Paramount

Analyst

• Support the identification, investigation, and resolution of data discrepancies across marketing platform data sources including Meta, Google, TikTok, and others
• Monitor data pipelines for anomalies, failures, and latency issues; escalate and help address incidents in a timely manner
• Write and maintain SQL-based queries and transformation logic to support consistent marketing data across reporting layers
• Assist with orchestration workflows using tools such as Apache Airflow, including helping to diagnose DAG failures and flag scheduling issues
• Develop and maintain Python scripts to support data quality checks, recurring ingestion processes, and operational automation
• Use GitHub for version control and collaborate with teammates on code reviews and deployment of data logic updates
• Work within development environments including Visual Studio Code and Cursor to build, test, and iterate on data and automation workflows
• Actively incorporate and help develop AI-assisted workflows leveraging tools like Claude to support day-to-day tasks: writing and debugging code, drafting documentation, and accelerating data investigations
• Support broader AI initiatives and projects across the team as needs evolve
• Maintain clear documentation of pipelines, data definitions, and troubleshooting processes to support team continuity
• Partner with marketing analysts and reporting teams to understand data needs and surface issues that may impact downstream reporting
• Support ad hoc data investigations and analyses as needed

Content Writer

• Produce daily newscasts and fill-in, when needed, on Newscasts & Cut-Ins
• Craft compelling news stories using words, pictures, sound, and graphics
• Excellent writing skills and copy-editing ability needed
• Work closely with producers and managers in the control room with the ability to add to the editorial process in a breaking and live news environment
• Build a compelling newscast with high production value in a competitive environment
• Generate story ideas and actively participate in editorial meetings
• Exhibit strong editorial judgment, effective communication, and critical thinking skills
• Understand & use multi-platform tools such as social media & our OTT platforms to reach viewers and deliver news
• Other duties and projects as assigned

Newswriter/Producer

Producer

• Help lead and communicate coverage during breaking news, with the focus on accuracy, urgency, and balance
• Monitor law enforcement, fire, and official social media communications, and make “beat-checks” to determine story coverage
• Understand and support our brand of Covering Colorado First, which requires identifying stories that impact the community
• Create and edit engaging and creative content for digital platforms
• Guide newsroom logistics and provide editorial support for MSJs, producers, and photojournalists
• Edit reporter content for accuracy, grammar, AP style, digital best practices, fairness, and ethical considerations
• Identify and generate stories that will create a buzz
• Available to work nights, weekends, and early mornings

Digital Producer – Assignment Desk Editor

Backend Engineer

• Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework.
• Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web.
• Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration.

Software Engineer – Java in Test

Full-stack Engineer

• Lead, mentor, and grow a high‑performing engineering team responsible for AI tooling and internal platforms
• Provide coaching, career development, and performance management for engineers across multiple levels
• Foster a culture of technical excellence, psychological safety, and continuous improvement
• Drive hiring, onboarding, and talent development to scale the team successfully
• Define and execute the roadmap for AI‑enabled quality engineering tools and platforms
• Partner with Principal and Staff Engineers to set architectural direction and ensure technical rigor
• Oversee delivery of AI‑powered services, RAG pipelines, developer tools, and automation accelerators
• Ensure systems are reliable, scalable, observable, and aligned with enterprise engineering standards
• Collaborate with QE leadership, Platform Engineering, Data Engineering, Playback/Video Engineering, and Product to identify high‑value opportunities for AI tooling
• Translate organizational needs into clear technical requirements and team priorities
• Communicate progress, risks, and outcomes to senior leadership with clarity and precision
• Establish engineering best practices, coding standards, and quality gates for the team
• Ensure predictable delivery through effective planning, estimation, and execution
• Drive continuous improvement in development velocity, reliability, and operational maturity
• Manage budgets, vendor relationships, and resource allocation as needed

Senior Manager – Software Engineering

• Architect and implement AI‑driven services, micro‑platforms, and developer tools that support GQE.
• Build and optimize RAG pipelines, embeddings systems, and LLM‑powered utilities.
• Develop intelligent automation accelerators that classify failures, detect flakiness, and recommend fixes.
• Integrate AI capabilities into CI/CD pipelines and existing automation frameworks.
• Partner with QE, Platform, and Data Engineering to define requirements and deliver scalable solutions.
• Mentor junior engineers and contribute to engineering standards and best practices.
• Evaluate emerging AI technologies and propose functional applications.

