TV Partner Engineer

About the Job

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

• Identify, drive, and optimize multiple operational Television (TV) workflows and tools internally and with the partners to maximize the partner's success on the platform. Represent the industry’s needs to the Product and Engineering teams.
• Improve operations by developing automation scripts and dashboards. Improve product feature offerings and self-service tools by collaborating with internal cross-functional teams, including Product Management and Engineering.
• Guarantee the technical aspects of a partner’s integration by providing necessary documentation and technical guidance.
• Support the media company partners through technical troubleshooting, influencing, Go-to-Market (GTM) adoption, and internal cross-functional collaboration. Capture trends across partners, advocate their needs internally, and create repeatable processes that can be scaled.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
• 3 years of experience in coding with one or more programming languages (e.g., Java, C/C++, Python).
• Experience with troubleshooting technical issues for internal/external partners or customers.

Preferred qualifications:

• Experience in the media industry, including television and video technologies.
• Experience with data analysis and writing SQL queries.
• Experience with building with Artificial Intelligence (AI) technologies.
• Excellent organizational, prioritization, and communication skills.