About the Role

Crunchyroll is seeking a Senior Manager, CRM Marketing to lead localized CRM engagement for India and MENA—two of our fastest-growing regions. Based in Mumbai or Hyderabad, this role will own the CRM campaign calendar for the region, balancing high-velocity title moments and catalog beats while bringing our biggest anime moments to life across owned channels.

You will plan and execute high-impact, fan-first campaigns that support title launches and catalog discovery—including new season/series drops, dub drops, mid-season arcs, and finales for top-tier titles. Success in this role requires strong segmentation and analytical judgment, plus the ability to translate IP into messaging that creates an emotional connection with fans.

You'll also act as a subject matter expert for India and MENA, championing transcreation and locally resonant storytelling (not just translation), cultural nuance, and fan-first engagement. You'll partner closely with our global Lifecycle Marketing team that owns always-on lifecycle journeys; in this role, you will serve as a regional advisor and ensure key title moments and local insights are reflected in the broader lifecycle strategy.

What You'll Do

• CRM Campaign Calendar Ownership: Own the CRM campaign calendar for India and MENA across tentpole releases, seasonal beats, and catalog programming, aligning timing, targeting strategy, and channel plans with local and global priorities.
• Go-to-Market Campaigns: Collaborate with regional marketing, brand, programming, and curation teams to design localized go-to-market moments for major content launches, seasonal events, partnerships, and fan activations.
• Segmentation & Audience Strategy: Apply best practices in personalization and segmentation to build targeted campaigns informed by fan behavior, affinities, regional nuances, and language/dub preferences. Partner with Data Science and Growth teams to refine audience definitions, identify opportunities, and improve precision over time.
• Regional Market Expertise: Serve as Crunchyroll's CRM market lead for India and MENA, advising on cultural nuances, local market behaviors, channel norms, and fan engagement opportunities.
• Localized Lifecycle Strategy: Provide regional inputs into India and MENA lifecycle journey strategies across acquisition, onboarding, engagement, retention, and winback, working closely with our Lifecycle Marketing team. Ensure best practices in personalization, segmentation, and lifecycle orchestration.
• Marketing Technology Ownership: Lead campaign execution and performance optimization in partnership with Operations, Martech, and Data Analytics; manage CRM initiatives within Braze (or similar) across email, push, in-app, notification center, and relevant messaging channels, ensuring excellence in configuration, QA, measurement, and reporting. Own content-triggered messaging strategy that supports title moments and engagement in alignment with lifecycle standards and guardrails.
• Cross-Functional Partnership: Work with Regional Marketing, Product, Brand, Content, Creative, Data Science, and GTM teams to create cohesive fan experiences and ensure lifecycle campaigns align with both local and global priorities.
• Performance & Optimization: Analyze CRM campaign performance, identify opportunities, and apply insights to continuously improve effectiveness and fan impact through test-and-learn approaches, including cohort analysis and incrementality-minded measurement.
• Innovation & Experimentation: Stay ahead of market dynamics and messaging ecosystems (mobile-first behaviors, regional languages/Hinglish, WhatsApp norms, payment behaviors, and device/telco ecosystem nuances) to evolve CRM campaign strategy and execution.

About You

We get excited about candidates who bring:

• 8+ years of experience in CRM, retention, or subscriber engagement marketing, ideally within streaming, digital subscription, gaming, e-commerce, or entertainment.
• Strong experience with Braze (or comparable orchestration platforms) with a focus on campaign planning/execution, segmentation, triggers, and multi-channel delivery.
• Deep knowledge of Indian and MENA consumer behaviors, digital marketing platforms, and messaging ecosystems (especially WhatsApp, UPI-driven funnels).
• Strong creative acumen and storytelling ability—capable of translating IP into fan-first messaging that builds emotional connection and drives action.
• Strong analytical skills to interpret performance data, develop insights, and translate them into targeting and creative optimizations.
• Proven ability to collaborate across regional and global teams in a fast-paced, matrixed environment.
• Passion for anime, entertainment, or fan-first brands is highly valued.
• Additional proficiency in relevant regional languages is a plus.
• Bachelor's degree in Marketing, Business, or related field.

