People Intelligence Architect

People Intelligence Architect

Remote or Bay Area, CA

Block is structured as one company built from many blocks, with foundational teams including People, Finance, Counsel, Hardware, Information Security, and Platform Infrastructure Engineering providing support and guidance at the corporate level across business groups globally.

About the Role

This is a senior individual contributor position focused on building an integrated people data ecosystem. The role spans data engineering, data science, people analytics, and agentic AI — designing an end-to-end system that makes People data trustworthy, intelligent, and increasingly autonomous.

Key Responsibilities

• Design and maintain reliable data pipelines unifying people data across HRIS, ATS, performance, compensation, and engagement systems


• Model data for analytics and ML with a focus on quality, lineage, privacy, and governance of workforce data


• Build predictive models for attrition, hiring funnel health, organizational network analysis, compensation equity, and workforce planning


• Translate people questions into rigorous analyses and communicate results to leaders


• Partner on semi-annual employee engagement surveys from design through actionable insights


• Design and deploy AI agents and automations that operationalize insights without manual effort


• Establish guardrails and human-in-the-loop patterns for safe, trustworthy agentic systems


• Own system architecture connecting pipelines, models, and agents


• Set technical direction and standards through code review, design documentation, and peer mentorship


• Partner with People, Data Platform, Security, and Legal teams

Required Qualifications

• 8+ years relevant experience


• Proven experience building data pipelines (SQL, Python, dbt/Airflow or similar, cloud data warehouses)


• Solid data science foundation including statistics, ML, and experiment design


• Working knowledge of people/HR data including sensitivity and ethics


• Hands-on experience with LLMs and agentic frameworks


• Strong systems thinking and design capability


• Excellent communication with both executives and engineers

Preferred Qualifications

• Experience with people analytics platforms (Workday, Visier)


• Background in organizational network analysis or workforce planning


• Experience deploying AI in regulated or privacy-sensitive environments

Compensation

• Zone A: $135,200–$202,800 USD


• Zone B: $125,800–$188,600 USD


• Zone C: $119,000–$178,400 USD


• Zone D: $108,200–$162,200 USD

Benefits

• Remote work


• Medical insurance


• Flexible time off


• Retirement savings plans


• Modern family planning support