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Enterprise Sales Engineer

United StatesRemoteFull TimePosted 10 days ago

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Role summary

We are seeking an Enterprise Sales Engineer to join our founding Sales Engineering team. This hybrid technical and customer-facing role will connect our AI platform to the workflows of major logistics companies. You will be responsible for technical validation, custom demos, and driving proofs of concept. The role involves hands-on integration, workflow design, and clear communication with both technical and executive audiences. You will also contribute to building the sales engineering playbook, shaping processes and tooling, and providing feedback to the product team. Experience with B2B SaaS, AI products, APIs, data schemas, and low-code tools is essential.

### Who you are
- 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

### What the job involves
- 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
- 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)
- 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

### The application process
- Intro Call with Talent Team - 30 mins
- Chat with Hiring Manager - 45 mins
- Technical Take-Home + Schedule Presentation
- Final Interview - 2 hours

### Benefits
- 🩺 Health, Vision and Dental benefits
- 🏝️ Flexible PTO
- ➕ Life Insurance and Accidental Insurance
- ❤️‍🩹 Short-Term Disability Coverage
- 💸 Equity for all staff
- 🪜 401k option; helping you save for the future
- 📚 Yearly learning and development stipend
- 🚌 Commuter benefits if you live in SF
- 🚘 Fully covered uber ride home if you ever have to work late in the office
- 🏡 Remote office home stipend
- 🥤 Monthly happy hours; our last one was a Golden Gate Park BBQ
- 🍲 Company paid dinners on Tuesdays and Thursdays in the office
- 🎉 Annual Company Offsites; our last one was in Sonoma Wine Country 🍷

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