MA
MANN+HUMMELRevenue Enablement Specialist
Revenue Enablement Specialist at MANN+HUMMEL in hybrid role. Empowering sales organization with training tools and support to excel in the competitive market.
About the role
- 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
Requirements
- 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.
Benefits
- 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
- Life insurance
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