Senior Program Manager (Validation Operations)

Join Nuro, a leading autonomous delivery service, as a Senior Program Manager in Validation Operations. In this high-ownership role, you will partner with various engineering teams to deliver high-quality data that powers critical validation and expansion efforts. You will lead day-to-day operations, set quality standards, diagnose and fix issues, manage global operations, drive improvement, build the team, and align teams around action. This position offers a competitive salary, stock options, and various benefits.

• Assumer la responsabilité des systèmes qui rendent les opérations de validation précises, évolutives et prêtes pour la prochaine étape de croissance de Nuro.
• Collaborer avec les équipes d'ingénierie pour fournir des données de haute qualité qui alimentent les efforts de validation et d'expansion critiques.
• Diriger les opérations quotidiennes qui garantissent que les données de validation circulent, sont précises et respectent les délais.

• Experience managing large-scale offshore or globally distributed annotation teams
• A track record of identifying and closing data quality gaps, with measurable impact on accuracy or model performance
• Ability to work both strategically and hands-on, from designing a quality framework to personally tracing a labeling fault through a database
• 5+ years of program management experience embedded with software validation and/or AI/ML operations
• High agency and a history of building processes where none exist
• Deep familiarity with data pipelines and labeling ecosystems, including annotation workflows, quality sampling, taxonomy design, and inter-annotator agreement
• Quality-obsessed approach to program management: energized by finding what is broken, not just by shipping on time
• Clear written and verbal communication, with the ability to influence and make complex information accessible to technical and non-technical audiences
• Proficiency querying data with SQL and BigQuery, and using KPIs to drive prioritization, capacity management, and continuous improvement
• Bachelor's degree in a technical or business discipline, or equivalent practical experience
• Background in autonomous vehicles, software validation, robotics or data engineering