Process Lead, Alexa Shopping, Alexa Shopping

Amazon Inc.

Chennai District

On-site

INR 900,000 - 1,500,000

Full time

7 days ago
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Job summary

Amazon Inc. is seeking a Process Lead for Alexa Shopping (Level 4) in Chennai. You will lead end-to-end annotation efforts, coordinate with global feature teams, and drive data-driven process improvements and automation projects across the organization.

You will collaborate with SMEs, train L2/L3 associates, and manage stakeholder expectations while upholding Amazon's operational excellence and customer-centric values.

Qualifications

  • Experience collaborating with cross-functional teams.
  • Fluent in English (spoken and written).
  • Experience in fast-paced operational environments.
  • Experience enabling automation and data analysis to streamline challenges.
  • Ability to interpret complex SOPs and ensure adherence.
  • Led process improvement initiatives and implementation plans.
  • Drive cross-functional optimization to achieve operational excellence.

Responsibilities

  • Lead end-to-end annotation tasks and coordinate with cross-functional teams.
  • Manage stakeholder communication across multiple business lines on milestones and changes.
  • Create and track process metrics; drive data-driven improvements.
  • Identify process gaps and implement automation-driven solutions.
  • Train L2 & L3 associates; mentor junior team members.
  • Support hiring and performance reviews; build consensus on challenging issues.
  • Collaborate with SMEs to launch new processes and services.

Skills

Cross-functional teams
English fluency
Fast-paced operations
Automation/analysis
Troubleshooting
SOP interpretation
Process improvement
Cross-functional optimization

Tools

CSV
JSON
Markdown
Python
Machine Learning

Job description

Process Lead, Alexa Shopping (Level 4)

Alexa Shopping Operations strives to become the a 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'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 cutting-edge 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.

We are seeking process leads to join our Alexa shopping operations team. The Process Lead will work with a team of talented individuals, responsible for end to end annotation tasks. The job involves stakeholder connect, process transition, creating metrics, work prioritization, be the subject matter expert for the process, understand annotation needs and create/update process SOPs, train L2 & L3 associates, identify process improvement opportunities and drive solutions quality KRAs for this team.

They will be the first point of contact to the Alexa Shopping's feature teams worldwide and must therefore be comfortable and confident liaising with remote teams.

The successful 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
  • Support Ops manager in hiring, identifying high & low performers within the team, work cross-functionally, and build consensus on difficult issues
  • 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 through automations
  • Shall collaborate effectively with other teams and subject matter experts (SMEs) to support launches of new process and services
Basic Qualifications
  • Experience collaborating with cross-functional teams
  • Speak, write, and read fluently in English
  • Experience working in a fast-paced, rapidly changing operations environment
  • Experience in creating process improvements with automation and analysis, or experience troubleshooting problems and offering solutions to streamline complex challenges
  • Analyze and interpret complex Standard Operating Procedures (SOPs) to ensure organizational adherence.
  • Lead process improvement initiatives and develop actionable implementation plans.
  • Drive cross-functional optimization efforts that deliver measurable operational excellence
Preferred Qualifications
  • Knowledge of CSV, JSON, Markdown or python
  • Knowledge of machine learning models

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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