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Senior Programmatic Solutions Consultant, Amazon Ads
Amazon Ads is seeking a Senior Programmatic Solutions Consultant to join our team supporting Amazon DSP customers.
Amazon Ads helps brands create experiences that delight customers and deliver meaningful results. With 300+ million worldwide active customer accounts, and first-party insights based on shopping, streaming and browsing signals, brands can craft relevant campaigns that enhance customer experiences. Our solutions on Amazon.com, services like Twitch, IMDb TV, Alexa, Amazon Music, and partnerships with third-party publishers and exchanges make Amazon Ads the ultimate amplifier for brands to reach the right audiences in the right places, both on and off Amazon.
Our programmatic advertising platform, the Amazon Demand Side Platform (DSP), is becoming increasingly popular with major advertisers and agencies worldwide. We believe we understand e-commerce advertising better than anybody else and want to turn it into a science of its own that all users can leverage for their programmatic advertising.
As a Senior Programmatic Solutions Consultant (Sr. PSC), you will manage the end-to-end experience of our enterprise customer, known as programmatic trading desks. You will drive success by developing customer expertise in our programmatic advertising DSP. The Senior Programmatic Solutions Consultant has experience in advertising technology and the programmatic advertising domain, and is leveraging this expertise to help our customers meet and exceed their business objectives. In this customer-facing role, you will work closely with programmatic traders at agencies/advertisers, as well as Amazon Ads internal sales, product, and support teams to address customer needs.
A typical Sr. PSC engagement with our customers could include onboarding new traders, delivering trainings on new product features, assisting a customer with a beta feature, consulting in business strategy and planning discussions, providing oversight in execution of campaign strategy, developing campaign optimization recommendations and monitoring their impact, conducting deep dives to determine root causes of issues and informing customers of the best course of action.
You will advocate for customer in internal forums, provide troubleshooting support and triage when needed, and simplify and propagate customer feedback to inform product and services design. Sr. PSCs operate as trusted advisors to customers every day, and ensure customers gradually develop into a proficient users of our DSP, who see Amazon DSP as their preferred means to their goals.
You will be passionate about understanding customer objectives, and address them using our book of services and engagement best practices, to drive adoption of Amazon technologies. Your ownership, curiosity, and domain knowledge will allow you to comprehensively understand the details of our offerings and be able to speak to these to our customers with passion, authority, empathy, and clarity.
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Key job responsibilities
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Owning the relationship with programmatic trading desk managers, engaging with multiple customer organizational levels to understand business objectives
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Providing services such as onboarding, trade desk support plans, feature training, continuous product usage consultation, and industry best practices
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Analyzing and interpreting data to identify improvement areas, root causes, and formulate enablement and adoption recommendations
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Driving the evolution of Amazon DSP by assisting customers with product beta participation, capturing customer feedback, and collaborating closely with cross-functional Amazon teams (Product Management, Engineering, Analytics, and Specialists)
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Defining and improving processes and tools for the Programmatic Solutions Consultant team to better serve customers
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About the team
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Here at Amazon Ads, we embrace our differences. We are committed to furthering our culture of inclusion. We have 13 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 Amaze Con (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.
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Our team puts a high value on work-life balance. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
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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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Basic Qualifications
- 6+ years of digital advertising and client facing roles with a focus on data analysis experience
- Experience in a client facing consultative role working with large, complex enterprise customers
- 6+ years of programmatic advertising experience
- Experience (technical and operational) with multiple domain areas of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.)
- Experience with annual brand and media planning
- Experience creating processes and improving tools with measurable impact on advertisers
- Experience analyzing data and best practices to assess performance drivers
Preferred Qualifications
- Experience with Doubleclick (XSM, DFP), Ad Juster or Salesforce
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with APIs and technical integrations
- Experience in digital creative production, ad serving, cross-channel attribution, and media analytics
- Experience with SQL databases (querying and analyzing)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 140,300.00 - 189,800.00 USD annually
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
10개 리뷰
3.4
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.0
커리어
3.8
경영진
2.7
65%
지인 추천률
장점
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
연봉 정보
4개 데이터
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 후기
후기 6개
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 17%
부정 83%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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