Manager, Technical Program Management – AI/ML, Content Engineering

This is a fully remote position, open to applicants in New York.

📋 Description

• Oversee the execution of Consumer AI initiatives centered on personalization, recommendations, and AI-enhanced experiences for Paramount+ and Pluto TV.

• Manage the complete delivery process of programs, encompassing research, engineering, and product from initial experiments to production launch.

• Establish the scope, key milestones, OKRs, and metrics for success.

• Provide senior leadership with polished updates on project status, risks, decisions, and trade-offs.

• Offer management insight into deliverables, experiment progress and outcomes, and timelines related to internal testing and launch.

• Monitor cross-team dependencies and align priorities with both internal and external teams within Consumer AI.

• Persuade stakeholders in a matrixed environment without possessing formal authority.

• Recognize delivery and technical risks, such as data quality, model readiness, and infrastructure capacity, and drive their mitigation.

• Conduct root-cause analyses of obstructive issues and escalate decisions along with options and recommendations.

• Convert technical trade-offs into comprehensive plans for both technical and non-technical audiences.

• Utilize AI-assisted tools to develop operational tooling, dashboards, and automation.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, or a related technical discipline, or equivalent relevant experience.

• Over 8 years of experience in Technical Program Management, Engineering Program Management, or a related role that involves delivering complex, multi-team technical systems.

• Proven experience in delivering programs for applied ML systems, including personalization, ranking, recommendation, or content knowledge, as well as for the data and platform infrastructure supporting them.

• Daily proficiency with AI-assisted tools used in program management, such as dashboards, reporting, and automation.

• Familiarity with at least one major cloud platform.

• Demonstrated ability to navigate ambiguity and impose structure in a fast-paced, evolving problem space.

• Understanding of the applied ML lifecycle, including experimentation and evaluation, productionization, and monitoring.

• Awareness of data embedding pipelines and vector-based retrieval concepts.

• Knowledge of emerging practices such as prompt and context engineering, as well as agent orchestration.

🏝️ Benefits

• Competitive salary and comprehensive benefits packages.

• Generous paid time off.

• Opportunities for both on-site and virtual engagement events.

• Chances to forge meaningful connections and cultivate a vibrant community.

• Reasonable accommodations during the job application and/or recruitment process for qualified individuals with disabilities.