Technical program manager, Technical Enablement and Learning Systems

Google; United States; On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off – 20 days/year

Sick time – 40 hours/year (69 Seattle)

Maternity leave – 28-30 weeks

Baby bonding leave – 18 weeks

13 paid holidays per year

Job summary

Google is seeking a Technical Program Manager for Technical Enablement and Learning Systems in the US. You will lead multi-disciplinary projects, plan requirements with stakeholders, identify risks, and manage schedules while communicating with executives and engineers.

Individual pay is determined by factors including job-related skills and experience. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits.

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.
• Oversee end-to-end instrumentation design for evaluations and automated data collection pipelines; manage experiments frameworks.

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.

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

Job description

Technical program manager, Technical Enablement and Learning Systems

Google

Sunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, 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

Note: 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.

Minimum 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.

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 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 tradeoffs in product development with engineers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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