Paramount

Machine Learning Engineer

• Contribute to the design and development of personalization in the Paramount+ sign-up flow and Pluto TV registration experiences
• Build and maintain end-to-end machine learning pipelines, including data processing, feature engineering, model training, deployment, and monitoring
• Partner with product, design, content, platform engineering, and data science teams to deliver measurable user outcomes
• Support the development of semantic search and browse experiences using embeddings, query understanding, and domain-specific model architectures
• Apply experimentation best practices, including A/B testing and offline evaluation, to inform model and feature improvements
• Collaborate with and learn from senior engineers and scientists, contributing to a strong and growing Applied ML culture

Data Engineer

• The Senior Data Engineer should possess a deep sense of curiosity and a passion for building data pipelines, data structures and data products and the ability to communicate data structures and tools throughout the Paramount Digital Media organization.
• The candidate for this role will use their skills in reverse engineering, analytics, and creative, experimental solutions to devise data and BI solutions.
• They will have experience supporting data pipeline development, which includes machine learning algorithms using disparate data sources.
• They will work closely with BI, Research, Engineering, Marketing, Finance, and Product teams to implement data-driven plans that drive the business.
• They will also be able to lead a project from inception to completion, as well as help mentor junior members of the team on standard processes and approaches around data.

Senior Data Engineer

Manager

• Help shape sales proposals by providing input on product mix, inventory availability, and pricing.
• Monitor and optimize active campaigns.
• Provide ad hoc reporting to senior management.
• Work with client services, integrated marketing, and ad operations to inform product strategy.
• Streamline business processes to mitigate problems that lead to revenue losses.
• Develop go-to-market pricing and inventory strategy.
• Stay informed of marketplace trends and apply learnings to strategy.
• Develop new and effective ways to monitor and report on highly complex digital media inventory.
• Test and implement creative strategies to optimize the performance of client-specific campaigns.
• Dive deep into our data to discover potential revenue opportunities, diagnose revenue-impacting issues and provide recommendations to senior leaders.
• Partner with teams across the company to provide analysis that will impact the way our key brands look, function, and generate revenue.
• Build, maintain and enhance our ad sales financial models as our business evolves.

Yield Manager, Yield Analytics

Designer

• Design compelling book covers, interiors, and supporting materials across a variety of formats and age categories
• Collaborate with editorial, franchise/licensing, and production teams throughout the development process
• Work with illustrators, photographers, and external creative partners to bring projects to life
• Prepare files for print and digital publishing formats
• Contribute to the development of visual systems, templates, and design guidelines that support brand consistency
• Manage multiple projects simultaneously while meeting deadlines and production schedules

Designer, Publishing

Analyst

• Conduct deep-dive analyses to generate insights that inform content strategy, product experience, and growth initiatives
• Design and operationalize frameworks and models that link user activity (content consumption, platform usage) to downstream subscriber lifecycle outcomes
• Identify churn improvement opportunities and risk areas through proactive analysis
• Translate complex analytical findings into clear, compelling narratives for executive leadership and cross-functional stakeholders
• Deliver fast, ad-hoc analyses to address evolving business needs and priorities
• Partner with our Research team to integrate qualitative knowledge with quantitative models and metrics
• Partner closely with Data Engineering to design scalable pipelines, data models, and dashboards
• Integrate AI-driven tools and automation into daily workflows to enhance efficiency, scale reporting, and unlock deeper performance insights

Senior Analyst, User Lifecycle Analytics

Program Manager

• Manage the development and improvement of AI-driven platforms, systems, and capabilities.
• Oversee a portfolio of AI/ML investments.
• Lead a team of senior program management leaders.
• Serve as a trusted advisor to executive stakeholders.
• Partner to establish and track portfolio‑level success metrics.

Senior Director, Technical Program Management – AI/ML

Platform Engineer

• Design and implement our greenfield ML platform 10Xing the Data Science team’s impact
• Work closely with Data Scientists to understand their development needs
• Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
• Assess and integrate cutting-edge software and practices in Data Science and MLOps.
• Refactor disjointed data science scripts and workflows into modular 'skills'

ML Platform Engineer

Social Media Manager

• Be embedded within the Golazo Network production unit in Stamford, participating in daily production meetings and live studio workflows.
• Serve as the social point of contact for studio shows, working closely with producers and talent to identify, clip, and distribute real-time moments that resonate on social.
• Create and publish platform-specific content from live shows, matches, and breaking news, including elevated vertical edits, behind-the-scenes content, and quick-turn graphics.
• Track social performance, identify trends and standout moments, and share insights with studio producers to help inform future topics and segments.
• Collaborate with the wider Golazo social team to ensure studio content aligns with overall brand voice and strategy.

Social Media Producer

Account Manager

• Partner with sales to build client relationships while also helping the team upsell & renew business
• Ensure continuity and success across pre-and post-sale activities - own the entire deal flow & manage its success
• Manage a team of Sales Associates, assisting them with pre and post-sale processes.
• Manage sponsorship opportunities within the internal system from start to finish.
• Join and participate on sales calls with Account Executives (in-person and virtually)
• Work with Marketing, Research, ad Promotion Departments to develop tailored sales presentations.
• Work closely with convergent teams to expand business across all platforms

Growth Marketing

• Lead the strategic narrative and business positioning for Paramount’s advertising business as part of the Revenue Operations organization supporting Paramount Ad Sales
• Partner across Sales, Marketing, Finance, Investor Relations, and Business Intelligence to translate business performance into clear, compelling insights
• Help define how the advertising business is positioned internally and externally across strategic initiatives, board materials, earnings support, Upfront strategy, and key stakeholder communications
• Identify growth opportunities, evaluate market dynamics, and help shape the long-term monetization strategy across linear, streaming, and digital
• Ensure consistency of storytelling and strategic alignment across internal and external communications
• Develop strategic frameworks and recommendations to support monetization, pricing, packaging, and go-to-market decisions
• Monitor industry trends, competitive positioning, and marketplace dynamics to inform executive decision-making
• Build and lead a high-performing strategy function that partners effectively across Revenue Operations and Ad Sales leadership

