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Remote Amazon Listing Optimization Jobs in Mount Pleasant, SC

Directive

PPC Manager (Remote US)

Charleston, SC · Remote

$70K - $95K/yr

This role is listed internally as Account Strategist, Paid Media * Roles & Responsibilities ... campaign optimization * Ability to analyze campaign performance data using tools like Google ...

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All JobsAmazon Listing Optimization JobsRemote Amazon Listing Optimization JobsRemote Amazon Listing Optimization Jobs in Mount Pleasant, SC

Remote Amazon Listing Optimization information

See Mount Pleasant, SC salary details

$38

$57

$78

How much do remote amazon listing optimization jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote amazon listing optimization in Mount Pleasant, SC is $57.01, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $70.29 per hour, depending on experience, location, and employer.

What is remote Amazon listing optimization?

Remote Amazon listing optimization refers to the process of improving product listings on Amazon to increase their visibility, click-through rates, and conversions, all while working from a remote location. This job involves tasks such as keyword research, writing compelling product titles and descriptions, optimizing images, and managing backend search terms. Optimizers also analyze competitors, track performance metrics, and update listings based on customer feedback and market trends. The goal is to make products more appealing and discoverable to potential buyers, ultimately boosting sales.

What are the key skills and qualifications needed to thrive as a remote Amazon listing optimization specialist?

To excel as a Remote Amazon Listing Optimization Specialist, you need expertise in e-commerce, SEO, keyword research, and copywriting, often backed by experience with Amazon Seller Central. Familiarity with tools like Helium 10, Jungle Scout, and analytics platforms, as well as understanding of Amazon policies and A+ Content, is crucial. Attention to detail, strong communication, and the ability to analyze market trends are essential soft skills for success in this role. These skills ensure that product listings are both visible and compelling, driving traffic and increasing sales in a competitive marketplace.

What are the typical daily tasks for someone in a remote Amazon listing optimization role?

In a Remote Amazon Listing Optimization role, your daily tasks often include researching keywords, analyzing competitor listings, updating product titles and descriptions, and optimizing images to increase visibility and conversions. You'll also review performance metrics, such as click-through and conversion rates, to adjust strategies accordingly. Collaboration with product managers and marketing teams is common, ensuring that listings align with brand guidelines and overall business goals. Regular communication and proactive problem-solving are essential, as you'll need to stay updated on Amazon's changing algorithms and best practices.

What is the difference between Remote Amazon Listing Optimization vs Remote Amazon PPC Specialist?

AspectRemote Amazon Listing OptimizationRemote Amazon PPC Specialist
Primary FocusOptimizing product listings for visibility and conversionsManaging advertising campaigns to drive sales
Skills & CertificationsSEO, copywriting, Amazon algorithmsAdvertising platforms, PPC strategies, Amazon ads
Work EnvironmentContent creation, keyword research, listing updatesCampaign management, bid optimization, analytics
Industry UsageCommonly used in e-commerce and retail sectors

Remote Amazon Listing Optimization and Remote Amazon PPC Specialist roles both support Amazon sellers but focus on different aspects. Listing optimization enhances product visibility through content and keywords, while PPC specialists manage advertising campaigns to increase sales. Both require knowledge of Amazon's platform but serve complementary functions in boosting product performance.

What job categories do people searching Remote Amazon Listing Optimization jobs in Mount Pleasant, SC look for?

The top searched job categories for Remote Amazon Listing Optimization jobs in Mount Pleasant, SC are:

What cities near Mount Pleasant, SC are hiring for Remote Amazon Listing Optimization jobs?

Cities near Mount Pleasant, SC with the most Remote Amazon Listing Optimization job openings:

Remote Amazon Listing Optimization jobs near you

Senior AI Solutions Architect (Remote Opportunity)

VetsEZ

Charleston, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities:
  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
  • Evaluate AI technologies, services, and frameworks to support current and future project needs.
  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
  • Optimize AI architectures for scalability, operational cost, reliability, and response time.
  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  • Design integration between AI services and existing enterprise healthcare applications.
  • Define secure interfaces utilizing REST APIs and modern integration patterns.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.
  • Promote consistent architecture patterns and engineering best practices across JLV development teams.
  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering, source-grounded AI evaluation, and hallucination testing
  • Vector databases, embeddings, and semantic search
  • REST APIs and enterprise integration
  • Cloud architecture and distributed systems
  • DevSecOps and CI/CD
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of enterprise architecture principles and cloud-native application design.
  • Experience balancing AI performance, scalability, security, explainability, and operational cost.
  • Excellent analytical, architectural, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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