Job Listings

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

*Software Engineer L5 — Machine Learning Build, Productivity, and Reliability Tooling*

Our team builds developer productivity tools to enable Netflix’s machine learning teams. We’re looking for a passionate and talented engineer to join our team of engineers, SREs, and ML researchers.

As part of the team, you will design, build, and maintain tools that are used by our machine learning researchers daily. You will be part of a larger research organization that is responsible for Netflix’s core applied machine learning, which powers our recommendations, personalization, and search algorithms (and many other areas). You will work closely alongside our ML researchers to identify frictions, and to design and build solutions to them.

To be successful in this role, you must have a strong software engineering background, a keen sense of software design, and experience operating large CI/CD systems.

If you are ready to make a difference at a company that matters, and if you want to work with machine learning, and developer tools, in a company that strongly believes in both, then we would love to talk to you.

Requirements:

• 4+ years of software engineering experience with a successful track record of delivering quality results
• Strong software design and development skills (Scala, Java, C#, or C++).
• Experience with large-scale data frameworks such as Spark, Hadoop, etc.
• Experience with parallel and distributed computing
• BS in Computer Science or related field

Preferred, but not required:

• Experience operating and customizing Bazel, or similar distributed build systems (such as Buck, Pants, etc).
• Significant contributions to open source projects
• Experience with machine learning frameworks, such as TensorFlow, PyTorch, etc

Netflix's culture is an integral part of our success, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix has a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Fast-paced innovation in the theory and practice of large language models (LLMs) is greatly helping to advance state-of-the-art in Search and Recommendation experiences. Hence we are looking for exceptional applied machine learning engineers to help us develop the technology to power future member experiences using the latest advances related to LLMs.

This role focuses on aligning and evaluating our member-facing algorithms to deliver high quality recommendations that maximize member satisfaction. In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements. To be successful in this role, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with cross-functional partners. Experience with quality and evaluation metrics for complex ML products, RLHF, human-in-the-loop data pipelines and reward modeling is preferred. You should excel at writing high-quality code, developing tools for model alignment and evaluation, and continuously enhancing quality metrics based on member feedback signals.

*You may be a good fit if you have:*

• Software engineering experience with a track record of delivering quality results.
• Proven experience with large scale recommender systems and the application of rewards to steer model outcomes
• Experience in developing standardized evaluation frameworks for context-dependent systems
• Proven expertise in training, fine tuning, aligning and evaluating LLMs and other large foundation models.
• Proven experience with RLHF, reward models, model quality and evaluation
• Strong problem-solving and debugging skills with complex ML systems
• Strong software development experience in languages such as Python and Java.
• Experience with Spark, TensorFlow, Keras, and PyTorch.
• Experience with GPUs and distributed systems
• Great interpersonal skills.
• Strong communication skills - written and verbal.
• Graduate degree in Computer Science, Statistics, or a related field.

*Strong candidates may also have one or more of these additional areas of experience:*

• Experience as a technical leader.
• Experience working with cross-functional teams.
• Experience in Search, Recommendations, Natural Language Processing, Conversational Agents, and Personalization.
• Experience building tools and capabilities to test and evaluate model robustness
• Experience with cloud computing platforms and large web-scale distributed systems.
• Experience in applied research in industrial settings.
• Open source contributions.
• Research publications at peer-reviewed journals and conferences on relevant topics.

Netflix's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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 - $990,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time

*The Role*

Netflix’s Growth and Commerce Organization is responsible for the business relationship that consumers have with Netflix- including what plans we offer and at what price, how consumers pay for Netflix, and the flows that allow them to sign up, change plans, or cancel Netflix.  This role focuses on our consumer acquisition strategy and how consumers experience Netflix before they enter the app. This includes our signup flow where we sell Netflix to consumers, how consumers log-in to Netflix, and how we partner and bundle with other companies. Our Data Science team helps scale data driven decision making in these areas. We deep dive to identify opportunity areas and inform Netflix’s strategy, run AB tests or utilize other causal inference techniques to understand the impact of new experiences and build machine learning to scale rapid innovation in these areas.

*What you'll do*

We’re looking for an accomplished data science and analytics leader to lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You will lead, mentor, and inspire a team of data scientists and analytics engineers to consistently deliver business impact. You'll partner with teams that define consumer experiences before someone is logged in to set business strategy, support long-term technical vision, and drive influence.  You'll keep an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges.  

