Product Manager, iX Hello Knowledge Platform

About the Product Manager, iX Hello Knowledge Platform Role at Concentrix

Concentrix is seeking a Product Manager, iX Hello Knowledge Platform to lead our enterprise RAG (Retrieval-Augmented Generation) platform. This platform serves as the intelligence foundation for our AI product suite. If you have experience building AI products dependent on accurate, scalable knowledge retrieval and understand the complexities of managing data at an enterprise scale, this role is an excellent fit for you.

As the Product Manager, you will own the product strategy for our knowledge platform. This platform powers intelligent responses across our conversational AI, automation, and analytics products. iX Hello Knowledge leverages RAG technology to retrieve and synthesize information from diverse enterprise data sources, enabling our products to deliver accurate, contextual answers grounded in each customer's unique knowledge base.

This position is a true platform product role. Your key customers include both internal product teams who rely on the Knowledge platform to power their features, and external enterprise clients whose data quality and retrieval accuracy directly impact their end-user experience. Success in this role requires adeptly balancing the needs of multiple stakeholders while ensuring performance, reliability, and security at scale.

What You'll Do

Platform Product Strategy

• Define the product roadmap for our RAG platform, prioritizing retrieval accuracy, robust data ingestion capabilities, and optimal API performance.
• Balance competing priorities from various internal product teams while ensuring the platform effectively serves broader enterprise customer needs.
• Evaluate emerging RAG architectures, embedding models, and vector database technologies to maintain our platform's competitive edge.
• Establish success metrics that accurately reflect both platform health and downstream product impact.

Cross-Product Collaboration

You will work closely with product managers from our conversational AI, automation, and analytics teams to:

• Understand their knowledge retrieval requirements and translate these into actionable platform capabilities.
• Coordinate releases and ensure backward compatibility across dependent products.
• Design intuitive APIs and integration patterns that enable other products to effectively leverage the Knowledge platform.
• Gather feedback on platform performance and prioritize improvements based on their cross-product impact.

Enterprise Customer Focus

• Lead technical discovery sessions to gain a deep understanding of enterprise data landscapes, security requirements, and integration constraints.
• Define comprehensive data ingestion workflows for diverse sources, including knowledge bases, documentation repositories, CRM systems, and proprietary databases.
• Collaborate with customer technical teams on data preparation, chunking strategies, and retrieval optimization.
• Monitor platform usage patterns and retrieval quality metrics to drive continuous improvement initiatives.

Technical Product Ownership

• Write detailed technical specifications for data ingestion pipelines, embedding workflows, and retrieval APIs.
• Partner with engineering on critical 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 stringent enterprise requirements.

Required Background

What We're Looking For:

• Product Management Experience: 2-4 years in B2B/enterprise software product management, with demonstrated 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: A solid understanding of enterprise software requirements, including security, compliance, data governance, and integration complexity.
• Technical Aptitude: Ability to understand complex technical concepts, write clear specifications, and engage in detailed technical discussions with engineering teams.
• Platform Thinking: Experience building products that serve as foundational 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 (e.g., Salesforce, SharePoint, ServiceNow) 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 effectively balance the 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 will power the intelligence behind multiple products serving Fortune 500 enterprises.
• Cutting-Edge Technology: Work with the latest advancements 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 inherent in 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 critical 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, Concentrix would love to hear from you.

Key Skills/Competency

• Product Management
• RAG Technology
• Enterprise AI
• Knowledge Retrieval
• Data Ingestion
• API Design
• Vector Databases
• NLP
• Stakeholder Management
• Technical Specifications