Architecting AI-Driven People Data Systems

Block; San Francisco (CA); On-site; USD 190,000 - 270,000; Full time

Job summary

Block in San Francisco is building a unified people data ecosystem that spans HRIS, ATS, performance, and engagement systems. You’ll own end-to-end pipelines, models, and agentic AI that turn data into actionable insight for leaders.

This is a senior individual contributor role: design architecture, write production code, and set technical standards while mentoring peers. You’ll work across data engineering, data science, and people analytics to keep systems trustworthy and compliant.

Qualifications

• 8+ years of relevant experience.
• Proven ability to design end-to-end data systems.
• Strong background in data engineering and analytics for HR/People data.
• Hands-on experience with LLMs and agentic frameworks.
• Excellent communication with both executives and engineers.

Responsibilities

• Design, build, and maintain data pipelines unifying HRIS, ATS, performance, and compensation data.
• Model data for analytics and ML with focus on quality, lineage, privacy, governance.
• Develop predictive and diagnostic models (attrition, hiring funnel health, org network).
• Translate questions into rigorous analyses for leaders.
• Collaborate on our employee engagement survey analytics and turn results into actionable insights.
• Design and deploy AI agents and automations that turn insights into workflows.
• Establish guardrails and human-in-the-loop patterns for safe agentic systems on sensitive data.
• Own the architecture tying pipelines, models, and agents into one system.
• Set technical direction and standards for People data and AI; mentor peers.
• Partner with People, Data Platform, Security, and Legal to ensure compliance and scalability.

Skills

SQL

Python

dbt/Airflow

Cloud data warehouses

Tools

SQL

Python

dbt

Airflow

Job description

Block in San Francisco is building a unified people data ecosystem that spans HRIS, ATS, performance, and engagement systems. You’ll own end-to-end pipelines, models, and agentic AI that turn data into actionable insight for leaders.

This is a senior individual contributor role: design architecture, write production code, and set technical standards while mentoring peers. You’ll work across data engineering, data science, and people analytics to keep systems trustworthy and compliant.