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We are looking for a skilled Sr. SAP BRIM Convergent Charging (CC) Analyst with 8+ years of experience to support dynamic pricing and billing operations in a ride-share / mobility ecosystem. The role focuses on designing and managing real-time, usage-based charging models for trips, driver incentives, commissions, and subscription offerings.
In This Role, You Will...

• Design and configure real-time charging and rating solutions in SAP Convergent Charging for ride-share use cases, supporting high-volume, event-driven processing (trip, GPS, and usage data).
• Implement complex pricing models including trip fares (base, time, distance), surge/dynamic pricing, cancellations, waiting charges, and driver commissions/platform fees.
• Configure discounts, promotions, referral credits, loyalty programs, and subscription models (e.g., ride passes, premium memberships).
• Integrate SAP CC with ride booking/trip systems, payment gateways/wallets, and SAP BRIM modules (CI, SOM, FI-CA) to enable seamless end-to-end O2C processes.
• Monitor and optimize pricing performance, ensure accurate event rating (trip start/stop, distance/time, peak multipliers), and troubleshoot billing discrepancies and real-time charging issues.

Qualifications

• 8+ years of SAP BRIM experience with strong specialization in SAP Convergent Charging, focusing on usage-based and event-driven charging models.
• Hands-on expertise in real-time rating, pricing configuration, and complex pricing logic (tiered, time-based, geo-based).
• Strong understanding of mobility/ride-share pricing models, including distance/time billing, surge pricing, and commission structures.
• Experience working with high-throughput transactional systems, APIs, event streaming, and real-time data integrations.
• Solid knowledge of financial settlement flows, taxes, fees, and regional pricing/regulatory requirements.

Bonus Qualifications

• Knowledge of SAP S/4HANA BRIM
• Familiarity with microservices architecture and cloud platforms (e.g., SAP BTP, AWS)
• Exposure to geo-based pricing and location-aware charging models

$198,000 - $237,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.