Remote AI SaaS Solutions Engineer

True Talent Solutions Partners

United States

Remote

USD 150,000 - 200,000

Full time

2 days ago
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Job summary

True Talent Solutions Partners is seeking a skilled Technical Pre-Sales professional to join a B2B AI team blending sales, product, engineering, and insurance brokerage customers. You will lead pilots and deployments, helping prospects see value while shaping platform configurations and adoption.

You will partner with account executives to design customer pilots, translate workflows into Python scripts and integrations, and guide deployments across multiple data sources.

Qualifications

  • 2 to 6 years in a technical pre-sales role
  • Ability to explain technical concepts to non-technical buyers
  • Experience with discovery, demos, pilots, and prototypes
  • Background in B2B SaaS or AI; insurance/brokerage exposure is beneficial

Responsibilities

  • Partner with sales to design and deliver customer pilots that demonstrate product value.
  • Translate insurance workflows into Python scripts, agent skills, and deployment architecture.
  • Configure and validate integrations with agency management systems, CRMs, carrier portals, and other data sources.
  • Lead technical discovery, demos, and deployments, supporting customer enablement and adoption.
  • Share customer feedback with product and engineering teams to inform the roadmap.
  • Improve deployment practices so lessons from each customer engagement can be reused.

Skills

Python
API integration
Technical pre-sales
Cross-functional collaboration
Discovery & demos

Tools

AI coding tools

Job description

True Talent Solutions Partners is seeking a skilled Technical Pre-Sales professional to join a B2B AI team blending sales, product, engineering, and insurance brokerage customers. You will lead pilots and deployments, helping prospects see value while shaping platform configurations and adoption.

You will partner with account executives to design customer pilots, translate workflows into Python scripts and integrations, and guide deployments across multiple data sources.

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