Jobs at Wonderful

Leads regional technical sales, customer demonstrations, architecture and security discussions, hands-on software development, integrations, and AI agent deployments. Builds and manages engineering, integration, and pre-sales teams; ensures production accuracy; gathers customer feedback; supports localization; partners with global Product; and manages technical customer relationships and escalations.

Build and deploy AI agents that transform enterprise workflows. The engineer embeds with customers to understand operational needs, designs integrations and production systems, manages deployments from prototype through launch, measures outcomes, and iterates based on real-world evidence. Responsibilities include architecture, APIs, data flows, distributed systems, monitoring, reliability, and collaboration with Product and Engineering teams to develop reusable platform tools and best practices.

Lead and close complex enterprise sales across a regional market, growing existing accounts and acquiring new customers. Build relationships with C-suite and senior technology and customer service leaders, manage sales pipelines and forecasts in Salesforce, and sell AI-driven solutions based on business value. The role requires consistently exceeding revenue targets, navigating long multi-stakeholder sales cycles, generating leads, and partnering with system integrators and hyperscalers in a high-growth environment.

Lead enterprise AI deployments from discovery through production rollout. Responsibilities include understanding customer workflows, defining pilot scopes and success metrics, translating needs into engineering plans, coordinating Product, Engineering, and customer stakeholders, managing risks and blockers, supporting launches, monitoring deployed agents, driving improvements, and identifying expansion opportunities.

Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment strategies; coordinate customers, Product, and Engineering; track risks, remove blockers, support launches, monitor deployed agents, drive improvements, and identify expansion opportunities. The role requires customer-facing technical communication, stakeholder management, comfort with ambiguity, and hands-on execution across AI-powered system deployments.