Netflix

Data Scientist

• Leverage causal inference methods or statistically sound analyses to drive actionable insights
• Build metrics and measurement frameworks that are statistically and causally robust
• Establish strong partnerships with team members and diverse stakeholders across the business
• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs
• Proactively explore trends in content discovery to surface future opportunities
• Work independently and drive your own projects

Data Scientist, Content Promotion & Discovery Performance

Product Designer

• Architect the strategy for platform systems and design scaling to ensure cross-squad resilience and durability.
• Unblock vertical product squads by identifying architectural bottlenecks and providing scalable design solutions that reduce technical and design debt.
• Lead the UX strategy and execution for foundational platform features, including universal navigation, notification frameworks, task management, and high-density data interfaces.
• Partner with engineering to maintain a shared repository of standardized components, ensuring pixel-perfect alignment between platform designs and production code.
• Serve as a strategic ambassador to the central Hawkins design team, influencing global standards to support complex Ads use cases while building deep credibility for Ads as a vital design partner.
• Evangelize documentation and paved-path frameworks that empower designers to adopt platform standards with velocity and autonomy.
• Operationalize AI-driven agentic workflows and intelligent UI patterns in partnership with the AI pillar to scale these frameworks across the Ads ecosystem.
• Ground platform decisions in research regarding human and agentic archetypes to ensure infrastructure remains future-proof.
• Audit the ecosystem to identify UI discrepancies and prioritize the foundational work needed to move the Ads Suite toward a unified experience layer.
• Influence Product and Engineering leadership to ensure platform infrastructure is both technically feasible and vision-aligned.
• Up-level the organization's craft through expert guidance, accelerating the speed of the entire design organization.

Senior Product Designer, Architecture and Systems

Machine Learning Engineer

• Build state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations.
• Build systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization.
• Ensure advertiser brand safety during serving, showing the most appropriate ads for members.
• Differentiate from competition to become a market leader in Connected TV advertising space.

Machine Learning Engineer 5 – Ads Inventory Management, Forecasting

Full-stack Engineer

• Deliver the best A/V experiences via media innovations
• Develop scalable cloud based encoding pipelines
• Support workflow orchestration, metadata publishing, and task prioritization
• Collaborate with cross-functional teams and communicate effectively

Software Engineer, Media Encoding Pipelines

Content Marketing Manager

• Lead a team of strong engineers building high-scale, fault tolerant distributed systems
• Drive architecture, design, and execution of product infrastructure systems
• Develop a strategic roadmap focused on incremental delivery and high business impact
• Define success metrics, align migration goals, and drive platform adoption
• Communicate progress effectively to stakeholders, customers, and senior leadership
• Maintain existing systems while prioritizing next-gen development
• Hire, mentor, and grow a diverse, high-performing team

Manager, Engineering – Content Discovery

Blockchain Engineer

• Design and operate highly available, fault-tolerant distributed systems for accurate billing
• Own subscription management, invoice lifecycle, tax computation, gift cards, and discounts for Netflix’s 325M+ subscribers
• Collaborate closely with product, finance, legal, and engineering partners
• Build and modernize invoicing systems and real-time tax calculation platform

Distributed Systems Engineer 5 – Billing Platform

Producer

• Lead major initiative titles and franchises, reporting to the Executive Producer.
• Single source of truth for project information.
• Proven track record as an excellent game producer with a focus on game readiness, quality, predictability, impact, and performance.
• Serve as the primary point of contact for game development teams, collaborating on project and milestone schedules, submission planning, risks, dependency and overall development plans.
• Develop and drive full lifecycle project roadmaps, schedules, and quality standards, ensuring alignment with broader portfolio and quality goals.
• Expertly assess milestones, reviewing and evaluating game builds across design, creative, development, and production progress.
• Collaborate with our operations teams to own partnerships with cross-functional teams, excelling in relationship management and delivery.
• Be an excellent observer and proactive problem solver, maintaining an outstanding risk register and identifying risks early to remove roadblocks and potential bottlenecks.
• Seek efficiencies in workstreams, actively working to help drive out inefficiencies.
• Inspire and empower development teams, guiding them through continuous improvement and sharing learnings with the studio.
• Serve as an internal title champion/evangelist, crafting and presenting product updates to various audiences, providing visibility into milestones and challenges, and ensuring optimal product information for market delivery.
• Work cross-functionally to create a healthy team culture that is communicative, transparent, motivated, committed, and focused on realistic goals.
• Demonstrate a strong understanding of portfolio objectives and the ability to align project efforts with strategic goals.

