Conversational AI Engineering Manager

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee and mentor engineers at levels L1–L5

• Facilitate onboarding, performance assessments, career development, and promotion readiness

• Foster a culture of high-trust feedback with robust engineering principles, including code reviews, testing, documentation, and incident learning

• Recruit and hire talent across various levels while scaling the team effectively

• Take ownership of delivery results across multiple concurrent projects, focusing on planning, prioritization, scope management, and risk assessment

• Collaborate with Product teams, clients, and stakeholders to convert business needs into technical strategies and measurable goals

• Develop and enhance agile operating procedures, such as sprint/kanban practices, roadmapping, retrospectives, and performance metrics

• Implement and uphold CI/CD workflows

• Lead the development and improvement of conversational AI systems using Cognigy and/or Amazon Lex + Amazon Q

• Supervise chat and voice bots, routing, integrations, and knowledge-driven interactions

• Ensure adherence to best practices in conversational design, NLU/LLM prompt and tooling management, and secure transitions to live agents

• Enhance bot performance through evaluation, testing, monitoring, and continuous optimization

• Set and maintain standards for reliability, observability, and on-call preparedness

• Spearhead incident response initiatives and root-cause analysis

• Collaborate with security and compliance teams on data management, retention, and access controls for customer data integrations

⛳️ Requirements

• Proven experience managing and mentoring engineers across levels L1–L5

• Demonstrated expertise in onboarding, performance management, career advancement, and promotion readiness

• Experience in recruiting and hiring at various levels

• Strong track record of owning delivery results, including planning, prioritization, scope management, and risk assessment

• Solid experience in client interactions and stakeholder management

• Practical experience in creating and reviewing BRD, PRD, FRD, SOW, and NFRD documentation

• Familiarity with documenting AI solutions, including AI-specific BRDs/PRDs, use cases, workflows, and integrations

• Experience in establishing agile operating practices, including sprint/kanban, roadmapping, retrospectives, and performance metrics

• Proven ability to enforce CI/CD workflows, with and without repositories

• Experience leading the development of conversational AI solutions based on Cognigy and/or Amazon Lex + Amazon Q

• Knowledge of implementing conversational design, NLU/LLM prompt/tooling hygiene, and secure transitions to live agents

• Experience in bot evaluation, testing methods, monitoring, and iterative improvement

• Proven track record in defining standards for reliability, observability, and on-call readiness, including SLOs, logging, dashboards, and alerts

• Experience in managing incident response and conducting root-cause analyses

• Expertise in collaborating with security/compliance teams on data management, retention, and access controls

• Experience in integrating customer data sources

🏝️ Benefits

• Comprehensive benefits package

• Attractive compensation structure

• Health insurance benefits

• Dental coverage

• Vision insurance

• Opportunities for significant career advancement within a rapidly growing company