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Senior Technical Program Manager (AI/ML)

Macpower Digital Assets Edge Private Limited

  • Mountain View, CA
  • 18 days ago
  • $73.10–$97.19 Per Hour

Highlights

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. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality data labeling aligned with research and product needs.

Numbers & Facts

LocationMountain View, CA
Salary$73.10–$97.19 Per Hour

Description

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.
Job Location:
  1. San Francisco, CA
  2. Mountain View, CA
  3. 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 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.
Preferred:
  • Knowledge of GPU technology in generative AI/ML.
  • Familiarity with Apache Spark, Delta Lake, MLflow.

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