About the Team

Our Lifecycle Marketing team designs personalized journeys that drive fan connection, engagement, and loyalty. Through data-driven insights and creativity, we activate the right experiences at the right time across channels—helping anime fans feel seen, understood, and inspired by Crunchyroll.

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Database Engineer for the Data Engineering team, you will be responsible for maintaining and enhancing the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate closely with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting.

About You

We get excited about candidates, like you, because...

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in database operations, or a related role with a focus on data platforms, data stores, data operations.
• Deep experience in RDS and NoSQL is a must.
• Extensive experience with AWS cloud platform and their data-related services.
• Proficiency in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights).
• Proficiency in one or more programming languages (e.g.  Python, Java)
• Strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation.
• Experience in identifying and eliminating the bottlenecks in the system.
• Strong understanding of database internals like types of indexes, schemas, query plans.
• Strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures.
• At least basic knowledge in automation frameworks (e.g., Terraform, Cloud Formation).
• At least basic knowledge and some hands-on implementation of CI/CD pipelines and DatabaseOps practices.
• Experience with data governance, compliance, and lifecycle management.
• Strong problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to independently own and execute projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization.
• Strong communication skills and the ability to mentor and guide junior engineers.

About the Team

The Database Operations Engineering team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure. We focus on standardizing and implementing monitoring and alerting across all datastores to track key metrics like errors, latency, and throughput, and to ensure critical systems are covered. Our team also leads efforts to keep databases up-to-date, implements Infrastructure as Code (IaC) for high availability and performance, and automates key processes to enhance operational efficiency. 

We lead and evangelize the principle of 100% automation. Additionally, we define and document operational requirements, develop incident response processes, and automate monitoring and compliance checks to maintain a secure and reliable data environment. By continuously improving load testing and optimizing data governance practices, we support the overall health and efficiency of our data systems.

Crunchyroll Engineering 

Crunchyroll’s Engineering teams thrive on action, impact, ownership, curiosity, and fan obsession. We embrace evolution, concise documentation, excellence, and empowering engineers. As part of our team, you’ll take ownership of tasks, delivering high-quality results on time, exceeding fans’ expectations. We foster collaboration, fearlessly exploring innovative solutions and challenging the status quo. Our commitment to learning and curiosity drives us to embrace change and tackle complex challenges head-on, revolutionizing the anime streaming experience for our community.

About the role

As a Software Engineer on the Service Monetization Team, you will help shape the future of our Service Monetization Platform. You will architect, build and optimize our subscriptions and payments platform that enables membership and powers revenue collection for Crunchyroll. Working with design, product, quality and data teams, you will solve complex challenges, optimize performance, and enhance user experience, directly contributing to the growth of the Crunchyroll fanbase. 

In the role of Software Engineer, you will report to the Engineering Manager in the Service Monetization organization.

About You

We get excited about candidates, like you, because 

• You’re an experienced and passionate Software Engineer with experience building robust and reliable backend services (2+ years of relevant experience in the software industry) 
• You’re experienced in Java, GoLang, Python, PHP, Typescript or Node.js
• You’re experienced with cloud technologies (API Gateway, Lambda, EC2, RDS, ECS)
• You’re experienced with databases (PostgresDB/MariaDB, DynamoDB/MongoDB)
• You’re experienced in operational excellence (on-call rotations, incident management)
• You excel in an Agile and collaborative environment, where your insights and expertise will help create technical solutions loved by our fans.

About the Team

The Service Monetization organization is responsible for building, maintaining, and securing systems that enable membership and collect payments information for Crunchyroll users. We are directly tied to many streams of revenue and pride ourselves on quality code, service reliability, and teamwork. Our day to day work includes integrations with payment providers, payments fraud detection and prevention, optimizations to reduce passive churn while maintaining PCI compliance. Our services process millions of payments in a highly secure, distributed, and scalable environment that is constantly evolving to meet the needs of both our fans and growing Crunchyroll business!

