Product Manager - Conversational AI Platform

Concentrix is looking for a technically-minded Product Manager with deep enterprise software experience to lead their conversational AI platform. The role involves strategic product leadership, cross-team technical coordination, and enterprise customer engagement to enhance customer interactions through AI-powered automation.

Responsibilities:

• 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
• 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

Requirements:

• 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
• 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 Platforms: Familiarity with AWS/Azure/GCP services and enterprise deployment models
• Data and Analytics: Experience with product analytics, A/B testing, and performance monitoring
• Technical Communication: Ability to discuss complex AI concepts with both technical and business stakeholders
• Cross-Functional Influence: Experience driving alignment across engineering, sales, and customer success teams
• Problem-Solving Mindset: Approach challenges with first-principles thinking and technical depth
• Customer-Centric: Direct experience working with enterprise customers on technical implementations
• Built AI products from concept to production deployment
• Worked directly with enterprise engineering teams on complex integrations
• Experience with either conversational AI, agentic AI systems, or similar AI-powered automation tools
• A technical background that allows for deep collaboration with our engineering teams
• Track record of successful product launches in enterprise software environments
• 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
• Telephony Knowledge (Bonus): Understanding of SIP protocols, IVR systems, or contact center infrastructure