Netflix

Analytics Engineer

• Develop and maintain data pipelines, tooling, and visualizations that make member insights widely available across the company
• Identify, compute, and validate the appropriate data sources and metrics to measure success in a product area
• Partner with data engineers to design and implement a data architecture that bridges across experimentation, analytics, and operational reporting
• Partner with product managers and engineering to conduct forensic investigations into logging, including real-time monitoring of new features the team is launching to support live events
• Proactively explore trends in member engagement to surface future opportunities
• Cultivate strong partnerships with cross-functional stakeholders
• Coach partners to self-serve with existing tools, and evangelize for scaled approaches to expand data access and insights beyond our team

Analytics Engineer 4 – Member Insights Engineering

Product Designer

• Lead and enable a team of seasoned product designers working across multiple domains, including authentication, account management, and trust experiences
• Partner closely with cross-functional leaders across Product Management, Engineering, Research, and Data Science to shape strategy, define goals, and deliver high-quality, scalable solutions
• Drive short-term execution and long-term vision for how members access and manage their Netflix accounts, working across web, mobile, and TV platforms
• Champion operational excellence in how the team ships and iterates — balancing high craft with speed and impact
• Influence and uphold a high craft bar with the team and deliver products rooted in consumer problems, business opportunities, and likability to launch

Design Manager, Commerce XD

Account Manager

• Establishing and leading a team of strong brand partnership leads who develop innovative practices and solutions across APAC.
• Guiding the team to develop the strategic vision for key brand partnerships programs, while operating with a country-first mindset.
• Also has experience in driving China Export.
• Establishing the framework for Brand Partnerships in APAC, ensuring this region is well set up to adopt the global strategy, vision, voice, and operating model for our suite of offerings.
• Ensuring close alignment with the APAC Content and Marketing teams, working at script stage to identify the greatest opportunities for brand partnerships and integrations.
• Developing a growth plan and vision, aligning with external and internal stakeholders, to deliver business impact.
• Lead the team in APAC will be responsible for outreach with potential brand partners, to build relationships and gain a deep understanding of their goals, planning process, creative ambition, and core equities.
• Extracting insights from partners and internal marketing teams to develop and steer the strategic & creative vision from beginning through to execution.
• Effective collaboration with cross-functional teams, including but not limited to our Sales, Ads Marketing, Content, Title Marketing, Consumer Products, and Partnerships.
• Driving direction and alignment across cross-functional teams, content, brand, and agency partners.
• Providing clear, ambitious and articulate thinking to inform and guide major decisions or voice opinions that can be shared publicly within the broader organisation (and sometimes beyond).

Director, Brand Partnerships – APAC

Data Scientist

• Build and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals (e.g., request volume changes) into business and system metrics (e.g. projected annualized costs)
• Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training
• Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models
• Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests)
• Champion an infrastructure lens within the broader experimentation community, helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments
• Connect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from others

Data Scientist 5 – Infrastructure Experimentation

Security Engineer

• Design, build, and maintain cryptographic services used by platforms and applications across Netflix.
• Develop features and enhancements for our Crypto-as-a-Service platform, PKI, and certificate lifecycle management tools.
• Collaborate closely with cross-functional partners to deliver secure, reliable, and developer-friendly solutions.
• Participate in our on-call rotation, supporting high-availability services that are critical to Netflix’s security posture.
• Help drive our vision to centralize and standardize cryptographic solutions for repeatable, broadly applicable use cases.

Security Software Engineer L5, Cryptography Services Team

Engineering Manager

• Drive the vision and strategy for evolving our Cloud Networking Platform solutions
• Build, scale, and mentor a cohesive team of amazing engineers
• Form strong cross-functional partnerships driven by trust
• Deliver network platform capabilities and drive adoption across Netflix

Senior Engineering Manager

Content Marketing Manager

• Inspire a high-performing multi-disciplinary team of product managers, ratings professionals, content analysts, data/catalog experts, and taxonomists
• Transform products, tools, and workflows for catalog and content understanding
• Build bridges with leaders around the world to establish collaboration with other product teams
• Balance requests from various stakeholders for a forward-thinking roadmap
• Improve the team by attracting, developing and retaining high-performance product managers, operators, and editorial experts

Director of Product, Catalog and Content Understanding, Content Platform Operations

• Help shape Netflix’s ads consumer experiences
• Innovate on new ad formats tailored to a variety of content and experiences
• Evolve existing ad canvases and implement ad privacy and policy experiences
• Partner closely with designers across various member experience teams
• Ensure ads are clear, engaging, and additive to the Netflix experience
• Craft cohesive narratives across product touchpoints
• Drive cross-functional alignment and resolve competing perspectives into intuitive member experiences
• Connect dots across teams and workstreams to create structure for complex efforts

Senior Content Designer, Ads Consumer

• Drive the integration of state-of-the-art AI and machine learning models into our content platform and publishing tools enabling hyper-personalized and contextually relevant experiences for global audiences.
• Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality promotional assets, supporting our rapidly expanding content catalog.
• Identify and implement novel AI-driven solutions to complex challenges in content distribution, asset management, and language experiences, ensuring our platform remains at the cutting edge of entertainment technology.
• Partner with researchers, engineers, and stakeholders to translate the latest advancements in AI into scalable, user-centric products that empower both Netflix members and our creative partners.
• Build strategic roadmaps, taking product concepts from idea through validation, shipping, measurement, and iteration.
• Author strategy memos and presentations to represent your team's work to senior executives.
• Lead the incubation and system design of new Machine Learning or AI capabilities, from idea to production in partnership with applied researchers, data scientists, and engineers, and integrating these capabilities into our suite of tools.
• Discover new needs that artists, creators and content executives have, distilling their needs into product roadmaps and delivering solutions that drive real business impact.
• Communicate your vision and strategy broadly throughout the organization, presenting technical and complex information to non-technical audiences.
• Use exceptional analytical and ML/AI evaluation skills and a rigorous, hypothesis-driven approach to inform priorities, build business cases, and measure impact.

AI Product Manager – Content Platform Operations, Publishing

• 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

• 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

• 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