Senior Director, Technical Product Management - ML Platform & Infrastructure

Overview

#We Are Paramount  on a mission to unleash the power of content… you in? We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of enthusiastic people who not only recognize the power of content but also enjoy a touch of fun and uniqueness.

Collectively, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

The Applied Machine Learning Group creates personalized streaming experiences that go beyond recommendations, shaping how audiences discover, engage with, and experience content across Paramount+ and Pluto TV. Through deep audience intelligence, multimodal content understanding, and advanced machine learning, we power real-time discovery, personalized engagement, and next-generation short-form and interactive viewing experiences. Our work directly connects millions of viewers to the stories they love while driving meaningful business impact for Paramount Streaming.

Role Overview

We are seeking a Senior Director of Technical Product Management to lead product strategy, execution, and organizational direction for the machine learning platform and infrastructure that powers personalization, content intelligence, and AI-driven streaming experiences across Paramount’s global ecosystem. This leader will own the vision, roadmap, and measurable impact of foundational ML capabilities, spanning:

• Model training, evaluation, and lifecycle management
• Real-time and batch model serving infrastructure
• Feature stores, data pipelines, and ML data platforms
• Runtime systems, integrations, and developer tooling
• Reliability, scalability, latency, and cost efficiency of AI systems

You will partner closely with engineering, data science, product, and executive leadership to ensure our ML platform enables rapid innovation, production-grade reliability, and efficient global scale.

This is a highly strategic and deeply technical leadership role responsible not only for how ML systems are built and operated, but for how platform capabilities accelerate the future of AI across Paramount Streaming.

Strategy & Vision

• Define and lead the multi-year ML platform and infrastructure strategy supporting personalization, discovery, and content intelligence
• Translate company-level goals into scalable platform investments with clear reliability, performance, and cost outcomes
• Identify and incubate next-generation ML platform capabilities, including real-time inference, foundation model enablement, and multimodal infrastructure
• Represent ML platform strategy at the executive and cross-company level

Technical Product Leadership

• End-to-end ML lifecycle platforms (training → deployment → monitoring → iteration)
• Real-time and batch inference infrastructure
• Feature stores, data pipelines, and offline/online consistency
• Experimentation enablement and safe model rollout
• Developer productivity, tooling, and platform APIs
• Partner with ML, platform, and cloud engineering to ensure scalable, reliable, secure, and cost-efficient AI systems
• Drive alignment between research innovation, platform capabilities, and production readiness

Organizational Leadership

• Lead, mentor, and grow a team of technical product managers
• Establish operating rhythms, product standards, and roadmap governance across personalization
• Foster a data-driven, experimentation-first culture across cross-functional teams
• Influence roadmaps across UX, growth, marketing, and content strategy

Measurement & Business Impact

• Define north-star metrics for ML platform success, including:
• Model deployment velocity
• System reliability and latency
• Infrastructure cost efficiency
• Developer productivity
• Ensure rigorous observability, experimentation safety, and operational excellence
• Balance long-term platform investment with near-term product acceleration
• Communicate platform impact clearly to executive stakeholders and business leadership

Industry Leadership

• Stay at the forefront of:
• Large-scale ML platforms and MLOps evolution
• Real-time inference and distributed model serving
• Foundation model…