Engineering Manager - Data Intelligence

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed for autonomy in various industries. The Engineering Manager on the Data Intelligence team will lead engineers to produce and curate high-quality data, focusing on data quality, labeling workflows, and data mining to enhance autonomy development.

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