Amazon SEO Optimization Manager
Role: Amazon SEO Optimization Manager
Location: Remote (Philippines)
Hours: Monday - Friday. 9AM - 5PM EST
USD Salary: $1,400 to $1,600 per month
This is a newly created role on our team, though the function itself is well established in the Amazon reseller world and we have team members (including our current PPC lead) who already work in this space. You will own Amazon SEO across the SawyerSoles catalog: titles, bullets, product descriptions, backend search terms, A+ content opportunities, indexing, and keyword research. Today, listing creation prioritizes speed and volume, and SEO work happens reactively. Your job is to install a structured, repeatable SEO framework that runs in parallel with new listing creation and progressively works through our existing top-revenue ASINs.
You will work alongside our Catalog and Listing Lead (who owns variation structure, flat files, and Amazon Seller Support escalations) and our PPC and Listing Optimization Specialist (who owns paid traffic and has begun the DataDive rollout). SEO is the missing third pillar, and the team has explicitly asked for someone to own it.
Responsibilities
1. Build the SEO Framework (First 1 to 2 Weeks)
- Stand up a documented, repeatable SEO framework covering title structure (brand, product type, gender, color, key features, size hierarchy), bullet structure (benefit-led, not feature-led), product description, A+ content, and backend search terms.
- Define keyword research methodology using DataDive as the primary tool and Helium 10 as the secondary tool. Document the workflow end-to-end with Loom video walkthroughs in English.
- Build a clear hierarchy of information: what comes first in the title, what drives visibility, where each keyword class should live.
- Publish SOPs to the team's master SOP sheet and train the catalog team (Milica, Bojana) on the new standards.
2. Own SEO Execution on Priority ASINs
- Build a tiered prioritization model for SEO investment: high-velocity Nike Team replenishment ASINs and listings tied to original UPCs get full optimization; closeout or short-lifecycle items get a lighter pass.
- Optimize new listings at the point of creation. Partner with the catalog team so SEO is built in upfront rather than retroactively cleaned up.
- Work systematically through the existing catalog (roughly 2,500 to 2,800 ASINs) from highest revenue and lowest current quality, optimizing titles, bullets, descriptions, and backend search terms.
- Track before and after performance per optimized ASIN: rank movement, session count, conversion rate, and unit velocity.
3. DataDive and Keyword Research Operations
- Take ownership of the DataDive workflow that our PPC lead has begun rolling out. Refine, deepen, and standardize it.
- Build keyword libraries by product category (Nike Team apparel, Adidas, footwear, accessories) that feed both SEO and PPC.
- Coordinate with our PPC lead so SEO keyword research and PPC campaign keywords are unified, not duplicated.
- Stay current on Amazon search algorithm changes, Rufus and AI-search behavior, and best practices for indexing on reseller listings (no Brand Registry access).
4. Catalog Quality and SEO-Adjacent Cleanup
- Identify listings underperforming due to catalog issues (bad titles, weak images, missing backend attributes, suppressed detail pages) and coordinate fixes with the catalog team.
- Partner with catalog on image quality standards: define minimum resolution rules, document approved image sources, and contribute to a centralized image-source database.
- Flag and route variation structure problems, missing attributes, and inconsistent color or value data that are dragging rank.
5. Reporting and Measurement
- Deliver a weekly SEO performance report: ASINs optimized, before and after KPIs, current backlog, and the next week's priorities.
- Build a monthly rollup that ties SEO work to catalog-level outcomes (organic session growth, conversion lift, organic rank movement on tracked keywords).
- Maintain a living SEO scorecard the leadership team can review.
Requirements
- 3+ years of hands-on Amazon SEO and listing optimization experience, ideally for an Amazon reseller, agency, or aggregator (not just a 1P brand owner).
- Deep proficiency with DataDive or equivalent (Helium 10 Cerebro and Magnet, Jungle Scout, SmartScout).
- Demonstrated ability to write Amazon titles, bullets, descriptions, and backend search terms that move rank. Bring portfolio examples to the interview.
- Strong understanding of how Amazon's A9 and COSMO algorithms behave for reseller listings vs. brand-owner listings (different leverage points, no Brand Registry tools).
