Required Qualifications:
- Proficiency in backend development with Python.
- Proficiency in scripting languages like JavaScript.
- Extensive knowledge of SAP CPQ customization, product configuration, pricing rules, and quote generation processes.
- Strong ability to gather requirements and lead technical discussions with stakeholders.
- Experience leading and mentoring a development team.
Additional Qualifications:
- Proficiency in SAP CPQ 2.0 engine.
- Experience with SAP ECC, SAP CRM.
- Familiarity with Agile methodologies and DevOps practices.
- Ability to work effectively in cross-functional teams.
- Strong analytical and problem-solving skills.
- Certification in SAP CPQ or related SAP technologies is an advantage.
Key Responsibilities:
- Lead the design, development, and customization of complex SAP CPQ solutions.
- Ensure high performance and reliability of CPQ solutions, handling advanced pricing and configuration logic.
- Act as the technical lead, providing guidance and mentoring to junior and mid-level developers.
- Collaborate with clients to define technical requirements and solutions.
- Take ownership of technical delivery, including code quality, testing, and deployment processes.
- Optimize the SAP CPQ platform to improve usability and client satisfaction.
Skills Required
- Proficiency in backend development with Python
- Proficiency in scripting languages like JavaScript
- Extensive knowledge of SAP CPQ customization
- Experience leading and mentoring a development team
What We Do
We specialize in transforming Revenue Operations through advanced technological integration, combining AI, analytics, and strategic workflow automation. Our core competency lies in developing comprehensive revenue optimization strategies that unify critical business functions including marketing, sales, billing, enterprise resource planning, and revenue recognition. Leveraging SAP and other vendors' enterprise technologies we deliver sophisticated solutions that enable organizations to: - Develop strategic outcome-based business models - Implement enterprise-wide digital transformation - Optimize complex revenue management processes - Minimize implementation risks and operational costs Our approach is distinguished by: 1. Comprehensive industry expertise 2. Advanced technological architecture 3. Proven deployment methodologies 4. Balanced focus on long-term strategic planning and immediate operational improvements We collaborate with clients to design precision-engineered revenue ecosystems that align technological capabilities with strategic business objectives, ensuring sustainable growth and operational efficiency. Expertise Areas: 1. Intelligent Revenue Operations (iRevOps) 2. Enterprise Technology Integration 3. Strategic Digital Monetization 4. AI-Enhanced Business Process Optimization Our methodological framework transforms complex business requirements into streamlined, data-driven operational strategies.
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