Crunchyroll
Crunchyroll is the world's most popular anime brand. We’re an international business focused on creating both online and offline experiences for anime fans, through content (licensed, co-produced, and originals), merchandise, events, gaming, news, and more. 

About the Team

We are a humble team that takes on not-so-humble challenges. 

From supporting the reporting needs of a few stakeholders back in 2015, to building a widely used data platform that provides custom solutions to multiple downstream consumers, our journey has been nothing but exciting. These teams include Analytics and BI, User Research, Accounting, Marketing, Data Science and all the way up to the executives.

Our data platform provides easy access to actionable data in the form of reporting, analytics dashboards, monitoring tools, marketing automation and third-party data integrations.

If you like building highly performant data pipelines, working with petabytes of streaming data, or building awesome third party data integrations, come join us!

Our values - We love open source, encourage collaboration, value opinions, and foster learning.

Location: San Francisco
Our headquarters is located in downtown San Francisco, where our group of cross-functional experts assemble to create experiences for Crunchyroll and VRV’s passionate communities.

About You:

• A strong software engineering background combined with a background or experience in analytics, machine learning, data algorithms, and big data. Masters or PhD in computer science or quantitative fields is desirable.
• 5+ years experience building scalable back-end services using Python, Java, C++, C# or other OO programming languages.
• 5+ years leading data engineering teams.
• Expertise leading, mentoring, training, and/or hiring a team of talented engineers.
• Proven track record of building and maintaining complex data systems
• Exceptional communication skills
• Experience and strong understanding of data processing and tools, including SQL, Map/Reduce, ETL
• Experience with statistical and visualization tools such as Looker, Tableau
• Experience with data technologies such as Hadoop, Kafka, HDFS, Spark
• Agile experience and a sense of urgency
• Experience with Airflow or other workflow schedulers
• Experience with data warehouses such as Redshift/Snowflake and data lake solutions
• Experience with AWS cloud services: EC2, EMR, RDS, S3

A day in the life of our Director of Engineering:

• Recruit, hire, and mentor exceptional software engineers and data scientists
• Hire world-class data engineers and provide technical guidance, career development, and mentoring to team members
• Work with product management, analysts, architects, DevOps, engineering leads, and business stakeholders to define requirements, guide product and architectural vision, lead key technical and design discussions, and prioritize delivery efforts
• Organize and lead a cross-disciplinary team to execute on the data roadmap
• Iterate quickly in an agile development process; release code constantly
• Be involved in all stages of data platform development, from architecture to deployment
• Create a dynamic, collaborative, and fun team environment
• Design and architect solutions for data needs across the entire organization
• Manage the team that builds the infrastructure required for optimal ETL of data from a wide variety of data sources using SQL and AWS 'big data' technologies
• Ensure high availability of data services that provide critical data for analytics, and real-time machine learning services (Feature Stores, Model Stores, etc.) 
• Review, select and integrate next-generation technologies into the architectural strategy as needed.
• Advise business leaders by providing data-based strategic direction to identify and address business issues and opportunities.
• Exceptional problem solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions

Benefits: San Francisco Office

• Competitive salary
• Medical, dental, vision, STD, LTD, and life insurance
• Health care and dependent care FSA
• 401(k) plan with employer match
• Employer paid commuter benefit
• On-site gym, showers, yoga, and wellness classes
• Catered lunch and dinner 4 days per week
• Skilled, passionate, and fun co-workers
• Pet friendly environment - pet insurance and dog friendly office

Ellation

What’s with the name, Ellation? We’re all a cast of characters that get passion and strive to celebrate fandom in all its forms. So we’re building a collection of destinations (a constellation, if you will) that connect people with their passions. Each day, we work to achieve complete fan elation (our vision), starting with popular subscription-video-on-demand brands, Crunchyroll, Rooster Teeth, and VRV. Our team spans across San Francisco, Los Angeles, Austin, Chișinău, and Tokyo to develop the product, design, engineering, marketing, and content that brings our communities of fans together.

Crunchyroll

Crunchyroll is the world's most popular anime brand. We’re an international business focused on creating both online and offline experiences for anime fans, through content (licensed, co-produced, and originals), merchandise, events, gaming, news, and more.

Rooster Teeth

Rooster Teeth is the entertainment company for gamers. A pioneer in digital entertainment, we’ve spent 16 years fostering a passionate worldwide community around original western-style anime, animation, podcasts, gaming personalities, and comedy content. Rooster Teeth’s diversified business encompasses subscription video, live events, merchandise, brand integrations, licensed studio productions, game development, and more.

VRV

VRV is a collection of fandom brands on a unified platform and includes Crunchyroll, Rooster Teeth, Viacom’s NickSplat, and more. Our community connects through immersive content experiences in a digitally-driven environment via bundled subscription, a la carte subscription, or ad-supported options.

We are an equal opportunity employer and value diversity at Ellation. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.