HelloFreshNew York, NY, United States$190k-$233k15h ago
AmazonPosted 1mo ago
Sr Technical Program Manager, Selection Monitoring at Amazon scores 64 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Similar roles
Product roles rated AI Level 3 at other companies.
TruvetaRemote · Hyderabad, India16h ago
DatabricksRemote · Remote - California; Remote - Virginia; Remote - Washington D.C.$182k-$250k1d
PinterestRemote · San Francisco, CA, US; Remote, US1d
DatadogNew York, New York, USA$192k-$240k1d
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step



