Tech Stack
Responsibilities
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration.
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
- Work closely with the RL pipeline development team to refine and advance reinforcement learning algorithms.
- Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise.
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
- Parental Leave
Culture
TeamworkWork-Life BalancePsychological SafetyAutonomous TeamsContinuous Learning
Requirements
Required: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field
Preferred: Master’s or PhD in a relevant technical discipline
Regions: Us
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About Braze
Industry: saas
Size: enterprise
Braze is a leading customer engagement platform that helps brands deliver great customer experiences to drive value for consumers and businesses, recognized for its AI-powered decisioning and optimization capabilities.
View company profile →Compensation
Base salary: $98,000 USD
Equity: Equity grants of restricted stock (RSUs)
Bonus: Included in OTE of $109,000-$183,000/year