Jobs at Tubi

Leads product strategy, roadmap, and business outcomes for Tubi’s discovery, recommendations, ranking, search, personalization, and AI experiences. Partners with engineering, machine learning, and data science teams on advanced recommendation systems, deep learning, foundation models, experimentation, and content understanding. Evaluates emerging AI technologies, drives viewer engagement and retention, informs content acquisition decisions, and manages a high-performing product team.

Leads Product Support Operations across technical program management and customer experience. Owns company-level programs, AI-enabled operating systems, customer support operations, planning cycles, executive reviews, and organizational communications. Develops teams, advises executives, manages portfolios, and personally builds agentic workflows and automation while coordinating complex initiatives across engineering, product, design, data science, finance, and external partners.

Partners with Engineering and Product leaders on organizational strategy, talent management, employee engagement, development, compensation planning, onboarding, offboarding, compliance, and employee experience. Leads cross-functional people programs, coaches executives, analyzes HR data and trends, manages stakeholder alignment, anticipates organizational risks, and improves People Team processes and operational efficiency.

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 Staff Software Engineer will design distributed systems, drive architectural direction, mentor engineers, and integrate AI into backend development while ensuring scalability and resilience.

Lead strategy and execution for Tubi's Search capabilities, improving relevance and user experience through collaboration with engineering and data science teams, while driving high-quality cross-functional execution.

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 development and optimization of Web and OTT UI/UX using React and Node.js. Ship experiment-driven features, improve performance on low-end devices, maintain CI/CD pipelines, manage CDN infrastructure, and mentor engineers while collaborating with Product and Design.

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.

Design and implement high-performance Elixir backend services, architect and evolve microservices on Kubernetes, optimize systems for scale, resilience, observability, and security, integrate AI-assisted development tools, collaborate cross-functionally, and own critical backend architecture and service design.

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.

Lead and grow a team building multi-platform test automation for Web, Mobile, and CTV. Own automation strategy, frameworks, CI/CD integration, and AI-augmented workflows. Drive quality gates, failure analysis, cross-functional alignment, data-driven reporting, and incident root-cause prevention while mentoring engineers and codifying AI-driven automation practices.

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