Senior Director, Technical Product Management - ML Platform & Infrastructure
$213.36k - $320.04kParamount
#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: The Applied Machine Learning Group creates personalized streaming experiences that go beyond recommendations, shaping how audiences discover, engage with, and experience content across Paramount+ and Pluto TV. Through deep audience intelligence, multimodal content understanding, and advanced machine learning, we power real-time discovery, personalized engagement, and next-generation short-form and interactive viewing experiences. Our work directly connects millions of viewers to the stories they love while driving meaningful business impact for Paramount Streaming. Role Overview We are seeking a Senior Director of Technical Product Management to lead product strategy, execution, and organizational direction for the machine learning platform and infrastructure that powers personalization, content intelligence, and AI-driven streaming experiences across Paramount’s global ecosystem. This leader will own the vision, roadmap, and measurable impact of foundational ML capabilities, spanning:
- Model training, evaluation, and lifecycle management
- Real-time and batch model serving infrastructure
- Feature stores, data pipelines, and ML data platforms
- Runtime systems, integrations, and developer toolin
- Reliability, scalability, latency, and cost efficiency of AI systems
- Real-time and batch inference infrastructure
- Feature stores, data pipelines, and offline/online consistency
- Experimentation enablement and safe model rollout
- Developer productivity, tooling, and platform APIs
- Partner with ML, platform, and cloud engineering to ensure scalable,
- Lead, mentor, and grow a team of technical product managers
- Establish operating rhythms, product standards, and roadmap governance
- Define north-star metrics for ML platform success, including:
- Model deployment velocity
- System reliability and latency
- Infrastructure cost efficiency
- Developer productivity
- Ensure rigorous observability, experimentation safety, and operational
- Balance long-term platform investment with near-term product acceleration
- Communicate platform impact clearly to executive stakeholders and business
- Large-scale ML platforms and MLOps evolution
- Real-time inference and distributed model serving
- Foundation model infrastructure and multimodal systems
- Cloud-native and hybrid AI architectures
- Bring external perspective and best practices from leading consumer
- Real-time vs batch inference architectures
- Feature stores and data consistency
- Distributed systems, scalability, and reliability
- Cost optimization in large-scale AI environments
- MLOps platforms, orchestration, and CI/CD for ML
- Data pipelines, streaming systems, and offline/online parity
- Model observability, drift detection, and safe rollout strategies
- Cloud infrastructure and performance optimization
- Fluency in SQL, Python, and data analysis workflows
- Ability to translate system performance and telemetry into product direction
- Experience leading PMs or complex platform product areas
- Ability to align engineering, science, infrastructure, and business
- 10+ years in product management, including
- 5+ years leading ML platform, infrastructure, or AI-driven systems
- People leadership of PMs or equivalent scope
- Demonstrated success delivering large-scale ML platforms or distributed
- Streaming, consumer technology, cloud platforms, or AI-first companies
- Deep technical fluency across ML systems, data infrastructure, and
- Work alongside world-class ML engineers, platform architects, and researchers
- Influence company-level AI infrastructure strategy and long-term platform
AMLG
#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: $213,360.00 - 320,040.00. 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
- Opportunities for both on-site and virtual engagement events.
- Unique opportunities to make meaningful connections and build a vibrant
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