Senior Director, Technical Product Management, Content Engineering and Intelligence

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Develop and oversee the long-term product strategy for Content Engineering & Intelligence across Paramount+ and Pluto TV.

• Transform company objectives into scalable investments, focusing on metadata, content comprehension, embeddings, short-form systems, and content services.

• Identify and create new content capabilities, including multimodal enrichment, automated tagging, and the evolution of content graphs.

• Represent the Content Engineering & Intelligence strategy at the executive level and across the company.

• Direct product strategy for content metadata architecture, modeling, and lifecycle management.

• Steer product direction for feature pipelines, enrichment workflows, canonical content data systems, and internal content services.

• Oversee product planning for embedding generation, vector pipelines, and machine learning-ready content datasets.

• Collaborate with engineering and machine learning teams to develop scalable, reliable, and cost-effective content systems.

• Establish and monitor north-star metrics to assess the success of Content Engineering & Intelligence.

⛳️ Requirements

• A minimum of 10 years of experience in product management, technical product management, or similar executive product roles.

• At least 5 years of experience leading technical product domains within content platforms, metadata systems, AI/ML infrastructure, content intelligence, data platforms, or related fields.

• Proven experience in leading product managers or complex technical product areas across engineering, machine learning, data, design, operations, and business teams.

• Background in delivering large-scale content platforms, including metadata systems, internal tools, data platforms, and machine learning systems.

• Technical proficiency in data systems, content pipelines, APIs, internal tools, metadata systems, and ML-enabled platforms.

• Experience with content metadata systems, including knowledge of enrichment workflows and canonical metadata models.

• Familiarity with content identifiers, taxonomy, ontology, and methods for content normalization.

• Experience in data pipelines and feature stores.

• Proficient in working with datasets that are prepared for models.

• Experience with both batch and near-real-time architectures.

• Knowledge of MLOps, monitoring, and experimentation systems.

• Strong executive communication skills.

• Ability to align engineering, machine learning, design, operations, product, and business stakeholders across matrixed organizations.

🏝️ Benefits

• Medical coverage

• Dental insurance

• Vision coverage

• 401(k) plan

• Life insurance

• Disability benefits

• Tuition assistance program

• Paid time off (PTO)