Netflix is looking to innovate on how entertainment is imagined, created, and delivered to a global audience by optimizing and automating the content creation process through data-driven insights and decision support.
Requirements
- Experience building and operating extremely reliable products and services in enterprise settings, supporting critical use cases, including running 24x7 on-call.
- Experience leading high-performing engineering teams.
- Ability to prioritize strategically and align the team’s work with larger business goals. Have the courage to pivot based on broader impacts.
- Ability to deal with ambiguity while creating more clarity for the team.
- Ability to influence the strategic direction of partners and stakeholders.
- Strong technical background. The candidate will serve as a sounding board for technical decisions and effectively communicate those decisions and reasoning across the organization.
- Ability to see through investments in new technologies to help with our content decision-making.
Responsibilities
- Stakeholder management and Product thinking - Ability to manage a team that works with multiple Product, Design, and Data science partners.
- Manage, mentor, and develop early-career talent. Engineering fundamentals and basic coaching on best practices are a necessity.
- Develop an Engineering culture that is Product-focused and opinionated, connecting the dots between Product opportunities and leverage across the Studio ecosystem.
- Ability to operate and drive the Product forward in close collaboration with product management partners. This ability ensures progress and innovation even in the absence of product direction.
- Recognize key contributions from the team and partners to keep them engaged and motivated in a critical space for Netflix’s business. Showcase and celebrate the team’s impact in various leadership forums.
- Foster a strong accountability culture in the team and help them reliably and in a timely manner deliver their roadmap to support the needs of key business stakeholders.
- Act as a credible technical advisor to the team, helping them make thoughtful and informed decisions in ambiguous situations.
Other
- Ability to manage a team that works with multiple Product, Design, and Data science partners.
- Manage, mentor, and develop early-career talent.
- Ability to operate and drive the Product forward in close collaboration with product management partners.
- Ability to influence the strategic direction of partners and stakeholders.
- Ability to deal with ambiguity while creating more clarity for the team.
