[Remote] Senior Director, Technical Product Management - ML Platform & Infrastructure

Note: The job is a remote job and is open to candidates in USA. Paramount is on a mission to unleash the power of content, and they are seeking a Senior Director of Technical Product Management to lead product strategy for the machine learning platform and infrastructure. This role involves overseeing the vision, roadmap, and impact of ML capabilities that enhance personalization and content intelligence across Paramount’s services.

Responsibilities

• 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)
• 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
• 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: 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
• 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

Skills

• 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
• Deep knowledge of ML lifecycle systems, including training, deployment, monitoring, and iteration
• Strong understanding of real-time vs batch inference architectures
• Strong understanding of feature stores and data consistency
• Strong understanding of distributed systems, scalability, and reliability
• Strong understanding of cost optimization in large-scale AI environments
• Experience with MLOps platforms, orchestration, and CI/CD for ML
• Experience with data pipelines, streaming systems, and offline/online parity
• Experience with model observability, drift detection, and safe rollout strategies
• Experience with cloud infrastructure and performance optimization
• 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
• 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
• Experience leading PMs or complex platform product areas
• Ability to align engineering, science, infrastructure, and business stakeholders
• Strong influence across matrixed global organizations
• 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

Benefits

• Medical
• Dental
• Vision
• 401(k) plan
• Life insurance coverage
• Disability benefits
• Tuition assistance program
• PTO
• Bonus eligible
• Attractive compensation and comprehensive benefits packages.
• Generous paid time off.
• 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.

Company Overview

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