Wonderful - Deployment Strategist - Monterrey
About The Position
Wonderful enables enterprises to build, test, deploy, and monitor AI agents for complex needs, serving customers and employees across voice, chat, email, and back-office systems in any language or cultural context. As a Deployment Strategist, you will own the successful delivery of AI solutions for enterprise customers, turning AI initiatives into measurable outcomes. You will lead complex implementations from early scoping through production launch, partnering with customers and internal teams to align requirements, timelines, and success metrics. You will ensure deployments are coordinated, delivered on time, and prepared to scale. The role is suited to someone who enjoys working at the intersection of technology, execution, and customer collaboration and takes pride in ensuring complex projects run smoothly. The position is remote and requires being based in Monterrey.
Requirements
- 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 Haves
- 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.
Responsibilities
- Own and lead delivery of Wonderful’s platform and AI agents for enterprise customers.
- Scope requirements, success metrics, and integration plans for proofs of concept and onboardings.
- Coordinate platform implementation, integrations, and agent refinement through 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.
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What This Job Offers
Job Type
Full-time
