At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Localization at Netflix isn't simply about translation. It's how we make stories feel native to audiences around the world. Every subtitle, dub, title treatment, artwork, and localized experience helps millions of members connect with content in their own language and culture.
The Product Localization Engineering team is reimagining how localization works at Netflix. We build the platforms, products, and AI-powered systems that enable translation, cultural adaptation, and localization workflows at a global scale.
You'll own some of Product Localization's most ambitious initiatives from concept through launch. You'll define how work gets done, create clarity in ambiguity, and partner across engineering, product, design, and business to drive alignment, navigate tradeoffs, and deliver meaningful business outcomes.
We're especially excited to meet people who have built AI-native products and agentic workflows. This includes designing systems where AI agents coordinate work, humans remain in the loop where appropriate, and workflows are orchestrated reliably at scale. Experience with durable workflow orchestration, event-driven architectures, distributed systems, and resilient automation is highly valued. You'll help shape platforms that can reason, coordinate, recover from failures, and continuously improve while operating reliably in production.
This is an opportunity to transform localization into an AI-native platform—rethinking how agents, workflows, automation, and human expertise come together so Netflix can deliver world-class localized experiences to members around the globe.
Qualifications
- Have 7+ years of experience building resilient, high-scale, low-latency systems in production environments
- Have experience building AI-native products, agentic workflows, or intelligent automation in production. You're familiar with the architectural patterns that make these systems reliable, including durable workflow orchestration, event-driven architectures, and resilient distributed systems
- Have hands-on experience with Java or a similar OO language, with a strong understanding of distributed systems, concurrency, performance tuning, and observability
- Are proficient in designing and implementing gRPC, GraphQL, or RESTful APIs
- Have a proven track record of architecting, building, and operating highly available, fault-tolerant production systems
- Have experience leading complex software engineering initiatives from concept through launch, driving execution across multiple engineering teams and cross-functional partners
- Have experience making technical tradeoffs, facilitating engineering discussions, and driving architectural decisions
- Have exceptional written and verbal communication skills with the ability to build alignment across technical and non-technical stakeholders
What Sets You Apart
- You embrace AI as part of your engineering craft. You've fundamentally changed how you build software by incorporating AI into your daily workflow. You continuously evolve your workflow, quickly adopt new capabilities, and know how to pair human judgment with AI, and use it to move faster without compromising quality
- You're product-minded. You care as much about solving the right problem as building the right solution and aren't afraid to challenge assumptions when you see a better path
- You thrive in ambiguity and have a track record of leading 0-to-1 initiatives. You know how to take an idea with no clear path forward and turn it into a successful product or feature
- You take ownership of outcomes, not just execution. You identify risks early, remove blockers, and do whatever it takes to help the team succeed
- You have excellent judgment and know how to balance customer value, technical quality, operational excellence, and speed
- You build trust through transparency, clear communication, and consistent follow-through, and are comfortable influencing without direct authority
- You create momentum. You know when to drive alignment, when to make a decision, and when to move forward despite ambiguity
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 $388,000.00 - $558,000.00.
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 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.