We are seeking a product leader to own MLOps and Agentic strategy for Smarsh’s Analytics Platform. This role involves: Defining and socializing the multi-year MLOps platform roadmap, spanning model training, evaluation, deployment, monitoring, and retirement across global regions Architecting product solutions for multi-region model inference with data residency constraints Driving model observability and drift detection capabilities from concept to adoption Owning the vendor and tooling strategy across the MLOps stack Publishing the Agent Framework Reference Architecture Leading product strategy for agentic workflow reliability Defining and documenting the Bring Your Own Model Championing model governance as a product capability Driving adoption of the Model Governance Framework with Model Risk Management teams Defining meaningful KPIs and observability standards Developing and maintaining a model risk taxonomy Partnering with Applied ML, Engineering, Product, Finance, and Procurement Representing the MLOps and Agent Frameworks product domain to senior leadership Establishing and governing the product council or working group Collaborating with product teams to embed analytics consistently into their workflows