Staff Software Engineer (Intelligence Platform)

• As a Staff Software Engineer, you’ll be the technical lead for the Intelligence Platform. You’ll establish its architecture on Toast’s data lake and make key design decisions across data processing, privacy, publishing and serving. You’ll work closely with Data Platform, Marketing, Product, Legal and Data Science, do deep hands-on work, and grow the engineers on your team
• You’ll take the platform from its first version—a regular publication of aggregated benchmark data—to fresher data, self-serve access for Marketing, and eventually real-time access for AI agents. Success means new data products ship on the platform quickly and safely
• Own the technical vision and end-to-end architecture of the Intelligence Platform, from early design through production rollout
• Work hands-on with Kotlin/Java, Spark and Iceberg on Toast’s data lake, writing the code that sets the pattern for others
• Move fast from idea to proof of concept: ship early versions, get feedback from Marketing and other partners, and iterate
• Build privacy and compliance into the platform from the start: work with Legal, Investor Relations, Privacy and Data Science to define data-access rules and minimum group sizes, and enforce them in code so every published number is aggregated, anonymized and auditable
• Create reusable building blocks so every data product on the platform meets the same bar for quality and safety
• Design the flows that let tools and AI agents access the data efficiently, safely and at scale
• Partner with Marketing, Product, Legal, Investor Relations and Data Science to turn business goals into a technical roadmap
• Set the bar for reliability and quality, and mentor other engineers through design reviews, code reviews and the example you set
• Use AI tooling as a genuine force multiplier in your day-to-day work and help the team do the same

Benefits

• Peer and company recognition programs
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Mental Health Benefits
• Subsidized backup childcare

• 5+ years in software engineering, building data-intensive or distributed systems, including technical leadership of projects involving multiple teams
• Experience building data products or platforms that other teams depend on
• Demonstrated ability to understand complex data domains at scale, and to turn them into reliable data products
• Experience with cloud-native data platforms on AWS
• Ability to explain technical trade-offs clearly to non-engineering partners
• Strong SQL and data modeling skills on large datasets
• Proficiency in Java, Kotlin or another object-oriented language
• Experience handling sensitive data responsibly, such as aggregation, anonymization or access controls
• Experience with Apache Spark, Apache Iceberg, Snowflake or Databricks is a bonus