About Pallet
Pallet is building AI Agents to transform logistics — 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 logistics 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 logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, 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 a GTM / Sales Engineer— a hybrid technical and customer-facing role that connects our AI platform to the real workflows of the world’s largest logistics companies.
You’ll own technical validation and custom demos, work directly with Sales, Product, and Engineering, and drive proofs of concept that show customers what’s possible when AI meets logistics. This is a founding role with the opportunity to build the playbook and eventually scale the Sales Engineering org.
Why this role is different:
- Founding member of the GTM/Sales Engineering team — help shape process, tooling, and best practices.
- Combines hands-on integration and workflow design with storytelling and customer credibility.
- Work directly with executives and customers across the enterprise logistics ecosystem.
- Learn deeply about AI agent architecture (browser automation, voice AI, RAG/memory systems).
How you will make an impact:
- Own and deliver technical demos that accelerate deals — translate real customer workflows into high-impact, tailored experiences.
- Build quick integrations and prototypes using Zapier, Retool, or Make to demonstrate value fast.
- Map and reason through data flows across TMS, WMS, and CRM systems — understanding APIs, schemas, and webhooks.
- Partner with Sales on proofs of concept and technical validation throughout the deal cycle.
- Communicate clearly across audiences — from operations leads to CTOs, adapting depth and framing as needed.
- Enable the GTM team — build demo templates, run feature briefings, and improve internal technical fluency.
- Feed insights back to Product — capture workflow pain points and feature requests from the field to shape roadmap direction.
Preferred experience:
- 5+ years in a Sales Engineer, Solutions Engineer, or Forward Deployed Engineer role, ideally at a high-growth B2B SaaS or AI company.
- Strong technical fluency — able to reason about APIs, data schemas (JSON), and system integrations.
- Experience with automation or AI-driven products (e.g., browser automation, RAG, voice AI, etc.).
- Comfortable building quick prototypes with low-code tools (Zapier, Make, Retool, Postman).
- Excellent storytelling and presentation skills — able to engage both technical and executive audiences.
- High curiosity and adaptability — thrives in ambiguity and learns fast.
Interview Process:
- Intro Call with Talent Team - 30 mins
- Chat with Hiring Manager - 45 mins
- Technical Take-Home + Schedule Presentation
- Final Interview - 2 hours
Travel:
- Travel will be involved with this role, 20-25%
Our Benefits
We invest in our people the same way we invest in our product: seriously.
- 🩺 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; helping 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
- 🏡 Remote office home stipend to get you comfy in your space
- 🍔 Daily catered lunches provided
- ✈️ Onboarding trip to San Francisco HQ if you work remotely
- 🥤 Monthly happy hours
- 🎉 Annual Company Offsites; our last one was in Palm Springs CA 🌴
Workplace Policy
We are an in-person company. Our offices in San Francisco and New York City are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other.
Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to San Francisco for their first week to onboard and meet the team, and we cover the full trip. Most remote employees visit once a year after that, with all travel, lodging, and meals on us.
Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. No surprises.
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.
Candidate Privacy Notice
Please review Pallet’s Candidate Privacy Notice here.
Accommodations
Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.
If you need any assistance or accommodations due to a disability, please contact us at [email protected].
Pallet Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pallet and has not been reviewed or approved by Pallet.
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Fair & Transparent Compensation — Compensation ranges for key sales and engineering roles are publicly listed at competitive levels on current postings, signaling a market-forward stance. Role descriptions highlight strong OTE for enterprise sales and high base pay for SF/NY engineering.
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Equity Value & Accessibility — Equity is offered to all staff and described as generous across postings, indicating broad access to ownership. This positioning aligns with attracting senior talent in SF/NY.
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Healthcare Strength — Medical, dental, and vision coverage plus life and short-term disability are included across postings, signaling a solid health and protection baseline. These core plans appear consistently referenced company-wide.
Pallet Insights
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What We Do
Pallet makes supply chains more efficient. Our AI workforce, CoPallet, handles high-volume tasks like order entry, portal updates, and quoting — all with human-level accuracy and oversight. CoPallet operates your existing tools and processes at a fraction of the cost. We’ve raised over $50M from General Catalyst, Bain Capital Ventures, Activant Capital, and Bessemer Venture Partners. We’re built by a team from the world’s best companies including Google, Rippling, Scale AI, Uber, and other top startups.
Why Work With Us
We move fast, but not at the expense of our people. Growth here means more than hitting metrics — it’s about giving smart, ambitious people the space to stretch, learn, and take on real responsibility. Ownership from day 1: We hire builders. People who want to make decisions, talk to users, and shape how our AI agents evolve.
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