About you

• Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments
• Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
• Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning
• Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions
• Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
• Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders

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 $360,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Algorithms team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links:

• Consolidating ML models
• InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
• Evidence Personalization
• Page Simulation for Better Offline Metrics at Netflix
• RecSysOps

As a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.

What we are looking for:

• A degree in Computer Science or a related field
• 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degree
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Solid understanding of various software engineering best practices and their appropriate application
• Experience building web-scale parallel and distributed computing systems
• Experience with large-scale data frameworks such as Spark or Flink
• Excellent collaboration skills
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems

Preferred, but not required:

• Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.
• Experience building machine learning models or LLMs
• Experience scaling and optimizing the training and serving of machine learning models
• Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras
• Experience with cloud computing platforms like AWS
• Background in math, statistics, or numerical computation
• Significant contributions to open-source projects

*Note: Level and compensation are determined based on your demonstrated experience, skills, and interview performance. We have several open positions within the personalization, search,  and recommendations space. The specific role will be determined based on the candidate's skills and fit, which will be evaluated after the initial round.*

What do we offer:

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.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

About Netflix:

Netflix is one of the world's leading entertainment services with over 247 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. 

We recently launched a new ad-supported tier to offer our members with 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 immersed.

Our Team

The Ads Platform team builds the advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them and Netflix’s advertising policies and contracts are thoroughly enforced.

Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time. 

The Netflix Advertising team is seeking a Product Operational Lead to join the Advertising Product team. The Advertising Product Operations team accelerates product outcomes by building and enabling the people, systems, tools, and processes to grow the rapidly scaling ads products. You will partner with Product, TPM, Engineering, Data Science, Data Engineering, and other cross-functional leaders to establish the operational framework for the advertising product team.

We are searching for an operational expert who is highly organized and execution-driven in the product management space. You exhibit a strong sense of responsibility and ownership of driving successful operational practices. You thrive in dynamic environments and work with a high degree of autonomy.  While the full scope of the role will extend beyond, the initial focus will be on establishing and maturing release management capabilities, managing and tracking OKRs, scaling product support triage processes, and maturing product ideation.

*What you'll be doing*

• Partner directly with Product Management and cross-functional teams to successfully implement and mature operational frameworks
• Scale product life cycle management activities including release management, support triage, and product ideation
• Foster outcome-driven product management through OKR management and tracking
• Enhance the operating framework for the advertising product team
• Own the operationalization of product processes, artifacts, reporting, analysis, and stakeholder evangelization
• Lead improvement initiatives to scale the Advertising product organization

*We’re seeking a candidate who has:*

• 8+ years of Product Operations, Program Management, or Product Management experience
• Demonstrated ability to design and implement operational change programs
• Demonstrated ability to own and enhance operational processes and frameworks
• Expert with a variety of product development processes and methodologies
• Experience with product development and cross-functional processes
• Experience with executive stakeholder communications, reporting, and evangelization
• Experience with a variety of project management and product development tools
• Outstanding written and verbal communication skills
• Knowledge of the advertising technology industry is preferred

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.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

As Netflix continues to grow, we are venturing into exciting new frontiers of personalization and discovery to help our members find the content they will most enjoy. 

Fast-paced innovation in the theory and practice of generative models, particularly, large language models (LLMs) is greatly helping to advance the state-of-the-art of Search and Recommendation experiences. Hence we are looking for an exceptional research engineering manager to help us develop the models and technology to power future experiences using the latest advances related to LLMs and other generative models. 

In this role, you will lead a group of talented machine-learning researchers to develop foundational models that will be used in multiple downstream applications such as Search, Recommendations, Personalization, Messaging, etc.

In this role, you will be responsible for building and leading a team of world-class engineers and researchers doing cutting-edge applied machine learning. You will cultivate a vision and strategy for the team aligned with our mission and guide innovation projects from end-to-end: research ideas to production A/B tests. 

To be successful in this role, you need to have a strong machine learning and engineering background, be data-driven, have a passion for personalization, have an execution focus, a love of learning, and have the ability to partner well with multi-disciplinary, cross-functional teams and stakeholders. You also need to be great at giving and receiving feedback, championing new ideas, fostering an inclusive team culture, mentoring, empowering others, and balancing the needs of both engineering and research.

