Engagement Manager II

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. 
• →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 excellence by continuously improving our standardized AI deployment playbook. You'll help us refine our processes to ensure we deliver consistent, high-quality results.
• →Influence the Product Roadmap: You'll play a crucial role in shaping our product roadmap,  ensuring it remains customer-centric and evolves to meet the changing requirements of our customers and AI deployment teams.  

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: You possess hands-on technical experience that allows you to contribute to a use case's architectural and machine learning design at a conceptual level. You're not just an action-item tracker; you can exchange ideas with a customer's marketing, data engineering and data science teams when needed.
• An Entrepreneurial Builder: You are proactive and resourceful, comfortable identifying unmet needs and developing new solutions. You're driven to continuously improve our processes and help build a stronger, more efficient business.