Manager, Technical Program Management – AI/ML, Content Engineering
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Job Description
Technical program manager delivering applied AI/ML programs for Paramount+ and Pluto TV. Coordinating research, engineering, product, launches, dependencies, and risk mitigation.
Responsibilities:
- Lead delivery of Consumer AI programs focused on personalization, recommendations, and AI-driven experiences for Paramount+ and Pluto TV
- Own end-to-end delivery of programs spanning research, engineering, and product from early experiments through production launch
- Define scope, milestones, OKRs, and success metrics
- Provide senior executives with executive-ready updates on status, risks, decisions, and tradeoffs
- Give management visibility into deliverables, experiment status and results, and timelines to internal testing and launch
- Track cross-team dependencies and align priorities with teams inside and outside Consumer AI
- Influence stakeholders in a matrixed environment without formal authority
- Identify delivery and technical risks, including data quality, model readiness, and infrastructure capacity, and drive mitigation
- Facilitate root-cause analysis of blocking issues and escalate decisions with options and recommendations
- Translate technical tradeoffs into clear plans for technical and non-technical audiences
- Use AI-assisted tools to build operational tooling, dashboards, and automation
Requirements:
- Bachelor’s degree in computer science, engineering or a related technical field, or equivalent applicable experience
- 8+ years of experience in Technical Program Management, Engineering Program Management, or a related role delivering complex, multi-team technical systems
- Experience delivering programs for applied ML systems, such as personalization, ranking, recommendation or content knowledge, or for the data and platform infrastructure behind them
- Day-to-day fluency with AI-assisted tools applied to program management work, such as dashboards, reporting and automation
- Working knowledge with at least one major cloud platform
- Proven ability to operate in ambiguity and bring structure to a fast-moving, still-evolving problem space
- Knowledge with the applied ML lifecycle: experimentation and evaluation, productionization and monitoring
- Awareness with data and embedding pipelines and vector-based retrieval concepts
- Knowledge with emerging practices such as prompt and context engineering and agent orchestration
Benefits:
- Attractive compensation and comprehensive benefits packages
- Generous paid time off
- Opportunities for both on-site and virtual engagement events
- Opportunities to make meaningful connections and build a vibrant community
- Reasonable accommodations during the job application and/or recruitment process for qualified individuals with disabilities
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