About the job

Description

Come be a part of the mission to improve children’s lifelong outcomes by helping them connect with adult loved ones, no matter how near or far. We are a smart team of doers that work passionately to apply cutting-edge advances in technology and to solve real-world problems that will transform our customers’ experiences in ways we can’t even imagine yet.

Description of Glow: “A new-to-world virtual, connected, and projected interaction model designed to help children and remote loved ones play, create, read, learn and have fun together as if they are right next to each other.”

#GlowCareers

Location: Flexible with preferences to Seattle, Austin and the Bay Area Ca.

We are looking for an individual to own building and managing customer engagement models, specifically in our games experience. This role sits at the intersection of product management, marketing, software, and business to ensure we are rapidly identifying and improving the customer gaming experience. As a new technology, we need someone who is undaunted by the unknown and uses customer data to illuminate the path forward for our team. You will be in the driver’s seat as we invent the future on behalf of our customers.

The ideal candidate has a track record of leading a cross-functional team through ambiguous and high-pressure entrepreneurial situations, has impeccable communication and project management skills, and has demonstrable experience developing new data model. You will need to be comfortable developing and implementing a strategy then iterating as you learn. We value a test and learn approach and looking for someone who has the ability to own projects and work autonomously to deliver results that scale as the business grows.

Key Responsibilities

Own games customer engagement

Develop and define new customer engagement models that delight customers each and every time they use our product

Partner with Product Managers, LiveOps, and Games Producers to define and implement product changes

Partner with Business Intelligence and Software to build a robust data catalog and reporting tools

Identify, define, and implement A/B testing to continually innovate on behalf of the customer

Dive deep into customer usage to identify customer pain points and develop solutions to resolve

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.


Basic Qualifications

• BA/BS in technical or quantitative discipline
• 8+ years of experience with data scripting languages (e.g SQL, Python) and statistical/mathematical software (e.g., R, SAS, Matlab)
• 3+ years in the gaming industry; working knowledge of development process, live-ops, and customer engagement
• Direct experience with developing and implementing clustering models to drive business results
• Proven ability iterate through a build, measure, and iterate mentality leveraging A/B testing and statistical analysis
  

Preferred Qualifications

• Master’s degree or PhD in computer science, statistics, information systems, economics, mathematics or similar
• Working knowledge of machine learning tools and techniques
• Experience communicating technical concepts to business leaders
• Ability to prioritize and manage competing priorities
• Experience working in a start-up environment where priorities quickly shift and invention is mandatory
• Mobile apps and multiplayer gaming experience
  

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us


Company - Amazon.com Services LLC

Job ID: A1696200