Netflix

Product Manager

• Lead the Core Interactive Discovery team—driving the future of how consumers discover and connect with content on Netflix
• Shape the next generation of consumer discovery, leveraging the latest advances in generative AI and multimodal interfaces
• Own the vision and strategy for unlocking entirely new ways for members to “converse” with Netflix—empowering them to explicitly express their interests, whether through search, voice, or innovative AI-driven experiences
• Imagine building systems where members can interact naturally with Netflix, using explicit inputs (like Reminders, Ratings, Add to My List) and conversational interfaces that understand intent and context
• Create customer experiences and business models that have never been done before
• Partner with a variety of cross-functional partners spanning design, engineering, data science and marketing/content teams to imagine how mobile experiences can engage members in new and innovative ways

Group Product Manager – Core Interactive Discovery

Manager

• Distilling large volumes of quantitative and qualitative information into key insights, tradeoffs, and options to guide stakeholders toward data-driven decisions
• Partnering with Data and Insights teams to evaluate how changes to the member experience drive user behaviors including engagement, conversion, and churn
• Developing robust financial and operational models to understand the business impact of new initiatives
• Conduct competitive and market research, including external benchmarking, to surface areas for product innovation and improvement, and to understand evolving consumer expectations
• Track market, platform, and consumer behavior trends and translate them into implications and recommendations for our product and business strategy
• Collaborating cross-functionally to help build and prioritize the product and business roadmap, ensuring alignment with broader business objectives and maximizing member lifetime value
• Translating our initiatives into presentations and memos for cross-functional partners and senior management to facilitate decision-making and disseminate information

Manager, F&S, Member Product

Solutions Engineer

• Monitoring and handling our customers’ requests
• Troubleshooting and solving issues
• Automating support needs
• Developing support documentation and runbooks
• Improving and maintaining support tools and automation
• Understanding our product offerings
• Continuously looking for ways to improve the engineering support experience

Support Solutions Engineer, Security, Privacy and Assurance

Research Scientist

• Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization
• Partner closely with other research scientists and engineers to effectively integrate models into business applications and platforms
• Serve as a cross-functional subject matter expert to surface high-impact opportunities, define roadmaps, and prioritize research investments; drive execution with engineering, product, and creative teams.
• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions
• Advance the state of the art and deliver innovations that enhance content discovery experience of our members.
• Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand

Research Scientist 5 – Content Promotion and Distribution

Research Engineer

• Lead the 0-1 development of the User Identity Knowledge Graph
• Shape the problem space: Identify and articulate the key challenges and opportunities
• Drive applied research: Design, prototype, and deploy novel machine learning and knowledge representation models
• Set the research roadmap: Prioritize and sequence research efforts
• Collaborate cross-functionally: Partner with data scientists, engineers, product managers, and stakeholders across Netflix

Research Engineer – User Identity Knowledge Graph

Project Manager

• Lead escalation management: Serve as the primary escalation manager for high-priority and legally sensitive cases (e.g., CSAM, threats of harm, terrorism) in Games Moderation, collaborating with internal partners in Legal, Trust & Safety, and Risk.
• Drive operational excellence: Proactively monitor, assess, and optimize moderation tooling (e.g., Two Hat, CSMA), identifying gaps and partnering with vendors to ensure robust, scalable, and effective solutions.
• Analyze data and trends to anticipate risks, measure program effectiveness, inform proactive improvements, and provide actionable insights to leadership and stakeholders.
• Continuously monitor and refine moderation policies and enforcement standards by partnering with studios and internal stakeholders, ensuring policies remain effective, relevant, and aligned with evolving business and industry needs.
• Implement and enhance global moderation standards: Collaborate with the Games Moderation Program Lead to implement and refine moderation policies, enforcement standards, and best practices.
• Vendor enablement: Lead onboarding, training, and ongoing quality assurance for third-party moderation vendors, ensuring they consistently meet Netflix’s standards.
• Collaborate with studios to identify emerging needs or adjustments in policies, and work with vendors to ensure changes are implemented effectively.
• Operational readiness: Ensure the Customer Service and moderation teams are fully prepared for moderation implications of new game or feature launches, developing and delivering enablement resources as needed.
• Serve as a key cross-functional collaborator and liaison: Work closely with Product, Engineering, Player Support, Legal, and other teams to drive operational initiatives, align on priorities, and ensure seamless execution across the global program.
• Additive global perspective: Bring your regional and industry insights to the table, helping to inform and evolve the global moderation approach.

Investigations & Response Project Manager – Games Moderation

Engineering Manager

• Set the vision and strategy for all aspects of model inference and serving at Netflix, ensuring our platform supports the next generation of ML innovation, including LLMs, GenAI, and real-time personalization.
• Lead and develop a cohort of engineering managers and technical leads responsible for core functions, including model routing, inference systems, experimentation, serving frameworks, and the performance and scalability of model serving at Netflix.
• Drive cross-team and cross-functional alignment, collaborating with ML researchers, product engineering, infrastructure, and platform partners to maximize business and member impact.
• Champion operational excellence and continuous improvement, ensuring reliability, scalability, and cost-effectiveness across all model serving systems.
• Define and communicate the pillar’s multi-year vision, technical strategy, and roadmap.
• Anticipate future platform and business needs, especially as ML architectures and use cases evolve.
• Drive the transition from legacy, domain-based serving to a unified, modular, and domain-agnostic serving platform.
• Manage and mentor engineering managers and technical leads; build a strong leadership bench.
• Foster a culture of high performance, candor, innovation, and inclusion, aligned with Netflix’s values.
• Attract, hire, and retain outstanding talent across the pillar.
• Set and uphold technical standards for reliability, scalability, and performance across all teams.
• Oversee development of foundational serving infrastructure: real-time/batch inference, frameworks, experimentation, control plane, and tooling.
• Ensure robust support for diverse model types (deep learning, LLMs, bandits, etc.), hardware targets (CPU/GPU), and SLAs.
• Own operational health and reliability at scale, including observability, SLOs, and incident response.
• Build and maintain strong partnerships with ML practitioners, product engineering, infrastructure, and platform teams.
• Represent the Model Serving pillar to Netflix senior leadership, clearly communicating the vision, progress, and priorities.
• Influence and drive alignment on platform direction, investment, and priorities.

