Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develop and execute culturally relevant social media strategies, creator partnerships, community programs, fan activations, and quick-turn campaigns. Scout emerging cultural trends and fandom behaviors, transform insights into social-first ideas, coordinate cross-functional partners, manage execution, and evaluate results to guide future investment. The hybrid role requires working from Tubi’s Los Angeles office two days per week.

Leads Tubi’s scaled creator acquisition strategy, building systems, processes, KPIs, and partner relationships to expand its non-exclusive creator library. Partners with Product to improve onboarding and content delivery, coordinates cross-functional workstreams, identifies high-performing creators for deeper partnerships, communicates strategy to leadership, and represents Tubi externally. Manages people and applies creator-economy expertise across platforms including YouTube, TikTok, and Instagram.

Leads Tubi’s consumer and brand communications strategy, shaping narratives, earned-first campaigns, product storytelling, cultural participation, and media relationships. Partners with Brand, Product, Social, Content, research, analytics, finance, and agencies to create compelling stories, identify cultural opportunities, translate platform innovation for consumers, and measure impact beyond media impressions.

Produces integrated, multi-channel entertainment campaigns across video, motion graphics, social, digital, print, and on-platform assets. Partners with creative and cross-functional teams, manages timelines, budgets, vendors, shoots, feedback, documentation, and delivery pipelines across multiple concurrent titles. Ensures creative quality, technical compliance, brand consistency, and alignment from concept through final delivery.

Reviews advertising, promotional, and streaming content for compliance with Tubi policies, legal standards, industry guidelines, and ratings frameworks. Applies written policies consistently, evaluates advertiser-submitted claims, documents findings, recommends restrictions or removals, escalates policy issues, and collaborates with Legal, Sales, Ad Operations, Content, and producers. The role also analyzes industry practices, supports operational improvements, and requires a Wednesday-Sunday hybrid schedule with weekend work.

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.

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.

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