Top Tech Jobs & Startup Jobs in NYC, NY

Sell Netflix advertising solutions to Fortune 500 clients and agencies, drive programmatic strategy, audience planning, analytics and measurement, build multi-year strategic partnerships with C-suite stakeholders, develop data-informed business plans, align cross-functional teams, and represent Netflix at industry events to grow US ad revenue.

Lead annual and in‑year commercial planning for UCAN Advertising. Coordinate planning across Sales, Account Management, Sales Solutions, Measurement and MP&O; integrate regional inputs into global product and policy roadmaps; develop commercial recommendations, align stakeholders, and ensure forecasts, pipeline, and deal learnings inform planning. Partner with Sales Operations, Pricing and cross-functional teams to maintain compliant reporting and scalable operations.

Lead enterprise advertising sales for Netflix US, building strategic partnerships with Fortune 500 clients. Drive programmatic strategy, audience planning, data and measurement solutions, and cross-functional go-to-market plans. Collaborate with agencies and internal partners to grow revenue, educate clients on Netflix Ads, support brand partnerships, and represent Netflix at industry events.

Lead design and delivery of Ads Policy infrastructure: define architecture, governance, evaluation, and integrations for ad policy enforcement across campaign setup, creative review, serving, and reporting. Drive cross-team technical strategy, build scalable distributed systems, mentor engineers, and ensure operational excellence for production-critical ad systems.

Build and evolve a shared ads policy platform: authoring UIs, policy model and evaluation services, APIs, explainability, migrations from localized logic, and partner across product, policy, design, and engineering while mentoring teammates and owning end-to-end delivery.

Lead Pre-Sales and Revenue Management product strategy for Netflix Ads. Partner with sales, engineering, design, data science, and cross-functional teams to prioritize roadmap, launch revenue planning and inventory management products, leverage analytics to identify revenue opportunities, and drive adoption to maximize ad yield and monetization.

Lead research and development of generative AI and recommendation solutions for Netflix promotional assets and content discovery. Responsibilities include tracking LLM research, developing summarization and LLM-as-judge systems, training and evaluating models, optimizing generated content for audience impact, partnering with engineering teams, defining ML roadmaps, and communicating technical strategies to stakeholders.

Lead the Ads Signals & Measurement data engineering team across conversion and attribution, measurement foundations, audience onboarding, and identity. Set cross-organizational technical direction, resolve scalable data architecture decisions, mentor engineers, and partner on platform-wide initiatives. The role requires expertise in modern data stacks, advertising technology data flows, privacy and governance, distributed systems, and emerging AI technologies.

Own Talent’s knowledge governance strategy, taxonomy, information architecture, indexing, content lifecycle, and AI-readiness across a federated organization. Build standards, metrics, review rhythms, cross-business alignment, and AI-assisted content workflows. Partner with platform teams, guide business-unit adoption without direct authority, influence the Netflix Knowledge Platform roadmap, onboard additional business units, and establish the team needed to scale the function.

Sets technical direction and architectural coherence across Netflix’s Ads Data Engineering organization. The role guides cross-domain data system decisions, partners with engineering and business leaders, mentors data engineers, shapes platform-wide initiatives, and advances AI-native data engineering. Responsibilities span modern data foundations, ad-tech data flows, privacy and governance, platform migrations, scalable data products, and collaboration with Ads Platform Engineering, Data Science, and Product teams.