- Hands-on experience with Amazon bulk operations: flat files, listing loader, Variation Wizard, Amazon Master files, and variation family fixes. You will be expected to execute these directly when needed.
- Comfortable working in large catalogs (1,000+ ASINs) with constrained brand assets. Must be resourceful at sourcing images, color data, and product information from supplier sites and brand pages.
- Excellent written English. Comfortable producing SOPs, Loom walkthroughs, and structured written updates.
- Strong working proficiency with AI tools, especially Claude (also ChatGPT, Gemini, or equivalents). You should already be using AI daily for keyword expansion, competitor analysis, copy drafting, SOP creation, and workflow automation. We will provide a Claude Pro account, and we expect you to make it core to your workflow.
- Prompt engineering skill: ability to structure prompts that produce high-quality Amazon SEO outputs (titles, bullets, descriptions, backend search terms) without endless back-and-forth.
Nice-to-Have
- Prior experience in athletic, apparel, or footwear categories on Amazon.
- Familiarity with PPC fundamentals so SEO and PPC keyword libraries can be unified.
- Experience connecting Claude or similar tools to data sources (Google Drive, Gmail, Asana, Slack) for cross-referenced reporting and analysis.
- Multi-marketplace SEO experience (Amazon CA, Amazon MX, TikTok Shop, Temu, Shein) for future scope expansion.
Tools You'll Use Daily
- DataDive (primary keyword and competitor research)
- Helium 10 (secondary)
- Amazon Seller Central (Catalog, Manage Inventory, Business Reports, Brand Analytics where available, flat files, A+ Content Manager)
- Keepa, SellerSnap, Sellerboard (for context and performance data)
- Loom (for SOPs and team training, all videos in English)
- Google Sheets and Drive, Slack, Asana, Gmail
- Claude (Pro account provided) for AI-assisted optimization workflows
Working Hours and Location
- Remote. Open to candidates from any country (Philippines, Serbia, Colombia, and others all welcome).
Benefits
- Remote Work: Work from anywhere—our team is global, and we value work-life balance.
- Growth Opportunities: As a key player i you’ll have the chance to shape your role and grow with us.
- Innovative Culture: Join a team that is passionate about leveraging data to solve challenges and drive success in a rapidly evolving market.
As part of our recruitment process, all candidates are kindly asked to read, understand, and agree to Lago’s Confidentiality and Non-Circumvention Agreement. This ensures a respectful and professional experience for everyone involved.
Skills
As published by workable · 16 questions · 10 written answers
Basics
First name, Last name, Email, Phone, Address, Photo, Resume
Short answers (4)
- Approximately how many ASINs have you managed or optimized?
- What is your hourly salary expectation in USD?
- What is your expected start date?
- What is your country or residence?
Pick from a list (2)
- Have you worked with catalogs containing more than 1,000 ASINs?
- As indicated in the job description, kindly confirm your agreement to Lago’s Confidentiality and Non-Circumvention Agreement to proceed with the recruitment process.
Written answers (10)
- How many years of hands-on Amazon SEO and listing optimization experience do you have?
- Please describe the types of Amazon accounts you have worked with (Reseller/3P, Brand Owner/Private Label, Agency, Aggregator, etc.) and your level of hands-on experience with each.
- Please describe your hands-on experience with Amazon listing optimization, including keyword research, title optimization, bullet points, product descriptions, backend search terms, A+ Content, catalog management, and variation management.
- Describe your understanding of Amazon’s A9 and COSMO algorithms and provide an example of how you have used this knowledge to improve a listing’s organic performance.
- What tools have you used for Amazon keyword research?
- Have you worked directly with Amazon flat files, listing loaders, or variation family fixes?
- How do you use AI tools in your Amazon SEO workflow? Please provide specific examples of tasks such as keyword research, listing optimization, competitor analysis, content creation, SOP development, or process automation.
- Please provide portfolio samples, case studies, or documentation showing Amazon SEO results (if available).
- Could you please share the tools and software you have used in your role?
- Please record a 1-minute video introducing yourself and your experience. You may use Loom.com or any platform you prefer. Share the link once done. Please note this process is mandatory, applications with no video will not be considered.