Top Tech Jobs & Startup Jobs

Lead and maintain core modelling, rigging, and surfacing pipeline tools. Design and implement robust, maintainable code, troubleshoot workflows, validate releases, mentor TDs, and drive cross-department technical solutions to support production quality and efficiency.

Lead research and experimentation to measure ad campaign performance and effectiveness. Design evaluation frameworks, build measurement solutions, develop models for lift, conversion, and attribution, run experiments and analyses, partner with product/engineering/design/sales, present insights, mentor teammates, and foster technical community and culture.

Lead Partner Commerce product strategy and roadmap for contracts, billing, and payments. Partner with Engineering, Finance, Tax, Legal, Data, and BD to deliver end-to-end commercial features, drive business impact, and scale partnerships. Operate in a fast-paced, ambiguous environment using data-informed, test-driven decision making.

Lead ML initiatives to improve Sales productivity and automation: define roadmap, design and deploy production ML models and AI agents, build measurement pipelines with analytics engineers, iterate from performance and seller feedback, and act as senior technical partner across product, engineering, and Sales to drive measurable revenue impact.

Build and operate resilient, high-scale, low-latency microservices and APIs (gRPC/GraphQL/REST) using OO languages (Java/C#). Design data models, optimize concurrency and performance, ensure observability, and collaborate with cross-functional teams to support content promotion, localization, and distribution workflows at Netflix.

Manage and execute payment authorizations and schedules for above-the-line talent, track contract deadlines and options, prepare deal memos, maintain WGA/DGA tracking and development summaries, liaise with cross-functional teams, ensure payroll paperwork, and maintain cloud-based trackers and documentation.

Lead end-to-end quantitative and mixed-methods consumer research for Japan and South Korea. Synthesize survey, qualitative, behavioral and 3rd-party data, partner cross-functionally (Content, Marketing, Product, Data Science), define research questions, execute studies, and communicate actionable insights to inform content, marketing, partnerships, payments and monetization decisions across APAC.

Design, build, and own batch and real-time data pipelines and datasets to support analytics, experimentation, and product insights. Model and organize data for scale and fast retrieval, source from APIs and event streams, translate business requirements into engineering workstreams, collaborate with data scientists and product teams, and mentor colleagues.

Design, build, and productionize low-latency ML models and inference infrastructure for ad serving, inventory forecasting, yield optimization, bidding and allocation. Handle massive data with Spark, build scalable simulation systems, collaborate with product, science, and engineering to deploy models at scale, and ensure advertiser outcomes and member experience across client and server integrations.

Design, develop, test and operate large-scale distributed production systems supporting animation workflows. Collaborate with engineers, artists and partners to gather requirements, build features, automate, monitor, troubleshoot, and release backend and frontend services for asset management, scheduling and data synchronization.