Braze

www.braze.com

2 Jobs

1,915 Employees

About the Company

Braze ($BRZE) is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. The company has been recognized as a 2024 U.S. News Best Technology Companies to Work For, is a 2023 UK Best Workplace for Women by Great Place to Work, and was named a Leader by Gartner® in the 2023 Magic Quadrant™ for Multichannel Marketing Hubs and in The Forrester Wave™: Cross-Channel Marketing Hubs, Q1 2023. Braze is headquartered in New York with 10+ offices across North America, Europe, and APAC. Learn more at braze.com.

Listed Jobs

Company Name: Braze
Job Title: Senior Software Engineer I
Job Description: **Job Title:** Senior Software Engineer I **Role Summary:** Senior full‑stack engineer joining the Content Cards team to design, build, and scale systems that deliver real‑time, personalized in‑app messaging experiences. Drives architectural decisions, enhances reliability and performance, and leads complex projects from concept through delivery. **Expectations:** - 5+ years of full‑stack development experience. - Demonstrated technical leadership on ambiguous, large‑scale projects. - Strong grasp of system design, data structures, and algorithms. - Self‑starter with excellent communication and organizational skills; effective collaborator in team environments. **Key Responsibilities:** - Design and implement backend services (e.g., Ruby, Sidekiq) and frontend components (TypeScript/JavaScript, React) for content card delivery, targeting, and analytics. - Improve system reliability, scalability, and performance across the in‑product messaging platform. - Define and influence key architectural choices to support future innovation. - Lead the development of new capabilities and feature enhancements for dynamic user experiences. - Mentor junior engineers and promote best practices in code quality and design. - Participate in agile development cycles, sprint planning, and cross‑functional collaboration. **Required Skills:** - Full‑stack development (backend and frontend). - System design, data structures, algorithms. - Technical leadership and project delivery. - Strong verbal and written communication; teamwork orientation. - Preferred: experience with high‑scale, customer‑facing platforms; Ruby, Sidekiq, TypeScript/JavaScript, React; agile development methodologies. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). - Relevant certifications are optional but not required.

Company Name: Braze
Job Title: Senior Forward Deployed Data Scientist, AI Deployment
Job Description: **Job Title** Senior Forward Deployed Data Scientist – AI Deployment **Role Summary** Provide end‑to‑end AI and data science solutions for enterprise customers, collaborating closely with their analytics and engineering teams to design, deploy, and scale machine‑learning models and data pipelines. Engage in product strategy, ensure continuous model improvement, and drive measurable business outcomes. **Expectations** - Deliver high‑quality, production‑ready ML solutions that meet client success metrics. - Maintain clear communication with stakeholders, translating technical results into business insights. - Demonstrate independent ownership, accountability, and proactive problem‑solving. **Key Responsibilities** - Partner with customer BI/analytics teams to define use cases, integrate data, and configure ML models. - Build reusable data pipelines, APIs, and components to extend platform capabilities. - Collaborate with reinforcement‑learning pipeline team to advance self‑learning algorithms. - Influence product roadmap through customer feedback and technical expertise. - Provide ongoing support for adoption, performance monitoring, and outcome measurement. **Required Skills** - Proficient Python (Pandas, NumPy) with core ML libraries (TensorFlow, Keras, scikit‑learn, CatBoost, XGBoost). - Advanced SQL for large‑scale data querying and manipulation. - Experience designing end‑to‑end ML pipelines and model deployment (backend, CI/CD, code reviews, type‑hinting, testing). - Strong communication skills for translating technical concepts to non‑technical audiences. - Ability to troubleshoot and iterate solutions in fast‑moving, customer‑focused environments. **Nice‑to‑Have Skills** - DevOps tools: Airflow, Kubernetes, Terraform, GCP. - Data integration/ETL and pipeline optimization. - Reinforcement‑learning algorithm implementation. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field (minimum). - Master’s or PhD preferred. - No specific certifications required.