AI Product Manager

**Local to NY & NJ a=candidate only, F2F Client Interview MUST**

Role: AI Product Manager

Locations: New York, NY (Fully Onsite)

12+ Experience Must

About Your Role:

• As an AI Product Manager you will be responsible for defining the strategy roadmap and execution for our suite of Generative AI agentic solutions
• Your mission is to reduce the risk and cost associated with managing largescale complex production environments
• You will partner closely with engineering production support and application teams to translate complex operational challenges into a clear product vision and deliver innovative AI solutions that improve productivity reliability and safety
• You will be the central hub for the product bringing consistent product management practicesfrom discovery and planning to launch and iterationto successfully deliver businessaligned outcomes

What youll do:

• 1 Define Product Vision and StrategyDevelop and champion the product vision strategy and roadmap for agentic AI systems
• Define what success looks like by translating user pain points into clear product requirements user stories and objective functions linked to reliability risk reduction and cost savings
• Lead the Product Lifecycle for LLMsGuide the endtoend product lifecycle from discovery to launch and iteration
• Establish the businessfacing evaluation framework for foundational and opensource LLMs and prioritize the development of retrieval pipelines prompt synthesis and validation loops to meet user needs in production operations
• Drive Integration and Ecosystem Strategy
• Define and prioritize integrations with key runtime ecosystems including observability incident management and deployment systems
• Articulate the value proposition for each integration to enable automated diagnostics runbook execution and intelligent postincident analysis
• Champion the Voice of the Customer
• Collaborate directly with production engineers and application teams through deep user research
• Translate their production challenges into a prioritized AI product roadmap and ensure the solutions delivered are auditable effective and solve realworld problems
• Own AI Safety Reliability and Governance
• Establish and own the product framework for AI safety reliability and governance
• Work with engineering legal and compliance teams to define product policies deterministic fallbacks and rollback strategies ensuring all solutions adhere to the highest standards of safety and leastprivilege access
• Manage Product Performance and ScaleDefine and monitor product SLOs and key performance indicators KPIs for cost latency and user satisfaction
• Prioritize engineering efforts to optimize performance through techniques like prompt engineering caching and model routing to meet stringent business requirements
• Oversee Data and Knowledge Strategy
• Own the product strategy for the RAG pipeline
• Define the scope of required domain knowledge set product requirements for data quality and validation and establish feedback loops to maintain knowledge freshness and relevance
• Drive Product Excellence and Raise the Bar
• Lead product design reviews champion datadriven experimentation and instill highquality product management practices
• Mentor peers and stakeholders on AI product management evaluation methodologies and safe deployment patterns to foster a culture of innovation and excellence

Basic Qualifications And Experience:

• A bachelors degree in Engineering Computer Science or an equivalent qualification an overall experience of 10-15 years with a significant portion in a product management capacity
• Must have strong practical experience in leading large multiteam product initiatives preferably for AIML or technical cloudbased products eg AWS Google Cloud
• A deep understanding of the AIML development lifecycle including LLMs agentic architectures RAG pipelines and MLOps
• While handson coding is not required the ability to engage in deep technical discussions is essential
• Demonstrated ability to engage with engineering teams fellow product managers and endusers to understand complex workflows identify opportunities and create clear prioritized product roadmaps
• Excellent oral and written communication skills with the ability to articulate a complex technical vision to both technical and nontechnical senior leadership
• Proven ability to work strategically and collaboratively across teams in fastpaced and constantly changing environments
• Strong analytical skills with experience defining and tracking product metrics to make datainformed decisions
• Proven ability to influence crossfunctional teams and demonstrate product leadership without direct authority