Senior Director, Technical Product Management - ML Platform & Infrastructure

Senior Director, Technical Product Management – ML Platform & Infrastructure

45450

General Business

New York

Full-Time

Fully Remote

The Applied Machine Learning Group creates personalized streaming experiences. These experiences do more than just provide recommendations. They transform how audiences find, interact with, and enjoy content on Paramount+ and Pluto TV. We offer real‑time discovery and personalized participation. We improve viewing experiences with advanced short‑form and interactive content. This is possible because of our deep audience insights, understanding of different content types, and advanced machine learning.

Our work directly connects millions of viewers to the stories they love while leading meaningful business impact for Paramount Streaming.

Define and lead the strategy for our ML platform and infrastructure. This plan will span multiple years. It will support personalization, discovery, content intelligence, and new AI‑driven streaming experiences.

Translate company objectives into scalable platform investments with clear reliability, performance, developer velocity, and cost outcomes.

Identify new capabilities for the machine learning platform. This includes real‑time inference. It also covers enabling foundation models, multimodal systems, and hybrid AI architectures.

Represent ML platform strategy at the executive and cross‑company level.

Balance long‑term platform investment with near‑term product acceleration and measurable business impact.

Lead product strategy for end‑to‑end ML lifecycle capabilities, including training, deployment, monitoring, iteration, and model governance.

Drive roadmap and prioritization for real‑time and batch inference infrastructure.

Lead product direction for feature stores, ML data platforms, data pipelines, and offline/online consistency frameworks.

Enable experimentation platforms, model evaluation workflows, and safe rollout practices for AI and ML systems.

We aim to improve developer productivity. We will do this using platform APIs, tools, abstractions, documentation, and self‑service capabilities.

Partner with ML, platform, data, and cloud engineering teams to build scalable, reliable, secure, and cost‑efficient AI systems.

Drive alignment between research innovation, platform capabilities, production readiness, and business outcomes.

Ensure platform decisions improve personalization. They should also aid in content intelligence, search, short‑form content, experimentation, and future AI‑powered product experiences.

Lead, mentor, and grow a team of technical product managers.

Establish operating rhythms, product standards, roadmap governance, and clear prioritization frameworks.

Foster a data‑driven, experimentation‑first culture across product, engineering, data science, and analytics teams.

Influence roadmaps for different teams. These teams include personalization, UX, growth, marketing, content strategy, and platform engineering.

Build effective partnerships across matrixed global organizations and help teams operate from a shared technical and product strategy.

Define and track north‑star metrics for ML platform success, including:

• System reliability, latency, and availability.
• Infrastructure cost efficiency.
• Developer productivity and platform adoption.
• Time from model development to production impact.

Ensure good visibility. Focus on safety during experiments. Monitor the models. Keep high operational standards.

Translate platform performance, telemetry, and developer feedback into clear product direction.

Communicate technical strategy, tradeoffs, platform health, and business impact clearly to executive stakeholders.

Stay at the forefront of large‑scale machine learning platforms. Focus on MLOps, real‑time inference, and distributed model serving. Work with infrastructure for foundation models, multimodal AI systems, and cloud‑native AI architectures.

Bring external perspective and best practices from leading consumer technology, streaming, cloud, and AI‑driven organizations.

Help shape how Paramount Streaming builds,…