Top Tech Jobs & Startup Jobs in NYC, NY

Own ads experimentation and incrementality measurement products for advertisers, agencies, and measurement partners. Partner with engineering, UX, data science, sales, legal, and other teams to define strategy, prioritize the roadmap, launch products, and drive adoption. Apply causal inference and experimentation methodologies, including A/B testing, conversion lift, brand lift, multi-armed bandits, search lift, and geo lift, while supporting Netflix’s advertising measurement ecosystem.

Build applications, APIs, and services supporting Netflix’s advertising media planning and full campaign lifecycle. Develop systems for campaign setup, activation, monitoring, troubleshooting, live events, performance transparency, and optimization. Collaborate with engineering, product, data science, design, and advertising stakeholders to deliver scalable ad-tech solutions. Apply knowledge of programmatic advertising, campaign workflows, audiences, creatives, measurement, forecasting, ad serving, reporting, billing, and order management.

Design, build, and maintain end-to-end ads inventory forecasting, underwriting, and simulation systems. Work with large-scale data and distributed systems (low-latency, high-throughput), productionize ML models and optimization algorithms, collaborate with cross-functional teams, and enable forecasting and simulation use cases for Sales, Pricing, and Science stakeholders.

Design, build, and operate scalable, low-latency backend services for ad decisioning, targeting, pacing, and policy enforcement. Own APIs, data models, observability, capacity planning, incident response, and ensure platform reliability at massive scale while maintaining ad-tech domain expertise.

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 planning, packaging, pricing, inventory management, and pipeline operations for Netflix’s live sports advertising business across Upfront and Scatter markets. Develops customer-specific packages, dynamically optimizes inventory and yield, evaluates pricing, manages event deal pipelines, and supports sales teams with consultative pricing guidance. Partners cross-functionally with pricing, yield management, sales, brand partnerships, measurement, and product teams to achieve revenue, quota, deal commitment, and company yield targets.

Leads Netflix’s Technology and Retail advertising sales business across UCAN, owning revenue, pipeline, and growth targets. Manages and coaches a high-performing consultative sales team, develops advertiser and agency relationships, drives integrated brand and performance marketing campaigns, and collaborates with Operations, Measurement, Market Activation, and Product. The role also develops scalable sales practices, client presentations, measurement strategies, and cross-functional solutions while shaping product development around client needs.

Lead and grow an engineering team building high-throughput, low-latency signals and targeting platforms for Netflix Ads. Partner with ML teams, design real-time and batch signal integrations, manage targeting metadata and governance, drive product and technical strategy, hire and mentor engineers, and deliver scalable production systems that enable privacy-forward audience and contextual targeting.

Design, build, and operate highly available, scalable backend services and APIs powering Netflixs Creative Studio. Lead architecture, data pipelines, and integrations with GenAI and ML platforms, set technical direction, mentor engineers, and collaborate across product, design, and partner teams to deliver reliable, high-performance creative tooling.

Design and build high-volume, low-latency Conversion APIs to ingest consented advertiser events (server-to-server, pixel, batch). Implement streaming architectures (Kafka/Flink), deduplicate and enrich identity/attribution data, enable measurement, optimization, retargeting and reporting while ensuring privacy, compliance, and cross-functional collaboration.