Product Manager, Model Serving - AI/ML Solutions Team

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations.

Join our dynamic AI/ML Solutions team and make a meaningful impact by delivering high-quality model serving infrastructure and capabilities that empower data scientists, engineers, and business stakeholders alike.

As a Product Manager in Model Serving, you are an integral part of the team that innovates new AI/ML product offerings and leads the end-to-end product life cycle.

You will play a crucial role in developing and implementing our enterprise model serving platform capabilities spanning model deployment, inference infrastructure, and lifecycle management.

Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of ML platform features, gather crucial feedback, and ensure top-tier client experiences.

With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams including ML engineers, data scientists, and platform engineers to deliver high-quality products that exceed customer expectations.

Job responsibilities



* Develops a product strategy and product vision for model serving capabilities that delivers measurable value to internal and external customers across the AI/ML lifecycle


* Manages discovery efforts and market research to uncover model deployment and inference needs, integrating insights into a prioritized product roadmap


* Owns, maintains, and develops a product backlog that enables development teams to support the overall strategic roadmap for model serving, including real-time and batch inference


* Builds the framework and tracks key success metrics such as inference latency, throughput, model availability, and cost efficiency,


* Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination


* Carries out in-depth quantitative and qualitative analysis to support business cases for model serving investments and leadership decision-making


* Leads the completion of change management activities across functional partners and ensures adherence to the firm's risk, controls, compliance, and regulatory requirements including model risk governance standards


* Communicates proposed solutions and insights effectively to stakeholders across ML engineering, data science, risk, and business teams


* Promotes adherence to industry standards and best practices for ML model deployment, serving infrastructure, and MLOps (e.g., model registries, CI/CD for ML, feature stores)


* Stays informed on industry trends and emerging technologies in model serving, LLM inference optimization, ML observability, and AI platform a...