Engagement Manager II

Braze Braze · Enterprise · Toronto, ON · Customer Experience

This role is for an Engagement Manager II on the AI Expert Services team, focusing on deploying Braze's AI decisioning solutions for marketers. The role involves owning the AI deployment lifecycle, facilitating technical workshops, driving customer engagements, improving deployment processes, and influencing the product roadmap. It requires a blend of technical expertise, project management, and client relationship management.

What you'd actually do

  1. 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)
  2. Facilitate Technical Workshops: You will lead hands-on workshops with customers to align on key objectives, technical specs, model configuration, and optimal integration architecture
  3. 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
  4. 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
  5. 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

Skills

Required

  • Technical project management
  • Client relationship management
  • Process engineering
  • Technical program delivery
  • Customer stakeholder management
  • Hands-on technical experience (conceptual level)
  • Architectural and machine learning design (conceptual level)
  • Communication
  • Organizational skills
  • Entrepreneurial mindset

Nice to have

  • Advanced degrees (MBA or MS)

What the JD emphasized

  • AI decisioning solutions
  • AI deployment process
  • technical setup
  • AI deployment playbook
  • AI deployment teams

Other signals

  • AI decisioning solutions
  • deploying OfferFit by Braze’s AI
  • customer-centric AI product