AI‑Driven CPQ Solutions Engineer

Threekit

Chicago (IL)

Hybrid

USD 90,000 - 140,000

Full time

6 days ago
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Benefits offered by this job

Insurance package
Equity & 401k
Unlimited PTO
Hybrid work model
Culture & collaboration

Job summary

Threekit is seeking a hands-on Solutions Engineer to join our Sales Engineering team in Chicago, serving as a client-facing technical partner who demonstrates and configures Threekit's AI-native CPQ platform.

You'll show prospects how AI ingests catalogs, infers configuration and pricing rules, and produces accurate quotes faster than legacy CPQ, partnering with Account Executives and cross-functional teams to keep solutions technically accurate.

Qualifications

  • 4-6 years in a client-facing technical role such as Solutions Engineer or Sales Engineer.
  • Strong technical aptitude with ability to learn new technologies quickly.
  • Foundational understanding of web technologies, APIs, and SaaS architectures.
  • Experience with configuring products, pricing, and quoting workflows and AI is a plus.

Responsibilities

  • Partner with Account Executives to support deals through technical discovery and demonstrations.
  • Map customer quoting workflows, product rules, and approval paths during client meetings.
  • Deliver AI-driven configuration, pricing, and quoting demos using customer catalogs and rules.
  • Respond to technical questions during the sales cycle (RFP/RFI).

Skills

Solutions Engineer
Pre-sales
AI in CPQ
APIs
Web technologies
Communication

Education

Bachelor's degree in CS/Engineering

Tools

Salesforce CPQ
Oracle CPQ
PROS
Tacton
Configit

Job description

Threekit is seeking a hands-on Solutions Engineer to join our Sales Engineering team in Chicago, serving as a client-facing technical partner who demonstrates and configures Threekit's AI-native CPQ platform.

You'll show prospects how AI ingests catalogs, infers configuration and pricing rules, and produces accurate quotes faster than legacy CPQ, partnering with Account Executives and cross-functional teams to keep solutions technically accurate.

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