Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Adobe Digital Experience Customer Support team provides round-the-clock technical assistance for the Adobe Experience Cloud solutions. They are the key personnel between customers and internal groups to maintain customer satisfaction with our solutions and resolve customer issues. Technical Support Consultants deliver accurate and timely technical support to Adobe customers. They handle support issues of sophisticated and technical nature with varying degrees of priority. They address incidents within predetermined service levels, requiring the capability to prioritise and handle various tasks at the same time. The Premier Support Named Support Engineer is the primary support contact for designated Premier Elite and Premier Enterprise customers within the APAC region. The Technical Support Consultant performing this function orchestrates the delivery of proactive services designed to manage and mitigate the risk and support the successful operation and adoption of Adobe solutions in key accounts.
What you'll Do
Drive measurably high levels of customer satisfaction that lead to customer loyalty and retention
Provide customer support via telephone, web-conferencing, portal, and email
Be the Named Support Engineer for Elite & Enterprise Premier Support Customer Accounts in region
Act as a customer advocate, ensuring all customers’ voices are heard inside Adobe!
Collaborate closely with engineering and product management to ensure customers’ desires for future product direction are heard
Address customer questions and concerns, large and small, in an effective and timely manner
Understand the real-world impact that product issues and defects can have on our customers and their business
Work closely with customers to understand their business and how best to assist them in successfully using Adobe Audience Manager
Assist in testing new and enhanced product features
Accurately and professionally record, manage, and maintain incidents within stated timelines and in accordance with department standards
Investigate, validate, and report customer submitted bug reports
Assist Product & Cloud Engineering staff in resolving product issues
Partner with Technical Account Managers and Customer Success Managers
What you need to succeed
Either a Bachelor or Master’s degree in Computer Science and 3+ years’ experience in enterprise customer support environment or equivalent practical experience
Excellent communications skills (presentation, written, and verbal). Able to communicate effectively with all levels of professional staff.
Excellent organisational skills: ability to prioritise, manage, and execute tasks multi-functionally
Ability to explain complex concepts simply
Knowledge of Internet/Digital Marketing concepts
Experience with SQL and database management
Experience with data insertion and reporting APIs, SOAP, REST and PHP
Knowledge of Mobile and Video programming solutions
Knowledge of Experience with Tag Management tools
Desirable to have experience using Adobe Solutions like, Analytics, Target, Audience Manager, Platform (AEP) or other web analytics and optimisation tools, in or out of the Adobe Marketing Cloud
Demonstrable ability to diagnose and solve sophisticated implementation issues
Practical understanding of JQuery, Angular JS, or any JS Framework
Working knowledge of API (Application Programming Interface)
Ability to identify, research and quantify business problems using statistical analyses on large data sets