About the Role

We are seeking a Marketing Science Analyst II to join our Marketing Analytics team in Hyderabad. In this role, you will partner with paid media, growth, and cross-functional teams to measure and optimize marketing performance across digital and offline channels. You will play a key role in campaign measurement, attribution, experimentation, and reporting—translating complex data into actionable insights that drive business growth.

This position is ideal for a highly analytical professional with hands-on marketing analytics experience who is ready to take ownership of measurement frameworks while collaborating across a global organization.

Responsibilities

Campaign Measurement & Attribution

• Support the tracking and reporting of campaign performance by compiling relevant KPIs and spend data. 
• Assist in incrementality testing efforts and contribute to A/B test setup and execution for marketing initiatives. 
• Help evaluate performance using MMM inputs, basic channel lift analysis, and cross-channel measurement frameworks.

Performance Analytics & Optimization

• Track and report key performance metrics including Signups, CAC, CPFT, and payback periods.
• Conduct deep-dive analyses to identify performance drivers and optimization opportunities.
• Assist in maintaining regular campaign reporting across lines of business.
• Develop and refine audience segments for targeted paid campaigns, leveraging data insights to enhance performance

Data Analysis & Reporting

• Write complex SQL queries to analyze large datasets (millions to billions of records).
• Build and maintain dashboards in Tableau (or similar BI tools) to support stakeholder reporting needs
• Collaborate with analytics engineering teams to improve data quality, pipelines, and reporting processes.

Experimentation & Insights

• Assist in executing the test roadmap aligned with marketing goals.
• Apply basic statistical methods to evaluate experiments and measure performance impact.
• Support the translation of findings into clear insights and actionable recommendations.
• Support MMM modeling efforts within Marketing Science by contributing to data inputs and assisting in the interpretation of model outputs for marketing measurement

Cross-Functional Collaboration

• Work closely with PMUA, GTM, Analytics, and Data Engineering teams to align on KPIs and measurement standards.
• Maintain documentation and support alignment across teams.
• Contribute to bi-weekly insights decks and leadership reporting.

About You

• 2+ years of experience in marketing analytics, data analytics, or a related quantitative field.
• 2+ years of experience writing complex SQL queries and working with large datasets.
• Experience with marketing attribution, paid media analytics, and performance measurement.
• Familiarity with marketing tools such as Google Analytics, Braze,Singular, Mixpanel  or similar platforms.
• Strong understanding of:
• Descriptive statistics
• Experimental design and A/B testing
• Key marketing KPIs (CAC, LTV, ROAS, retention)
• Familiarity with statistical methods and exposure to data science techniques (e.g., regression, experimentation, MMM) in a marketing analytics context.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Strong communication skills with the ability to translate complex data into clear, actionable insights.
• Proven ability to collaborate across cross-functional and global teams.
• Bachelor’s degree in Statistics, Computer Science, Engineering, or a related quantitative field.

Good to Have

• Experience with cloud data warehouses such as Snowflake or Redshift.
• Exposure to Marketing Mix Modeling (MMM) or advanced attribution modeling.
• Experience with analytics engineering tools such as Databricks.
• Exposure to automation of marketing reporting pipelines.

A Day in the Life

• Analyze campaign performance across paid social, search, display, and offline channels.
• Evaluate incrementality tests and provide recommendations on budget allocation.
• Build dashboards and automated reports to scale insights delivery.
• Partner with marketing leads to refine KPIs and measurement frameworks.
• Deliver insights to leadership through structured storytelling and data visualization.
• Contribute to sprint planning and collaborate with global stakeholders to drive high-impact analytics initiatives.

About the role

In the role of Senior Software Engineer, you will report to the Director of Engineering - Playback Engineering.

