, and real-world problem-solving.

What You'll Be Working On

  • Collaborate directly with customers to understand their operational challenges and customize AI agents to fit their workflows.

  • Develop and deploy intelligent AI-driven automation solutions that integrate seamlessly into existing logistics software systems.

  • Work closely with Pallet’s product and engineering teams to refine AI capabilities based on real-world use cases and feedback.

  • Build and optimize APIs, database solutions, and front-end interfaces that connect AI agents with enterprise logistics platforms.

  • Ensure the reliability and scalability of AI-driven automation systems for high-volume logistics processes across multiple industries.

  • Conduct hands-on troubleshooting, debugging, and performance optimization to ensure smooth AI agent deployments.

What You Bring

  • 3+ years of software engineering experience, ideally in a customer-facing role.

  • Strong problem-solving skills and a passion for applying technology to real-world operational challenges.

  • Experience with Node.js, TypeScript, GraphQL, PostgreSQL, and related technologies.

  • Ability to communicate effectively with both technical and non-technical stakeholders.

  • Strong ability to move quickly, iterate, and deploy working solutions in fast-paced environments.

  • Bonus: Experience deploying, integrating, or optimizing AI-driven or automation-based solutions in enterprise environments.

  • Bonus: Experience with AI/ML technologies, RPA, NLP-driven automation, or logistics software.

Why Join Us?

  • Work directly with customers to deploy AI-powered agents that revolutionize logistics operations.

  • Join a high-caliber team including Neel (Lead Engineer, ex-YC Founder, ex-DoorDash), Jeff (Director of Special Projects, LinkedIn & AtoB), and Michael (Principal Sales, Tesla & Athelas).

  • We’ve raised over $50 million from leading investors and have Fortune 500 logistics companies knocking on our door.

  • Salary range of $160,000-$260,000 + generous equity.

  • Monthly happy hours & company offsites (Sonoma Wine Country 🍇 last year!)

  • Weekly team lunches and dinners in the office.

  • Coffee strolls through downtown SF ☕.

Top-Tier 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 to help you save for the future

  • 📚 Yearly learning and development stipend

  • 🚊 Commuter benefits for Bay Area employees

  • 🚗 Uber ride stipend if you ever have to work late in the office

Interview Process

  1. Intro Chat (30 mins) – With Recruiter

  2. Hiring Manager Chat (30 mins) – Head of Product Engineering

  3. Technical Screen (45-60 mins) – Engineer on the team

  4. Final Interview (~4 hours) – Visit our FiDi office and deep dive into technical and behavioral interviews

  5. Background & Reference Check

We move fast, and we’ll keep you informed at every stage of the process.

Join Us in Shaping the Future of AI in Logistics

Are you passionate about AI-driven automation, customer-focused engineering, and solving complex real-world challenges? If so, we’d love to chat. Apply now and be part of a team building the next generation of intelligent automation solutions!

Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Average salary estimate

$210000 / YEARLY (est.)
min
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$160000K
$260000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Product Engineer - Pallet, SourceDirect Talent

As an AI Product Engineer at Pallet in San Francisco, you’ll be at the forefront of transforming the logistics industry through innovative AI-driven automation solutions. We’re not just about software; we’re revolutionizing how logistics operations are managed, from streamlining data entry to enhancing warehouse functions with powerful AI technology. Your role will involve direct collaboration with customers to truly understand their unique challenges and craft tailored AI agents that seamlessly integrate into their existing workflows. You’ll bring your hands-on engineering expertise to rapidly prototype and deploy solutions that redefine operational efficiency. In addition, you will partner closely with our product and engineering teams to refine these capabilities based on real-world feedback. Your day-to-day will also include building robust APIs and front-end interfaces, ensuring reliability and scalability for our high-impact solutions. If you thrive in a fast-paced environment and love diving into problem-solving, Pallet offers an exciting opportunity to make a difference by bringing cutting-edge AI technology to life in logistics. Join us, and let’s shape the future of AI-powered business operations together!

Frequently Asked Questions (FAQs) for AI Product Engineer - Pallet Role at SourceDirect Talent
What responsibilities does an AI Product Engineer at Pallet have?