Senior Software Engineer

Platform Engineer

• Architect the production runtime for agentic systems, focusing on low-latency tool-use and state management
• Design and implement the routing and security layer for agentic tool-use via Apigee
• Develop orchestration patterns using ADK and A2A that are adopted by pods across the AMLG
• Monitor and optimize agentic 'thinking' cycles to balance reasoning depth with production latency constraints
• Proactively identify and fix failure modes unique to agentic systems

Senior Machine Learning Operations Engineer, Agentic Systems Platform Engineering

Account Manager

• The Account Manager (AM) will touch all facets of the business from aiding in the sales process to ensuring the delivery and stewardship of deals.
• Coordinate the coverage of all short-term sales available inventory.
• Work with sales associates to complete movement of client inventory from one date to another, sell short-term available inventory, and distribute audience deficiency units.
• Cover and back-up Account Executives (AE’s) during their absence and assisting with any inbound client inquiries.
• Work with leaders across the station group to ensure flawless campaign and inventory management.
• Arrange make goods for program changes on all deals.
• Prepare and update AE’s on all deals/sponsorship execution & stewardship from start to finish.
• Join and participate on sales calls with Account Executives (in person and virtually) and internal meetings that involve sponsorship executions.
• Coordinate sales efforts with Account Executives.
• Coordinate & execute sponsorship elements by working with other departments.
• Work with marketing, Research and Promotion departments to develop tailored sales presentations.
• Oversee project timelines, deliverables, and expectations.
• Project manage and coordinate with internal teams to gather necessary elements for campaign execution.
• Reach out for missing assets, tags, and any needed approvals for custom assets.
• Create post recaps presentations. Show us proof of performance for sponsorships. Other duties as assigned.

Account Manager, Local Ad Sales

Marketing

• Analyze attribution and MMM outputs to quantify return on marketing investment and optimize budget allocation across channels and partners.
• Collaborate with Media Activation teams to ensure MMM and modeled signals are implemented successfully and aligned to acquisition objectives, translating outputs into activation-ready audience signals for use across media buying platforms.
• Improve and strengthen data pipelines for media mix modeling with data engineering teams to ensure timely and accurate input data.
• Provide insights to marketing and activation teams through reporting and analysis to inform strategic marketing decisions and implement budget recommendations.
• Create and maintain regular reporting for internal marketing teams and external agencies, and support the development of dashboards with clear scope and requirements where needed.
• Partner closely with internal data science teams to enhance and optimize the media mix model to increase relevance and actionability of results.
• Additional other duties and responsibilities, as assigned.

Marketing Analytics Analyst

Director

• Negotiate employment contracts for all levels of on- and off-air personnel directly with talent and/or their representatives, as applicable.
• Manage and negotiate special projects, in-house and third-party productions, and partnership deals.
• Advise executives, executive producers, and other senior program personnel on talent issues and all business affairs matters.
• Supervise administrative and junior staff.
• Work cross-functionally and tactically with all other key departments, including Distribution, Finance, Human Resources, Labor Relations, Legal Affairs, Operations, Production, and Talent Strategy.

