Silver Deployment Strategist role at Wonderful responsible for leading delivery of AI solutions for enterprise customers from scoping through production launch. Coordinates cross-functional teams and manages project timelines and success metrics.
Responsibilities
As a Deployment Strategist at Wonderful, you’ll own the successful delivery of AI solutions for enterprise customers — turning ambitious AI initiatives into real, measurable outcomes.
You’ll lead complex implementations from early scoping through production launch, working closely with customers and internal teams to align on requirements, timelines, and success metrics. You’ll ensure that each deployment is well-coordinated, executed on time, and set up to scale.
This role is ideal for people who enjoy operating at the intersection of technology, execution, and customer collaboration, and who take pride in making complex projects land smoothly.
Own and lead delivery of Wonderful’s platform and AI agents for enterprise customers
Scope requirements, success metrics, and integration plans for POCs and onboardings
Coordinate platform implementation, integrations, and agent refinement toward production launches
Align Product, Engineering, and customer teams on deliverables, timelines, and SLAs
Track progress, manage risks, and remove blockers throughout the delivery lifecycle
Monitor AI agent performance in production and drive follow-up improvements
Identify and develop new AI use cases with customers to expand adoption and impact
Qualification
Strong project managementProactive
Required
Experience in technical program management, delivery, consulting, investment banking, or fast-growing startups
Strong project management, organization, and communication skills
Comfort working with technical concepts such as APIs, data flows, and system integrations
Ability to manage multiple stakeholders and keep complex efforts moving forward
Proactive, hands-on mindset and interest in AI-driven products
Bachelor’s degree in Computer Science or a related technical field
Preferred
Engineering background or prior hands-on technical experience
Experience working in a high-growth or early-stage startup environment
Experience supporting production software launches and ongoing operations
