Engineering Manager - Data Intelligence

Responsibilities

• Grow and manage a team of world-class engineers with the goal of delivering high-quality, well-labeled data and identifying critical edge cases for autonomy
• Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
• Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
• Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
• Set team goals and roadmap in alignment with training, evaluation, and deployment requirements
• Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data is powering our models
• Drive hiring, mentoring, and growth for a high-performing, mission-driven team

Requirements

• 3+ years of engineering management experience
• Passion for building and leading high-performing teams
• Experience building data quality systems, labeling pipelines, or annotation platforms at scale
• Familiarity with modern ML infrastructure and data-centric AI approaches
• Understanding of how foundation models can be applied to automate data workflows
• Solid track record of building and deploying products

Nice to Have

• Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
• Background in autonomous driving or robotics perception
• Experience with active learning, auto-labeling, or human-in-the-loop ML systems
• Familiarity with 3D perception data (camera, lidar, radar)

Compensation

• Base salary range: $204,000 - $343,000 USD annually
• Equity, comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off