Overview Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role As a member of Block's Reliability Data Science team, you will leverage observability events and other product datasets to detect, diagnose, monitor, and measure reliability issues across our Square and Cash App tech stacks. We give engineering and product teams the tools and insights they need to ensure product reliability as we release new versions of our hardware, firmware, operating systems, and apps. You Will Develop and maintain datasets and tools that expand/automate our monitoring and alerting capabilities for reliability issues across Square and Cash tech stacks. Develop KPIs and measurement systems focused on product reliability. Partner with Engineering to leverage observability event data to triage and diagnose reliability issues. Partner with Engineering to design and develop new logging/events for reliability monitoring. Measure the impact of reliability issues on the business. You Have 8+ years of data experience Fluency with SQL and Python Experience using AI tools to accelerate development and enhance solutions Experience working with dashboarding tools Experience with ETLs and data engineering Experience designing KPIs and measurement systems Familiarity with standard machine learning concepts and statistics concepts Familiarity with cloud engineering and cloud infrastructure Experience leading cross-functional projects Experience working with technical and non-technical partners, including Engineering, Product, and Business teams Equal Opportunity Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidential as possible. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us at privacy@block.xyz with hiring practice or data usage questions. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. Compensation and Location Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into zones; the starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Zone designations and ranges may be updated. See the zone information for details: Zone A $198,000—$297,000 USD Zone B $188,100—$282,100 USD Zone C $178,200—$267,400 USD Zone D $168,300—$252,500 USD To find a location’s zone designation, refer to the provided resource. If a location is not listed, speak with a recruiter for additional information.

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