Senior Director, Technical Product Management, Content Engineering and Intelligence

#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview:

WeAreParamount on a mission to unleash the power of content… you in? We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of enthusiastic people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Collectively, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

The Applied Machine Learning Group creates personalized streaming experiences. These experiences include more than just recommendations. They influence how audiences find, interact with, and enjoy content on Paramount+ and Pluto TV. We evaluate audience insights and understand content in various formats. We also use advanced machine learning. This allows us to support real-time discovery, create personalized interactions, and develop innovative short-form and interactive viewing experiences. Our work directly connects millions of viewers to the stories they love while spearheading meaningful business impact for Paramount Streaming.

We are looking for a Senior Director of Technical Product Management. This person will lead the product strategy and execution. They will also guide the direction of Content Engineering & Intelligence. This will be within Paramount’s global streaming ecosystem.

This leader will guide the vision and strategy for important content systems. They will focus on improving metadata quality and content knowledge. They will also manage the creation of embedding generation, short-form content workflows, and reusable content services for Paramount+ and Pluto TV.

This role covers several areas. It includes content metadata and feature pipelines. It also involves content data engineering, canonical content systems, and embedding and enrichment pipelines. Additionally, this role focuses on short-form content engineering workflows and machine learning capabilities. The main emphasis is on content services platforms. It aims to enhance internal user experiences and improve platform features for discovery, personalization, search, experimentation, and new AI-powered content experiences.

You will work closely with several teams, including content engineering, applied ML, platform engineering, data science, product, design, operations, and the executive team. Your goal is to ensure our content foundations are scalable and reliable. They must also support the next generation of AI-driven streaming experiences.

This is a highly strategic and deeply technical executive role responsible not only for what content systems are built, but for how content becomes a durable strategic asset across Paramount Streaming.

Primary Responsibilities:

Strategy & Vision

• 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. 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 uses.

• Represent Content Engineering & Intelligence strategy at the executive and cross-company level

• Balance long-term platform investment with near-term delivery needs and measurable business impact

Technical Product Leadership

• 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

• Create short-form content engineering pipelines. Develop tools and machine learning capabilities. These tools should help with content comprehension, transformation, and improvement.

• Improve internal tooling and user experiences for teams that create, manage, validate, and operationalize content intelligence

• Partner with engineering and ML teams to build scalable, reliable, and cost-efficient content systems

• Align 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 experience.

• Ensure platform APIs and internal workflows are designed for adoption, usability, and scale

Organizational Leadership

• Lead, mentor, and grow a team of technical product managers

• Establish operating rhythms and product standards. Create guidelines for the plan. Set clear prioritization frameworks across Content Engineering and Intelligence.

• Foster a platform mindset focused on reuse, quality, documentation, operational excellence, and measurable business leverage

• Influence roadmaps across personalization, search, editorial, growth, content operations, design, and AI/ML teams

• Help content engineering, applied ML, and product teams operate as a unified system rather than a collection of siloed capabilities

Measurement & Business Impact

• Define and track north-star metrics for Content Engineering & Intelligence success, including:

• Metadata completeness, quality, and freshness

• Pipeline reliability, latency, and operational efficiency

• Coverage and quality of content embeddings and enrichment

• Adoption and usability of content services and internal tools

• Pace of onboarding new content capabilities and surfaces

• This considers how discovery and personalization are affected. It also covers short-form involvement and experimentation.

• Ensure content systems are measurable, observable, and tied to downstream business impact

• Translate system health, coverage, quality signals, and workflow pain points into clear product direction

• Communicate platform impact, business outcomes, and technical tradeoffs clearly to executive stakeholders

Industry Leadership

• Stay 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 chain.

• Bring external perspective and best practices from leading streaming, media, consumer technology, and AI-driven companies

• Help shape how Paramount Streaming builds, scales, and applies content intelligence across future AI-driven experiences

Basic Qualifications:

• 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. You should have this experience in streaming, media, consumer technology, or AI-focused companies.

• 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.

• Fluency with data analysis workflows, including SQL, Python, telemetry, data quality signals, instrumentation, and platform health metrics

• Executive communication skills, with the ability to translate technical platform work into business impact, strategic tradeoffs, and clear decision-making

• Ability to align engineering, ML, design, operations, product, and business stakeholders across matrixed organizations

Preferred Qualifications:

• Experience 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 systems.

• Familiarity with embedding generation, vector-based content representation, vector databases, asset-level and title-level content intelligence systems, and downstream ML readiness

• Experience with applied ML systems used in content transformation, understanding , tagging, enrichment, short-form generation, or content optimization

• Experience linking content systems from the beginning to systems that manage ranking, recommendation, search, personalization, experimentation, and short-form use cases at the end.

• Product intuition for internal tools and platform services, including adoption, usability, self-service workflows, documentation, and API design

• Experience balancing technical complexity, platform reuse, tooling UX, content quality, workflow efficiency, and delivery velocity

• Hands-on technical fluency with coding tools such as Python, SQL, IDEs, GitHub, notebooks, dashboards, and developer workflows

• Experience using AI-assisted development tools such as Claude Code, Gemini for developers, Cursor, or similar tools to accelerate prototyping and technical investigation

• You 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 platforms.

• Passion for storytelling, entertainment, and building the content foundations that power the future of AI-driven streaming

#LI-PV1

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.

ADDITIONAL INFORMATION

Hiring Salary Range: $203,000.00 - 255,000.00. 

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.  The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable,  as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.  

What We Offer:

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here:
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• 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.
• Explore life at Paramount:

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on careers.paramount.com or by sending an email to View email address on careers.paramount.com. Only messages left for this purpose will be returned.