Sr Technical Program Manager, Selection Monitoring

Amazon

Bengaluru

On-site

INR 3,500,000 - 6,000,000

Full time

14 days+
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Job summary

Amazon is seeking a Senior Technical Program Manager to lead the Selection Monitoring team in Bengaluru. You will drive cross-functional programs spanning multiple 2PTs, coordinating with internal teams and external stakeholders to deliver large-scale GenAI/LLM-enabled information extraction and data processing initiatives.

The role requires deep technical program management experience, with a focus on automation, scalable architectures, and reducing HITL interventions to enable autonomous

Qualifications

  • 7+ years direct collaboration with engineering teams.
  • 5+ years of technical product or program management experience.
  • 5+ years of technical program management with software engineering teams.
  • Experience managing programs across cross functional teams and coordinating releases.
  • Bachelor's degree in engineering, computer science or equivalent.

Responsibilities

  • Own end-to-end delivery of complex technical projects across multiple 2PTs.
  • Coordinate across internal SDO teams and external stakeholders.
  • Engage with GenAI/LLM-based information extraction and data processing systems.
  • Drive HITL reduction and automation to scale operations.
  • Manage discovery and extraction workflows feeding WPC and ASIN creation.
  • Coordinate LLM-powered solutions deployment across the pipeline.
  • Communicate status and risks to senior leadership; influence outcomes.
  • Establish program mechanisms for predictable delivery and risk tracking.

Skills

Engineering teams collaboration
Program management
Cross-functional coordination
Release planning

Education

Bachelor's degree in engineering or CS

Tools

GenAI/LLM systems

Job description

Description

We are seeking a Senior Technical Program Manager (Sr. TPM) to join the Selection Monitoring team. In this role, you will drive and deliver complex, cross-functional technical programs that are critical to the selection discovery and extraction components of Amazon's Selection Gap Closure and World Product Catalog (WPC) initiatives. You will operate at the intersection of multiple two-pizza teams (2PTs) and collaborate closely with external stakeholders to ensure seamless execution of large-scale programs. The systems you will work across leverage Generative AI and Large Language Models (LLMs) extensively for information extraction, content understanding, and intelligent automation — and a key outcome of your work will be reducing Human-in-the-Loop (HITL) dependencies to enable fully autonomous, scalable operations.

Key job responsibilities
  • Program Leadership: Own and drive end-to-end delivery of complex technical projects spanning multiple 2PTs across SDO, ensuring alignment on goals, timelines, and dependencies

  • Cross-Team Coordination: Serve as the central coordination point across internal SDO teams and external stakeholders, managing interdependencies, resolving blockers, and driving alignment across organizational boundaries

  • Technical Depth: Engage deeply with large-scale information extraction, data processing, and orchestration systems — many of which are powered by GenAI/LLM-based models — to understand technical constraints, identify risks, and drive informed trade-off decisions

  • HITL Reduction & Automation: Drive programs that systematically reduce Human-in-the-Loop interventions by leveraging GenAI/LLM capabilities, enabling the organization to scale operations without proportional headcount growth

  • Selection Gap Closure – Discovery & Extraction: Drive the selection discovery and extraction workstreams that feed into the broader Selection Gap Closure program, including source identification, web crawling, and product data extraction from off-Amazon websites World Product Catalog (WPC) – Discovery

  • Extraction: Own the SDO-scoped delivery of WPC's selection discovery and extraction pipeline — ensuring product data is reliably discovered, crawled, and extracted at scale to feed downstream ASIN creation and catalog enrichment systems

  • GenAI/LLM Program Delivery: Coordinate the development and deployment of LLM-powered solutions across the selection discovery pipeline — including autonomous web navigation, intelligent content extraction, and automated data transformation

  • Stakeholder Management: Communicate program status, risks, and milestones to senior leadership and cross-functional partners; influence without authority to drive outcomes across teams

  • Operational Excellence: Establish and maintain program mechanisms (e.g., status reviews, risk registers, dependency tracking) to ensure predictable delivery and early identification of issues

  • Scaling & Automation: Identify opportunities to improve program efficiency through better tooling, AI-driven automation, and process optimization across data pipelines and orchestration workflows

Basic Qualifications
  • 7+ years of working directly with engineering teams experience

  • 5+ years of technical product or program management experience

  • 5+ years of technical program management working directly with software engineering teams experience

  • Experience managing programs across cross functional teams, building processes and coordinating release schedules

  • Bachelor's degree in engineering, computer science or equivalent

Preferred Qualifications
  • 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience

  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules

  • Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

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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