Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.
Role Overview
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.
What You'll Do
- 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
What We're Looking For
- 25 years of 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
Nice to Have
- 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