What we are looking for:

• Experience leading a team of machine learning engineers and researchers.
• Passion for mentoring and growing people as well as building high performing research teams
• A track record of leading successful real-world applications of machine learning.
• Experience in building effective research roadmaps with ambitious goals
• Ability to lead in alignment with our unique culture.
• Broad knowledge of machine learning with a strong mathematical foundation.
• Strong understanding of software engineering and large-scale distributed systems.
• Great interpersonal skills.
• MS or PhD in Computer Science, Statistics, or a related field.

You will ideally have experience with:

• 10+ years of total experience including 5+ years of machine learning management.
• Expertise in Deep Learning and NLP
• Leading teams focused on applied machine learning and research engineering.
• Experience working on large-scale, consumer-facing machine-learning applications.
• Publishing and reviewing at peer reviewed conferences and journals

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 $190,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix has a unique culture and environment. Learn more here. 

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The Content Performance and Analytics Enablement Data Science and Engineering team accelerates the delivery of analytics insights to the Content and Marketing organizations, ensuring that the decision makers responsible for spurring conversation and fandom around our brand, films, shows and games have the information they need to make the most informed decisions possible. We do this in a number of ways, but in particular, the embedded side of the team does it through deep partnerships, domain context, and full-stack analytics and science capabilities.

We are seeking an experienced leader in data science and analytics to lead a stunning team of analytics engineers and data scientists who are embedded with business teams in the Marketing organization.  In this fast paced role, you will have the opportunity to partner closely with the business to gain deep domain context critical to helping your team execute on projects that directly impact key decisions made about fueling Netflix’s presence in pop culture and fostering passionate fandoms . You will also be a critical connection point for your team between the breadth of innovative work happening in Data Science and Engineering and how to apply it to solve day-to-day business problems.

Responsibilities:

• Lead a team of data professionals with end-to-end responsibilities to deliver analytics solutions to decision makers
• Hire, inspire, coach and grow a high-performing and inclusive team that serve as trusted partners to the business
• Build and maintain strong partnerships with strategy, business and peer teams within DSE and CI to gain and share context, define and influence roadmaps, and connect the dots for your team so they can execute on high impact projects
• Provide vision and oversight to your team, ensuring they are delivering value commensurate with the investment Netflix has made in them

The ideal candidate:

• You have five or more years of people leadership experience, preferably leading a multi-function data team (mix of data engineering, analytics practitioners, data scientists, and machine learning)
• You have strong technical experience and expertise in end-to-end data practices including data engineering, business intelligence, descriptive and diagnostic analytics, and storytelling with data. You are particularly adept at understanding the interactions and dependencies between these functions and when to employ which practices
• You understand how to manage in an environment where the supply of time is far less than the demands placed on it in a way that protects your team from burnout while delivering true value to the business
• You are passionate about delivering actionable insights to improve the business and excel at partnering with non-technical teams as well as technical
• You utilize strong judgment and effective entrepreneurship in identifying and framing opportunities in greenfield areas
• You utilize strong people leadership skills to gain the trust of your team so you can effectively lead and develop them
• You have exceptional verbal and written communication skills with a wide variety of technical, business, and creative stakeholders

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 $360,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Tags: ResearchSite

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is a technical powerhouse, with infrastructure that powers a high performance, high reliability and high scale entertainment service. Our members want a seamless, immersive Netflix experience, and we deliver it with an intricate set of systems working together behind the scenes. Video and audio must be encoded into different formats and resolutions, distributed across our internally build content delivery network, then adaptively streamed by the wide range of devices our members use to watch the content they love. We have to do this all in cost effectively, securely, and nimbly.  Our data team takes a holistic approach to measuring and improving these systems and their impact on Netflix members as well as internal engineering teams. As we add new business areas like games, live content, and ads into the Netflix product, we’re asking new questions about how our technology should work and how to best serve our members. 

What you'll do

We’re looking for an accomplished data science and analytics leader to lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You'll primarily partner with software engineering teams to optimize the Netflix streaming product with an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges. 

You have

• Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation and machine learning
• Experience creating and fostering an inclusive team culture
• Experience partnering with technical engineering or product teams
• Demonstrated strength for applying statistics and experimentation to solve problems
• Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact

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 $360,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Client and Partner Technologies team is charted with enabling brilliant Netflix experiences on partner devices and building foundational client systems and tools.  As a Product Manager for TV Platform and Device Partner Technologies, you work closely with cross-functional stakeholders to support our technical strategies to support both internal Netflix initiatives and the foundational needs of the Netflix TV app platform. 

