braze
Engagement Manager II
At a Glance
- Location
- Denver
- Experience
- 5–7 years
- Posted
- 2026-02-25T11:08:49-05:00
Key Requirements
Required Skills
Domain Knowledge
- Advertising
- Education
- Engineering
- Marketing
- Medical
Benefits & Perks
ment. From offering comprehensive benefits to fostering hybrid ways of working, we
Requirements
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.
A Technical Project Leader:
You have significant experience managing technical projects from start to finish. You're a natural at bringing together technical and non-technical stakeholders, ensuring everyone is aligned and projects are delivered on time. Your colleagues know you as the most organized person on the team, and you communicate with exceptional clarity and persuasiveness
A Strategic Client Partner:
You come from a professional services background and are an expert at leading workshops with senior-level stakeholders. You excel at understanding a customer’s needs and ensuring they are met, but you are also confident in your ability to push back on requests that don't align with the program's goals
A Hands-On Technologist:
Responsibilities
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 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