Technical Program Manager: AI Enablement & Data Pipelines

Google; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off 20 days/year

Sick Time 40 hours/year

Maternity Leave 28–30 weeks

Baby Bonding Leave 18 weeks

Holidays 13 days

Job summary

Google is seeking a Technical Program Manager in Sunnyvale, CA, to lead multi-disciplinary projects, plan requirements, assess risks, and manage schedules with cross-functional teams. You will communicate analyses to executives and discuss tradeoffs with engineers, shaping knowledge transfer and competency evaluations globally.

Base pay is US$163,000–US$236,000 with a 15% bonus target, equity, and comprehensive benefits. Individual pay varies with skills, experience, and education levels.

Qualifications

• 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.

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.

Education

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.

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

Job description

Google is seeking a Technical Program Manager in Sunnyvale, CA, to lead multi-disciplinary projects, plan requirements, assess risks, and manage schedules with cross-functional teams. You will communicate analyses to executives and discuss tradeoffs with engineers, shaping knowledge transfer and competency evaluations globally.

Base pay is US$163,000–US$236,000 with a 15% bonus target, equity, and comprehensive benefits. Individual pay varies with skills, experience, and education levels.