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In this role, you will:
Design and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.
Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.
Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.
Participate in model development and propose scalable designs.
Champion and facilitate software engineering best practices within the team.
About you:
Proven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.
Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.
Proficient in cloud infrastructure, including S3, Docker containers.
Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
Passionate about transforming ideas into products and enhancing user experience.
Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
Bonus experience:
Experience building end-to-end multimedia systems and algorithms.
Deep experience with AWS and understanding of FSx.
Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
Experience in the content creation domain, such as visual effects or animation.
Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.
Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.
$150,000 - $750,000
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| RESPONSIBILITIES
Act as a high-responsibility service owner for a broad range of enterprise applications
Relentlessly pursue improvements, with a keen eye for how engineering solutions reduce toil and eliminate manual tasks
Design, implement, and maintain scalable and reliable infrastructure to support our services
Develop, test, and deploy API integrations with other platforms and web services
Implement and improve monitoring and alerting systems to proactively identify and address potential issues
Partner closely with our Product Management and Netflix Technology Experience teams to identify support-enabling tools (i.e. self-service tools to help our Support teams scale)
Administer, manage, and configure a variety of internal tools and SaaS applications such as Google Workspace, Slack, and Zendesk
Partner with existing internal customer teams to assess opportunities for improvement, workflow efficiencies, and engineering solutions
| WE VALUE
Strong problem-solving skills and the ability to make data-driven decisions
Passion for engineering principles and developing tools and applications for impact with high quality
Ability to thrive in a dynamic environment where needs shift and clearly articulate priorities and critical outcomes to your team
Demonstrated sound judgment by taking a strategic approach to solving technical problems with a holistic view of the business impact
Collaboration and continuous improvement are fundamental to growing the team’s impact over time
A desire to learn and readiness to mentor others both within and outside of the team
| SKILLS AND EXPERIENCE
5+ years of experience as a Systems Engineer or in a similar role
Strong scripting and programming skills (Python, Go, Java or JavaScript/)
Expertise administering and developing solutions for enterprise software platforms like Slack & Google Workspace
Experience with cloud platforms like AWS, microservices architecture
Experience with low-code/no-code development platforms like Workato and Okta Workflows
Experience with incident management and response
Experience with employee onboarding and offboarding workflows
Excellent communication & collaboration skills and a continuous improvement mindset
Proven ability to cultivate relationships through influence
Proven ability to assess complex issues and implement effective solutions
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $700,000.
Job is open for no less than 7 days and will be removed when the position is filled.

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We want to delight our customers with a service that just works, always. This requires our engineers to have a truly full-stack understanding of the Netflix experience, from playback device architecture to the design and implementation of our B2B subscription APIs. You will be successful at this job if you have a strong foundation in software engineering, experience building complete systems, and enjoy clearly communicating complex concepts.
The job expectations are broad: one day, you will diagnose a playback issue detected on a device by reading system logs and comparing them to the source code, and another day, you will triage a partner's payment glitch by examining the behavior of REST API calls. The next day, you may be reviewing the high-level architecture of a partner's integration to provide design feedback.
What you will be doing:
Work with partners to integrate, test, deploy, and improve the Netflix streaming application, content discovery, and billing integration over the entire device lifecycle using Netflix tools and data.
Manage project priorities, deadlines, and deliverables over multiple partner engagements.
Test partner devices, which include black-box testing using our in-house testing suite.
Collaborate with our data analytics team to discover, triage, and resolve post-launch playback issues and payment services issues.
Represent the needs and feedback of our partners with the product and engineering teams at headquarters in California.
Recognize opportunities for improvement in process or tooling and implement changes to deliver the same or better quality with less effort.
Build and maintain our engineering relationships with Netflix partners. Ability and willingness to travel to Netflix’s Los Gatos, CA headquarters and regular regional APAC partners when required.
What we are looking for:
BS or MS degree in Computer Science, Electrical, or equivalent practical experience.
At least 7 years of experience in one or more of C/C++, Java, Rust, or Go. Experience in SQL, Python, and JavaScript is a plus.
Experience with streaming devices, or related applicable skills in embedded devices and other small systems.
Experience with streaming device operating systems (Linux, Android) and middleware.
Experience working with external partners or multiple internal stakeholders to implement complex systems.
Experience with backend API (Rest/GraphQL) and B2B API technologies is highly valued.
Demonstrated history of delivering on full development lifecycle and multiple successful releases.
Ability and willingness to travel to Netflix’s Los Gatos, California headquarters, as well as regular regional APAC partners when required.
English proficiency is required. Additional language proficiency is highly valued, especially in Japanese or Korean.

