Engineering Manager - Autonomy Data

About the role

As an Engineering Manager on the Autonomy Data team, you'll lead a world-class group of engineers focused on revolutionizing how we produce, curate, and leverage high-quality data to accelerate autonomy development. Your team will work across three key areas: Data Quality, where we build systems to measure, validate, and improve the integrity of our datasets; Labeling Workflows, where we design intelligent annotation pipelines that combine human expertise with AI-powered automation; and Data Mining, where we surface rare, high-value driving scenarios from massive multi-modal fleet data. You'll drive the adoption of foundation models and cutting-edge AI techniques to scale these capabilities, setting technical direction and team goals that align with our model development, safety, and deployment milestones.

At Applied Intuition, you will:

• 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

We’re looking for someone who has:

• 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

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent

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 at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.