Top Tech Jobs & Startup Jobs

Lead Braze’s Applied AI Architects across GTM and corporate functions. Build and develop a senior technical team, manage the engagement portfolio, prioritize and measure AI initiatives, maintain hands-on involvement in agent design and delivery, and partner with product, technology, and executive leaders to scale successful solutions. Define the operating model and career framework for this emerging role category while driving measurable business outcomes such as sales ramp time, quota capacity, and competitive win rate.

Own the ML platform powering production training pipelines, model serving, deployment, orchestration, observability, and multi-region scaling. Drive major infrastructure initiatives, improve reliability and cost efficiency, lead incident response, collaborate across teams, and set the technical vision for ML operations. The role is hands-on, requiring production distributed-systems expertise, Kubernetes and cloud infrastructure knowledge, technical leadership, mentoring, and strong communication.

Own and evolve Braze’s ML platform for globally scaled training pipelines, model serving, deployment, orchestration, and observability. Lead complex infrastructure initiatives, improve reliability and cost efficiency, manage incident response, and establish production quality standards. Partner across teams, shape technical strategy, mentor senior engineers and data scientists, and connect platform decisions to customer and business outcomes.

Own and evolve Braze’s ML platform for production-scale training, deployment, serving, observability, reliability, and cost efficiency. Lead complex infrastructure initiatives, including multi-region model serving, customer-specific model pipelines, CI/CD tooling, orchestration, and cloud identity. Set technical direction, manage incidents, collaborate across teams, improve engineering quality, mentor senior engineers and data scientists, and connect platform decisions to business outcomes.

Lead the roadmap, adoption, commercial outcomes, and technical evolution of Braze’s Content Cards and Banners products. Partner with engineering, design, SDK, and go-to-market teams to improve authoring, AI-assisted creation, APIs, integrations, performance, reliability, and observability. Use customer feedback and usage data to prioritize investments, establish performance baselines, and drive enterprise adoption and expansion at massive scale.

Lead the roadmap and commercial outcomes for Braze’s Content Cards and Banners products. Drive customer adoption, faster content creation, AI-assisted authoring, API programmability, reliability, performance, and observability at massive scale. Partner with engineering, design, SDK, sales, support, and enterprise customers while defining product strategy, measurement baselines, technical priorities, and investment tradeoffs. This senior individual contributor role requires strong technical judgment, customer focus, commercial fluency, and cross-functional influence.

Lead the roadmap and commercial outcomes for Braze’s Content Cards and Banners products. Drive customer adoption, faster content creation, AI-assisted authoring, API capabilities, integrations, performance, reliability, and observability at massive scale. Partner with engineering, design, SDK, sales, support, and enterprise customers while defining product strategy, measuring usage, and making technical and investment tradeoffs.

Own and evolve Braze’s ML platform for training, deploying, serving, and monitoring models at global scale. Lead complex infrastructure initiatives, multi-region model serving, CI/CD, orchestration, reliability, cost optimization, and incident response. Set technical direction, improve production quality, collaborate across teams, mentor senior engineers and data scientists, and connect platform decisions to business outcomes.

Lead the roadmap and commercial growth of Braze’s Content Cards and Banners products. Drive customer adoption, faster content creation, AI-powered authoring, API capabilities, enterprise access controls, reliability, performance, and observability. Partner with engineering, design, SDK, sales, support, and enterprise customers while defining product metrics, managing technical tradeoffs, and delivering scalable, programmable in-product messaging experiences.

Build and scale full-stack applications for Braze’s Cloud Data Ingestion and Data Transformation platforms. Own features end-to-end, with emphasis on backend development, scalable web applications, architecture, technical strategy, and high-volume data processing. Collaborate in an agile environment and deliver front-end experiences as needed. The role may involve automated data pipelines, asynchronous processing, ETL, microservices, distributed systems, and technologies such as Python, Django, React, Ruby on Rails, Snowflake, Kafka, Airflow, Sidekiq, SQS, and RabbitMQ.