Top Tech Jobs & Startup Jobs in Chicago, IL

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.

Administer and optimize Netflix’s global Workforce Management platform and integrations. Responsibilities include data validation, system configuration, user provisioning, licensing, Tier 1 troubleshooting, third-party tool integration, documentation, and process improvement. The role partners with Operations, Engineering, Data Science, Product & Technology, vendors, and other IT teams to maintain platform reliability, data integrity, security, and scalable workforce management solutions.

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.

Develop and scale cloud-based media encoding pipelines supporting workflow orchestration, metadata publishing, task prioritization, and catalog management. Design distributed systems, write high-quality Java code, build automated tests, collaborate cross-functionally, and own projects from conception through production. The role supports streaming, advertising, broadcast television, video podcasts, and other media experiences.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Own the strategy, roadmap, and lifecycle of Netflix’s internal employee support and knowledge products. Lead discovery, prioritization, delivery, adoption, and continuous improvement across Slack, Zendesk, Jira, integrations, and the Netflix Knowledge Platform. Partner with engineering, design, data, support, and business teams to improve self-service, agent productivity, knowledge management, workflow automation, and AI-powered employee experiences. Use customer research, metrics, and data foundations to identify opportunities and measure business impact.

Build and own high-performance UI features for Netflix’s TV application across streaming sticks, smart TVs, and cable boxes. Collaborate with product, design, algorithms, and engineering teams to define experiences, validate product variants through A/B testing, and deliver reliable, testable code. Lead large cross-functional projects while working with TypeScript, JavaScript, React, Redux, Node.js, GraphQL, and proprietary Jest-based automation frameworks.