Engineering Manager - Data Intelligence

Responsibilities

• Grow and manage a team of engineers focused on 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 data engine architecture to scale high-fidelity labels and reduce annotation costs
• Set team goals and roadmap in alignment with training, evaluation, and deployment requirements
• Partner with research, autonomy, and data infrastructure teams
• Drive hiring, mentoring, and growth for a high-performing 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

Preferred Qualifications

• Direct experience with foundation models (LLMs, VLMs) for data automation
• 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)

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing automotive, defense, trucking, construction, mining, and agriculture industries.