Overview
As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape
Full job description
About The Role
As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape how an autonomous mobility business is run.
In This Role You Will:
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Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan.
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Partner day to day with Data Science on elasticity estimation, price effects modeling, demand and supply forecasting, supply planning, and marketplace simulation, bringing a clear point of view on what to build.
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Set the priorities for the vertical: size the expected business impact and effort of each initiative with the science and engineering leads, stack rank them, and re-rank each quarter as results come in.
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Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk.
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Design the experiments and simulation studies that gate launches, set ship criteria and guardrail metrics before launch, make the ship call, and write the readout against the sizing that justified the work. Run the weekly operating cadence with Commercial Operations, Fleet Operations, and Finance: diagnose variance, propose changes to live levers, and present lever performance and roadmap status to leadership.
Qualifications And Requirements
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8+ years in product management, technical program management, or marketplace strategy roles, including significant time on marketplace products — ride-hail, delivery, travel, or similar — where pricing, incentives, matching, or supply planning was the product.
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Demonstrated ability to specify an optimization problem in writing: given "we should price better," you can return an objective, its constraints, the data it needs, the guardrails it must respect, and the experiment that validates it.
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A track record of driving a roadmap to completion through teams that do not report to you, changing priorities with evidence rather than authority.
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A quantitative foundation: a degree in economics, operations research, statistics, or a similar field, and practical experience applying it — specifying or building models, running experiments, and reading their results.
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Clear writing and presentation skills: PRDs that engineers and scientists can build from, and readouts that leadership can decide on.
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The judgment to know which decisions need a model and which need a defensible heuristic shipped this week, in a business that is standing up its first markets.
Bonus Qualifications
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Pricing or revenue management for a capacity-constrained business — airlines, hotels, freight, logistics, or energy — where the asset, not the labor pool, is the constraint.
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Experience taking a pricing, incentives, or fleet management system from zero to production, including the operator tooling, data model, and rollback plan.
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Deep technical grounding from graduate study in economics, operations research, statistics, or machine learning.
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Hands-on experience with experiments where units interfere (geo and time splits, switchbacks, holdouts) and with simulation when a live test is not feasible.
Requirements & qualifications
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8+ years in product management, technical program management, or marketplace strategy roles, including significant time on marketplace products — ride-hail, delivery, travel, or similar — where pricing, incentives, matching, or supply planning was the product.
-
Demonstrated ability to specify an optimization problem in writing: given "we should price better," you can return an objective, its constraints, the data it needs, the guardrails it must respect, and the experiment that validates it.
-
A track record of driving a roadmap to completion through teams that do not report to you, changing priorities with evidence rather than authority.
-
A quantitative foundation: a degree in economics, operations research, statistics, or a similar field, and practical experience applying it — specifying or building models, running experiments, and reading their results.
-
Clear writing and presentation skills: PRDs that engineers and scientists can build from, and readouts that leadership can decide on.
-
The judgment to know which decisions need a model and which need a defensible heuristic shipped this week, in a business that is standing up its first markets.
-
Pricing or revenue management for a capacity-constrained business — airlines, hotels, freight, logistics, or energy — where the asset, not the labor pool, is the constraint.
-
Experience taking a pricing, incentives, or fleet management system from zero to production, including the operator tooling, data model, and rollback plan.
-
Deep technical grounding from graduate study in economics, operations research, statistics, or machine learning.
-
Hands-on experience with experiments where units interfere (geo and time splits, switchbacks, holdouts) and with simulation when a live test is not feasible.
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