Zoox

Zoox

Senior Commercial Product Manager

Foster City, CA · Senior

Sponsorship not specified$165k-$221kDetected 1 day ago
Machine LearningData ScienceStatisticsProduct ManagementPRDsForecastingBudgetingLogisticsCadenceResearchLeadership

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 77 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 84%

Of 25 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 447 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

86 transfer filings in the last year, covering 94 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Dynamic pricing - the real-time engine that balances a fixed fleet against live demand, weighing growth against profit market by market.
  • Promotions and incentives - from promo mechanics and budget planning through targeted, personalized incentives as the rider base grows.
  • It is ideal for a marketplace product manager who has owned a pricing, incentives, matching, or supply lever and wants to shape how an autonomous mobility business makes money.

Responsibilities

  • 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.
  • 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.
  • Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk.
  • 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.
  • Because we own and operate our vehicles, supply is fixed in the short run, and these levers are how we trade growth against profit week to week.
  • Planned pricing - the rate card and its shaping by time of day and geography, per-zone fees, and the controls operators use to manage a market before any model intervenes.
  • Fleet supply - how many vehicles are in service each hour and where they stage and charge, so fleet and pricing decisions optimize against the same objectives.
  • you will write the PRDs that define what each system optimizes for, specify the models that make those decisions, and prove they worked.
  • You will sit in the Commercial organization and partner closely with Data Science, Fleet Operations, Finance, and the product and engineering teams that build these systems.

Requirements

  • 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.
  • 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.
  • 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.

Nice to have

  • 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.
  • Hands-on experience with experiments where units interfere (geo and time splits, switchbacks, holdouts) and with simulation when a live test is not feasible.

Skills

  • Deep technical grounding from graduate study in economics, operations research, statistics, or machine learning.
  • Bonus Qualifications

Compensation

  • $165k-$221k

This listing is sourced directly from Zoox's careers page and normalized into a canonical job model.