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Sales Engineer

Remote / Online - Candidates ideally in
San Jose, Santa Clara County, California, 95199, USA
Listing for: Signify Technology
Remote/Work from Home position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Machine Learning/ ML Engineer, Blockchain / Web3
Job Description & How to Apply Below

An AI company is hiring a Sales Engineer to operate at the intersection of technical execution and customer engagement. In this role, you’ll build demos from scratch, customize and extend existing demos, and run hands-on proofs of concept that help customers understand and adopt AI solutions in real-world environments. You’ll work directly with customer codebases, integrate AI tooling into backend systems, debug and prototype in Python, and translate complex technical capabilities into clear business value.

This is a highly technical, customer-facing role that requires light coding skills, comfort with APIs and modern AI tools, and the ability to move quickly from ambiguous requirements to working solutions. You’ll partner closely with sales, product, and engineering teams to support technical evaluations, guide customers through implementations, and influence how the product is positioned and adopted.

Requirements

  • Hands-on coding ability in Python, including debugging and live problem-solving
  • Experience building demos, prototypes, or proofs of concept for customers
  • Comfort working with APIs and backend systems; ability to integrate AI tooling into existing architectures
  • Exposure to GenAI / LLM tooling (e.g., OpenAI APIs, Lang Chain, Streamlit, or similar), professionally or through side projects
  • Experience in pre-sales, solutions engineering, or customer-facing technical roles
  • Ability to explain technical concepts clearly to both technical and non-technical stakeholders
  • Comfortable owning ambiguous problems and building solutions from scratch
  • Competitive compensation
  • Flexible hybrid or remote work options
  • Opportunity to work directly with advanced AI systems used in production
  • High ownership role with direct customer and product impact
  • Collaborative, fast-moving engineering culture
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