KeyStep

Engagement Manager II

Braze
São Paulo
13 days ago
full-time

Skills & Technologies

Machine LearningStrategyDeploymentMakeAITeamworkLeadership

Job Description

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.

WHAT YOU’LL DO

Engagement Manager II is a critical role on our growing AI Expert Services team. As an EM, you will own all phases of the program execution process for designing, configuring, and expanding OfferFit by Braze 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 OfferFit by 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

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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