Top Tech Jobs & Startup Jobs

The Senior AI Success Manager at Braze will drive customer success, manage executive relationships, and analyze business impacts of AI use cases through collaboration with teams and data-driven insights.

The role involves collaborating with customers on data integration, improving product architecture, developing ML pipelines, and ensuring successful customer outcomes.

As a Senior Cloud Security Engineer, you will enhance cloud security, collaborate with teams on secure architecture, and manage security tools. You'll lead vulnerability management, perform threat modeling, and secure CI/CD pipelines using automation.

The role involves winning and growing business for Braze AI, collaborating with sales teams, engaging customer relationships, and leading AI discussions. It requires experience in enterprise sales, consulting, marketing technology, or AI, with a focus on executing plans and building customer-centric solutions.

As a Forward-Deployed Data Scientist II, you will collaborate with customers to define use cases, improve data pipelines, and advance ML models while providing technical expertise for successful customer outcomes.

As a Financial Analyst II, you will manage Marketing budgets, work with leadership on financial planning, data-driven decision-making, and provide insights on financial performance and initiatives.

The Principal I, Strategic AI Sales will drive business growth for Braze AI by managing customer relationships, collaborating with sales, and training teams on AI decision-making applications.

Collaborate with customers to implement data solutions, refine ML models, and contribute to product strategy while ensuring successful adoption and outcomes.

The Senior Director of Partnerships at Braze is responsible for defining the global strategy for the Snowflake partnership, driving executive alignment, and collaborating with cross-functional teams to achieve commercial objectives and measurable outcomes.

Collaborate with customers on data science projects, improve ML model architectures, and support product strategy in a client-facing role.