Engagement Manager, AI Deployment

The posting, as Braze wrote it

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 architecture. You’ll also partner with customers to configure their solution in their engagement platform.
• Drive successful customer engagements : You'll be the main point of contact for our customers throughout the AI deployment process. You'll keep projects on track by managing customer deliverables, proactively identifying and addressing risks, and providing clear, consistent communication to all stakeholders, including senior leadership.
• Drive Process Improvement : You will champion project management ex

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ecisions and are involved throughout the process.

Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI:

• To opt out of AI-assisted review of your application, please click the “Learn More” at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application.
• To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a retroactive manual review of any decision made or to contest a decision, please contact us at talentdata.privacy@braze.com .

Please contact us at talentdata.privacy@braze.com with any questions. To find out more about our hiring process, check out this page .

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review.

To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at talentdata.privacy@braze.com promptly after applying. Summaries of the most recent bias audit results for such tools are available here .

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.