AI Product manager
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Description:
Local candidates only.
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.
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.
Day to Day Job Duties:
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
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
Basic Qualifications:
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
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
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