Senior Engineering Manager, Model Inference – Machine Learning Platform

Machine Learning Engineer

• Build a next-generation ML data and feature platform to significantly improve productivity of ML practitioners
• Collaborate closely with ML practitioners and domain experts to ensure high-quality features and labels
• Design and build a near-real-time feature computation engine for generating ML features
• Operate and manage feature computation pipelines and serving infrastructure for various ML models
• Build and scale systems that accelerate training through performant data loading, transformation, and writing
• Develop feature stores that enable feature discovery and sharing

Software Engineer L4/L5 – Data and Feature Infrastructure, Machine Learning Platform

DevOps Engineer

• Help guide the reliability of the Netflix Ad Suite.
• Design, implement, and maintain scalable and reliable infrastructure.
• Collaborate with engineering and product teams for observability and reliability.
• Coordinate capacity planning for Dynamic Ad Insertion.
• Develop automation tools for monitoring, deployment, and incident response.
• Participate in on-call rotations for the health of the Netflix Ad Suite.
• Implement a robust incident response framework.
• Identify sources of instability and champion a culture of reliability.

Site Reliability Engineer 5, Ads SRE

Data Scientist

• Lead the overall technical vision for forecasting, metrics ecosystems, audience insights, and transmedia research.
• Own the development and operation of robust and interpretable models for pre-launch and post-launch forecasting.
• Empower the team to own metrics ecosystem, audience insights, and transmedia research, enabling the Netflix Games’ objectives as the business grows and evolves.
• Serve as the most senior technical resource, mentoring the team and fostering data science excellence.
• Act as a technical bridge and strategic thought partner to Games leadership, Finance & Strategy, Engineering, and sister DSE teams, ensuring production-grade data products.
• Proactively synthesize deep technical insights into clear, actionable findings for executive and senior leadership.
• Autonomously identify and pursue the high-impact research, making compelling, data-driven cases for resource allocation and prioritization across the portfolio space.

Data Scientist L6 – Games Portfolio

Program Manager

• Collaborate with Informed Captains to define project scope, goals, and deliverables.
• Contribute to the Talent Acquisition communications strategy and narrative building.
• Drive and manage cross-functional projects independently.
• Actively participate in post-mortems to identify areas for improvement.
• Contribute ideas and suggestions for enhancing PM processes and methodologies across global TA.
• Support ad-hoc requests for TA Leadership, i.e. development of communications.

Program Manager, Talent Acquisition

• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience Netflix Games.
• Establish strong partnerships with stakeholders to shape the vision of a space, whether that is by helping determine a product strategy or define new metrics.
• Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of member experience.
• Be flexible to changing circumstances - Netflix Games are evolving rapidly, and this role will help shape what that evolution looks like.

Data Scientist, Games Product

Security Engineer

• Build production ML systems that detect fraud and abuse patterns across Netflix's global member base and device ecosystem.
• Deploy real-time inference systems that provide security signals to authorization and policy engines.
• Solve challenges including unlabeled/mislabeled data, highly imbalanced datasets, concept drift, and evasion attacks.
• Design metrics and observability to measure model performance and security impact in production.
• Build scalable solutions to automate security decisions by creating ML-driven policies that balance security, member experience, and business needs.
• Collaborate cross-functionally with security engineers, data scientists, infrastructure teams, and product managers to deliver end-to-end solutions.

Security ML Engineer – L5

• Design, implement, and maintain scalable and reliable infrastructure to support Netflix Streaming Suite.
• Collaborate with engineering and product teams to integrate observability, reliability, and security considerations into the entire software development lifecycle.
• Develop and implement automation tools for monitoring, deployment, and incident response to ensure efficient and reliable operations.
• Participate in on-call rotations to ensure the 24/7 health of the Netflix Streaming and contribute to incident response, diagnosis, and resolution.
• Implement and maintain a robust incident response framework, including blame-aware incident reviews to learn from operational surprises.
• Proactively identify sources of instability in distributed systems and analyze how complex systems fail from a reliability and resilience perspective.
• Champion and embed a culture of reliability across the Ads organization.
• Act as a force multiplier, scaling your technical expertise by creating clear documentation, developing best-practice guides, and building tooling to roll out reliability enhancements automatically.

Site Reliability Engineer 5, Core

Data Engineer

• Provide guidance and mentorship to managers and individual contributors on the team.
• Develop strong relationships with data science, engineering, and business partners, and improve how we leverage data at Netflix.
• Help nurture the data engineering community at Netflix, which extends beyond your immediate team and requires working with other senior leaders
• Expand your team by attracting diverse talent that can push our technical boundaries.
• Foster an inclusive environment, where all points of view are welcomed and encouraged.
• Be a thoughtful leader, and drive both technical and business priorities and roadmaps.