Job Opportunities API

Who is our client? Our client is a large-scale technology organization with a strong focus on engineering, data, and AI. They are continuing to invest in AI/ML platform capabilities that enable teams to build, operate, and scale machine learning and intelligent applications more effectively.   About the Role This role is for a highly technical Product Manager who will lead machine learning/LLM platform initiatives. You will work at the intersection of product, platform engineering, data, and AI to improve tooling, automate workflows, and strengthen the reliability and scalability of technical platforms. *Relocation sponsorship provided   Responsibilities Own and drive the roadmap for machine learning/LLM platform capabilities. Identify platform gaps, workflow inefficiencies, and opportunities to improve automation, reliability, and scale. Work closely with software, data, and ML engineers to define requirements and deliver platform improvements. Build product direction for internal tooling, self-service dashboards, workflow automation, and platform enablement. Support platform capabilities across data integration, model operations, deployment, observability, and monitoring. Work with engineering on architectural direction, scalability decisions, and execution trade-offs. Define success metrics and measure adoption, performance, and impact of platform initiatives. Drive cross-functional alignment and communicate effectively with both technical and non-technical stakeholders. Lead the change management and help users successfully adopt new platform capabilities. Translate complex technical needs into clear product priorities and execution plans.   Qualifications 5-7 years of experience as a Product Manager or in a highly technical product role. Prior hands-on experience in software engineering, machine learning engineering, or data engineering is required. Strong understanding of platform products, technical systems, and engineering workflows . Strong knowledge of MLOps , including monitoring, evaluation, deployment, versioning, observability, and model lifecycle management. Experience working closely with engineers on roadmap, architecture, and delivery. Strong analytical and problem-solving skills. Ability to communicate technical concepts clearly to a wide range of stakeholders. Comfortable working in fast-paced, high-scale, and ambiguous environments. Strong ownership mindset and the ability to lead complex technical initiatives end-to-end.