Senior Technical Program Manager (AI/ML)

Job Title- Senior Technical Program Manager (AI/ML)

Location- Mountain View, CA, United States, 94041

Reporting Type- Onsite

Duration: 11 Months

W2 candidates only for this role

Summary

The Client's R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge AI research initiatives. This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned with the needs of our research and product teams.


You will collaborate closely with researchers, data scientists, ML engineers, and vendor operations to drive the end-to-end lifecycle of large-scale data labeling and curation efforts - from strategy and planning to execution, delivery, and quality evaluation.

Requirements

• Bachelor's or Master's degree in a technical field (e.g. Computer Science, Data Science, Machine Learning, Information Systems) or equivalent practical experience.
• 7+ years of experience in technical program management, project management, or operations in data-centric or AI/ML environments.
• Strong understanding of ML development workflows, data pipelines, and annotation lifecycle.
• Experience managing large-scale data labeling or data collection efforts, including working with third-party vendors.
• Familiarity with big data platforms (e.g. Apache Spark, Databricks, Hadoop) and data warehousing concepts.
• Excellent organizational, problem-solving, and communication skills with the ability to influence cross-functional stakeholders.
• Proven track record of driving cross-functional teams to deliver complex technical projects on time and with high quality.
• Excellent communication, negotiation and analytical skills, with the ability to document standard operating procedures and processes
• Advanced working SQL Knowledge, Ability to build and maintain analytics to track, forecast, and visualize consumption through ad-hoc SQL, reports, and dashboards
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Self-motivated and able to work independently, as well as in a team environment.
• Preferred good working knowledge of GPU technology and its applications in generative AI and machine learning.
• Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus.