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Chase · 7 hours ago

Product Manager Platform Model Serving Capabilities

277 Park Ave, New York, NY, 10172, US

Full-time

Onsite

Mid, Senior Level

$123K/yr - $201K/yr

6+ years exp

Chase is a leading financial institution that offers innovative financial solutions. They are seeking an AI Platform Product Manager for Model Serving capabilities to drive the evolution of their ML platform's serving layer, focusing on enabling streamlined and secure model serving in both batch and real-time environments.

BankingFinancial Services

Responsibilities

Define and execute a strategic vision specifically for model serving, incorporating detailed milestones, deliverables, resource allocation, and timelines to drive platform enhancements

Develop and refine platform features to simplify the deployment and serving of machine learning models, ensuring robust support for both batch and real-time serving via Kubernetes-based architectures

Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) and functional groups (Legal, Technology, Controls) to collect business requirements, create PRDs, and ship high quality products that solve business needs

Drive the development of products for streamlining the passage of models through the Model Development Lifecycle, reducing the time to market for model deployment while enforcing strict governance and operational controls throughout the model lifecycle

Drive continuous innovation and ensure the reliability, scalability, and security of the serving infrastructure, directly influencing best practices in containerized model deployments using Kubernetes

Qualification

Product ManagementML Platform SolutionsKubernetesCloud ComputingAgile MindsetLeadership SkillsCollaboration Skills

Required

6+ years of experience in product management with a proven ability to lead and develop high-performing teams in a technology-driven environment

Demonstrated success in delivering enterprise-scale products, particularly in the realm of ML platform solutions

In-depth technical knowledge with a focus on ML lifecycle management, including model deployment and monitoring, with hands-on experience in implementing or managing Kubernetes-based systems for both batch and real-time model serving

Exceptional leadership and collaboration skills, with the ability to influence cross-functional technology teams and business stakeholders effectively

A strong agile mindset, adept at rapid prototyping, iteration, and incorporating early user feedback

Proven track record in defining product domain strategy and roadmap, with the capacity to balance short-term deliverables with long-term technological vision in complex, matrixed organizations

Expertise in Cloud computing architectures