Senior Director, Business Affairs

• Lead the development of film presentations, partner pitches, and sales materials for the Global Outreach team
• Shape and elevate the Marketing Partnerships team's creative vision, including design language, copy, templates, and presentations
• Collaborate with executives and cross-functional teams to deliver best-in-class creative materials
• Provide creative direction and support to Campaign Management to elevate partnership campaigns
• Present custom pitch concepts to internal and external stakeholders
• Manage vendor relationships and oversee projects, including budgets, timelines, approvals, and asset delivery
• Lead brainstorming sessions to generate innovative, strategic, and actionable marketing ideas
• Develop custom mock-ups, AV content, and creative assets for pitches, campaigns, filmmaker presentations, and executive requests
• Oversee the acquisition, storage, and distribution of sensitive film assets
• Drive process improvements to increase team workflow efficiency
• Hire, onboard, mentor, and supervise the Creative team and interns
• Prioritize projects and manage deadlines across multiple workstreams
• Oversee the creative budget
• Support the Global Outreach team at key meetings, trade shows, and industry events
• Stay current on industry trends and share insights with the team

Director, Creative Promotions

• Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale.
• Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution.
• Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality.
• Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage.
• Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis.
• Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection.

Lead Software Engineer – Java

• own model traceability
• evaluate and recommend tooling
• build end-to-end monitoring
• own incident response for ML systems
• coordinate on post-deployment metrics

Senior Machine Learning Operations Engineer, ModelOps, Runtime Platform Engineering

• Design and build AI‑powered tools that accelerate test creation, code generation, defect triage, log/telemetry summarization, and root‑cause analysis.
• Architect retrieval‑augmented generation (RAG) systems, embeddings pipelines, and domain‑specific LLM integrations tailored to GQE workflows.
• Develop internal developer tools, CLIs, services, and micro‑platforms that integrate seamlessly with existing automation frameworks and CI/CD systems.
• Build scalable APIs and services that expose AI capabilities to GQE teams across brands and platforms.
• Create systems that automatically evaluate test failures, classify flakiness, detect patterns, and recommend fixes.
• Build AI‑assisted test authoring tools that generate high‑quality test scaffolds, assertions, mocks, and data models.
• Integrate AI‑driven insights into CI/CD pipelines to reduce triage time, improve signal quality, and accelerate release readiness.
• Partner with automation framework owners to embed AI capabilities into existing Java‑based frameworks.
• Serve as a senior technical leader leading the vision for AI‑enabled quality engineering across the organization.
• Mentor engineers across GQE on AI tooling, platform engineering, and modern software development practices.
• Evaluate emerging AI technologies, frameworks, and platforms to identify practical, high‑impact opportunities.
• Establish engineering best practices for reliability, observability, performance, and maintainability of AI systems.
• Partner with Platform Engineering, Data Engineering, Playback/Video Engineering, and Product teams to integrate AI tooling into core workflows.
• Work with QE leadership to understand pain points, define requirements, and prioritize high‑value AI capabilities.
• Collaborate with DevOps and CI/CD teams to ensure AI tools operate dependably in production pipelines.
• Build high‑performance backend services using Java, Kotlin, Python, or Node.js.
• Implement vector databases, embeddings pipelines, and retrieval systems using tools such as Pinecone, Weaviate, FAISS, or OpenSearch.
• Develop microservices, event‑driven systems, and distributed architectures deployed on Kubernetes and cloud platforms.
• Integrate with GitHub, GitHub Actions, Jenkins, and internal automation frameworks to deliver seamless developer experiences.

Principal Software Engineer

Machine Learning Engineer

• Define the technical roadmap for visual personalization, bridging the gap between ML science and UI/UX design
• Architect and deploy multi-armed bandit (MAB) systems to dynamically select the best creative assets for show tiles and hero marquees
• Develop models to personalize carousel design types (e.g., square vs. poster), presentation styles, and even the ordering of attributes shown to the user
• Utilize NLP and LLMs to experiment with and optimize carousel titles and content descriptions based on user preferences and trending topics
• Design "always-on" experimentation pipelines that can shift traffic based on model confidence and reward signals (CTR, Playback Start)
• Partner with Content Engineering to leverage visual embeddings and computer vision signals to understand why certain artwork performs better than others