Senior Director, Technical Product Management - ML Platform & Infrastructure
New York, NY, US, 10036 San Francisco, CA, US, 94107
#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.
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Define and lead the strategy for our ML platform and infrastructure. This plan will span multiple years. It will support personalization, discovery, content intelligence, and new AI-driven streaming experiences.
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Translate company objectives into scalable platform investments with clear reliability, performance, developer velocity, and cost outcomes
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Identify new capabilities for the machine learning platform. This includes real-time inference. It also covers enabling foundation models, multimodal systems, and hybrid AI architectures.
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Represent ML platform strategy at the executive and cross-company level
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Balance long-term platform investment with near-term product acceleration and measurable business impact
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Lead product strategy for end-to-end ML lifecycle capabilities, including training, deployment, monitoring, iteration, and model governance
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Drive roadmap and prioritization for real-time and batch inference infrastructure
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Lead product direction for feature stores, ML data platforms, data pipelines, and offline/online consistency frameworks
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Enable experimentation platforms, model evaluation workflows, and safe rollout practices for AI and ML systems
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We aim to improve developer productivity. We will do this using platform APIs, tools, abstractions, documentation, and self-service capabilities.
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Partner with ML, platform, data, and cloud engineering teams to build scalable, reliable, secure, and cost-efficient AI systems
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Drive alignment between research innovation, platform capabilities, production readiness, and business outcomes
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Ensure platform decisions improve personalization. They should also aid in content intelligence, search, short-form content, experimentation, and future AI-powered product experiences.
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Lead, mentor, and grow a team of technical product managers
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Establish operating rhythms, product standards, roadmap governance, and clear prioritization frameworks
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Foster a data-driven, experimentation-first culture across product, engineering, data science, and analytics teams
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Influence roadmaps for different teams. These teams include personalization, UX, growth, marketing, content strategy, and platform engineering.
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Build effective partnerships across matrixed global organizations and help teams operate from a shared technical and product strategy
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Define and track north-star metrics for ML platform success, including:
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Model deployment velocity
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System reliability, latency, and availability
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Infrastructure cost efficiency
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Developer productivity and platform adoption
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Time from model development to production impact
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Ensure good visibility. Focus on safety during experiments. Monitor the models. Keep high operational standards.
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Translate platform performance, telemetry, and developer feedback into clear product direction
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Communicate technical strategy, tradeoffs, platform health, and business impact clearly to executive stakeholders
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Stay at the forefront of large-scale machine learning platforms. Focus on MLOps, real-time inference, and distributed model serving. Work with infrastructure for foundation models, multimodal AI systems, and cloud-native AI architectures.
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Bring external perspective and best practices from leading consumer technology, streaming, cloud, and AI-driven organizations
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Help shape how Paramount Streaming builds, scales, and operates the technical foundations for applied AI
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10+ years of experience in product management, technical product management, or equivalent product executive team roles
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5+ years leading ML platform, infrastructure, MLOps, data platform, or AI-driven systems
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Experience leading PMs or leading complex platform product areas across multiple engineering and science teams
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Experience delivering large-scale machine learning platforms. This includes distributed AI infrastructure, data platforms, or developer platforms. Relevant industries are streaming, consumer technology, cloud platforms, or AI-first companies.
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Technical fluency across ML lifecycle systems, data infrastructure, distributed systems, model serving, and production AI architectures
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Experience with real-time and batch inference architectures. Knowledge of feature stores, data consistency, and scalability. Understand reliability. Understand cost optimization.
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Experience with MLOps platforms, orchestration, CI/CD for ML, model observability, drift detection, and safe deployment practices
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Fluency with data analysis workflows, including SQL, Python, telemetry, experimentation data, and platform health metrics
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Executive communication skills, with the ability to translate technical platform work into business impact, strategic tradeoffs, and clear decision-making
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Proven ability to align engineering, data science, infrastructure, product, and business stakeholders across matrixed organizations
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Experience in building or improving machine learning platforms. This includes skills in personalization, recommendations, search, content intelligence, advertising, or other large consumer AI systems.
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Experience with real-time personalization systems. Experience with online feature serving. Experience with model serving infrastructure. Experience with experimentation platforms. Experience with decisioning systems.
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You should understand foundation model infrastructure and multimodal AI systems. It is also important to have experience with vector pipelines, embeddings, and new AI application architectures.
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Experience balancing platform reliability, developer velocity, infrastructure cost, and product impact at global scale
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Hands-on technical fluency with coding tools such as Python, SQL, IDEs, GitHub, notebooks, dashboards, and developer workflows
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Experience using AI-assisted development tools such as Claude Code, Gemini for developers, Cursor, or similar tools to accelerate prototyping and technical investigation
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Ability to individually create, evaluate, or demonstrate basic proofs of concept for ML platform, recommendation, personalization, or AI infrastructure ideas
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Understand how internal developer platforms function. Focus on adoption and usability. Promote self-service workflows. Ensure the documentation and design of platform APIs are clear.
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Affinity for building the technical foundations that power the future of streaming, personalization, and AI-driven entertainment
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.
- Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
- 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: https://www.paramount.com/careers/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 https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City