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Process Lead (Spanish), Alexa Shopping Operations

Amazon

Process Lead (Spanish), Alexa Shopping Operations

Amazon

Gurugram, HR, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health benefits

Competitive salary and bonus

Flexible work

Parental leave

Collaborative environment

Development budget

Healthcare

Parental Leave

Required Skills

Excel

SQL

Tableau

At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.
Key job responsibilities
The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to:

  • Experience in managing process and operational escalations
  • Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal
  • Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations
  • Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps
  • Be a SME for the process and a referral point for peers and junior team members
  • Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources
  • Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes
  • Ability to perform deep dive in the process and come up with process improvement solutions
  • Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (La Es) to support launches of new process and services

Basic Qualifications

  • Bachelor's degree or equivalent, or 3+ years of work experience
  • Excellent level of English and Spanish, C1 level or above.

Preferred Qualifications

  • Experience with Artificial Intelligence interaction, such as prompt generation.
    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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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