Senior Staff Revenue Strategy and Yield Manager

This role is accountable for building and institutionalizing a global revenue and pricing strategy that maximizes the economic value of our autonomous fleet. This leader defines advanced product and service packages and operationalizes Go-to-Market levers to maximize revenue per vehicle and per ride. The scope includes leading the rigorous experimentation and optimization of the entire commercial model – encompassing dynamic pricing, B2B vs B2C mix, promotions, and strategic partnerships – to accelerate profitability while maintaining brand integrity. This person leads the global Revenue Strategy and serves as the executive stakeholder to Product and Engineering to ensure the technical roadmap supports monetization.

In this role, you will...

• Define and own the revenue, pricing, and yield strategy establishing the frameworks and long-range roadmap that maximize revenue per vehicle and per ride.
• Design, test, and operationalize advanced pricing models—including dynamic pricing, willingness-to-pay segmentation, supply/demand balancing, and marketplace health metrics—to improve unit economics without compromising customer trust.
• Develop differentiated product and service packages (e.g., tiers, bundles, B2B offerings) and partner with Go-to-Market teams to bring them to market with clear value propositions and measurable impact.
• Translate insights into executive-level recommendations, influencing C-suite, Product, Engineering, Operations, and Finance stakeholders to drive monetization decisions.
• Serve as the executive-level thought partner to Product & Engineering, ensuring the technical roadmap (pricing engines, ML models, experimentation capabilities, marketplace tools) unlocks revenue and yield optimization at scale.
• Build and institutionalize global revenue processes and playbooks, enabling consistent experimentation, forecasting, and pricing governance across markets.
• Monitor marketplace dynamics, external benchmarks, and competitive signals to proactively identify pricing risks, opportunities, and required strategy shifts

Qualifications

• 12+ years of experience in pricing strategy, revenue management, marketplace economics, growth strategy, or related analytical roles; experience in autonomous vehicles, mobility, travel, tech marketplaces, or logistics preferred.
• Deep expertise in dynamic pricing, yield management, and marketplace economics, with a strong track record of designing and scaling monetization models in complex, multi-sided platforms.
• Advanced analytical and modeling skills, including experimentation design (A/B, quasi-experimental methods), causal inference, segmentation, and forecasting.
• Proficiency with analytical tools such as SQL, Python/R, and BI platforms; ability to independently pull data, build models, and validate insights.
• Demonstrated ability to influence executive stakeholders and drive cross-functional decisions through clear storytelling, robust financial modeling, and data-backed recommendations.
• Experience partnering closely with Product and Engineering on pricing systems, ML-based optimization models, experimentation platforms, and/or marketplace tooling.
• Excellent communication and narrative-building skills, with the ability to simplify complex economic concepts for diverse audiences.
• Bias toward action and experimentation, with a track record of building new strategies, frameworks, or monetization programs from zero-to-one.
• Bachelor’s degree required in Economics, Engineering, Mathematics, Business, or a related field; MBA or advanced quantitative degree preferred.

$256,000 - $357,000 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.