Engineering Manager - Data Intelligence

Applied Intuition; Sunnyvale (CA); On-site; USD 204,000 - 343,000; Full time

Benefits offered by this job

Equity options

Comprehensive health and dental insurance

401k retirement benefits with employer match

Learning and wellness stipends

Paid time off

Job summary

Applied Intuition is seeking an Engineering Manager for their Data Intelligence team in Sunnyvale, California. You'll lead engineers working on data quality, intelligent labeling workflows, and data mining systems. This role involves setting team goals in alignment with model development and deploying cutting-edge AI techniques.

Ideal candidates will have at least 3 years of engineering management experience and a passion for building top-tier teams. Compensation includes a competitive salary range of $204,000 – $343,000 annually, depending on experience.

Qualifications

• 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.

Responsibilities

• Lead a world-class group of engineers focused on data intelligence.
• Grow and manage a team to deliver high-quality data.
• Drive the integration of foundation models to enhance labeling and quality assurance.

Skills

Engineering management

Data quality systems

Machine Learning infrastructure

Team leadership

Job description

About The Role

As an Engineering Manager on the Data Intelligence 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

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.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the location listed is: $204,000 – $343,000 USD annually.

Applied Intuition is an equal‑opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.