What the Candidate Will Need / Bonus Points
What the Candidate Will Do
- Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows.
- Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops.
- Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements.
- Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery.
- Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment.
- Use data to drive decisions — analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy.
- Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution.

Basic Qualifications
- 7+ years of experience in program management, data operations,



or ML lifecycle management, preferably in a high-growth tech or AI-driven company.
- Proven success in managing large-scale, high-precision data programs for AI/ML systems.
- Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes.
- Experience working cross-functionally with engineering, product, and data science teams.
- Excellent communication and stakeholder management skills, including experience influencing at senior levels.
- Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring.
- Robust analytical mindset with the ability to turn raw data into actionable insights.

Preferred Qualifications
- Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm.
- Background in AI/ML operations, autonomous system

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