Technical Program Manager III

Job Title: Technical Program Manager III

Job Location: Bellevue, WA/Seattle, WA/San Francisco, CA/ Mountain View, CA

Contract Duration: 12 months

W2 candidates only preferred

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.

Requirement:

• 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.
• 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.
• 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.