Engagement Manager
This role oversees the full lifecycle of technical implementations and ongoing customer partnerships for enterprise AI platforms, managing multiple concurrent engagements while serving as the primary point of contact for strategic accounts. Engagement Managers distinguish themselves through their ability to balance project management rigor with trusted advisor relationships, embedding themselves within customer teams to drive adoption of AI capabilities—whether for data platforms, revenue intelligence systems, or enterprise search solutions. They typically sit within Professional Services organizations alongside Solution Architects and AI Engineers, operating at the intersection of delivery execution, customer success, and account growth.
Skills
What companies are looking for in this role.
Managing customer relationships and engagement across the full lifecycle from onboarding through adoption, expansion, and renewal
Driving product adoption and customer success through structured enablement programs and tailored success plans
Owning end-to-end project delivery and execution for customer implementations with accountability for scope, budget, schedule, and quality
Collaborating cross-functionally with internal teams including sales, product, engineering, and professional services to align delivery
Building and maintaining deep, trust-based relationships with customer stakeholders at multiple organizational levels
Identifying and developing expansion opportunities within customer accounts to drive upsell and cross-sell revenue
Managing complex, multi-stakeholder programs with multiple concurrent workstreams and competing priorities
Monitoring and reporting on customer metrics including consumption, utilization, satisfaction, and business outcomes against SLAs
Proactively identifying customer pain points, risks, and operational challenges to ensure successful outcomes
Translating customer business requirements into technical solutions and implementation roadmaps
Conducting customer discovery workshops to understand business requirements and define success criteria
Acting as a trusted technical advisor and thought partner to customer leadership and engineering teams
Developing and executing account plans and go-to-market strategies for strategic customer relationships
Consulting on architecture, design, and best practices for customer implementation of data and AI platforms
Scoping and estimating professional services and training engagements with clear statements of work
Providing technical guidance on optimizing performance, cost efficiency, and scalability of customer deployments
Managing professional services delivery teams and resolving resource conflicts across multiple engagements
Demonstrating understanding of cloud infrastructure, deployment models, and technology integration patterns
Executing contract and procurement awareness in customer-facing roles delivering enterprise solutions
Establishing industry thought leadership and positioning as an external expert in relevant domains
Understanding machine learning training lifecycles and how data quality impacts model performance
Communicating technical concepts and value propositions to both technical and non-technical stakeholders
Facilitating stakeholder alignment and navigating difficult conversations around pricing, timelines, and expectations
Applying analytics-driven problem solving to identify risks and develop fit-for-purpose mitigations
Scaling engagement management functions and building high-performing teams through coaching and mentorship
Technology
The tools and technologies that define this role.
Open Jobs
69 open Engagement Manager jobs across 20 companies.
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