As a Software Engineer on our Playback Telemetry and Observability team, you will actively contribute to the Playback Quality of Experience (QoE) for our fans. This role involves ensuring data consistency across all platforms, allowing for accurate comparisons of playback performance. You'll be responsible for identifying and prioritizing key QoE metrics, with a strong focus on Near Real-Time Metrics, to provide immediate insight into the fan experience. A core part of the job will be improving data ingestion and access pipelines and enhancing alerting and monitoring capabilities to proactively address issues. You will collaborate across platforms, contributing to greater efficiency and intelligence within the Playback Engineering organization.

We are considering applicants for the location(s) of Hyderabad, IN

Core Areas of Responsibility

• Define, prioritize, and ensure the consistent, platform-agnostic implementation of key QoE metrics.
• Drive efforts to monitor and improve the real-time playback experience for fans,
• Enhance the ingestion, processing, and access of playback telemetry data to improve system reliability and data accessibility.
• Strengthen alerting, monitoring, and debugging capabilities to proactively detect and rapidly resolve playback performance issues.
• Create and maintain internal data dashboards that offer easy access to data and support advanced analysis that current third-party tools cannot provide
• Collaborate with cross-functional teams to identify pain points in observability and deliver scalable, reusable solutions
• Advocate for best practices in automation, tooling, and infrastructure across the organization
• Maintain high coding standards and follow best practices in development, contributing to a culture of engineering excellence within the team.
• Participate in design and code reviews, providing feedback to ensure high-quality product delivery and alignment with architectural strategies across the team.
• Support a culture of operational excellence by focusing on efficient and maintainable engineering practices in your day-to-day work.
• Stay updated on industry trends and development technologies by researching and comparing new tools and frameworks to help keep our video platform competitive.

About You

We get excited about candidates, like you, because...

• You are passionate about development and the streaming space, with 8+ years of industry experience.
• You have familiarity with multimedia frameworks and protocols like MPEG-DASH, HLS, and video streaming technologies.
• Strong proficiency in one or more programming languages (e.g., TypeScript, Swift, or Kotlin).
• You have worked closely with product and program management to support technology roadmaps and project goals.
• You can demonstrate experience collaborating with senior engineers and team leads to drive initiatives.
• Experience building automated monitoring dashboards.
• Familiarity with real-time alerting systems.
• Proficiency in observability or monitoring tools.
• Knowledge of video playback technologies is nice to have, but not required.

About the Team

The Playback Engineering team is a growing team of international engineers and technology leaders passionate about providing a world class streaming experience for our millions of Anime fans across the world. We provide and maintain solutions on all major device platforms. Your contributions on this team are front and center to our millions of fans, affecting the daily success of our company.

About the role

We are seeking a Senior Machine Learning Engineer in the Hyderabad area to design, build, and scale machine learning systems that power personalized and data-driven experiences across our digital entertainment ecosystem — including paid VOD streaming, Manga reading, Merchandising, Mobile Gaming, and Music Video platforms. The role will be reporting to the Manager of Machine Learning.

You will work at the intersection of user behavior, content intelligence, and product engagement, building models and systems that both enhance user experience (e.g., personalization, discovery, lifecycle optimization) and generate actionable business insights and services for internal stakeholders. As a senior individual contributor, you will own high-impact initiatives end-to-end and play a key role in shaping the technical direction of ML systems across products.

Core Areas of Responsibility

• Design, develop, and deploy scalable machine learning models that enhance personalization, discovery, engagement, and monetization across multiple product verticals.
• Lead end-to-end ML projects from problem framing and data exploration to production deployment and monitoring.
• Build and optimize robust data pipelines and feature engineering workflows for large-scale behavioral and content data.
• Design and execute rigorous experimentation frameworks (e.g., A/B testing, offline evaluation) to measure model impact.
• Collaborate closely with Product, Engineering, Analytics, and business stakeholders to translate product goals into ML solutions.
• Improve system reliability, scalability, and performance of production ML services.
• Mentor junior engineers and contribute to raising the team’s technical standards and best practices.
• Contribute to the evolution of ML architecture, tooling, and MLOps practices across the organization.

About You

Required Qualifications

• 8+ years of experience building and deploying machine learning systems in production environments
• Strong foundation in machine learning algorithms, statistics, and model evaluation techniques
• Experience working with large-scale user behavior or content datasets
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, xgboost)
• Experience with distributed data processing and data pipeline technologies
• Strong understanding of experimentation methodologies and performance measurement
• Ability to operate independently and drive ambiguous problems to impactful solutions

Preferred Qualifications

• Experience with recommendation systems, ranking models, personalization, or user lifecycle modeling
• Experience in subscription-based digital products, streaming media, gaming, or e-commerce platforms
• Familiarity with cloud infrastructure and production ML services
• Experience optimizing models for real-time or near real-time user-facing applications
  
  

What Success Looks Like

• ML systems you build measurably improve user engagement, retention, or monetization
• Models are reliable, scalable, and well-integrated into product workflows
• Stakeholders trust your technical judgment and rely on your work to inform product direction
• You elevate the team’s engineering rigor and contribute meaningfully to long-term ML platform evolution

About the Team

You will join a fast growing team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making.

About the Role:

Crunchyroll is looking for a Principal Software Engineer to lead the development, architecture, and evolution of our core digital media supply chain systems that power our global streaming platform. 

You will partner closely with the Principal Solutions Architect for Digital Supply Chain, as well as Digital Supply Chain Operations, Production Technology, Business Transformation, and Engineering teams to define and implement the next generation of scalable, automated workflows across video, audio, subtitles, artwork, and metadata. 

This role is hands-on and highly technical, combining deep media pipeline engineering expertise with cloud-native architecture, modern software development, and a strong drive for innovation and modernization across the supply chain ecosystem.

What You’ll Do:

About You:

• Design and build scalable, automated digital media supply chain services across ingestion, transformation, QC, and delivery
• Architect cloud native microservices and event-driven workflows to support high-volume processing of video, audio, subtitle, artwork, and metadata assets
• Partner with the Principal Solutions Architect to translate architectural vision into high-quality, production-ready engineering solutions
• Collaborate with engineering and product leads to define technical requirements, roadmap priorities, and implementation strategies
• Improve observability, monitoring, logging, and operational automation throughout the pipeline
• Drive innovation initiatives, prototyping, and exploration of new workflow optimizations and next-generation supply chain capabilities
• Mentor engineers, participate in design reviews, and raise engineering quality across the organization

What We’re Looking For

• 15+ years of software engineering experience across large-scale distributed or cloud-native systems
• Proven experience building media supply chain, OTT, or DTC streaming workflows
• Strong knowledge of metadata standards, content hierarchy, track mappings, artwork workflows
• Hands-on expertise with AWS or GCP, cloud-native architectures, serverless services, and distributed systems
• Strong development experience in Python, with exposure to Node.js/TypeScript or similar languages
• Experience integrating with MAM, Rights Management, localization, ordering, or entitlement systems
• Ability to influence and lead technical direction across multiple teams without direct authority
• Excellent problem-solving ability and comfort operating in fast-paced, ambiguous environments
• Strong communication skills and ability to shape engineering decisions across the organization

About the Role

As a Senior Software Backend Engineer on the Service Monetization Team, you will help shape the future of our Service Monetization Platform. You will architect, build and optimize our subscriptions and payments platform that enables membership and powers revenue collection for Crunchyroll. Working with design, product, quality and data teams, you will solve complex challenges, optimize performance, and enhance user experience, directly contributing to the growth of the Crunchyroll fanbase. 

In the role of Senior Software Backend Engineer, you will report to the Engineering Manager in the Service Monetization organization.