An AI Product Engineer at Pallet is responsible for collaborating with customers, understanding their logistical challenges, and customizing AI solutions accordingly. The role entails developing and deploying intelligent automation systems, optimizing APIs, and ensuring the reliability and scalability of these solutions, making it essential for candidates to have a robust engineering background.

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What qualifications do I need to become an AI Product Engineer at Pallet?

To qualify as an AI Product Engineer at Pallet, you should have at least 3 years of software engineering experience, particularly in a customer-facing environment. Essential skills include proficiency in Node.js, TypeScript, GraphQL, and PostgreSQL. Familiarity with AI/ML technologies and experience in deploying automation solutions are also highly beneficial.

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What tools and technologies should I be familiar with for the AI Product Engineer role at Pallet?

Candidates for the AI Product Engineer position at Pallet should be familiar with Node.js, TypeScript, GraphQL, and PostgreSQL, as these technologies are integral to the role. Additionally, understanding AI/ML concepts and automation technologies will be a plus.

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What is the working environment like for an AI Product Engineer at Pallet?

The working environment for an AI Product Engineer at Pallet is dynamic and collaborative, characterized by hands-on problem-solving and direct engagement with clients. Team members enjoy a supportive culture that emphasizes quick iteration and deployment in a fast-paced setting, with regular team bonding activities to foster camaraderie.

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What are the growth opportunities for an AI Product Engineer at Pallet?

As an AI Product Engineer at Pallet, you will have ample opportunities for professional growth, especially given the company's position in an evolving industry. Working closely with cutting-edge AI technologies and a high-caliber team will enhance your skills and open doors to advance within the organization, especially as it continues to scale.

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Common Interview Questions for AI Product Engineer - Pallet
Can you describe your experience with integrating AI solutions in logistics?

When answering this question, focus on specific projects where you successfully integrated AI-driven solutions in logistics. Highlight the challenges faced, the technologies used, and the outcomes achieved to demonstrate your technical expertise and problem-solving abilities.

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How do you prioritize customer feedback in product development?

You can discuss your approach to gathering and analyzing customer feedback, emphasizing the methods you use to translate that feedback into actionable product improvements. Mention specific examples where you've successfully adapted features based on user input.

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What methodologies do you use when troubleshooting AI systems?

Explain your systematic approach to debugging and troubleshooting AI systems. You might cover steps like initial problem identification, hypothesis formation, testing, and validation of potential solutions, highlighting any tools you use for monitoring performance.

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What role does collaboration play in your engineering process?

Discuss how collaboration enhances the engineering process, particularly when working with diverse teams. Share examples of how collaborative efforts have led to better product outcomes and improved problem-solving in your previous roles.

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Describe a complex engineering problem you solved.

Provide a structured answer that outlines the problem's context, your approach to solving it, the technologies utilized, and the result. Emphasize your problem-solving skills and your capability to work under pressure.

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How would you ensure seamless integration of new AI features into existing systems?

Address your methodical approach to ensuring compatibility and smooth integration with existing systems. Highlight your experience in API development and the importance of thorough testing before rolling out new features.

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In what ways do you stay updated on emerging AI technologies?

Discuss your strategies for keeping abreast of industry trends, such as attending conferences, participating in webinars, or engaging in online tech forums. Mention any specific sources you rely on for information.

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What challenges do you foresee in deploying AI solutions in logistics?

Highlight common challenges such as data quality issues, integration with legacy systems, and resistance to change among employees. Discuss how you would address these challenges through effective communication and strong project management techniques.

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How do you handle feedback from non-technical stakeholders?

Share your approach to understanding and incorporating feedback from non-technical stakeholders. Emphasize the importance of empathy, active listening, and effective communication in fostering collaboration.

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Why are you interested in working at Pallet as an AI Product Engineer?

Express your enthusiasm for Pallet's mission and values, along with your interest in being part of a team that's driving innovation in logistics through AI. Mention how your background aligns with the company's goals and your desire to contribute to transformative solutions.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 11, 2025

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