Senior/Staff Technical Program Manager - Automation & Scaling

In this role, you will: Leverage simulation at scale: Partner with Simulation, Autonomy, and Mission Assurance teams to make simulation the primary engine for validation, expanding coverage and reducing reliance on on-road testing. Drive automation: Identify manual, repetitive steps across development, validation, and release, and lead the design and deployment of automation that removes them, prioritizing the work that most reduces cycle time. Enable faster triage: Deploy AI-assisted systems that parse logs, classify failures, and route issues, significantly reducing the time from test results to actionable fixes. Build scalable infrastructure: Scale cloud-based (AWS) simulation, metrics, data processing, and release evaluation pipelines so they grow with volume and support a faster, more frequent release cadence. Operationalize what already exists: Work alongside Zoox's technical experts and research teams, apply a programmatic lens, and turn prototypes into production systems that teams depend on. Drive and measure impact: Instrument the process end to end, find the bottlenecks, and report progress against cycle-time goals in clear, data-backed narratives for executive leadership Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience. 8+ years of experience in software engineering, technical program management, or a combination, with a strong software background. A track record of designing and deploying automation that measurably reduced cycle time, such as CI/CD, test, data, or triage pipelines. Hands-on familiarity with AWS and large-scale distributed compute and data systems, including simulation workloads. Experience building or applying AI/ML-based tools to analyze logs, detect failures, or automate engineering workflows. Proven ability to take research or prototype work into production, and to influence technical experts without formal authority. Excellent written and verbal communication, including turning technical bottlenecks into clear decisions for leadership. Bonus Qualifications: Deep experience leveraging simulation platforms, virtual validation strategies, or synthetic data in autonomous vehicles or robotics. Experience moving a large engineering organization from infrequent releases to a release train or continuous delivery model. Experience with release qualification, verification and validation, or safety-critical software. Hands-on coding experience in Python or similar, building internal tools and automation. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.