Senior Director, Technical Product Management - ML Platform & Infrastructure

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:

- 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.

- 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

- End-to-end ML lifecycle platforms (training → deployment → monitoring → iteration)

- Feature stores, data pipelines, and offline/online consistency

- 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

- 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

- Define north-star metrics for ML platform success, including:

- 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

- Bring external perspective and best practices from leading consumer technology and AI-driven platforms.

- Deep knowledge of ML lifecycle systems, including training, deployment, monitoring, and iteration

- Data pipelines, streaming systems, and offline/online parity

- Model observability, drift detection, and safe rollout strategies

- Understanding of experimentation frameworks and model evaluation in production environments

- Ability to translate system performance and telemetry into product direction

- Proven track record defining platform strategy with measurable engineering and business impact

- Experience prioritizing investments across reliability, scalability, developer velocity, and cost

- Ability to align engineering, science, infrastructure, and business stakeholders

- Demonstrated proficiency with coding tools (e.g., Python, SQL, IDEs) and platforms (e.g., GitHub) necessary for conducting technical analysis and proof-of-concept development.

- Familiarity with leveraging AI coding assistants and modern development tools (e.g., Claude Code, Gemini for developers) to accelerate rapid prototyping and technical investigation.

- Ability to independently create and demonstrate basic Proofs of Concept (POCs) for recommendation and personalization features.

- 5+ years leading ML platform, infrastructure, or AI-driven systems

- Demonstrated success delivering large-scale ML platforms or distributed AI infrastructure in:

- Streaming, consumer technology, cloud platforms, or AI-first companies

- Deep technical fluency across ML systems, data infrastructure, and distributed architectures

- Hands-on technical fluency to the point of being able to develop basic Proofs of Concept (POCs) and prototypes for new product ideas, utilizing modern coding tools and AI development assistants.

- Strong business intuition tied to velocity, reliability, and cost efficiency at scale

- Passion for building the technical foundations that power the future of streaming AI

- Architect the ML platform powering personalization for millions of global viewers

- Enable the next generation of AI-driven streaming experiences across Paramount+ and Pluto TV

- Work alongside world-class ML engineers, platform architects, and researchers

- Influence company-level AI infrastructure strategy and long-term platform evolution

- Build and scale a high-impact technical product organization at the core of AMLG

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels.

Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME.

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.

This position is bonus eligible.