Global Technical Enablement & Data Pipeline Lead

Socket.dev; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead complex, multidisciplinary programs from requirements through delivery, coordinating with stakeholders across engineering, product, and operations.

You will scope, scale, and instrument technical enablement telemetry and learning evaluation, build robust data pipelines, and translate proficiency metrics into actionable feature requests and system specifications for enablement platforms.

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. 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.

Skills

Technical program management

Learning systems engineering

Data pipelines

Data-driven evaluation

Structured testing methods

Cross-functional collaboration

Telemetry systems

Cloud platforms

AI tooling integration

Education

Bachelor's degree in Learning Systems and Evaluation

Bachelor's degree in Data Science

Bachelor's degree in Cognitive Science

Bachelor's degree in Computer Science

Equivalent practical experience

Tools

Cloud platforms

AI tooling integration

Job description

Google is seeking a Technical Program Manager to lead complex, multidisciplinary programs from requirements through delivery, coordinating with stakeholders across engineering, product, and operations.

You will scope, scale, and instrument technical enablement telemetry and learning evaluation, build robust data pipelines, and translate proficiency metrics into actionable feature requests and system specifications for enablement platforms.