Jobs at Tubi

Supports digital advertising campaign execution from order booking through reporting. Responsibilities include validating orders, collecting and tracking creative assets, submitting trafficking requests, monitoring campaign delivery, escalating pacing risks, preparing client reports and presentation decks, and reconciling delivery for billing. The role coordinates with Account Management, Ad Operations, Sales, and Revenue Operations while maintaining accuracy across multiple concurrent campaigns.

Leads go-to-market strategy and execution for Tubi’s exclusive creator titles. Develops audience-first positioning, launch plans, creator fandom activation, experimentation frameworks, and performance measurement. Partners cross-functionally with Content, Creator, Marketing, Growth, Social, PR, Analytics, and channel teams. Translates campaign insights into recommendations, repeatable playbooks, and portfolio-level strategies that improve audience conversion and marketing effectiveness.

Own the end-to-end performance improvement plan process, coach managers through difficult performance conversations, and partner with HRBPs on talent programs. Design initiatives that improve manager effectiveness, use workforce analytics to inform strategy, lead cross-functional performance efforts, and analyze intervention trends. The role requires balancing multiple PIPs and programs while ensuring fair, consistent, legally sound documentation and outcomes.

Lead ML engineering and infrastructure teams to design, build, and scale end-to-end ML systems (recommendation, personalization, ads), architect distributed low-latency serving and streaming platforms, oversee ML pipelines, ensure reliability, observability, cost efficiency, and partner with product and engineering to deliver ML-driven experiences.

Lead drafting, review, and negotiation of digital advertising and ad-technology agreements (insertion orders, programmatic, measurement, DPAs); provide strategic contractual guidance to internal stakeholders; build templates and processes; train and support legal team; and partner cross-functionally to support ad sales and growth.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.

Lead and manage the Content Acquisitions Legal team, advise on content licensing and partnerships, draft and negotiate content acquisition and distribution agreements, establish processes and templates, collaborate cross-functionally (Marketing, Product, Finance, Fox Legal), handle content-related legal issues (IP, DRM, privacy, sponsorships), train and support legal team members, and escalate material risks to the General Counsel.

Lead day-to-day administration of advertising standards and brand safety across direct-sold, programmatic, sponsorship, and branded content. Advise on complex/high-risk ads, partner cross-functionally to implement policy, define scalable controls and tooling, use BI and AI-assisted review to monitor enforcement, and identify emerging risks and regulatory issues.

Lead creative strategy and execution for consumer and B2B campaigns, broadcast promos, event sizzles, and motion work. Manage concepting, briefs, and creative direction across design, animation, editorial, and sponsorship deliverables. Collaborate with producers and cross-functional teams to prioritize work, maintain quality, and drive AI adoption in creative workflows while presenting and influencing senior stakeholders.

Design measurement frameworks, build scalable analytics and AI-driven workflows, implement causal and Bayesian models, run experimentation (A/B, incrementality), partner with data engineering, and deliver executive dashboards to optimize growth marketing.

The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.

Build and maintain title-level financial models to evaluate and forecast content investments (movies, series, sports, creators). Support deal valuation, negotiation analysis, greenlight and renewal decisions, aggregate slate-level economics, partner with FP&A and Data Science, and develop tools and templates to scale content valuation.