Lead AI Product Manager

Responsibilities

• Own the product vision, roadmap, and backlog for two critical enterprise AI infrastructure solutions.
• Oversee Arize, our cloud-agnostic model observability platform that serves as the evidence layer for monitoring effectiveness, governance, and drift across both GenAI and traditional ML implementations—delivering comprehensive monitoring, diagnostics, evaluations, bias detection, and real-time anomaly detection to support model owners, developers, technology teams, and governance processes.
• Drive ModelOp, firm's central hub for onboarding and cataloging all AI models and use cases while orchestrating digital governance workflows to ensure regulatory compliance.
• Translate business requirements into feature sets and user stories with clear acceptance criteria, actively participate in sprint ceremonies, and partner with development teams to sequence work that maximizes value delivery.
• Manage the integration and experience between ModelOp and Arize, write product documentation and release notes, field feature requests from support channels, and provide proactive engagement with technology teams bringing AI use cases to production.

Requirements

• Systems thinker with customer service orientation, strong follow-up discipline, and the ability to work through ambiguity while empowering development teams and ensuring compliance across firm's rapidly expanding AI portfolio.
• Owns the vision and strategy, roadmap, and feature definition for multiple products and/or complex products.
• Manages the product backlogs for a product group while prioritizing work and making product-related decisions based on the needs and expectations of users and stakeholders.
• Makes multiple product designs at any given time while partnering closely with the business to understand pain points and develop strategy.
• Develops deep understanding of the business and product areas within the product group, as well as the relevant data that can be used to inform key decisions.
• Identifies and manages work with a high level of autonomy.
• Builds partnerships with relevant stakeholder teams.
• Coordinates with interdependent teams and influences leadership to drive efficiencies.
• Builds and leverages solid working relationships with business and product stakeholders, UI/UX, architecture, and technology teams to facilitate product and user success.
• Participates in the intake process for their product domain.
• Leads the product planning process across multiple products and/or complex products by overseeing the development of requirements documents (user stories, acceptance criteria, use cases) for products or product releases.
• Maintains a prioritized backlog based on defined user value, aligning with product strategy and resource capacity; uses data and analytics to prioritize the product backlog appropriately.
• Works closely with UI/UX to set the direction for the design of the user experience for their products.
• Determines and monitors release goals, prioritization, implementation, and iteration plans for their products according to user value.
• Resolves problems that are escalated during the process.
• Leads large and sometimes highly complex product launches by working with relevant stakeholders to develop launch plans.
• Identifies, reviews, and resolves issues and blockers in partnership with team members that may delay the launch or impede the success of product(s).
• Coordinates formal UAT where necessary.
• Develops product documentation and training materials for users in support of product launches.
• Tracks and reports on product launch metrics, utilizing feedback to drive associated actions and product iteration.
• Leads post-launch reviews and drives incorporation of feedback in future product releases.
• Works with internal and external teams and users to identify, classify, and resolve product and product group-level user issues.
• Identifies new and innovative methods and metrics for tracking product success, works with the technology team to improve reports and monitoring.
• Works with stakeholder teams to actively monitor metrics.

Qualifications

• Backend/AI-focused Product Management Experience.
• Experience with AI platforms, governance, observability, and ML operations.
• Model Observability (3rd party app) OR Arize (3rd party app).
• Both Model Obs & Arize (unicorn candidate - would be a BIG plus).
• AI governance product experience.