Technical program manager, Technical Enablement and Learning Systems

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

• Bachelor's degree in Learning Systems and Evaluation, Data Science, Cognitive Science (with a focus on quantitative performance modeling), Computer Science, or equivalent practical experience.
• 5 years of experience in technical enablement program management, learning systems engineering, or technical validation.
• Experience managing end-to-end data pipelines for competency frameworks, technical telemetry systems, or analytics.
• Experience applying structured testing methods or data-driven evaluations to technical training pipelines or software platforms to verify learning efficacy.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Learning psychology, Cognitive science, or Data science with a focus on quantitative validation and evaluation architectures.
• 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 Role

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 tradeoffs in product development with engineers.

Pay

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

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.