5 hours ago
Base Salary
$184k - $314k/yr
Responsibilities
- Drive transformative initiatives for production ML infrastructure, including queueing, orchestration, deployment, cloud identity, and infrastructure retirement.
- Build and operate multi-region model-serving fleets, customer-specific model pipelines, and CI and deployment tooling.
- Set the technical vision for model training, deployment, serving, observability, reliability, and cost efficiency.
- Lead incident response for ML systems and maintain the platform’s production-quality bar.
- Drive cross-team initiatives involving shared infrastructure, deployment tooling, and data systems.
- Improve engineering quality through design reviews, code reviews, production readiness work, and mentoring.
- Connect technical decisions to customer and business outcomes and represent the team’s technical perspective to leadership.
Requirements
- 8+ years building and operating distributed systems in production, including deployment, operations, scale, reliability, CI/CD, and infrastructure as code.
- Hands-on experience operating ML workloads in production, such as training pipelines, model serving, feature systems, or ML platform tooling.
- Experience owning technical direction, leading multi-quarter cross-team initiatives, and developing senior engineers while maintaining high personal output.
- Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and cost management.
- Strong written and verbal communication skills with the ability to build consensus and drive decisions.
- Preferred experience with Celery, RabbitMQ, Kafka, Ray, MLflow, model registries, feature stores, or ML observability.
- Preferred experience with Python, Ruby on Rails, MongoDB, Redis, SOX or HIPAA compliance, and customer engagement, personalization, or marketing technology.
Benefits
- Hybrid work model with a curated in-office employee experience.
- Competitive compensation that may include equity, retirement and employee stock purchase plans, flexible paid time off, and comprehensive medical, dental, vision, life, and disability benefits.
- Family services including fertility benefits and equal paid parental leave.
- Professional development through career pathing, learning platforms, and a yearly learning stipend.
- Community engagement opportunities including Volunteer Week and donation matching, plus Employee Resource Groups.
- The role is based within Braze’s global office network, with benefits varying by location.
Tech Stack
Categories
About Braze
Braze builds a customer engagement platform used by marketing teams to orchestrate cross-channel messaging across mobile, email, web, and more. The company sells its software via SaaS subscriptions with analytics, segmentation, and journey orchestration. Founded in 2011 and headquartered in New York, Braze is a public company (NASDAQ: BRZE) with global offices.