Senior Programmatic Solutions Consultant – Technical, Amazon Ads at Amazon Corporate Services Pty Ltd
Xinbei District, Jiangsu, China -
Full Time


Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Programmatic advertising, Technical troubleshooting, SQL, Python, DSP architecture, API integration, Data analysis, Technical writing, Incident management, Root cause analysis, Cloud computing, Ad tech, Automation, Customer support, Project prioritization, Mentoring

Industry

Software Development

Description
Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including sponsored, display, video, and custom ads - leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. Within Amazon Ads, the Ad Tech Sales and Services team is focused on developing strategic partnerships across advertising agencies and direct clients. At the center of our partnerships with customers are meaningful and scalable technology partnerships, of which services are a core constituent. Our Amazon DSP team is looking for a Senior Programmatic Solutions Consultant - Technical to join Amazon Ads' growing team based in Shanghai. In this role, you will independently resolve customer campaign execution issues and blockers by providing knowledgeable and responsive technical support to our enterprise customers: programmatic trading desks. You will have ownership for issue investigation: identifying campaign configuration and software defects, reproducing in-depth and complex cases across our DSP product and processes, and researching solutions to unblock customers. This is a complex environment, as you will own the most critical part of the customer experience and deliver on our customers’ most basic need. While we obsess over incident response, in this role you will also develop tools to scale our service quality, and provide critical input for product prioritization to address root causes of why the customer experienced an incident in the first place. Our advertising customers are likely Amazon customers, and we take seriously maintaining the high customer service bar set by Amazon. Key job responsibilities - Independently handling complex customer issues by reproducing cases, root cause analysis, and providing prioritization input - Demonstrating deep technical expertise and advanced problem-solving for critical programmatic advertising issues - Serving as an escalation point, owning resolution of the most complex, cross-organizational issues - Communicating directly with internal teams to investigate, define workarounds, and resolve defects - Providing advanced, proactive support across Amazon's advertising tech suite, including Amazon Ad Tag(AAT), Conversions API(CAPI), Ads Data Manager(ADM), and AMC-AWS Clean Rooms - Prioritizing issues using case management tools based on customer impact - Contributing to training and documentation for internal and external users - Automating standard procedures through scripting and data APIs to analyze high-volume transaction data - Proactively identifying solutions, communicating trends, and suggesting customer experience improvements - Developing and mentoring peers to enhance technical skills in programmatic advertising and troubleshooting - Driving continuous improvement and shaping support strategy and technology approach - Identifying emerging issues and influencing product prioritization through technical investigation Basic Qualifications: - 5+ years of programmatic advertising experience - 6+ years of technical troubleshooting or similar experience - Experience in technical writing in a relevant field - Knowledge of DSP within ad platform architecture (bidding engines, second-price vs first-price auctions, pixel and tag managers, cookies, viewability, etc.) - Experience in customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - Proven track record of executing SQL queries, ranging from basic to intermediate levels, on various database systems for the purposes of troubleshooting and quantifying the impact of technical issues Preferred Qualifications: - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience leading prioritization of tasks, team scheduling, time management, and meeting deadlines - Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools - Familiarity in working in Cloud eco system (e.g. AWS, Azure, etc.), Amazon Marketing Cloud (AMC), AAT, CAPI etc. - Ability to effectively call and integrate with various APIs to gather and leverage data for troubleshooting and problem-solving - Experience in working with diverse data formats, such as JSON and log files, to extract and analyze relevant information Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Responsibilities
The role involves resolving complex programmatic advertising issues for enterprise customers through deep technical investigation and root cause analysis. Additionally, the consultant will develop tools to scale service quality and influence product prioritization based on technical insights.
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