Amazon SEO Optimization Manager at Comosoft GmbH

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

2000.0

Posted On

02 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Amazon SEO, Keyword Research, Listing Optimization, DataDive, Helium 10, Amazon Seller Central, A+ Content Creation, Prompt Engineering, AI Workflow Automation, Flat Files, Variation Wizard, SOP Documentation, Competitive Analysis, Performance Tracking, English Writing, Catalog Management

Industry

Software Development

Description

Role: Amazon SEO Optimization Manager Location: Remote LATAM Hours: Monday - Friday. 9AM - 5PM EST Salary: $1,400 to $2,000 Monthly USD (Open to negotiate based on expertise) 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 our 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 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. 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 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.

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Responsibilities

Establish and execute a structured SEO framework for a large Amazon catalog, focusing on titles, bullets, and backend search terms. Coordinate with PPC and Catalog leads to unify keyword libraries and improve organic rank and conversion rates.