Technical Program Manager III, Learning and Development, Google Cloud

By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA.

Benefits

• Health, dental, vision, life, and disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Requirements

Minimum qualifications

• Bachelor's degree or equivalent practical experience
• 5 years of experience in program or project management
• Experience with learning and development or learning systems
• Experience in technical enablement and data analytics

Preferred qualifications

• Master's degree or PhD in Learning Psychology, Cognitive Science, or Data Science with a focus on quantitative validation and evaluation architectures
• 5 years of experience managing cross-functional or cross-team projects
• Experience in psychometric validation and evaluation architectures used to guarantee the integrity and reliability of technical capability benchmarks
• Experience in applying advanced behavioral data modeling or cognitive load frameworks to software platform interactions and technical competency definitions
• Practical familiarity with cloud infrastructure environments and the integration of AI tools into technical enablement pipelines

About The Job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Responsibilities

• Lead the programmatic scoping and scaling of technical enablement telemetry and learning evaluation, data footprints, and automated capability analytics
• Architect and manage robust quantitative engineering validation data pipelines to measure knowledge transfer efficacy across the workforce
• Define data environment psychological constructs and cognitive load metrics, establishing precise system health goals with engineering leads
• Translate proficiency telemetry into concrete feature requests, system schemas, and technical specifications for enablement platform developers
• Own end-to-end instrumentation design for technical evaluations and automated data collection pipelines
• Oversee system experimentation frameworks to evaluate enablement infrastructure efficacy and knowledge transfer models
• Drive cross-functional alignments with technical leads to implement the AI Competency matrix and proficiency validation models globally
• Establish data quality gates and validation models to guarantee the integrity and reliability of technical platform metrics

Pay

US: $163,000 - $236,000 (USD) + 15% bonus target + equity + benefits