Top Tech Jobs & Startup Jobs in NYC, NY

Design and implement privacy-preserving features for Netflix Ads, ensuring member data protection and regulatory compliance. Build high-throughput, low-latency distributed cloud systems that handle very large data volumes, collaborate cross-functionally, and integrate privacy controls into ad identity and audience systems.

Build and operate Ads Reporting Infrastructure: design low-latency, highly available event ingestion and streaming pipelines that process billions of ad events daily. Ensure data accuracy with monitoring, alerting, and auditing. Integrate with ad tech (SSPs/DSPs/Ad Servers), real-time analytics (Apache Druid), and stream-processing frameworks to support measurement, serving, pacing, budgeting, and reporting workflows.

Lead an engineering team building real-time live ad insertion infrastructure and tooling across server and client models. Own reliability for 24/7 linear streams and high-stakes live events, define technical roadmap (SCTE ingestion, manifest stitching, ad pod management), set on-call/incident response, hire and develop engineers, and coordinate cross-functionally with ad ops, broadcast engineering, CDN and ad serving partners.

Lead product development for Live event ad-serving infrastructure, handling unpredictable traffic, yield optimization across direct and programmatic demand, and cross-functional launches. Define metrics, iterate features, and partner with engineering, sales, ad ops, data science, and external partners to enable seamless Live ad delivery and drive advertiser outcomes.

Lead vision, strategy, and execution for the Ads Targeting Platform, architecting audience and contextual signal ingestion, taxonomy, normalization, and storage. Partner with engineering, data science, sales, and GTM to enable forecasting, media planning, and campaign activation. Prioritize roadmap, govern signal quality and compliance, shape GTM packaging, and align stakeholders to drive advertiser outcomes and scale.

Lead personalization product strategy and execution, partnering with ML scientists, engineers, designers, and research to improve recommendations. Define roadmap, prioritize experiments and evals, deliver consumer-facing ML products, and drive business impact across cross-functional teams.

Lead and grow a team of Technical Program Managers driving complex, cross-functional ads programs across supply, decisioning, and foundations. Own strategic planning, risk mitigation, process improvements, resource forecasting, and stakeholder alignment with Engineering, Product, Data Science, and Design to deliver large-scale revenue-critical initiatives.

Lead and grow an engineering team building ad measurement systems: first‑party measurement (conversion/brand/geo lift, incrementality), causal inference and attribution, scalable data pipelines and measurement APIs, collaborate cross‑functionally, hire and develop talent, and drive product and executional excellence in a fast paced environment.

Design and build scalable, multi-tenant Ads Finance systems and data pipelines that ensure financial accuracy, compliance, billing, invoicing, revenue recognition, and ledger integration for high-throughput ad serving environments. Lead cross-functional stakeholders and deliver high-impact features.

Lead architecture and execution of a high-throughput, low-latency ad event pipeline: ingest, validate, deduplicate, enrich, and fan-out billions of events daily. Build and operate stream processing, define authoritative schemas, ensure billing-grade accuracy, partner with cross-functional teams, and drive reliability, observability, and platformization.