Own the fleet validation operational strategy: Lead the end-to-end strategy and execution of mileage accumulation for both the physical test fleet and simulation assets, to enable Zoox’s geofence expansion across all cities. Partner closely with upstream teams (e.g. Autonomy, Systems Design & Mission Assurance, Places & Build) and downstream teams (e.g. Data Science, Fleet Operations) to ensure critical inputs are available, and results are delivered; you will ultimately "own the outcome" of test fleet data collection. This is a high leverage, high impact role.
Usher in a simulation-first methodology: Act as the cross-functional catalyst for scaling simulated mileage accumulation. Drive alignment between Autonomy, System Design & Mission Assurance, and Simulation teams to ensure clear requirements are set, and simulation platforms are resourced to meet exponentially growing data needs.
Identify and resolve critical bottlenecks: Develop rigorous tracking mechanisms that model the impact of upstream dependencies (e.g., map content deliverables and safety requirements). You’ll think critically and work cross-functionally to squash inefficiencies in upstream and downstream pipelines and systems. Partner collaboratively with program leads and executive leadership across orgs to reshape deliverables, timelines, and program scope where necessary to ensure overall program success.
Relentlessly investigate and creatively resolve blockers: Treat flatlining progress metrics as immediate triggers for action. Dig deep into root causes, negotiate thoughtfully with stakeholders on complex requests, and design out-of-the-box technical workarounds when ideal solutions are unavailable. Always present concrete mitigation plans, rather than accepting the status quo.
Leads regional and global Orange Movement programs, partnerships, training, and capital mobilization, coordinating teams and stakeholders to advance gender equality and climate finance initiatives.
Own cross-functional program execution for platform software across hardware platforms, aligning embedded, onboard, infrastructure, and hardware teams to manage dependencies, surface risks, and deliver releases and bring-up milestones.
Leads post-sale programs for major enterprise life sciences customers, coordinating implementation, support, and customer success to accelerate value, adoption, and account growth.
Own the AI model release lifecycle, coordinating engineering and product teams to set release gates, manage risks and dependencies, and improve reliable deployment across vehicle systems.
Lead executive operations and strategic planning by coordinating leadership forums, producing executive-ready reporting, and driving cross-functional programs that improve operational efficiency and organizational effectiveness.
