Engagement Manager, AI Deployment

Excerpt from the original posting

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

Engagement Manager, AI Deployment (Individual Contributor)  

WHAT YOU’LL DO 

The AI Deployment Engagement Manager is a critical role on our growing AI Deployment team. As an EM, you will own all phases of the program execution process for scoping, designing and configuring Braze AI Decisioning Studio use cases. Ideal EMs should be passionate about technical program delivery, process engineering, defining strategy and championing best practices in a rapidly evolving and dynamic environment. Finally, EMs should be experts in developing relationships with customer stakeholders, as such relationships are critical for ensuring program success.

Responsibilities:

As a Machine Learning Engagement Manager, you'll be at the forefront of deploying Braze’s AI decisioning solutions for marketers in a wide range of industries. Your role is a blend of tactical leadership, technical expertise, and proactive client management. Key responsibilities include: 

- Lead the AI Deployment Lifecycle : You'll own the entire deployment process from start to finish. This includes leading the initial use case design, defining the engagement’s operating model, managing the technical setup, and overseeing the final user acceptance testing (UAT).

- Facilitate Technical Workshops : You will lead hands-on workshops with customers to align on key objectives, technical specs, model configuration, and optimal integration architectu…

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