Lead Conversational AI team, manage engineers, and drive delivery outcomes. Develop high-trust feedback culture and build scalable team. Implement and enhance conversational AI solutions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Role: Conversational AI Manager
Work Module: 100% Remote (India Geo Only)
Work Time: 2 PM to 11 PM IST
Duration: Full Time Role
Roles and Responsibilities:
● Minimum 7 to 10 years of experience is required
● People leadership & team development
● Manage and coach engineers across levels (L1–L5), including onboarding, performance management, career development, and promotion readiness.
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● Build a high-trust feedback culture with strong engineering fundamentals (code review, testing, documentation, incident learning).
● Recruit and hire across multiple levels; help scale the team responsibly.
Delivery & execution
● Own delivery outcomes: planning, prioritization, scope control, and risk management across concurrent projects.
● Collaborate with Product and stakeholders to translate requirements into clear technical plans and measurable milestones.
● Establish and improve agile operating rhythms (sprint/kanban, roadmapping, retros, metrics).
● Enforce CI/CD workflows (both with and without repositories)
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Conversational AI platform leadership
● Lead implementation and enhancement of solutions built on Cognigy and/or Amazon Lex + Amazon Q (chat/voice bots, routing, integrations, and knowledge-driven experiences).
● Ensure best practices for conversational design implementation, NLU/LLM prompt/tooling hygiene, and safe fallbacks/hand-offs to live agents.
● Improve bot quality through evaluation, testing strategies, monitoring, and iterative optimization.
Operational excellence & Cross-functional collaboration
● Define and enforce standards for reliability, observability, and on-call readiness (SLOs, logging, dashboards, alerts).
● Drive incident response and root-cause reviews; ensure learnings translate into durable engineering changes.
● Work with security/compliance stakeholders for data handling, retention, and access controls when integrating customer data sources.
Thank You
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