Box
Enterprise Solutions Engineer
About this role
Box seeks an Enterprise Solutions Engineer to drive technical wins with enterprise customers by delivering compelling demonstrations of the Box platform, managing solution architecture, and acting as a bridge between sales and product teams. This Bay Area-based role requires deep platform knowledge, AI expertise, and the ability to articulate business value across Box's full suite of content management and AI solutions.
What you'll do
- Identify and understand customer business problems, developing tailored technical solutions that demonstrate Box platform value
- Own the technical aspects of enterprise deals and quarterback cross-functional teams to ensure successful implementations
- Lead product demonstrations showcasing BoxAI, Shield, Relay, Sign, Governance, Canvas, and other platform capabilities
- Understand and explain product integrations, MCP servers, and technical architectures to stakeholders
- Support field marketing events as a subject matter expert and presenter
- Travel up to 50% to engage directly with customers in territory
What they're looking for
- Solutions engineering and pre-sales expertise in SaaS or enterprise software
- AI and LLM knowledge including embeddings, automation, and prompt engineering
- Strong presentation and demo design skills for technical and business audiences
- API, webhook, and modern architecture familiarity (REST, OAuth, JSON, Python, JavaScript)
- Low-code/no-code automation platforms (Nintex, Zapier, Workato, n8n)
- Complex technical concept communication and business acumen
- Content management and cloud platform understanding
- Account management and deal progression skills
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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
- Tell us about a complex technical solution you've designed in a pre-sales role and how you communicated its value to both technical and business stakeholders.
- How would you approach learning and then demonstrating Box's AI capabilities to a customer unfamiliar with LLMs and enterprise AI?