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Braze is seeking an Engagement Manager II to lead the AI Deployment team's execution of customer engagements around Braze AI Decisioning Studio. This is a critical role blending tactical leadership, technical expertise, and proactive client management.
Key Responsibilities:
- Own the complete AI deployment lifecycle from use case design through user acceptance testing (UAT), including initial scoping, operating model definition, technical setup, and final validation.
- Lead hands-on technical workshops with customers to align on objectives, technical specifications, model configuration, and optimal integration architecture.
- Serve as the primary point of contact for customers throughout deployment, managing deliverables, proactively identifying and mitigating risks, and providing clear communication to all stakeholders including senior leadership.
- Champion process improvement by continuously refining the standardized AI deployment playbook to ensure consistent, high-quality delivery.
- Influence the product roadmap by ensuring it remains customer-centric and evolves to meet changing customer and deployment team requirements.
You will work with customers across a wide range of industries, facilitating the deployment of AI decisioning solutions for marketers. The role requires balancing strategic thinking with hands-on execution, and the ability to navigate complex technical projects while building strong relationships with diverse stakeholders.
About Braze:
Braze is the leading customer engagement platform empowering brands to deliver great customer experiences. Built on composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features across the platform for smarter, faster, and more meaningful customer engagement. The company has 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 is headquartered in New York with offices globally including London, and has been named a 2025 Best Companies To Work For by U.S. News & World Report and a 2025 Fortune Best Workplace in Technology by Great Place To Work.
Requirements:
- 5-7 years of project management, consulting, or professional services experience
- Bachelor's degree in a technical field (advanced degrees such as MBA or MS preferred)
- Significant experience managing technical projects from start to finish
- Expertise in leading workshops with senior-level stakeholders
- Hands-on technical experience allowing contribution to architectural and machine learning design at a conceptual level
- Ability to communicate with marketing, data engineering, and data science teams
- Proactive, resourceful, and entrepreneurial mindset
- Strong organizational skills and exceptional clarity in communication
