Senior Director, Technical Product Management - ML Platform & Infrastructure

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Overview:

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 toolin
• 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.

Key Responsibilities

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 infrastructure and multimodal systems
  • Cloud-native and hybrid AI architectures
• Bring external perspective and best practices from leading consumer technology and AI-driven platforms.

Required Expertise

ML Platforms & Infrastructure

• Deep knowledge of ML lifecycle systems, including training, deployment, monitoring, and iteration
• Strong understanding of:
  • Real-time vs batch inference architectures
  • Feature stores and data consistency
  • Distributed systems, scalability, and reliability
  • Cost optimization in large-scale AI environments

AI/ML Engineering Ecosystem

• Experience with:
  • MLOps platforms, orchestration, and CI/CD for ML
  • Data pipelines, streaming systems, and offline/online parity
  • Model observability, drift detection, and safe rollout strategies
  • Cloud infrastructure and performance optimization

Data, Experimentation & Analytics

• Understanding of experimentation frameworks and model evaluation in production environments
• Fluency in SQL, Python, and data analysis workflows
• Ability to translate system performance and telemetry into product direction

Product & Business Leadership

• Proven track record defining platform strategy with measurable engineering and business impact
• Experience prioritizing investments across reliability, scalability, developer velocity, and cost
• Strong executive communication and strategic storytelling

Leadership & Collaboration

• Experience leading PMs or complex platform product areas
• Ability to align engineering, science, infrastructure, and business stakeholders
• Strong influence across matrixed global organizations

Technical Prototyping & Tools

• 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.

What You Bring

• 10+ years in product management, including
  • 5+ years leading ML platform, infrastructure, or AI-driven systems
  • People leadership of PMs or equivalent scope
• 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

Why Join Us

• 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

#LI-PV1

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®.

ADDITIONAL INFORMATION

Hiring Salary Range: $203,200.00 - 304,800.00.

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.

What We Offer:

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here:
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
• Explore life at Paramount:

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on us.fitly.work or by sending an email to View email address on us.fitly.work. Only messages left for this purpose will be returned.