Deployment Strategist
Wonderful · Bengaluru · onsite · Posted 28d ago
About a minute. You'll make an account on the way through.
About this role
As a Deployment Strategist at Wonderful, you make AI deployments land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, forward-deployed engineers, and product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
Responsibilities:
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across product, engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
- You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
Requirements:
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
Nice To Have:
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
Sourced from instahyre