Braze

The Forward-Deployed Data Scientist at Braze partners with customers to implement BrazeAI solutions, focusing on ML model configuration, data integration, and refining reinforcement learning algorithms. This role extends product capabilities by developing reusable data pipelines and components, and contributes to product strategy through customer insights.

This role is for an Engagement Manager II on the AI Expert Services team, focusing on deploying Braze's AI decisioning solutions for marketers. The role involves owning the AI deployment lifecycle, facilitating technical workshops, driving customer engagements, improving deployment processes, and influencing the product roadmap. It requires a blend of technical expertise, project management, and client relationship management.

Senior Business Intelligence Engineer role focused on building and maintaining data pipelines, data models, and metrics using dbt and Snowflake to support decision-making. The role involves partnering with stakeholders, defining metrics, ensuring data quality, and mentoring other engineers.

Lead Business Analyst with deep background in DBT development and Go-To-Market Analytics. The role involves modernizing data infrastructure, developing scalable data models using dbt, and bridging the gap between raw operational data and strategic execution. Responsibilities include data architecture, refactoring legacy models, leading GTM data models, setting technical standards, project ownership, advanced analysis in Python, and BI layer execution. The role explicitly states it is NOT for dashboard builders or ML deployers/data scientists.

Senior Software Engineer for the Content Cards team, focused on transforming in-product surfaces into dynamic, personalized experiences. The role involves building systems for in-app engagement, message management, and a feature-rich dashboard. Responsibilities include developing new capabilities, improving reliability and performance, and guiding architectural decisions for a scalable platform.