Manager, MCube Enablement

The Company:

Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence–enabled technologies.

Founded in 2014, the Company is on a mission to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration.

The Company aims to leverage the latest technologies and the world’s best talent to realize exciting new possibilities across all of these lines. Faraday Future’s automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation.

Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.

Your Role:

M-Cube is the Company’s proprietary direct sales network, built on a team-based collaboration model that maximizes and optimizes sales capabilities to drive sales conversion. The Manager, M-Cube Enablement is a key member of the M-Cube Enablement team, the mid-end function of the M-Cube organization dedicated to the operation and optimization of the overall M-Cube program, providing management and operations support to front-line M-Cube business teams.

This role covers three core areas: policy operations, incentive operations, and system operations, combining strong analytical and execution skills with close cross-functional collaboration.

Key Responsibilities:

• Ensure that all M-Cube policies (long-term, short-term, and seasonal) issued by the Sales Mid-End team are recorded, published in real time, and implemented in the system, maintaining a centralized, version-controlled policy repository with effective dates and scope.
• Configure and validate policy rules in the system prior to go-live, communicate policy updates to front-line teams in a timely manner, and monitor execution to identify and resolve gaps.
• Calculate M-Cube incentives on a scheduled cycle based on sales performance data and applicable policies, ensuring data accuracy and completeness, and track incentive costs and effectiveness to support policy optimization.
• Review incentive results, manage approval workflows, and publish incentive statements to front-line teams; coordinate with Finance on incentive payouts and address incentive-related inquiries and disputes.
• Gather and analyze front-line business requirements, translate them into clear system requirement documents, and prioritize optimization requests and the requirement backlog in partnership with the development team.
• Drive continuous M-Cube system optimization across the full cycle from requirement submission to new feature launch, including leading user acceptance testing (UAT), coordinating launches, and providing user training and documentation.
• Provide additional support to front-line M-Cube business teams as needed.
• Basic Qualifications: Bachelor’s degree or higher
• 5-10+ years of experience in direct sales, social commerce, distribution platforms, or affiliate marketing (Affiliate/CPA)
• Familiarity with compensation plan design for distributor networks and partner/affiliate incentive programs, including performance-based sales incentive structures such as tiered commissions, team-based rewards, advancement criteria, and payout controls, with the ability to independently model payout rates and profit impact
• Strong data skills, with advanced Excel modeling capabilities, including sensitivity analysis and multi-scenario simulation
• Hands-on experience in rule execution and operations, including commission settlement, risk control for abnormal or fraudulent orders, policy communication, and partner engagement

Preferred Qualifications:

• Experience designing or operating a Distributor Compensation Plan (Comp Plan), Incentive Compensation (IC) program, Channel/Partner Incentive Program, or Commission Structure
• Experience using ERP or CRM systems such as Microsoft Dynamics 365, NetSuite, SAP, Salesforce, or similar platforms
• Hands-on experience in system implementation across the full cycle, from requirements gathering to system launch
• Ability to travel and work weekends as needed
• Fluency in spoken Mandarin