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