Enterprise Solutions Engineer for AI CAD Platforms

Zoo; Los Angeles (CA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Zoo, based in Los Angeles, seeks a Solutions Engineer to partner with the sales team and customers on how Zoo can address technical requirements. You will push deals forward, overcome objections, and ensure a smooth post-sale transition, driving adoption of Zoo’s tools across customer teams.

You’ll need deep knowledge of the hardware design ecosystem, APIs, and MCP, plus hands-on AI tools like Codex, to craft ROI-driven solutions and compelling demonstrations.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• Experience in a customer-facing engineering role, supporting technical sales to large enterprise customers.
• Ability to translate customer requirements into effective technical solutions.
• Familiarity with CAD software and AI tools like Codex.

Responsibilities

• Engage with Zoo customers and guarantee success of their use cases built on top of Zoo’s APIs.
• Develop a deep understanding of Zoo products and how to position with customers.
• Build highly interactive customer demonstrations to educate potential customers and share best practices on integration.
• Collect requirements and provide guidance to apply Zoo products to achieve customer goals.
• Partner with the team to translate prospect feedback into product insights.
• Work closely with sales to jointly close new enterprise customers.
• Guide new enterprise customers through proof-of-concept projects with ROI focus.
• Assist sales as the technical expert to close deeper commercial deals after a POC.

Skills

Customer workflows

Executive communication

Technical sales support

Cross-functional collaboration

Education

Bachelor’s degree in Mechanical Engineering, Computer Science, Robotics, or related field

Tools

CAD software

Codex

Model Context Protocol (MCP)

APIs

Job description

Zoo, based in Los Angeles, seeks a Solutions Engineer to partner with the sales team and customers on how Zoo can address technical requirements. You will push deals forward, overcome objections, and ensure a smooth post-sale transition, driving adoption of Zoo’s tools across customer teams.

You’ll need deep knowledge of the hardware design ecosystem, APIs, and MCP, plus hands-on AI tools like Codex, to craft ROI-driven solutions and compelling demonstrations.