CPQ Lead Solution Engineer - Salesforce Conga CPQ​/PROS

About the Role

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.

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.

Proficiency in Agile methodologies and Dev Ops principles.

Knowledge of Product Trials, subscriptions, and Commerce is a plus, especially when combined with AI‑driven personalization, recommendation engines, and intelligent sales assistants.

Hybrid Work Model:
Flexible hybrid working environment (2‑3 days a week in the office, depending on the role) that supports both digital and physical collaboration.

Flexibility & Work‑Life Balance:
Policies that allow work from anywhere for up to eight weeks per year, and support for personal and professional responsibilities.

Career Development:
Continuous learning programs, skills‑first approach, and growth opportunities in an AI‑enabled future.

Industry Competitive Benefits:
Flexible vacation, mental health days, Headspace access, retirement savings, tuition reimbursement, and resources for mental, physical, and financial wellbeing.

• Eligible office locations:
New York City, San Francisco, Los Angeles, Irvine, CA;
McLean, VA;
Washington, DC (and others).

• Base compensation range (US locations): $118,400 USD – $219,800 USD (location variable).

• Other compensation may include annual bonus and total reward program.

Thomson Reuters is an Equal Employment Opportunity Employer. We comply with all laws covering discrimination and provide reasonable accommodations for applicants with disabilities and for those with sincerely held religious beliefs. For accommodations, contact the recruitment team