Using both qualitative insights and quantitative metrics to guide decisions and measure success, you will be responsible for driving, developing and executing software product roadmaps. This is a dynamic role interfacing with our ecosystem of device and operating system partners, internal, platform and partner engineering teams to deliver our members the best Netflix experience, while driving efficiency and quality. 

Areas of responsibility include:

• Technologies that are integral to the Netflix-supported device platforms:

• Background in media streaming, video playback pipeline, and picture processing

• Understanding of video & audio codecs/formats and display interfaces
• SmartTV and Streaming Device capabilities  including GPU performance,  AI/ML use cases, and input modalities (Remote/Voice/Touch/ Gesture)

• Go-to-market. Formulate strategies that ensure successful product feature and capability adoption. The strategies will include, but are not limited to:

• External Product Communication. Create and execute consistent, concise and convincing product messaging and communication plans.

• Infield performance. Understand and ensure instrumentation for measuring, studying and monitoring the key metrics for the product while out in the field. Proactively communicate KPIs and ongoing performance to internal stakeholders, and provide necessary business support for QBR presentations.
• Reach and Growth. Working with cross-functional teams, strategize on maximizing the reach of the latest product innovations globally and execute on those strategies.  Understand the value framework and expected impact of various features, clearly articulating to the engineering and business leaders why, and when, various features or enhancements should be delivered.
• Project Management. Oversee the progress of the software features from inception to completion, ensuring all milestones and deadlines are met. Identify potential issues and bottlenecks in project workflows and proactively suggest and implement solutions.

What Sets You Apart?

• Track record of delivering successful features/products/services in technically complex SmartTV and Streaming Devices
• Demonstrate ability to do technical product transformations, finding new opportunities and building them to scale
• Knowledge of media abstraction API’s (gStreamer, OpenMax, Codec 2.0).
• Comfortable working with ambiguity. This role is fast-paced, fluid, and will frequently evolve based on partner, strategy, and product priorities
• You welcome candid feedback and can constructively give it as well
• Self-starter who enjoys quickly bringing organization and direction
• Experience with risk analysis and modeling
• Exemplify the Netflix culture by understanding, advocating, and demonstrating its values

Required Skills:

• 3- 5 years product management experience working on smart TV’s and streaming devices with audio and/or video technologies.
• 3-5 years product management experience delivering product through the creation of product strategy, managing product evolution lifecycle
• Experience improving media-rendering performance on devices
• Ability to think strategically and lean on data to inform decision-making
• Excellent written and verbal communication skills, including the ability to clearly articulate business impact and technical constraints tailored to the audience
• Can balance consumer, partner, and business interests while considering technical integration tradeoffs
• Proven experience creating partnerships with cross-functional teams and organizations, driving large-scale technical execution plans with measurable milestones, debating technical approaches, and building long-term scalable solutions

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 $240,000 - $725,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Netflix is a unique culture and environment.  Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Our Tools, Integrations and Productivity (TIP) team is focused on helping engineers around the world create the Netflix applications quickly and with the highest levels of quality.  We do this with tools and infrastructure that optimize the developer experience.  We tie it all together with sophisticated automated testing and productivity solutions designed to support our culture of experimentation, autonomy and ownership.  We tend to live by our values which will allow you to do your best work and grow.

What you will be doing:

• Develop tools and services that are part of our build and test automation infrastructure with an eye on scaling and reliability
• Innovatively create and develop techniques to automate manual activities in our development process
• Operate in a highly cross-functional environment where you can leverage multiple teams to help our partners be successful
• Set direction and build consensus to drive long-term positive impact on the engineering ecosystem
• Evangelize and drive adoption of software development best practices in code health, quality and test stability through frameworks and information sharing, not rules and process

Qualifications

• We are looking for a creative and highly motivated individual who is excited to take on challenging projects and help drive the future of developer productivity tools.  To be successful in this role, you must have a strong technical background in product development
• Knowledge of developing and managing cloud infrastructure, as well as expertise in utilizing the latest technologies and tools will be essential
• Possession of excellent problem-solving and communication skills and ability to collaborate effectively with other engineers, product managers and product designers
• Ability to collaborate cross-functionally with internal engineering and automation infrastructure teams to propose, develop and deploy tooling designed to optimize core attributes of the developer experience

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 $100,000-$720,000.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.