AI Product Manager

eTeam Inc.

NY, NY

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JOB DETAILS

SALARY

$55–$60 Per Hour

SKILLS

Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Caching, Cloud Computing, Communication Skills, Computer Science, Cost Control, Cross-Functional, Customer Satisfaction, Customer/Client Research, Data Quality, Ecosystems, Establish Priorities, Incident Management, Leadership, Mentoring, Metrics, Network Routers, Open Source, Performance Management, Performance Metrics, Performance Tuning/Optimization, Policy Development, Presentation/Verbal Skills, Problem Solving Skills, Product Demonstration, Product Design, Product Lifecycle, Product Management, Product Planning, Product Programs, Product Reviews, Product Strategy, Product Testing, Production Support, Production Systems, Productivity Management, Regulatory Compliance, Reliability Engineering, Risk, Risk Management, Safety Standards, Writing Skills

LOCATION

NY, NY

POSTED

1 day ago

Role Name: AI Product Manager
Location: New York

JOB DESCRIPTION:
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 StrategyDefine 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 CustomerCollaborate 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 GovernanceEstablish 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 StrategyOwn 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 BarLead 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 Role Requirements understand what skills experience and qualities you are looking for BASIC QUALIFICATIONS AND EXPERIENCE A bachelors degree in Engineering Computer Science or an equivalent qualification an overall experience of 1015 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

About the Company

eTeam Inc.

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.

COMPANY SIZE

100 to 499 employees

INDUSTRY

Other/Not Classified

FOUNDED

1998

WEBSITE

www.eteaminc.com

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