Level AI

Lead the end-to-end implementation of AI Virtual Agents and CX automation workflows for enterprise customers. Translate business requirements into production-ready deployments while collaborating with internal product and engineering teams to improve platform capabilities.

Design and build the GTM infrastructure, including forecasting engines, deal desk governance, and territory models. Architect AI-driven agents and executive dashboards to optimize pipeline intelligence and operational efficiency.

Design and build scalable backend systems and orchestration frameworks to power real-time AI agents in enterprise environments. You will develop inference pipelines, manage agent memory, and implement evaluation frameworks to ensure reliability and performance.

Lead the onboarding and implementation process for clients to ensure they maximize the value of Level AI's platform. This includes managing technical discovery, configuring AI products, and collaborating with internal teams to resolve client issues.

The Implementation Manager will lead client onboarding and technical discovery sessions to ensure successful configuration of AI-powered customer support solutions. They will serve as the primary point of contact, managing multiple accounts while collaborating with internal teams to drive product adoption and identify growth opportunities.

The role involves owning the sales experience by building and managing relationships with key decision-makers at Fortune 1000 companies, including conducting discovery calls and product demonstrations. Responsibilities also include prospecting, designing presentations, developing business cases, negotiating contracts, and collaborating with internal teams to ensure customer success.