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Common Languages and Tools: Java & other JVM languages, Gradle, Nebula, Spring Boot, JUnit, GraphQL, Kafka, PostgreSQL.
Implement and manage build solutions that enhance the efficiency and reliability of software delivery.
Develop and maintain backwards-compatible tools for dependency management and analysis.
Integrate internal and vendor-provided build and test infrastructure into engineering workflows, focusing on reliability and ease of use.
Design and develop tools and infrastructure to automatically detect, quarantine, and reproduce flaky tests.
Create and maintain tools for analysis of distributed tracing tools for test runs.
Develop and integrate software solutions that provide high-quality synthetic test data generated from captured production traffic and API schema registries.
Correlate test coverage data with code changes, runtime execution, and trace data for comprehensive reporting.
Maintain a strong focus on scalability, usability, and reliability in platform design to support a growing cohort of engineers.
Be willing and able to showcase our team’s offerings to internal audiences
Consult with other teams about how to best collaborate, integrate, and/or set up solutions for their needs
Stay informed about industry trends and emerging technologies to ensure Netflix remains at the forefront of build, dependency management, and testing infrastructure.
A skilled software engineer with experience in developer platform or productivity teams.
A meticulous software designer who researches and documents technical tradeoffs clearly and concisely.
A self-motivated and organized individual who can independently drive engineering-wide solutions.
A proactive communicator who engages effectively with technical and non-technical stakeholders.
An advocate for strong build, dependency management, and testing practices, with familiarity in popular build tools, test frameworks, code coverage tools, continuous integration systems, and post-deployment verification methods (a healthy contempt for flaky tests is a plus).
You have shipped and maintained Java code in production.
You have worked on various technology stacks and are familiar with a variety of ways that software could be designed for different optimizations.
You have designed and implemented build and dependency management solutions.
You have built (and tested) custom Gradle plugins.
You have assembled JVM Spring Boot applications using Gradle.
You have experience with Nebula, Gradle, Maven, etc, for dependency management.
You have experience with using and explaining Develocity dashboards.
You are comfortable working with Zipkin or similar tools in the tracing space.
You have implemented advanced log, metric, or error stacktrace analysis.
Job is open for no less than 7 days and will be removed when the position is filled.

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in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.
Responsibilities
Lead multiple cross-functional programs, in collaboration with product, engineering, design, and data science, that deliver technical solutions.
Provide deep domain expertise to form technical strategies with engineering partners.
Drive engagement with cross-functional partners, work to decompose requirements into technical execution plans with measurable milestones, effectively optimize scope and schedule, manage cross-functional dependencies, and proactively manage risks.
Craft clear communication of progress toward goals, reporting status to stakeholders and leadership.
Requirements
7+ years of technical program management experience
Must have Ads domain experience with a preference to manage financial transactions and revenue tracking in the advertising domain.
Proven experience driving large-scale software projects, managing the definition of technical strategies, and building long-term scalable solutions
Deep understanding and point of view on product growth and discovery solutions
Highly skilled, experienced, and enjoys orchestrating multiple programs with many moving parts and creating partnerships with cross-functional teams
Able to identify gaps in solutions, debate technical approaches and weigh in on product vs. technology tradeoffs
Excellent written and verbal communication skills, including the ability to clearly articulate business impact and technical constraints tailored to the audience
Self-starter who enjoys tackling 0 to 1 problem spaces and quickly bringing organization and direction
Exemplify theby understanding, advocating, and demonstrating its values.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

