Braze jobs

Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team, which focuses on creating ML and AI-enhanced marketing solutions for personalized customer experiences. These solutions are deployed as production systems at a global scale, involving distributed pipelines for model training and high-throughput APIs for predictions. The Staff Engineer will be responsible for the underlying platform, ensuring that deploying, operating, and scaling ML at Braze is fast, safe, and efficient. This is a hands-on role where you will own complex infrastructure initiatives from design to production, including multi-region model serving, customer-specific model pipelines, and CI/deployment tooling. You will also define the platform's technical vision, set standards for model training, deployment, serving, and observation, lead incident response, and drive reliability and cost efficiency. Collaboration with partner teams on shared infrastructure and data systems is also a key aspect of this role, as is raising the team's engineering quality through reviews and mentoring.

$184k - $314k

Braze is seeking a Senior Lead Systems Engineer passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you will architect scalable solutions that connect the systems powering Braze, while redefining how employees interact with IT through conversational experiences, automation, and self-service. You will lead complex technical initiatives from concept through delivery, building integrations across platforms like Slack, Okta, Workday, Atlassian, GitHub, and Google Workspace. This role goes beyond traditional systems engineering, focusing on solving business problems through software, APIs, automation, and AI, and shaping the long-term strategy around enterprise integrations and intelligent workflows.

Salary not listed

Braze is seeking a Forward-Deployed Data Scientist to join our growing team and partner with customers to ensure their success with BrazeAI. In this role, you will collaborate with customer teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration. You will also extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components, while working closely with the RL pipeline development team to refine our reinforcement learning algorithms. This position offers the opportunity to contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise, and to provide ongoing technical expertise to ensure successful adoption and long-term customer success.

Salary not listed