Product Manager - Conversational AI Platform
Listed on 2026-01-01
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IT/Tech
AI Engineer, Systems Engineer
Transform Enterprise Customer Service with AI-Powered Automation
Concentrix is looking for a technically-minded Product Manager with deep enterprise software experience to lead our conversational AI platform. If you have an engineering background and have built AI products that actually solve real business problems, we’d love to talk.
AboutThe Role
You’ll be the product leader for a sophisticated conversational AI platform that helps enterprises automate customer interactions across voice, chat, and messaging channels. This isn’t just another chatbot – we’re building intelligent, context‑aware systems that handle complex, multi‑turn conversations at enterprise scale.
Our platform combines advanced natural language understanding with seamless integrations into existing enterprise infrastructure. You’ll work directly with Fortune 500 customers who depend on our technology to handle millions of customer interactions while maintaining the quality and compliance standards their businesses require.
What You’ll Do Strategic Product Leadership- Product Strategy:
Define the technical roadmap for our AI platform, balancing cutting‑edge capabilities with enterprise reliability requirements - Market Analysis:
Research competitive AI solutions and emerging technologies (including agentic AI approaches) to inform product direction - Technical Decision Making:
Partner with engineering leadership to make architectural decisions that impact scalability, performance, and customer outcomes - Stakeholder Alignment:
Translate complex AI capabilities into clear business value propositions for executive stakeholders
- Orchestration Team:
Conversation flow engine, intent routing, and session state management - Integration Team:
Enterprise connectors (Salesforce, Service Now, CCaaS platforms), API design, and webhook infrastructure - Reporting Team:
Real‑time analytics, observability tools, and customer‑facing dashboards - Channel Gateway Team:
Voice processing, webchat widgets, SMS/messaging, and new channel development
This role requires deep technical understanding to manage complex dependencies, coordinate releases, and ensure system‑wide performance and reliability.
Enterprise Customer Engagement- Technical Discovery:
Lead customer technical evaluations, understanding integration requirements and enterprise constraints - Requirements Engineering:
Transform customer use cases into detailed technical specifications and user stories - Solution Architecture:
Collaborate with customers’ technical teams on implementation approaches and system design - Post‑Launch Optimization:
Analyze performance data and customer feedback to drive continuous product improvements
- Engineering Foundation:
Computer Science, Software Engineering, or equivalent technical degree preferred - Enterprise Software
Experience:
3‑5 years in product management for complex B2B software with multi‑stakeholder sales cycles ($100K+ ACV) - AI/ML Product
Experience:
Hands‑on experience building and launching AI‑powered products, with understanding of model training, deployment, and monitoring - Technical Product Management:
Experience writing technical specifications, managing API roadmaps, and working closely with engineering teams on architecture decisions - Platform
Experience:
Understanding of microservices, cloud infrastructure, and enterprise integration patterns
- Agentic AI
Experience:
Experience with AI systems that can take actions, maintain context, and handle complex multi‑step workflows - Conversational AI Background:
Previous work on chatbots, voice assistants, or dialogue systems - Enterprise Integration Expertise:
Deep knowledge of CRM/ERP integrations, telephony systems, or contact center technologies - Technical Leadership:
Experience leading technical product decisions in complex, multi‑team environments
- API and Integration Design:
Understanding of RESTful APIs, webhooks, and enterprise integration patterns - AI/ML Fundamentals:
Knowledge of NLP, machine learning model deployment, and AI system reliability - Cloud…
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