Box
Enterprise Sales Engineer
About this role
Box seeks an Enterprise Sales Engineer to drive technical sales for intelligent content management solutions in the West region. You'll own technical wins with enterprise clients, lead product demonstrations across Box's full suite (including AI capabilities), and serve as a liaison between sales and product teams.
What you'll do
- Research customer business problems and develop tailored technical solutions that demonstrate Box's value
- Own the technical deal strategy and drive solutions forward throughout the sales cycle
- Lead compelling product demonstrations showcasing BoxAI, integrations, and the full platform suite
- Act as technical quarterback coordinating cross-functional teams on solution architecture and implementation
- Communicate Box's technical and business value to both IT and business leadership audiences
- Travel up to 50% to support enterprise accounts and field marketing events as a subject matter expert
What they're looking for
- Pre-sales, solutions engineering, or technical consulting in SaaS/enterprise software (5+ years)
- AI fluency including LLMs, embeddings, prompt engineering, and automation concepts
- Presentation and storytelling skills for technical and non-technical audiences
- Complex technical concept comprehension and translation into business value
- API, webhook, and modern architecture knowledge (REST, OAuth, JSON, Python, JavaScript)
- Low-code/no-code automation platforms (Nintex, Zapier, Workato, n8n)
- Product integration and MCP server understanding
- Sales cycle management and customer problem-solving
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Box
Box builds cloud-native infrastructure and content management platforms, operating large-scale backend services, Kubernetes-based systems, and edge networking solutions. The company is hiring senior engineers to design and operate mission-critical infrastructure systems, as well as solutions engineers to drive sales and technical implementations with SMB and mid-market customers.
- Website
- box.com
Likely interview questions
- Walk us through a complex enterprise deal where you owned the technical strategy—how did you ensure alignment between customer requirements and product capabilities?
- Describe your experience demonstrating AI-powered solutions to enterprise customers. How do you make LLMs and embeddings tangible and relevant to their business?