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
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