Currently tracking 16 active AI roles, up 102% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
Enterprise · Marketing automation
| Title | Stage | AI score |
|---|---|---|
| Senior Lead AI Solutions Consultant This role is a Senior Lead AI Solutions Consultant at Braze, a customer engagement platform company. The primary responsibility is to drive revenue by increasing understanding and adoption of the BrazeAI portfolio. This involves acting as a pre-sales data scientist to scope use cases, establish credibility with enterprise data scientists, run proofs-of-concept, and lead educational programs like AI Academies. The role requires collaboration with technical and non-technical stakeholders to transform customer lifecycle marketing. | Ship | 5 |
| Engagement Manager II This role is for an AI Deployment Engagement Manager who will own the program execution process for scoping, designing, and configuring Braze AI Decisioning Studio use cases. The role involves leading technical workshops, managing customer engagements, driving process improvement for AI deployment playbooks, and influencing the product roadmap. It requires a blend of technical expertise, project leadership, and client management skills. |
| Ship |
| 5 |
| Engagement Manager II 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. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role is on the AI Expert Services team, focusing on the deployment of OfferFit by Braze's AI decisioning solutions for marketers. This role involves owning the AI deployment lifecycle from use case design to UAT, facilitating technical workshops, managing customer relationships, driving process improvements for AI deployment, and influencing the product roadmap. The ideal candidate has a strong technical background, project management experience, and a customer-centric mindset, with the ability to conceptually contribute to architectural and machine learning design. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role is part of the AI Expert Services team, focusing on the deployment of OfferFit by Braze's AI decisioning solutions for marketers. This role involves leading the entire AI deployment lifecycle, from use case design and technical setup to user acceptance testing, facilitating technical workshops, managing customer relationships, driving process improvements for the AI deployment playbook, and influencing the product roadmap. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Engagement Manager II The Engagement Manager II role on the AI Expert Services team at Braze focuses on owning the program execution for designing, configuring, and expanding AI use cases (OfferFit by Braze). This involves leading the AI deployment lifecycle, facilitating technical workshops, managing customer relationships, driving process improvement for AI deployment playbooks, and influencing the product roadmap. The role requires a blend of technical expertise, project management, and client management skills to ensure successful deployment of AI decisioning solutions for marketers. | Ship | 5 |
| Manager, Engagement Management Manager for Braze's AI Expert Services team, leading client consulting engagements focused on implementing AI solutions to improve business performance and operational efficiency. Responsibilities include facilitating client workshops, driving process improvement for AI deployment playbooks, and managing customer engagements throughout the AI deployment lifecycle. | Ship | 5 |