Senior Technical Program Manager
Job Summary:
- 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.
- San Francisco, CA
- Mountain View, CA
- Seattle, WA
- 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.
- 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 lifecycles.
- 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.
- Knowledge of GPU technology in generative AI/ML.
- Familiarity with Apache Spark, Delta Lake, MLflow.
