Duration: 12%2B Months
Total Required Experience in Years: 15%2B Years
Mode of Work: Remote
The client is seeking an experienced Product Manager to lead the end-to-end lifecycle of AI-powered platform products including conversational assistants, agentic workflows, knowledge retrieval systems, content generation solutions, and reusable AI capabilities.
This role sits at the intersection of Product, Engineering, Design, and AI Innovation. The selected candidate will own product strategy, roadmap execution, user experience, delivery planning, stakeholder management, and product adoption while leveraging Generative AI and Agentic AI technologies to solve complex business problems.
The ideal candidate is an AI-native Product Manager with hands-on familiarity with LLMs, RAG architectures, AI agents, prompt engineering, evaluation frameworks, and enterprise AI governance.
Own the complete product lifecycle from discovery through launch and continuous improvement.
Define and execute product vision, strategy, and roadmap.
Conduct stakeholder interviews, user research, and workflow analysis.
Identify high-value business opportunities and prioritize feature development.
Translate ambiguous business requirements into actionable product plans.
Drive product adoption and business outcomes.
Convert repeatable user workflows into scalable platform capabilities.
Partner with Engineering and Design teams to build AI-native user experiences.
Design solutions leveraging:
AI Agents
Multi-Agent Orchestration
Retrieval-Augmented Generation (RAG)
Knowledge Services
Shared AI Components
Conversational Interfaces
Define model selection strategies across multiple LLM providers.
Implement AI evaluation and quality assurance frameworks.
Support responsible AI and governance initiatives.
Design human-in-the-loop workflows and escalation mechanisms.
Collaborate closely with delivery and consulting teams.
Analyze practitioner workflows and operational challenges.
Design AI-driven productivity solutions.
Develop reusable AI workflows and configurable business patterns.
Define implementation strategies for enterprise AI adoption.
Prioritize product backlogs and roadmap investments.
Drive improvements in:
Latency
Scalability
Reliability
Observability
Cost Optimization
Define KPIs and success metrics.
Monitor product adoption and AI workload efficiency.
Maintain product documentation and governance standards.
Collaborate with:
Engineering
Design
Security
Compliance
Product Leadership
Business Stakeholders
Present roadmaps, product strategy, and business impact.
Facilitate alignment across technical and business teams.
Manage competing priorities and stakeholder expectations.
10%2B years of Product Management experience.
Experience delivering enterprise software or platform products.
Strong experience with:
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents
Prompt Engineering
AI Evaluation Frameworks
Experience building AI-enabled products from concept to production.
Strong roadmap management and product strategy experience.
Experience conducting user research and requirements gathering.
Experience collaborating with Engineering and UX teams.
Strong analytical, problem-solving, and decision-making skills.
Experience operating within enterprise security and governance frameworks.
Excellent communication and executive presentation skills.
Professional Services or Consulting Industry experience.
Experience with AI Agent Frameworks.
Experience with OpenAI, Anthropic, Gemini, Claude, or similar LLM platforms.
Experience with AI copilots and conversational interfaces.
Experience supporting enterprise-scale AI transformation initiatives.
Experience designing products for both practitioners and executive users.
Experience working with multi-model AI architectures.
Bachelor\'s Degree in Computer Science, Engineering, Information Systems, Business, or related field.
Equivalent experience may be considered.
Bachelor\'s Degree Required.
Master\'s Degree Preferred.
MBA Preferred.
Certified Scrum Product Owner (CSPO) preferred.
SAFe Product Manager/Product Owner preferred.
AI Product Management certifications preferred.
Cloud certifications (AWS, Azure, GCP) preferred.
Client Industry: Enterprise AI Platform
Location: Remote
Duration: 12%2B Months
Strong AI Product Management experience is required.
Hands-on understanding of LLMs, Agents, RAG, and Generative AI is highly preferred.
Experience shipping AI-powered products in enterprise environments is strongly desired.
Consulting or Professional Services experience is a major plus.