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Conversational AI - Manager

Roles & Responsibilities

  • Experience leading engineers across multiple levels (L1–L5), including onboarding, performance management, career development, and promotion readiness.
  • Proven ability to recruit and hire across multiple levels and build high-trust teams.
  • Experience delivering Conversational AI solutions using platforms such as Cognigy and Amazon Lex + Amazon Q, including bot design, integration with knowledge sources, and NLU/LLM prompt tooling hygiene.
  • Strong delivery discipline with agile planning, prioritization, scope control, risk management, and experience enforcing CI/CD workflows.

Requirements:

  • Provide leadership for engineers across levels (L1–L5), including onboarding, performance management, career development, and promotion readiness; build a high-trust feedback culture.
  • Own delivery outcomes across concurrent projects: planning, prioritization, scope control, risk management, and translating requirements into technical plans with Product and stakeholders.
  • Lead implementation and enhancement of Conversational AI solutions on Cognigy and/or Amazon Lex + Amazon Q, including best practices for conversational design, NLU/LLM prompt tooling hygiene, and safe fallbacks to live agents.
  • Define reliability, observability, and on-call standards; drive incident response and post-incident learning; collaborate with security/compliance on data handling and access controls.

Job description

About Us

Full Potential Solutions (FPS) is a performance-based, analytically driven omnichannel solutions organization with operations in Kansas City, MO, Chennai, India, Bogota, Colombia, and Manila, Philippines that puts culture and employees first. We are a rapidly growing global company, employing the best people, processes, and proprietary technology to deliver groundbreaking solutions for our clients and fulfilling careers for our employees.

We invest in our people and put culture first because we believe that happy, fulfilled teams deliver breakthrough results. FPS offers a competitive suite of benefits for our employees, including a lucrative compensation program, medical, dental, and vision benefits, and the opportunity for high-potential career growth with a fast-growing company.

Our Core Values:

  • Integrity - Do what’s right for everyone: clients, shareholders, partners & colleagues, TEAM is more important than self, and create an atmosphere of mutual respect

  • Excellence - Deliver exceptional client results, Reward and recognize performance, and Relentless pursuit of improvement

  • Accountability - Act like an owner, take pride in our work, Measure results (your own and our clients), Be passionate

  • Grace - Respect and appreciate differences, Care for one another, Humility, Make work personal

Our Mission: To create conditions within which people can thrive!

Conversational AI - Manager

Roles and Responsibilities:

People leadership & team development

  • Manage and coach engineers across levels (L1–L5), including onboarding, performance management, career development, and promotion readiness.

  • 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)

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.

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