Join Pallet as an Enterprise Sales Engineer to connect AI solutions with logistics workflows in a rapidly growing company.
Posted by employer 5 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 2 hours ago
AI in the day-to-day
Our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time.
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The Enterprise Sales Engineer at Pallet plays a crucial role in bridging the company's AI platform with the operational needs of major logistics firms, focusing on technical validation and custom demonstrations. This position requires strong technical skills, particularly in APIs and system integrations, along with the ability to create quick prototypes using low-code tools. Ideal candidates will have over five years of experience in a similar role, showcasing a blend of technical fluency and storytelling prowess to engage diverse audiences. As a founding member of the Sales Engineering team, this role offers a unique opportunity to shape processes and contribute to the company's rapid growt
Quick facts
- Is the Enterprise Sales Engineer (Remote) role remote?
- It's hybrid — Pallet expects some on-site time in Remote.
- How much experience is required?
- At least 5 years of relevant experience for this Enterprise Sales Engineer (Remote) role.
- Where is the role based?
- Pallet is hiring for this position in Remote.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Automation, Logistics, Make, Postman, Retool.
- What seniority level is this role?
- Pallet targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Enterprise Sales Engineer (Remote) role at Pallet.
From the original posting
About the opportunity:
We’re hiring an Enterprise 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 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, ~25%
Standard company text repeated across Pallet's postings is omitted here.