AI-Driven Enterprise Solutions Engineer

Box

Los Angeles (CA)

Ibrido

USD 140.000 - 190.000

Tempo pieno

7 giorni fa
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Descrizione del lavoro

Box is seeking a Solutions Engineer to engage enterprise clients, articulate the value of the Box platform, and lead technical demonstrations. You will collaborate with sales and product teams to craft customer-specific solutions leveraging BoxAI, governance, and integration capabilities.

Ideal candidates have 5+ years in pre-sales or technical consulting for SaaS/AI platforms, strong presentation skills, and experience with ECM systems. Travel up to 50% may be required.

Competenze

  • 4 year degree or equivalent work experience required.
  • 5+ years of pre-sales, solutions engineering, or technical consulting in SaaS/enterprise AI.
  • Proven ECM systems, architectures and content lifecycle workflow experience.
  • AI-curious and fluent with LLMs, embeddings, automation, and prompt engineering.

Mansioni

  • Research and identify customer business problems; iterate to improve the experience.
  • Own the technical win and drive the technical deal forward.
  • Understand product integrations and MCP servers.
  • Lead demos showing the value of Box solutions (BoxAI, Sign, Governance, Canvas, Platform).
  • Act as technical quarterback across the extended team on solution-centric goals.
  • Demonstrate strong business acumen and communicate value to customers.
  • Support field events as Box SME and presenter.

Conoscenze

Presentation skills
Business communication
AI-curious
Customer-facing storytelling

Formazione

Bachelor's degree or equivalent

Strumenti

Nintex
Zapier
Workato
n8n

Descrizione del lavoro

Box is seeking a Solutions Engineer to engage enterprise clients, articulate the value of the Box platform, and lead technical demonstrations. You will collaborate with sales and product teams to craft customer-specific solutions leveraging BoxAI, governance, and integration capabilities.

Ideal candidates have 5+ years in pre-sales or technical consulting for SaaS/AI platforms, strong presentation skills, and experience with ECM systems. Travel up to 50% may be required.

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