[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.ResponsibilitiesDefine and lead the multi-year ML platform and infrastructure strategy supporting personalization, discovery, and content intelligenceTranslate company-level goals into scalable platform investments with clear reliability, performance, and cost outcomesIdentify and incubate next-generation ML platform capabilities, including real-time inference, foundation model enablement, and multimodal infrastructureRepresent ML platform strategy at the executive and cross-company levelEnd-to-end ML lifecycle platforms (training → deployment → monitoring → iteration)Real-time and batch inference infrastructureFeature stores, data pipelines, and offline/online consistencyExperimentation enablement and safe model rolloutDeveloper productivity, tooling, and platform APIsPartner with ML, platform, and cloud engineering to ensure scalable, reliable, secure, and cost-efficient AI systemsDrive alignment between research innovation, platform capabilities, and production readinessLead, mentor, and grow a team of technical product managersEstablish operating rhythms, product standards, and roadmap governance across personalizationFoster a data-driven, experimentation-first culture across cross-functional teamsInfluence roadmaps across UX, growth, marketing, and content strategyDefine north-star metrics for ML platform success, including: Model deployment velocity, System reliability and latency, Infrastructure cost efficiency, Developer productivityEnsure rigorous observability, experimentation safety, and operational excellenceBalance long-term platform investment with near-term product accelerationCommunicate platform impact clearly to executive stakeholders and business leadershipStay 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 architecturesBring external perspective and best practices from leading consumer technology and AI-driven platformsSkills10+ years in product management, including 5+ years leading ML platform, infrastructure, or AI-driven systemsPeople leadership of PMs or equivalent scopeDemonstrated success delivering large-scale ML platforms or distributed AI infrastructure in streaming, consumer technology, cloud platforms, or AI-first companiesDeep technical fluency across ML systems, data infrastructure, and distributed architecturesHands-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 assistantsStrong business intuition tied to velocity, reliability, and cost efficiency at scalePassion for building the technical foundations that power the future of streaming AIDeep knowledge of ML lifecycle systems, including training, deployment, monitoring, and iterationStrong understanding of real-time vs batch inference architecturesStrong understanding of feature stores and data consistencyStrong understanding of distributed systems, scalability, and reliabilityStrong understanding of cost optimization in large-scale AI environmentsExperience with MLOps platforms, orchestration, and CI/CD for MLExperience with data pipelines, streaming systems, and offline/online parityExperience with model observability, drift detection, and safe rollout strategiesExperience with cloud infrastructure and performance optimizationUnderstanding of experimentation frameworks and model evaluation in production environmentsFluency in SQL, Python, and data analysis workflowsAbility to translate system performance and telemetry into product directionProven track record defining platform strategy with measurable engineering and business impactExperience prioritizing investments across reliability, scalability, developer velocity, and costStrong executive communication and strategic storytellingExperience leading PMs or complex platform product areasAbility to align engineering, science, infrastructure, and business stakeholdersStrong influence across matrixed global organizationsDemonstrated proficiency with coding tools (e.g., Python, SQL, IDEs) and platforms (e.g., GitHub) necessary for conducting technical analysis and proof-of-concept developmentFamiliarity with leveraging AI coding assistants and modern development tools (e.g., Claude Code, Gemini for developers) to accelerate rapid prototyping and technical investigationAbility to independently create and demonstrate basic Proofs of Concept (POCs) for recommendation and personalization featuresBenefitsMedicalDentalVision401(k) planLife insurance coverageDisability benefitsTuition assistance programPTOBonus eligibleAttractive 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 OverviewParamount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. It was founded in 1914, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is https://www.paramount.com.Company H1B SponsorshipParamount has a track record of offering H1B sponsorships, with 2 in 2024. Please note that this does not guarantee sponsorship for this specific role.