# Engineering Manager - Data Intelligence

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Engineering Management
**Salary:** $204k – $343k/yr
**Skills:** Foundation Models, LLMs, Vlms, Multimodal Models, Data Quality Systems, Labeling Pipelines, Annotation Platforms, ML Infrastructure, Data Mining, Active Learning, Auto-Labeling, Human-In-The-Loop Ml, 3D Perception, Lidar, Radar
**Posted:** 2026-04-21

> Leads engineering team building data quality systems, intelligent labeling workflows, and data mining infrastructure using foundation models to accelerate autonomy development. Requires 3+ years engineering management and experience with data-centric AI.

## Job Description

## 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

## 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

## 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
- Base salary range: $204,000 - $343,000 USD annually
- Equity, comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off

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