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Sales Specialist, Smartbiz

Amazon

Sales Specialist, Smartbiz

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

Required Skills

Sales

E-commerce

Problem solving

Customer service

Are you someone who is passionate about thriving with Zero to One challenges & love building new strategic businesses? Are you driven with a passion for helping customers achieve their full potential through right solutions? Join the Smart Commerce core team as a Accounts Manager.

Who Are We?
The vision of the Smart-commerce team is to digitize brand owners and selling partner by providing a suite of product offerings across the business's lifecycle. Within this, we are building a solution to enable sellers to set up their website and scale their independent online business, serving their customers with the most effective ways possible. In other words, we want to be the one stop shop for all e-commerce needs of small & medium D2C brands.

Key job responsibilities
Your core responsibilities include:

  • Own a portfolio of high-value seller accounts, serving as their primary point of contact for advertising initiatives
  • Analyze campaign performance against key metrics to identify and implement optimizations that help advertisers meet business goals
  • Monitor and communicate campaign progress through regular activity reports and insights
  • Troubleshoot technical issues and respond promptly to advertiser queries, collaborating with internal teams to develop solutions
  • Work cross-functionally with Account Management, Sales, Marketing, and Product teams to resolve issues affecting advertiser performance
  • Identify opportunities to improve Smart Biz and Buy with Amazon products based on customer feedback and competitive analysis
  • Prepare documentation on best practices and frameworks to enhance seller performance

Basic Qualifications

  • 3+ years of sales experience
  • Experience in e-commerce
  • Bachelor's degree or above
  • Experience with marketing platforms (Google Ads, Facebook Ads Manager, Retention tools, etc.)
  • Knowledge of e-commerce platforms (Shopify, Woo Commerce, etc.) and understanding of Key D2C metrics
  • Problem-solving mindset with a customer-first approach

Preferred Qualifications

  • Experience analyzing data and best practices to assess performance drivers
  • Experience working in a fast-paced and highly cross-functional organization
  • Experience with analytics platforms and CRM tools
  • Excellent communication and presentation skills

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.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge