Amazon Data Systems Lead

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TYPE OF WORK

Part Time

SALARY

8-15 USD

HOURS PER WEEK

15

DATE UPDATED

Aug 20, 2026

JOB OVERVIEW

AMAZON DATA SYSTEMS LEAD
Remote
Project basis to start, ongoing retainer after
Rate: $8-15 USD based on experience

ABOUT LEAVEN
Leaven is a small, high-trust Amazon agency, core team in the Philippines, founder in Europe, clients mostly in the US. We manage five clients whose reporting still runs on manual downloads and ad-hoc AI prompts, four different ways, with no shared numbers. We need one person to build and maintain a centralized per-client data system (ads, sales, inventory, search query performance) so reporting compounds instead of restarting every month.

CORE RESPONSIBILITIES
# System Standard & Architecture
- Define and document one build standard for the per-client data system, with real authority to reject tools or approaches that don't fit it
- Design the architecture connecting Seller Central, Amazon Ads, and Brand Analytics data into a single per-client source of truth
- Own the technical roadmap for the dashboard build across all five clients
# Amazon Data Access & Integration
- Remediate Leaven's Selling Partner API developer access rejection (network and device security controls) as the first deliverable
- Establish direct, non-manual data feeds for ads, sales, inventory, and search query performance per client
- Navigate Selling Partner API, Advertising API, and Brand Analytics access and scope decisions
# Dashboard Build & Maintenance
- Build and ship the per-client performance dashboard, starting with one client and extending to all five
- Keep the system running and consistent as new clients are added, this is not a build-and-leave engagement
- Tier the existing alert pipeline (listing monitor to Zapier to ClickUp) so urgent and trivial alerts are distinguishable
# Internal Systems & Founder Handoff
- Revise the existing internal Claude Project and skill-file build, currently scoped directionally by a non-engineer founder, into an engineer-maintained system
- Take technical decisions off the founder's plate instead of routing them back for approval

WHO WE NEED
-Catches their own errors before shipping. Fast and confident is not enough if it's wrong
-Takes ownership of decisions instead of routing them back for approval
-Says "I don't know, I'd need to check" without discomfort, and is honest about what they've built versus read about
-Pushes back on scope instead of agreeing to everything offered
-Has hands-on Selling Partner API and/or Advertising API integration work they've actually shipped, not just read the docs
-Has built and maintained systems other people depended on daily, and uses LLM tools as working tools, not a subject of enthusiasm
-Bonus: prior Amazon developer application experience, agency or multi-client background, experience remediating access rejections tied to security controls.

Not a fit if:
-you need detailed direction to move, you're more excited about AI as a topic than as a tool, or you've only shipped solo greenfield work with no ongoing maintenance responsibility.

HOW WE WORK
-async-first (ClickUp, Slack, Drive), minimal meetings, zero micromanagement, high standards delivered kindly. -Flexible hours, some overlap expected with the founder (window to be confirmed).
-Project basis to start, converting to an ongoing retainer. Rate and hours open, to be discussed.

HOW TO APPLY
Please send:
1. resume;
2. short intro on a real system you built that others depended on daily, with a measurable outcome; years of experience with Amazon data systems (Selling Partner API, Advertising API, or comparable); availability and expected rate;
3. a two-minute video answering:
A. Who are you, and your current work situation?
B. Why this role at Leaven?
C What separates maintaining a system from just building one?

Speak naturally, no script. No video, no consideration. Applications that read as ticket-execution, without a maintenance plan, won't be considered.

Interview Process: resume/video review, 30-min intro call, practical assessment, follow-up call on your reasoning.

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