Business Intelligence Engineer- II, Sales AI
Amazon - Bengaluru, Karnataka, IND
Posted Jun 10, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Business Intelligence Engineer- II, Sales AI Bengaluru, Karnataka, IND Are you interested in shaping the future of Advertising and B2B Sales? Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, delivering billions of ad impressions and generating billions in revenue. We are looking for a Business Intelligence Engineer to join our team and build the data foundations that power an advertiser context center - the contextual backbone behind our AI agents. You will design data models, build pipelines, and create the analytical infrastructure that enables our agents to serve rich, accurate advertiser context to account teams at scale.This role sits at the intersection of data engineering, analytics, and AI. You will define how advertiser data flows from dozens of source systems into a unified context layer that agents can reason over - while also building the reporting and measurement systems that help us understand agent performance and business impact. Why You Will Love This Opportunity - Impact at scale: Your data pipelines and models directly power AI agents used by thousands of account managers serving Amazon's largest advertisers globally. - Greenfield data architecture: The advertiser intelligence center is being built now - you'll define how data is modeled, integrated, and served from the ground up. - AI-adjacent work: Build the data substrate that LLM-based agents consume - a new class of data engineering problem. - End-to-end ownership: From raw source ingestion to agent-ready serving layers to business impact measurement. - Entrepreneurial team:We move fast, experiment often, and
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