About You

We get excited about candidates, like you, because 

• You’re an experienced and passionate Senior Software Backend Engineer with experience building robust and reliable backend services (8+ years of relevant experience in the software industry) 
• You’re experienced in Java, GoLang, Python, PHP, Typescript or Node.js
• You’re experienced with cloud technologies (API Gateway, Lambda, EC2, RDS, ECS)
• You’re experienced with databases (PostgresDB/MariaDB, DynamoDB/MongoDB)
• You’re experienced in operational excellence (on-call rotations, incident management)
• You excel in an Agile and collaborative environment, where your insights and expertise will help create technical solutions loved by our fans.

About the Team

The Service Monetization organization is responsible for building, maintaining, and securing systems that enable membership and collect payments information for Crunchyroll users. We are directly tied to many streams of revenue and pride ourselves on quality code, service reliability, and teamwork. Our day to day work includes integrations with payment providers, payments fraud detection and prevention, optimizations to reduce passive churn while maintaining PCI compliance. Our services process millions of payments in a highly secure, distributed, and scalable environment that is constantly evolving to meet the needs of both our fans and growing Crunchyroll business!

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Architect and implement end-to-end LLM-based applications, including chatbots, assistants, search agents, and knowledge discovery tools.
• Design and deploy scalable RAG and GraphRAG pipelines using vector databases (e.g., Opensearch, Pinecone, Mongo) and document chunking strategies.
• Fine-tune and optimize foundation models (e.g., Bedrock, Claude, Nova) for domain-specific use cases.
• Own prompt design and evaluation - build prompt libraries and frameworks that enable rapid experimentation and reuse.
• Develop APIs and microservices to serve LLM-based applications with real-time latency and uptime guarantees.
• Collaborate with data, platform, and backend teams to integrate LLM capabilities into broader Crunchyroll product experiences.
• Monitor and evaluate LLM systems in production for hallucination, latency, cost, and feedback loops.
• Stay up to date with the latest in LLM research, tooling (LangChain, LlamaIndex), and ecosystem advancements.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• 5+ years of experience building production ML/AI systems, with 2+ years specifically focused on LLM applications.
• Hands-on experience with production-ready RAG systems using tools like LangChain, LlamaIndex, or custom pipelines.
• Hands-on experience with GraphRAG, LLMs, Graph and Vector Databases.
• Deep understanding of prompt engineering, prompt templating, and prompt evaluation strategies.
• Experience working with major foundation models (OpenAI, Anthropic, Nova, Bedrock etc.).
• Familiarity with building semantic search systems and working with vector DBs at scale.
• Strong backend/API development experience using TypeScript and knowledge of deploying services to cloud environments.
• Python skills and experience working with AWS cloud platform and MLOps tools (e.g., AWS Bedrock, SageMaker, Databricks, Lambda, ECS/Fargate).

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

About the role

We are looking for a Manager, Machine Learning and Data Science in the Hyderabad Area to lead and scale a team applying advanced Data Science and Machine Learning to a global digital entertainment platform. Our ecosystem spans paid VOD streaming, online Manga reading, Merchandising, Gaming, and Music Video experiences, all centered on deep user engagement and premium content consumption regarding the anime fandom.

In this role, you will manage a team of Machine Learning and AI Engineers, and Data Scientists focused on understanding content, user behavior, and product engagement, and turning those insights into actionable business insights and product features that offer personalized user experiences. You will partner closely with the Director of Data Science & Machine Learning (DSML) to scale both the team and the technical capabilities needed to support a growing, multi-product platform.

This role is ideal for a leader who combines strong technical judgment with people leadership, and who can guide teams from exploratory analysis to production-ready ML systems that directly impact customer experience and business outcomes.

Core Areas of Responsibility

• Lead, mentor, and develop a team of Machine Learning Engineers and Data Scientists, fostering a culture of technical excellence and accountability.
• Drive delivery of ML and analytics initiatives that enhance content discovery, personalization, user engagement, and cross-platform experiences.
• Provide technical oversight on modeling approaches, experimentation, and production readiness to ensure scalable and reliable solutions.
• Translate business objectives into clear ML roadmaps in partnership with Product, Engineering, and business stakeholders.
• Ensure insights and model outputs are effectively communicated to inform strategic and operational decisions.
• Establish and standardize best practices across experimentation, evaluation, deployment, and monitoring of ML systems.
• Identify opportunities to leverage data and ML across streaming, manga, gaming, merchandising, and music verticals.
• Partner with the Director of DSML to scale team capabilities, processes, and long-term technical strategy.

