The Senior Operations Manager will oversee daily operations of the autonomous vehicle fleet, manage teams, develop operational strategies, and ensure service delivery and safety in new markets.
Zoox is developing the first ground-up, fully autonomous robotaxi fleet and the supporting ecosystem required to bring this revolutionary technology to market. At the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. As a Manager, City Operations, you will be pivotal in bringing our autonomous vehicle service to life in our new markets. This position focuses on managing the day-to-day operations of our L3 test vehicles and robotaxi fleet, ensuring exceptional mission success and service delivery while maintaining the highest safety standards.
In this role, you will:
- Lead, develop, and manage teams of Zoox and contingent workforce personnel responsible for Zoox’s test fleet and robotaxi service fleet.
- Develop and implement operational strategies to optimize fleet performance by mastering operational workflows and performance metrics to eliminate waste and create value
- Oversee daily fleet operations, including vehicle deployments, maintenance tracking, and service coverage.
- Drive operational excellence by being customer-focused and partnering with product and key stakeholders to create the ultimate rider experience for our customers and business partners
- Collaborate with cross-functional teams to ensure smooth integration of technology updates and service enhancements.
- Build and maintain strong relationships with local stakeholders and regulatory bodies.
- Establish and monitor KPIs for service reliability, safety, and customer satisfaction.
- Plan, evaluate, and improve site operations in terms of quality, safety, and efficiency.
- Deliver effective change leadership while regularly communicating performance trends and improvements to the organization
Qualifications
- Bachelors Degree
- 8+ years leading the business side of relevant large-scale operations
- 3+ years of managing large teams of FTEs and contingent labor
- Management of continuous safety standards and improvement initiatives
- Experience in change management processes & managing large amounts of data
- Ability to work on-site at your market’s facilities
- Ability to travel when necessary
Bonus Qualifications
- Master's degree in a relevant discipline (Business Administration, Engineering, Computer Science, Program Management, etc.)
- 5+ years working in an NPI environment and cross-functionally with PMO or engineering organizations
- Working with cross-functional teams on go-to-market initiatives
- Experience in the autonomous vehicle, transportation dispatch, and emergency response industries
- PMP certification, or equivalent.
Similar Jobs
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Handle inbound and outbound mortgage collections calls, review account status, collect payments, evaluate customer finances, negotiate repayment solutions, and document account actions. Ensure compliance with customer information security, debt collection, and mortgage regulations while meeting quality, productivity, and operational targets. The role includes extensive training and operates on a hybrid schedule with three days onsite and two days remote in Irving, Texas.
Top Skills:
Ai SimulationsDigital Phone SystemsExcelMicrosoft WordMsp/Black Knight
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Leads a specialized casualty claims team managing severe-exposure portfolios, complex litigation, coverage issues, reserves, settlements, vendors, and claim-handling protocols. Partners with legal, underwriting, actuarial, reinsurance, and other stakeholders to develop strategies, monitor litigation trends, address legal system abuse, manage financial outcomes, and improve operational performance. Coaches claims leaders, oversees staffing and portfolio capacity, and presents strategic recommendations to executives and business partners.
Top Skills:
Guidewire Claims System
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Own model observability for Auto Physical Damage data science products, including traditional ML and GenAI/LLM systems. Build monitoring pipelines, dashboards, metrics, thresholds, alerts, and remediation documentation. Detect drift, performance degradation, anomalies, and data-quality issues; support MLOps, LLMOps, governance, compliance, and audit reporting. Analyze business outcomes, identify improvement opportunities, and communicate model health findings to technical and non-technical stakeholders.
Top Skills:
AWSAzureEmblemExcelGCPLlmopsMlopsPowerPointPythonSASSQLStreamlitTableauVBA
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
