Monitor and manage the health and readiness of our data collection fleet vehicles, ensuring consistent and reliable data capture.
Define and apply criteria for selecting the most relevant and impactful data for the annotation process.
Coordinate and participate in the data upload workflow, ensuring data integrity, traceability, and timely availability for downstream teams.
Identify and resolve operational bottlenecks across the data collection and ingestion pipeline.
Provide daily leadership, mentorship, and professional development for ops team members.
Collaborate with engineering, annotation, and product teams to align data operations with project priorities and model training needs.
Track and report on fleet status, data throughput, and operational KPIs to ensure daily, monthly, and quarterly goals are met.
5+ years of leadership experience in a fast-paced, professional environment supervising 5 or more employees.
Strong operational mindset with experience managing physical assets, fleets, or hardware-dependent workflows.
Excellent influencing skills and a demonstrated ability to collaborate with key business partners and stakeholders.
A proactive approach to identifying coaching needs, building development plans grounded in observation and performance trends, and growing team members toward optimal results.
Strong problem-solving skills with an aptitude for quickly learning new systems and tools.
A proven track record of executing against critical, high-visibility deadlines.
Experience managing multiple competing priorities with limited resources.
Excellent presentation and communication skills, both written and verbal, with the ability to navigate ambiguity and stay self-motivated.
Familiarity with data management processes, quality metrics, and continuous improvement practices.
Experience with defect management and cross-functional collaboration in a Product or Feature development environment.
Proficiency with project and knowledge management tools such as Jira, Confluence, JAMA, or similar platforms.