Conversational AI Engineering Manager
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Job Description
Structured overview of role & requirementsAbout This Role
Lead and develop a team of software engineers across levels, focusing on onboarding, performance, and career growth.
Manage end-to-end delivery including planning, prioritization, risk, and scope control for multiple concurrent Conversational AI projects.
Oversee implementation and improvement of Conversational AI solutions (Cognigy, Amazon Lex, Amazon Q), ensuring best practices in design, testing, and incident response.
Minimum Requirements
Experience managing multi-level engineering teams including recruiting and coaching across levels L1-L5.
Hands-on knowledge with Conversational AI platforms such as Cognigy or Amazon Lex + Amazon Q.
Strong stakeholder and client management skills including experience producing and reviewing formal documents (BRD, PRD, SOW, NFRD).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced engineering manager with a strong technical background in Conversational AI implementation and operations.
Proven ability to translate business requirements into technical plans and lead multi-project execution in agile environments.
Comfortable driving cross-functional collaboration on operational excellence, security, and incident management within conversational AI products.