Senior Director, Technical Product Management, Content Engineering and Intelligence

Content Marketing ManagerContent Marketing ManagerFull TimeRemoteSeniorTeam 10,001+Since 1912H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | New York

Posted

35 days ago

Salary

$203K - $255K / year

Seniority

Senior

Bachelor Degree10 yrs expEnglish

Job Description

Senior Director, Technical Product Management, Content Engineering and Intelligence

Paramount

• Define and lead the multi-year product strategy for Content Engineering & Intelligence across Paramount+ and Pluto TV • Turn company goals into scalable investments. Concentrate on metadata, content comprehension, embeddings, short-form systems, and content services. • Identify and develop new content capabilities, such as multimodal enrichment, automated tagging, and content graph evolution. • Represent Content Engineering & Intelligence strategy at the executive and cross-company level • Lead product strategy for content metadata architecture, modeling, and lifecycle management • Guide product direction for feature pipelines, enrichment workflows, canonical content data systems, and internal content services • Lead product planning for embedding generation, vector pipelines, and ML-ready content datasets • Partner with engineering and ML teams to build scalable, reliable, and cost-efficient content systems • Define and track north-star metrics for Content Engineering & Intelligence success

Job Requirements

  • 10+ years of experience in product management, technical product management, or equivalent product executive team roles
  • 5+ years leading technical product areas in content platforms, metadata systems, AI/ML infrastructure, content intelligence, data platforms, or adjacent domains
  • Experience leading PMs or complex technical product areas across engineering, ML, data, design, operations, and business teams
  • Have experience in delivering large content platforms. This includes metadata systems, internal tools, data platforms, and machine learning systems.
  • Technical fluency across data systems, content pipelines, APIs, internal tools, metadata systems, and ML-enabled platforms
  • Experience with content metadata systems. Knowledge of enrichment workflows and canonical metadata models.
  • Knowledge of content identifiers, taxonomy, ontology, and content normalization methods.
  • Experience 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 systems.
  • Executive communication skills.
  • Ability to align engineering, ML, design, operations, product, and business stakeholders across matrixed organizations.

Benefits

  • medical
  • dental
  • vision
  • 401(k) plan
  • life insurance coverage
  • disability benefits
  • tuition assistance program
  • PTO

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