[Remote] Senior Director, Technical Product Management, Content Engineering and Intelligence

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 the product strategy and execution for Content Engineering & Intelligence. This role involves guiding the vision for content systems, improving metadata quality, and managing workflows and services within Paramount’s global streaming ecosystem.ResponsibilitiesDefine and lead the multi-year product strategy for Content Engineering & Intelligence across Paramount+ and Pluto TVTurn company goals into scalable investments. Concentrate on metadata, content comprehension, embeddings, short-form systems, and content servicesIdentify and develop new content capabilities. These capabilities include multimodal enrichment, automated tagging, and content graph evolution. They also involve short-form asset generation and reusable content services for both internal and platform-facing usesRepresent Content Engineering & Intelligence strategy at the executive and cross-company levelBalance long-term platform investment with near-term delivery needs and measurable business impactLead product strategy for content metadata architecture, modeling, and lifecycle managementGuide product direction for feature pipelines, enrichment workflows, canonical content data systems, and internal content servicesLead product planning for embedding generation, vector pipelines, and ML-ready content datasetsCreate short-form content engineering pipelines. Develop tools and machine learning capabilities. These tools should help with content comprehension, transformation, and improvementImprove internal tooling and user experiences for teams that create, manage, validate, and operationalize content intelligencePartner with engineering and ML teams to build scalable, reliable, and cost-efficient content systemsAlign the content infrastructure with its uses. This involves several activities. These activities involve several key areas. They include discovery and ranking. They also cover search, personalization, experimentation, and improving the consumer experienceEnsure platform APIs and internal workflows are designed for adoption, usability, and scaleLead, mentor, and grow a team of technical product managersEstablish operating rhythms and product standards. Create guidelines for the plan. Set clear prioritization frameworks across Content Engineering and IntelligenceFoster a platform mindset focused on reuse, quality, documentation, operational excellence, and measurable business leverageInfluence roadmaps across personalization, search, editorial, growth, content operations, design, and AI/ML teamsHelp content engineering, applied ML, and product teams operate as a unified system rather than a collection of siloed capabilitiesDefine and track north-star metrics for Content Engineering & Intelligence success, including:Metadata completeness, quality, and freshnessPipeline reliability, latency, and operational efficiencyCoverage and quality of content embeddings and enrichmentAdoption and usability of content services and internal toolsPace of onboarding new content capabilities and surfacesThis considers how discovery and personalization are affected. It also covers short-form involvement and experimentationEnsure content systems are measurable, observable, and tied to downstream business impactTranslate system health, coverage, quality signals, and workflow pain points into clear product directionCommunicate platform impact, business outcomes, and technical tradeoffs clearly to executive stakeholdersStay updated on metadata systems and knowledge representation. Focus on multimodal AI and content knowledge. Work with embeddings and vector pipelines. Manage short workflows and internal tools. Oversee streaming infrastructure and modernize the media supply chainBring external perspective and best practices from leading streaming, media, consumer technology, and AI-driven companiesSkills10+ years of experience in product management, technical product management, or equivalent product executive team roles5+ years leading technical product areas in content platforms, metadata systems, AI/ML infrastructure, content intelligence, data platforms, or adjacent domainsExperience leading PMs or complex technical product areas across engineering, ML, data, design, operations, and business teamsHave experience in delivering large content platforms. This includes metadata systems, internal tools, data platforms, and machine learning systems. You should have this experience in streaming, media, consumer technology, or AI-focused companiesTechnical fluency across data systems, content pipelines, APIs, internal tools, metadata systems, and ML-enabled platformsExperience with content metadata systems. Knowledge of enrichment workflows and canonical metadata models. Knowledge of content identifiers, taxonomy, ontology, and content normalization methodsExperience with data pipelines. Experience with feature stores. Experience with datasets that are ready for models. Experience with batch and near-real-time architectures. Knowledge of MLOps, monitoring, and experimentation systemsFluency with data analysis workflows, including SQL, Python, telemetry, data quality signals, instrumentation, and platform health metricsExecutive communication skills, with the ability to translate technical platform work into business impact, strategic tradeoffs, and clear decision-makingAbility to align engineering, ML, design, operations, product, and business stakeholders across matrixed organizationsExperience in building or improving content intelligence capabilities. This includes personalization and recommendations. It also involves search, short-form content, content discovery, and advertising. It also involves working with other large-scale consumer AI systemsFamiliarity with embedding generation, vector-based content representation, vector databases, asset-level and title-level content intelligence systems, and downstream ML readinessExperience with applied ML systems used in content transformation, understanding, tagging, enrichment, short-form generation, or content optimizationExperience linking content systems from the beginning to systems that manage ranking, recommendation, search, personalization, experimentation, and short-form use cases at the endProduct intuition for internal tools and platform services, including adoption, usability, self-service workflows, documentation, and API designExperience balancing technical complexity, platform reuse, tooling UX, content quality, workflow efficiency, and delivery velocityHands-on technical fluency with coding tools such as Python, SQL, IDEs, GitHub, notebooks, dashboards, and developer workflowsExperience using AI-assisted development tools such as Claude Code, Gemini for developers, Cursor, or similar tools to accelerate prototyping and technical investigationYou should be able to create, evaluate, or demonstrate basic proofs of concept. These proofs should be related to metadata systems, enrichment workflows, short-form content capabilities, internal tools, and content intelligence platformsPassion for storytelling, entertainment, and building the content foundations that power the future of AI-driven streamingBenefitsMedicalDentalVision401(k) planLife insurance coverageDisability benefitsTuition assistance programPTOThis position is bonus eligibleGenerous paid time offOpportunities for both on-site and virtual engagement eventsUnique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplaceCompany 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.