SVP, Ad Sales Growth Strategy

Full-stack Engineer

• Implement and maintain features for tvOS and iOS applications with a focus on performance and user experience.
• Write clear, maintainable Swift code that aligns with team conventions and platform best practices.
• Collaborate with product, design, and backend engineering teams to refine requirements and deliver robust solutions.
• Debug issues across the stack—from UI edge cases to data integration—and contribute fixes that improve app stability.
• Participate in architectural discussions and follow established patterns for consistency and scalability.
• Stay current with iOS platform updates and apply relevant improvements to the codebase as needed.
• Review peer code for quality, readability, and adherence to standards, contributing to team knowledge-sharing.
• Ensure accessibility and localization considerations are applied throughout development.
• Work within an Agile environment to prioritize tasks, communicate progress, and deliver updates incrementally.

Senior Software Engineer

Editor

• Acquire new projects and shape editorial strategy for both vertical and licensed titles
• Dialogue with authors, illustrators, and agents
• In-house writing
• Edit manuscripts for a robust list including storybooks, chapter books, beginning readers, coloring and activity, educational, non-fiction, and novelty titles
• Work with art department to review sketches, final art, and cover design
• Manage multiple projects and meet ambitious deadlines
• Oversee title P&Ls
• Cultivate, foster, and maintain relationships with licensees and internal stakeholders
• Interact with TV, film, franchise, animation, consumer products, and brand teams
• Review marketing and publicity materials

Senior Editor, Children's – Global Publishing

• Own ML production reliability strategy
• Define and lead the operational strategy for production ML systems, including monitoring, traceability, deployment safety, incident response, and post-deployment validation.
• Set the standards ML teams use to assess model health, performance, and trustworthiness in production.
• Own model traceability and governance
• Ensure every production model has clear lineage (data, features, code, artifacts, validation, deployment history) and drive adoption of model registry and metadata tooling across ML teams.
• Build end-to-end ML observability
• Design and implement monitoring across the full ML signal path: data arrival, feature freshness, distribution stability, candidate generation, ranking behavior, model metrics, serving latency, and SLA performance.
• Define production health metrics
• Partner with ML, data, product, and business stakeholders to define post-deployment metrics covering model quality, system reliability, business guardrails, and degradation indicators.
• Detect drift and degradation proactively
• Detect data drift, feature drift, model behavior changes, and silent failures before they impact customers via thresholding, alerting, anomaly detection, and release-over-release monitoring.
• Lead diagnostic tooling and root-cause analysis
• Build dashboards, logs, and diagnostic workflows that progress quickly from “recommendations look off” to root cause, with context captured across candidates, features, scores, ranking decisions, and downstream outcomes.
• Own ML deployment safety
• Define and operate automated gates that prevent bad models or bad data from being promoted to production.
• Partner with MLEs to establish validation checks, rollback criteria, canary strategies, shadow testing, and release health reviews.
• Lead ML incident response
• Own incident response practices for ML systems, including rollback playbooks, hotfix strategies, severity definitions, tradeoff frameworks, communications, and post-mortems.
• Drive closure of systemic gaps after incidents rather than only resolving the immediate issue.
• Partner across ML Platform, Data, and ML
• Partner with DevOps/Platform on infrastructure and observability needs; with Data Engineering on data quality, drift, and freshness; and with ML Engineering to embed operational requirements into development and deployment workflows.
• Set standards and mentor others
• Act as the technical lead for ML operations: establish reusable patterns, playbooks, and standards, and mentor engineers on reliability, observability, and operational rigor.

Lead Machine Learning Operations Engineer

Producer

• Write, produce, and edit brand-aligned, daily marketing messages
• Populate all station platforms with content
• Find the most human part of every story and build content around it
• Attend and contribute to weekly story meetings, brainstorms, and team huddles
• Turn newsroom moments into external marketing content
• Write, produce, and edit for all screens
• Attend station promotions and brand activations at events across the region

Brand Content Producer

Marketing

• Direct the overarching strategy for "Paramount Takeovers" across the U.S. retail landscape
• Ensure global beats for major franchises are localized and executed with consistency across all account-specific teams
• Partner with the Retail Sales organization to develop future-focused Joint Business Planning (JBP)
• Lead executive-level presentations to retail buyers to secure exclusive cross-category statements and premium placements
• Lead comprehensive marketing plans inclusive of in-store, e-commerce, and Retail Media Networks (RMNs)
• Integrate Paramount+ into the shopper journey through high-value bundles (e.g., Walmart+ or Amazon Prime)
• Champion "First-to-Market" retail experiences, including livestream commerce, AR-driven in-store activations, and experiential pop-ups to differentiate brands at the point-of-purchase
• Act as the internal "Voice of the Retailer," ensuring retailer needs and insights are integrated into brand strategies
• Navigate a complex matrix (Studio, Licensing, and Ad Sales) to ensure retail mandates are fully adopted
• Develop measurable frameworks and dashboards to optimize programs using A/B testing, ROI metrics, and consumer insights
• Own the total U.S. Retail Marketing budget, including tracking, reconciliation, and ROI-based allocation
• Lead agency briefing and creative oversight to ensure all elements meet brand and legal guidelines
• Build and mentor a high-performing team by setting clear KPIs and fostering a culture of creativity, accountability, and inclusivity