Summary
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today’s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of Integrated Services.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.
We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.
Join us and be part of this journey towards greater opportunities and brighter futures.
Description
Build the Intelligence Layer Powering Enterprise AI
Concentrix is seeking a Product Manager to lead iX Hello Knowledge, our enterprise RAG (Retrieval-Augmented Generation) platform that serves as the intelligence foundation for our AI product suite. If you've built AI products that depend on accurate, scalable knowledge retrieval and understand the challenges of managing data at enterprise scale, this role is for you.
About the Role
As a Product Manager you'll own the product strategy for our knowledge platform that powers intelligent responses across our conversational AI, automation, and analytics products. iX Hello Knowledge uses RAG technology to retrieve and synthesize information from diverse enterprise data sources, enabling our products to provide accurate, contextual answers grounded in each customer's unique knowledge base.
This is a true platform product role. Your customers are both internal product teams who depend on Knowledge to power their features, and enterprise clients whose data quality and retrieval accuracy directly impact their end-user experience. Success requires balancing the needs of multiple stakeholders while maintaining performance, reliability, and security at scale.
What You'll Do:
Platform Product Strategy
- Define the product roadmap for our RAG platform, focusing on retrieval accuracy, data ingestion capabilities, and API performance
- Balance competing priorities from internal product teams while ensuring the platform serves broader enterprise customer needs
- Evaluate emerging RAG architectures, embedding models, and vector database technologies to keep our platform competitive
- Establish success metrics that reflect both platform health and downstream product impact
Cross-Product Collaboration
You'll work closely with product managers from our conversational AI, automation, and analytics teams to:
- Understand their knowledge retrieval requirements and translate them into platform capabilities
- Coordinate releases and ensure backward compatibility across dependent products
- Design APIs and integration patterns that enable other products to leverage Knowledge effectively
- Gather feedback on platform performance and prioritize improvements based on cross-product impact
Enterprise Customer Focus
- Lead technical discovery sessions to understand enterprise data landscapes, security requirements, and integration constraints
- Define data ingestion workflows for diverse sources: knowledge bases, documentation repositories, CRM systems, and proprietary databases
- Work with customer technical teams on data preparation, chunking strategies, and retrieval optimization
- Monitor platform usage patterns and retrieval quality metrics to drive continuous improvement
Technical Product Ownership
- Write detailed technical specifications for data ingestion pipelines, embedding workflows, and retrieval APIs
- Partner with engineering on architecture decisions related to vector databases, embedding models, and search algorithms
- Manage platform scalability and performance as data volumes and query loads increase
- Ensure robust security, compliance, and data governance capabilities for enterprise requirements
What We're Looking For:
Required Background
- Product Management Experience: 2-4 years in B2B/enterprise software product management with experience launching and iterating on product features
- AI/ML Product Experience: Hands-on experience with AI products, particularly those involving RAG, knowledge retrieval, embeddings, or NLP technologies
- Enterprise Software: Understanding of enterprise software requirements including security, compliance, data governance, and integration complexity
- Technical Aptitude: Ability to understand technical concepts, write specifications, and engage in detailed technical discussions with engineering teams
- Platform Thinking: Experience building products that serve as platforms for other products or internal customers
Strongly Preferred
- RAG/Vector Search Experience: Direct experience with RAG systems, vector databases, embedding models, or semantic search technologies
- Data Pipeline Knowledge: Understanding of data ingestion, ETL processes, and data quality management
- API Product Experience: Experience designing and managing API products with multiple consumers
- Enterprise Integration: Knowledge of common enterprise data sources (Salesforce, SharePoint, ServiceNow, etc.) and integration patterns
Technical Knowledge
- RAG Fundamentals: Understanding of retrieval-augmented generation, embedding models, and vector search principles
- Data Architecture: Familiarity with data storage solutions, indexing strategies, and query optimization
- API Design: Knowledge of RESTful APIs, webhooks, and platform integration patterns
- Cloud Infrastructure: Basic understanding of cloud services (AWS/Azure/GCP) and scalability considerations
- AI/ML Concepts: Awareness of model evaluation, prompt engineering, and AI system reliability
Product Skills
- Stakeholder Management: Ability to balance needs of internal product teams, engineering, and external enterprise customers
- Technical Communication: Translate complex technical concepts for diverse audiences from developers to business executives
- Requirements Definition: Experience writing clear, detailed technical requirements and user stories
- Data-Driven Decisions: Comfortable using analytics, A/B testing, and performance metrics to inform product decisions
- Problem-Solving: Approach challenges with analytical rigor and first-principles thinking
Why This Role Matters
- Foundational Impact: Your platform powers the intelligence behind multiple products serving Fortune 500 enterprises
- Cutting-Edge Technology: Work with the latest advances in RAG, embeddings, and semantic search
- Technical Growth: Deep dive into AI/ML technologies while developing platform product management expertise
- Real-World Scale: Manage a platform handling enterprise data volumes with strict accuracy and performance requirements
- Career Development: Build expertise in a high-demand area (AI platforms) with significant growth opportunities
Ideal Candidate Profile
We're looking for someone who:
- Has built or managed AI products involving knowledge retrieval, search, or data-driven intelligence
- Understands the technical challenges of RAG systems, from data ingestion to retrieval accuracy
- Can communicate effectively with both technical teams and business stakeholders
- Has worked in enterprise environments and understands the importance of reliability, security, and compliance
- Thinks systematically about platform design and cross-product dependencies
- Is excited about being at the intersection of AI technology and enterprise data challenges
Join Us
Ready to build the knowledge foundation for enterprise AI? If you're passionate about RAG technology, platform products, and solving complex data challenges at scale, we'd love to hear from you.
