AI Product Manager

New York, NY, United States (On-site) Contract (7 months 17 days) Published 3 days ago stakeholder management aiops aws cloud cost optimization MLOps concepts AI Governance product management RAG pipelines AI/ML Product analysis* 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 practices from discovery and planning to launch and iteration to successfully deliver business aligned outcomes

What you'll do:

• Define Product Vision and Strategy Develop 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 LLMs Guide the end to end product lifecycle from discovery to launch and iteration
• Establish the business facing 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 post incident 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 real world 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 least privilege access
• Manage Product Performance and Scale Define 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 BarLead product design reviews champion data driven experimentation and instill high quality 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 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 AI/ML or technical cloud based products eg AWS Google Cloud
• A deep understanding of the AIML development lifecycle including LLMs agentic architectures RAG pipelines and MLOps While hands-on 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 end users 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 fast paced and constantly changing environments
• Strong analytical skills with experience defining and tracking product metrics to make datain formed decisions
• Proven ability to influence cross-functional teams and demonstrate product leadership without direct authority

The pay range that the employer in good faith reasonably expects to pay for this position is $35.66/hour - $55.71/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.