Lead Game Producer – Party & Puzzle Games

Product Manager

• Design the state machine and automated workflow with a focus on booking, IO creation and downstream integrations
• Ensure seamless integration across planning, forecasting, pricing, delivery and billing systems for a smooth end-to-end workflow across Direct IO and Programmatic buying
• Partner with engineering and design to develop intuitive solutions that improve internal workflows and minimize operational friction
• Collaborate closely with stakeholders in Ad Sales, Ad Operations, Marketing, Finance, Legal and Policy to translate business needs into scalable and compliant product solutions
• Prioritize the product roadmap by balancing near-term product delivery with long-term strategic goals

Product Manager, Media Workflows – Planning

• Design and develop Netflix Conversion APIs for Measurement, Optimization, Retargeting, and Reporting capabilities
• Build high-volume, low-latency services for near-real-time ingestion of user engagement events
• Collaborate within a skilled team dedicated to ads technology and user privacy

Software Engineer 5 – Ads Signals Conversion API

• Shape the data strategy that powers how Netflix understands advertisers, demand, and sales - enabling sales and agents to operate on a trusted foundation
• Champion data quality and governance to strengthen core capabilities including account verification, hierarchies, benchmarks, attribution, and enrichment
• Evolve the go-to-market architecture to drive a continuous demand loop connecting sales workflows, marketing activation, and business management
• Elevate sales productivity by embedding agentic workflows and autonomous agents into the daily flow of work
• Partner closely with sales, engineering, design, ad operations, marketing, strategy, policy, and legal to deliver products that drive measurable advertiser and business outcomes

Product Manager, Sales Products – Ads

• Work at the intersection of growth product features and commerce platform infrastructure
• Engage in deep, meaningful cross-functional work with other engineers, designers, product managers, and data scientists
• Contribute to optimising customer acquisition and retention, maximising revenue and creating commerce opportunities
• Improve our infrastructure and platform to help meet growing business needs
• Uphold a high standard for data accuracy and operations while maintaining operations of our highly scalable infrastructure
• Provide first-class on-call support

Distributed Systems Engineer 5 – Membership Engineering

• Build advertising systems and integrations that power the delivery of ads using Netflix's content delivery ecosystem.
• Identify and build the ad formats that will define the future of advertising on the Netflix streaming platform, including live events.
• Drive the definition of ad formats and standardization across delivery platforms (TV, mobile, web).
• Lead the experimentation needed to optimize experience for users and advertisers.
• Build highly performant advertising systems to deliver high impact to the business by monetizing content.

Software Engineer 5 – Ads Member Experience

• Designing, developing, and maintaining high-quality, accessible UI components
• Building React-based design system components
• Developing AI-driven tools for development workflow and design system efficiency
• Collaborating with System Designers and Product Design leadership to define and implement the technical roadmap
• Partnering with Commerce experience designers and product teams to drive successful adoption of components

Software Engineer 4/5 – Commerce Design System

Technical Program Manager

• Lead multiple complex cross-functional programs, in collaboration with product, engineering, design, and data science, that deliver technical solutions.
• Provide deep domain expertise to form sound technical strategies with engineering partners.
• Drive clarity and engagement with cross-functional partners to align roadmaps and weigh in on relative priority.
• Work to decompose requirements into technical execution plans with measurable milestones.
• Effectively optimize scope and schedule, manage cross-functional dependencies, and proactively manage risks.
• Leverage the insights and experience from this work to influence the improvement of underlying technologies, architectures, and operations.
• Craft clear communication of progress toward goals, reporting status to stakeholders and leadership.

Technical Program Manager – Ads Decisioning & Optimization

• Lead end-to-end coordination for complex, multi-team initiatives that span AI models, infrastructure, experimentation, and product integration
• Define and track milestones, manage dependencies, and ensure alignment across engineering, applied science, product, and infrastructure partners
• Operate effectively in evolving problem spaces
• Work across multiple EMs, PMs, data scientists, and applied science leads
• Build and refine lightweight program rituals that improve execution consistency and visibility for AI-heavy launches
• Connect the dots between product-facing teams and foundational/platform teams
• Produce concise status updates, decision documents, and alignment artifacts for stakeholders