Engagement Manager, AI Deployment
Required skills
- AI Deployment
- Braze AI Decisioning Studio
- Program Execution
- Use Case Design
- Technical Setup
- Technical Workshops
- Integration Architecture
- Customer Deliverables
- Risk Identification
- Product Roadmap
Role summary
Braze is seeking an AI Deployment Engagement Manager to lead the execution of AI Decisioning Studio use cases for clients. This individual contributor role involves owning the full deployment lifecycle, from initial design and technical setup to UAT and client relationship management. The ideal candidate will have a strong technical background, expertise in project management and consulting, and a passion for process improvement and influencing product roadmaps. Responsibilities include facilitating technical workshops, driving customer engagements, and collaborating with marketing, data engineering, and data science teams. A Bachelor's degree in a technical field is required, with 5-7 years of relevant experience.
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:
WHO YOU ARE
You are a highly organized and entrepreneurial leader with a strong technical background and a customer-centric mindset. You are a natural at navigating complex projects and building relationships with a diverse range of stakeholders.
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you
OUR AI-POWERED BRAZE RECRUITMENT PROCESS
At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process.
This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions 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:
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.
Sample Braze interview questions
- 1
Evaluate the potential for a 10x idea in global connectivity or energy.
product sensemedium - 2
What features would you add to an airport's physical space to make "layovers" more productive for business travelers?
product sensemedium - 3
How would you use AI or machine learning to provide personalized health nudges throughout a user day?
product sensemedium
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