What are the responsibilities and job description for the AI Product Manager position at Avacend, Inc.?
We are looking for an experienced AI Product Manager to lead the strategy, roadmap, and delivery of AI-powered products leveraging RAG (Retrieval-Augmented Generation) and Agentic AI solutions. The ideal candidate should have telecom domain experience across network operations, customer experience, and frontline functions.
Key Responsibilities
AI Product Strategy
- Define and drive the product vision, strategy, and roadmap for AI products, including RAG and Agentic AI solutions.
- Translate business objectives and user needs into prioritized product requirements and measurable outcomes.
- Work closely with cross-functional teams to identify AI use cases that drive operational efficiency and business value.
- Leverage telecom industry expertise across network operations, customer experience, and frontline functions to shape product direction.
RAG & Agentic AI Product Development
- Collaborate with engineering and AI teams to design and deliver scalable AI-powered products.
- Demonstrate working knowledge of RAG, Agentic RAG, and multi-agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
- Evaluate architectural trade-offs and guide product decisions related to AI capabilities, usability, and scalability.
- Ensure alignment between technical solutions and business goals.
AI Evaluation & Quality Assurance
- Define and implement AI evaluation frameworks for monitoring solution quality and performance.
- Establish metrics for relevance, groundedness, accuracy, response quality, and hallucination reduction.
- Drive continuous improvement initiatives based on user feedback, analytics, and business KPIs.
- Partner with engineering teams to optimize model performance and product effectiveness.
User Experience & Stakeholder Management
- Conduct user research, customer interviews, and journey mapping to uncover opportunities and pain points.
- Build strong relationships with business leaders, technical teams, and external partners.
- Translate complex AI concepts into clear business value propositions for stakeholders.
- Drive stakeholder alignment throughout the product lifecycle, from ideation to launch and optimization.
Required Qualifications
- Bachelor’s degree in engineering, Computer Science, Business, Information Systems, or a related field.
- 8 years of Product Management experience, with exposure to AI/ML-driven products.
- Experience managing end-to-end product lifecycle, including roadmap planning, requirement gathering, prioritization, and delivery.
- Strong understanding of Generative AI, LLMs, RAG architectures, and Agentic AI concepts.
- Experience working with telecom business functions such as Network Operations, Customer Experience, Service Delivery, or Frontline Operations.
- Strong analytical, problem-solving, and stakeholder management skills.
- Excellent communication and presentation skills.
Preferred Qualifications
- Experience launching production-grade AI applications.
- Familiarity with AI evaluation tools, prompt engineering, and LLM monitoring frameworks.
- Experience working in Agile/Scrum environments.
- Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
- Certification in Product Management, AI, Data Science, or related disciplines is a plus.
Key Skills
- AI Product Management
- Generative AI & Large Language Models (LLMs)
- RAG & Agentic AI
- LangChain, AutoGen, CrewAI
- Product Strategy & Roadmap Planning
- AI Evaluation Frameworks
- User Research & Journey Mapping
- Stakeholder Management
- Telecom Domain Knowledge
- Agile Methodology
- Business Analysis & KPI Management
Salary : $90 - $92