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Thomson Reuters

Legal, financial data, and media services

CPQ Lead Solution Engineer - Salesforce Conga CPQ/PROS

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of CRM technical experience, including at least 4 years of hands-on Conga CPQ customization and configuration, along with AI-driven solutions such as Agentforce or similar agent-based technologies; expertise integrating Conga CPQ, Turbo Price, Digital Commerce, and/or PROS Pricing to streamline sales workflows and improve productivity.
  • Knowledge of Conga product configuration management, pricing management, and workflow approval processes, including price dimensions and rulesets, with AI-assisted optimization and integration with Salesforce.
  • Strong technical knowledge of product modeling, pricing, quotation, contract lifecycle, and data migration, including CPQ approvals and discounts.
  • Experience with cloud platforms, preferably AWS, and integration tools such as Dell Boomi, Apigee, and Informatica, with exposure to integrating AI services and APIs.

Responsibilities

  • Drive engineering strategy, planning, design, and implementation of Conga Configure, Price, and Quote (CPQ), Conga Turbo Price, Conga Digital Commerce, and PROS Pricing solutions.
  • Provide technical leadership by establishing best practices, enforcing quality standards, conducting code reviews, and mentoring team members.
  • Lead technical research, prototyping, and solution evaluation to recommend tools and architectures, while staying current with Salesforce and Conga updates.
  • Collaborate with cross-functional teams, technical leads, architects, and third parties to deliver solutions.
  • Troubleshoot and resolve complex technical issues, delivering timely remediation and ensuring system stability and scalability.
  • Foster continuous improvement, learning, innovation, and deployment.
  • Prepare solution development estimates and technical plans, identifying dependencies and risks.

Desired Qualifications

  • A good grasp of technical and quality standards, best practices, and guidelines.
  • Proficiency in Agile methodologies and DevOps principles.
  • Knowledge of Product Trials, subscriptions, and Commerce, especially when combined with AI-driven personalization, recommendation engines, and intelligent sales assistants.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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