Jobs at Tubi

Leads the global marketing program management operating model, including GTM planning, budgeting, resourcing, agency operations, workflow systems, dashboards, and cross-functional launches. Partners with the CMO and international teams to improve delivery visibility, prioritization, and organizational efficiency. Builds and leads a global program management team while deploying AI-driven automation, tooling, governance, training, and measurement across marketing workflows.

Build and ship Tubi’s Cobalt-based native runtime for connected TV apps. Responsibilities include maintaining Starboard platform integrations, developing C++ and Rust modules with safe FFI, optimizing startup and memory performance, debugging Android hardware, managing upstream updates and security patches, supporting media pipelines, building CI and developer tooling, collaborating with device partners, and mentoring engineers.

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.

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

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.

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.

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