Pursue Purpose

Technical Program Manager

We seek a technical program manager to lead data annotation programs for AI research. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality data labeling aligned with research and product needs. You will work with researchers, data scientists, ML engineers, product managers, and vendors to manage the full lifecycle of large-scale data curation—from planning and execution to delivery and evaluation.

Job locations:
San Francisco, CA;
Mountain View, CA;
Seattle, WA.

Key responsibilities:

• Drive end-to-end data annotation programs, including scoping, delivery, and post-mortem analysis.
• Collaborate with AI research leaders, researchers, data scientists, ML engineers, and product managers to define data needs, metrics, and guidelines.
• Manage vendors and internal teams, handling contracts, SLAs, quality standards, and throughput.
• Design quality control pipelines, annotation tools, and feedback loops for scalable data quality.
• Partner with engineering to enhance annotation infrastructure, workflows, and data pipelines.
• Support data governance, including privacy, security, ethics, and compliance.
• Track metrics like cost, quality, speed, and volume; report progress to stakeholders.
• Coordinate internal adoption of AI products via onboarding, workflows, and change management.
• Standardize processes to measure, monitor, and improve data quality across teams and datasets.
• Engage customers and partners in workshops, pilots, and feedback for continuous improvement.

Key requirements:

• Bachelor's or Master's in computer science, data science, machine learning, information systems, or equivalent experience.
• 7+ years in technical program management, project management, or operations in data/AI/ML environments.
• Strong knowledge of ML workflows, data pipelines, and annotation life cycles.
• Experience leading large-scale data labeling or collection with third-party vendors.
• Familiarity with big data platforms and data warehousing.
• Advanced SQL skills for analytics, tracking, forecasting, visualization, reports, and dashboards.
• Proven ability to perform root cause analysis on data and processes for business insights.
• Excellent organizational, problem-solving, communication, negotiation, and analytical skills.
• Experience documenting standard operating procedures.
• Ability to influence cross-functional teams and deliver complex projects on time with high quality.
• Self-motivated; thrives independently and in teams.

Preferred:

• Knowledge of GPU technology in generative AI/ML.
• Familiarity with Apache Spark, Delta Lake, MLflow.