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The Role
This role can be based in our Los Angeles or Los Gatos offices. There is also the option to be based remotely from the West Coast/PST working hours. Some travel will be required if remote-based.
As a Product Manager at Netflix, you will:
Build strategic roadmaps and take product concepts from idea through validation, delivery, measurement, and iteration
Author strategy memos and presentations, representing your team's work across the organization and to senior leadership
Lead a team of stunning colleagues across design, engineering, program management, and data science to deliver outstanding products to our customers
Build business cases and measure the impact of your product innovation
Deeply understand and socialize the evolving needs of our customers
As theProduct Manager, Content Security, you will:
Partner with stakeholders to develop policies for end user access to sensitive data and assets and ensure these are implemented holistically across our ecosystem of B2B products
Partner cross-functionally to define and develop secure, scalable approaches for the external workforce to download and deliver pre-release media assets
Lead the rollout of new features to improve end user account security (such as multi-factor authentication/MFA) while partnering with internal teams to manage operational change
Create and operationalize a suite of content security risk metrics to help monitor for risk and identify new opportunities for mitigation
Qualifications
7+ years of Product Management experience with proven success building and scaling technical platforms
Ability to inspire and lead cross-functional teams - your relationship-building skills are critical to success
Experience partnering with business stakeholders and leading through operational change to drive internal product adoption
Excellent communication skills - you'll need to articulate complex concepts to diverse audiences
Experience using data to inform priorities and evaluate impact of initiatives
Direct experience building data security and/or access management products
Experience with entertainment/media industry content security is a plus
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $120,000 - $515,000.

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In This Role, You Will:
Develop, lead, and execute an insights program that will build a strong understanding of consumer and fan needs in sports & sports entertainment today - in order to inform a variety of business decisions across programming, content development, communications strategy, and member experience.
Drive understanding of how Sports content complements and enhances our primary TV and movie programming, and identify opportunities for growth.
Own the partner relationship with Content & Marketing executives who focus on live sports, establishing a trusted, consultative partnership.
Develop innovative approaches & establish best practices for sports research.
Socialize your research and findings throughout the company, acting as the primary voice for sports insights.
Partner closely with other CI researchers (especially UX and regional), data scientists, analysts, and strategists to identify business needs and build holistic narratives to drive the business forward.
About You
At least 7+ years of hands-on, mixed-methods research experience.
A passionate fan of sports & entertainment!
A sports audience expert with a comprehensive understanding of the industry, including trends, audience & fan behaviors, and competitive landscape.
Experience in designing, planning, executing, and socializing research projects end-to-end.
An analytical mindset; you love digging into data for hidden connections and patterns, and know how to balance analytical rigor with pragmatism and actionability.
A phenomenal communicator; strong storytelling skills with experience turning data into insights and socializing across different departments (from content/creative to data scientist to high-level executive).
An excellent collaborator; able to build strong relationships both within your team and with business partners.
Independent thinker who likes taking initiative and approaches problem-solving with an innovative mindset; you focus on long-term solutions and making an impact at scale.
Comfortable with ambiguity and thinking through multiple perspectives; stays grounded in the face of change.
A master of prioritization and time management, both the big picture and in terms of your own time.
Experience with the following is a bonus, but not required
Entertainment research experience (e.g., TV, film, streaming, short form, gaming), particularly with other types of live or interactive programming.
International research experience.
Advanced degree in research, social sciences, statistics, or related field.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $130,000-$470,000.

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In this role, you will:
Design and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.
Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.
Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.
Participate in model development and propose scalable designs.
Champion and facilitate software engineering best practices within the team.
About you:
Proven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.
Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.
Proficient in cloud infrastructure, including S3, Docker containers.
Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
Passionate about transforming ideas into products and enhancing user experience.
Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
Bonus experience:
Experience building end-to-end multimedia systems and algorithms.
Deep experience with AWS and understanding of FSx.
Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
Experience in the content creation domain, such as visual effects or animation.
Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.
Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.
$150,000 - $750,000
These jobs might be a good fit