Enterprise AI Engagement Lead

RapidCanvas

United States

Hybrid

USD 90,000 - 135,000

Full time

8 days ago
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Job summary

RapidCanvas is hiring a customer-facing AI Engagement Manager to drive enterprise AI projects from discovery through delivery. You’ll partner with senior executives and cross-functional teams to ensure engagements are well-managed, opportunities advance, and deployments deliver measurable business value.

The role blends client-facing duties with behind-the-scenes operations in a hybrid setting, requiring strong ownership, attention to detail, and a passion for enterprise AI transformation.

Qualifications

  • 3–6 years of experience in customer-facing roles such as Sales, Engagement, Delivery Management, or Revenue Operations.
  • Strong project management and follow-through in fast-moving environments.
  • Excellent written and verbal communication skills.
  • High attention to detail, organization, and accountability.
  • Confidence working with senior stakeholders (VPs, GMs, founders).
  • Curiosity about enterprise AI and business transformation.

Responsibilities

  • Pre-Sales: Discovery, Engagement, and Deal Progression—qualify prospects, research, capture requirements, and draft proposals.
  • Post-Sales: Delivery Coordination and Customer Success—hand offs, scope clarity, milestones, and value tracking.
  • Operational Excellence—maintain docs, organize systems (HubSpot, Slack, JIRA, Confluence), ensure dashboards and reporting are accurate.
  • Industry Content & Strategic Value Support—develop AI use-case presentations, ROI models, roadmaps, and expansion opportunities.

Skills

Project management
Customer-facing
Executive communication
Attention to detail
Stakeholder management

Tools

HubSpot
Slack
JIRA
Confluence
Drive

Job description

RapidCanvas is hiring a customer-facing AI Engagement Manager to drive enterprise AI projects from discovery through delivery. You’ll partner with senior executives and cross-functional teams to ensure engagements are well-managed, opportunities advance, and deployments deliver measurable business value.

The role blends client-facing duties with behind-the-scenes operations in a hybrid setting, requiring strong ownership, attention to detail, and a passion for enterprise AI transformation.

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