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We are currently seeking a AI Product manager to join our team in New york, New York (US-NY), United States (US). About Your Role: As an AI Product Manager, you will define the strategy, roadmap, and execution for Generative AI agentic solutions. Your mission is to reduce risk and cost in complex production environments by translating operational challenges into innovative AI-driven solutions. You will collaborate with engineering, production support, and application teams to deliver high-impact, reliable, and safe AI products.
Job Responsibility:
Define product vision, strategy, and roadmap for agentic AI systems
Translate user pain points into product requirements, user stories, and success metrics
Lead end-to-end lifecycle for LLM-based products from discovery to iteration
Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops
Drive integrations with observability, incident management, and deployment systems
Conduct user research and translate production challenges into roadmap priorities
Own AI safety, governance, reliability, and fallback strategies
Define and monitor KPIs such as cost, latency, and user satisfaction
Own data and knowledge strategy including RAG pipeline and data validation
Lead product design reviews and promote data-driven experimentation
Mentor teams on AI product management and best practices
Requirements:
Bachelor’s degree in Engineering, Computer Science, or equivalent
10–15 years of experience with significant product management exposure
5 + yr Experience leading large-scale AI/ML or cloud-based product initiatives
5 + yrs Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps
5 + yrs Ability to engage deeply with engineering teams on technical topics
Strong communication skills for technical and non-technical stakeholders
Experience working in fast-paced, cross-functional environments
Strong analytical and data-driven decision-making skills
Proven ability to influence without direct authority
Nice to have:
Experience working with enterprise-scale production environments
Familiarity with observability and incident management tools
Experience in prompt engineering and LLM evaluation frameworks
Exposure to AI safety, governance, and compliance standards
Prior experience mentoring product managers or leading product communities
Knowledge of cloud platforms such as AWS or Google Cloud in AI contexts