Drimva

Thomson Reuters

CPQ Lead Solution Engineer - Salesforce Conga CPQ/PROS

$118K–$220K

United States of America, Eagan, Minnesota +1 · Hybrid · Full-time · Posted Sep 2, 2026

Location
United States of America, Eagan, Minnesota
Canada, Toronto, Ontario
Experience
10+ years of CRM technical experience, including 4+ years of hands-on Conga CPQ customization and configuration.

About the job

Lead engineering strategy and delivery for Salesforce-based CPQ, pricing, and commerce solutions, managing technical implementation and team quality.

What you'll do

  • Plan, design, and implement Conga CPQ, Conga Turbo Price, Conga Digital Commerce, and PROS Pricing solutions.
  • Provide technical leadership through best practices, code reviews, quality standards, and mentoring.
  • Collaborate across teams to evaluate architectures, resolve complex issues, and plan development estimates, dependencies, and risks.

What they ask for

  • 10+ years of CRM technical experience, including 4+ years of hands-on Conga CPQ customization and configuration.
  • Experience with AI-driven solutions such as Agentforce or similar agent-based technologies, and integrating Conga CPQ, Turbo Price, Digital Commerce, and/or PROS Pricing.
  • Knowledge of Conga product configuration, pricing, workflow approvals, Salesforce integration, product modeling, quotations, contracts, data migration, CPQ approvals, and discounts.
  • Experience with cloud platforms and integration tools such as Dell Boomi, Apigee, and Informatica.

Nice to have

  • Proficiency in Agile methodologies and DevOps principles.
  • Knowledge of Product Trials, subscriptions, and Commerce, particularly with AI-driven personalization, recommendation engines, or intelligent sales assistants.

Pay

$118,400 USD - $219,800 USD (base salary); $140,600 CAD - $190,600 CAD (base salary)

Tools

Conga CPQ, Conga Turbo Price, Conga Digital Commerce, PROS Pricing, Salesforce, Agentforce, AWS, Dell Boomi

AI focus

Implement AI-driven solutions, integrate AI services and APIs, and support AI-assisted pricing optimization and AI-enabled sales capabilities.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)