About You

Required Qualifications

• 5+ years of experience in Data Science, Machine Learning, or Applied Analytics
• 2+ years of experience leading or managing technical teams
• Strong understanding of ML systems applied to user behavior, content, or product analytics
• Experience delivering ML solutions that inform business decisions and/or power user-facing features
• Ability to guide technical design and evaluate trade-offs without being hands-on day-to-day
• Strong communication skills and comfort working with product and business stakeholders

Preferred Qualifications

• Experience in subscription-based digital products, media, streaming, gaming, or e-commerce
• Experience with personalization, recommendations, or engagement optimization
• Familiarity with ML platforms, data pipelines, and production ML workflows at scale
• Experience operating in a multi-product or platform environment and cross-timezone collaborations.
  
  

What Success Looks Like

• The team consistently delivers ML-driven insights and experiences that improve user engagement and satisfaction
• Personalized content and service offerings become more effective, measurable, and scalable

About the Team

You will join a fast growing team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Best-in class medical, dental, and vision private insurance healthcare coverage
• Access to counseling & mental health sessions 24/7 through our Employee Assistance Program (EAP)
• Free premium access to Crunchyroll
• Professional Development
• Company's Paid Parental Leave
• up to 26 weeks for birthing parents
• up to 12 weeks for non-birthing parents
• Hybrid Work Schedule
• Paid Time Off
• Flex Time Off
• 5 Yasumi Days
• Half-Day Fridays during the summer
• Winter Break

#LifeAtCrunchyroll ((select from the following job modalities for this role: #LI-Hybrid #LI-remote #LI-onsite))

About the role

Crunchyroll is growing and evolving, presenting unique challenges and opportunities to support millions of anime fans worldwide. The Fan Experiences team provides seamless help to our partners and internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Principal Software Engineer, you'll work on architecting and developing critical consumer-facing applications at scale. You will own technical engagements and be the key driver in finding creative/innovative solutions that lead Crunchyroll’s experiences to the next level.

In this role, you will have the opportunity to lead projects that require close collaboration with other teams like Product, Engineering, Business Development, Program Management, and Marketing. You'll play a key role in improving existing operations, defining and commercializing new solutions, bridging product gaps, automating partner operations, and taking new initiatives from conception to successful deployment. You will lead and develop prototypes and an MVP for testing and deployment of new systems

In the role of Principal Software Engineer, you will report to the Senior Director, Fan Experiences. We are considering applicants for the location of Hyderabad, India.

What We’re Looking For

• Bachelor's degree in Computer Science or equivalent practical experience.
• 15+ years of software engineering experience across large-scale distributed or cloud-native systems
• Hands-on expertise with AWS or GCP, cloud-native architectures, serverless services, and distributed systems
• Strong development experience in Node.js/TypeScript or similar languages
• Ability to influence and lead technical direction across multiple teams without direct authority
• Excellent problem-solving ability and comfort operating in fast-paced, ambiguous environments
• Strong communication skills and ability to shape engineering decisions across the organization

About the Team

The Fan Experiences team at Crunchyroll plays a pivotal role in enhancing and expanding our users' experiences. We collaborate extensively with a diverse network of partners to integrate, test, deploy, and improve the Crunchyroll streaming application, content discovery APIs, and billing integration APIs throughout the device lifecycle, using Crunchyroll tools and data. Our primary objective is to drive growth, open new acquisition channels, and optimize the scope and quality of our services. Situated at the intersection of technology and business, we are dedicated to continually delivering experiences that delight anime fans worldwide.

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.