Description:
Thomson Reuters is looking to add a strong CPQ Lead Solution Engineer to a well-established global engineering team. This position requires someone who is a passionate about technology, a strong team player, and is comfortable working with a variety of people and technology stacks. This is a chance to get in and make an impact transforming the way our customers interact with us as we shape the next generation of an enterprise-wide experience.
Key Responsibilities
- Drive the 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 to drive high performance.
- Lead technical research, prototyping, and solution evaluation to recommend optimal tools and architectures, while staying current with updates in Salesforce and Conga.
- 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 a culture of continuous improvement, learning, innovation and deployment.
- Prepare solution development estimates and technical planning, identifying dependencies and risks.
Required Qualifications
- 10+ years of experience in a technical leadership position designing, developing, and integrating Conga (CPQ, Turbo Price, Digital Commerce) and/or PROS with Salesforce, with a strong focus on leveraging AI-driven Agentforce capabilities to streamline sales workflows and improve team productivity.
- Knowledge of Conga product configuration management, pricing management, and workflow approval processes, including price dimensions and rulesets, with AI-assisted optimization and seamless 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
Preferred 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 is a plus, especially when combined with AI-driven personalization, recommendation engines, and intelligent sales assistants.