Engineering Manager - Data Intelligence

Responsibilities

• Grow and manage a world-class team of engineers focused on data quality, labeling workflows, and data mining.
• Prioritize development of intelligent annotation pipelines that combine human expertise with AI-powered automation.
• Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate labeling and data discovery.
• Evolve data engine architecture to scale high-fidelity labels and accelerate ML iteration cycles.
• Set team goals and roadmaps in alignment with autonomy training, evaluation, and deployment requirements.
• Partner with research, autonomy, and data infrastructure teams to ensure high-quality, diverse data powers core models.

Requirements

• 3+ years of engineering management experience.
• 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 using foundation models (LLMs/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 including camera, lidar, and radar.

Benefits

• Competitive compensation including base salary and equity.
• Comprehensive health, dental, vision, life, and disability insurance.
• 401k retirement benefits with employer match.
• Learning and wellness stipends.
• Paid time off.

About the Company

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