Senior Technical Program Manager I, AI Data

$168,000 - $252,000/Yr

Google - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

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About the position

As a Technical Program Manager at Google, you will leverage your technical expertise to lead complex, multi-disciplinary projects from inception to completion. This role involves collaborating with stakeholders to plan requirements, identify risks, manage project schedules, and communicate effectively with cross-functional partners. You will play a crucial role in the Machine Learning Data Infrastructure teams, focusing on data life-cycle excellence for ML and accelerating the development of extensive Machine Learning models.

Responsibilities

• Implement communications standards across a portfolio of programs including executive and key partner communications.
• Establish a reliable and visible cadence for program reviews, decision-making, prioritization, and resource stewardship.
• Lead a governance structure that drives effective executive decision-making.
• Ensure governance structure effectively exposes and mitigates dependencies.
• Identify change management opportunities that increase program velocity and affect multiple teams.
• Define/manage a program portfolio solving problems that aim for high business impact for the organization and product area.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience in Machine Learning or Artificial Intelligence.
• Experience with data analysis or data analytics.

Nice-to-haves

• 8 years of experience managing cross-functional or cross-team projects.
• Experience with quantitative analysis and cost-effectiveness assessment techniques and data quality metrics for AI products.
• Experience in project and workstream management and developing customer relationships.
• Experience in systems integration, data transfer/management, or enterprise database performance.
• Understanding of AI/ML related infrastructure technologies (e.g., GPUs, TPUs, LLMs, foundational models) and use cases (e.g., training, inference, tuning etc).
• Excellent verbal and written communication skills, with the ability to communicate clearly and effectively with multiple and diverse stakeholders across businesses, leadership, and teams.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan with matching contributions
• Paid time off
• Parental leave
• Employee stock purchase plan
• Tuition reimbursement
• Professional development opportunities