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As the Program Manager for Monetization Launch Readiness, you will architect Zoox’s "Order-to-Cash" journey. You will bridge autonomous technology and financial operations, ensuring our payment systems and pricing logic are flawless at scale. You are the driving force behind the commercial roadmap, leading the cross-functional execution required to bring Zoox to market.
In This Role, You Will:
- Market Launch Orchestration: Lead the end-to-end deployment of monetization features across new urban markets, ensuring local payment compliance and operational readiness.
- Cross-Functional Synergy: Act as the central nervous system between Product, Engineering, Data Science, Finance, and Ops to ensure code-complete status and financial reconciliation accuracy.
- Operational Validation: Oversee the rigorous validation pipeline, including "on-vehicle" testing of payment hardware and software to guarantee a frictionless rider experience.
- System Integrity & Triage: Own the "Monetization War Room"—triaging bugs, managing technical debt, and overseeing rapid resolution cycles to meet strict geofence launch deadlines.
- Strategic Planning: Build and maintain the master "Workback Plan," translating high-level executive goals into granular, actionable milestones.
- Process Evolution: Identify systemic bottlenecks in the launch lifecycle and implement scalable improvements to our monetization workflows.
Qualifications:
- The Experience: 5–8 years of professional experience, specifically in New Product Introductions (NPI) or launching complex technical systems at scale.
- The Domain: A multi-disciplinary background with a deep footprint in payments, billing architectures (e.g., SAP BRIM), or financial systems.
- The Pedigree: MBA preferred, or equivalent experience in a high-growth tech environment.
- The Mindset: A "roll-up-your-sleeves" attitude. You are as comfortable in a high-level steering committee as you are in the backseat of a robotaxi debugging a payment terminal.
- Communication: The ability to distill complex technical blockers into concise, executive-level status updates and strategic recommendations.
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.
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
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- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
