Top Tech Jobs & Startup Jobs in Los Angeles, CA

Owns Netflix’s title data lifecycle strategy across content formats, data models, and connected systems. The role defines title structures, entity relationships, taxonomies, operational rules, workflows, and duplicate-detection frameworks. Responsibilities include assessing upstream system impacts, partnering with product, engineering, and business teams, creating roadmaps and documentation, setting metrics, supporting automation, and influencing stakeholders without direct authority. The position requires strong data governance, analytical, communication, project management, and cross-functional collaboration skills.

Leads strategic and technical programs for Netflix’s GenAI team and Games organization. Responsibilities include prioritizing engineering work, managing agile workstreams, coordinating cross-functional teams and vendors, driving adoption of AI tools, developing training and communications, analyzing engagement data, defining KPIs and experiments, identifying GenAI opportunities in game development, and planning scalable solutions with responsible AI safeguards.

Leads global commercial readiness and launch execution for Netflix’s advertising measurement, finance, and campaign reporting products. Responsibilities include coordinating cross-functional teams, managing change, aligning commercialization strategy, designing operational workflows, coordinating UAT, validating production readiness, establishing feedback loops, and partnering with Enablement on training and rollout strategies.

Leads Netflix’s product and technology editorial strategy across the Tech Blog and owned channels. Manages editorial standards, calendars, review and publishing workflows, speaking engagements, and cross-functional collaboration with engineers, researchers, legal, policy, social, and communications teams. Identifies technically significant stories, develops innovative formats and channels, and amplifies technology narratives to broader audiences.

Leads financial analysis and strategic support for Netflix Studio initiatives. Builds business cases, complex valuation models, scenario analyses, and performance assessments to guide investments and business decisions. Synthesizes findings into executive presentations, conducts post-mortems, and evaluates industry trends, competitive threats, and opportunities. Partners with cross-functional Studio stakeholders in a fast-paced, ambiguous environment while working autonomously and supporting senior leadership.

Owns end-to-end relationships with Generative AI technology and vendor partners supporting Netflix productions. Evaluates tools and workflows, translates capabilities into production guidance, supports implementation and troubleshooting, monitors market intelligence, develops emerging vendors, and partners with Legal and Security on responsible engagement. Connects production and creative teams with suitable partners based on workflow fit, value, and risk.

Operate and troubleshoot GPU-based generative AI inference workflows for image, video, audio, and multimodal projects. Prepare and validate inputs, tune parameters, debug runs, maintain reproducible launch workflows, partner with researchers and creatives, own quality control, and improve tooling and automation for production-ready outputs.

Lead legal drafting and negotiation for Netflix feature film development, production, and acquisitions. Advise cross-functional stakeholders on rights, talent, licensing, production services, and chain-of-title issues. Manage high-volume, time-sensitive deal flow, collaborate with creative, production and finance teams, and ensure legal risk mitigation for the company’s live-action feature slate.

Design and build end-to-end tools and datasets for training and fine-tuning multi-modal generative models (video-focused). Implement large-scale batch inference and media data pipelines, contribute to storage/cataloging tooling, and partner with researchers, engineers, and product teams to operationalize Media ML at scale.

Lead cross-Finance programs from ideation to implementation, define scope and success metrics, develop project charters and work plans, manage risks and dependencies, align stakeholders and engineering/product teams, produce executive communications, and drive change management for Finance processes (Order to Cash, Procure to Pay, Record to Report, Forecast to Delivery).