Amazon PPC - For Pooling Purposes

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Amazon PPC - For Pooling Purposes based in Israel.

This is a remote opportunity for an Amazon PPC professional to support sellers, agencies, aggregators, and eCommerce brands across diverse product categories.

The role focuses on managing and optimizing Amazon advertising campaigns to improve visibility, sales, and advertising efficiency.

You will work with campaign structures, keyword research, bids, budgets, search-term data, and performance reporting.

The position combines analytical thinking with hands-on operational support and requires strong attention to detail.

You may contribute to product launches, seasonal campaigns, listing optimization, competitor research, and ongoing account improvements.

The role offers exposure to different client strategies and opportunities to develop expertise across Amazon PPC and eCommerce.

Candidates may be matched with part-time or full-time assignments depending on client requirements.

Accountabilities

• Assist with creating, organizing, maintaining, and optimizing Amazon PPC campaigns based on client objectives and advertising strategies.
• Monitor campaign performance and support budget allocation, bid adjustments, keyword optimization, and campaign structure improvements.
• Conduct keyword research and search-term analysis to identify high-performing opportunities, expand keyword coverage, and manage negative keywords.
• Track key advertising metrics including ACOS, TACOS, ROAS, CTR, CPC, conversion rate, and sales, identifying trends, anomalies, and performance issues.
• Prepare recurring PPC reports, maintain campaign trackers, and organize documentation related to keywords, budgets, campaigns, and performance history.
• Support product launches, promotions, seasonal events, and advertising setup while monitoring campaign and product performance.
• Collaborate with listing and SEO teams to identify opportunities where listing improvements could contribute to stronger advertising performance.
• Conduct competitor and marketplace research to support campaign optimization and broader eCommerce initiatives.
• Follow client-specific workflows, SOPs, reporting schedules, and optimization processes while maintaining accurate and organized records.
• Use approved AI and automation tools to support reporting, analysis, campaign workflows, and operational efficiency.
• Identify optimization opportunities proactively and contribute to scalable PPC processes and continuous improvements.
  
  

Requirements

• Experience in Amazon PPC, digital advertising, eCommerce, performance marketing, marketing support, or a related field; relevant experience as an Amazon PPC Specialist, Account Manager, Paid Media Assistant, E-commerce VA, or similar is valuable.
• Strong written and verbal English communication skills, with professional communication and a high level of attention to detail.
• Comfortable working with spreadsheets, reports, advertising metrics, and performance data.
• Basic understanding of digital advertising concepts and metrics such as ACOS, TACOS, ROAS, CTR, CPC, conversion rate, and sales.
• Strong analytical and problem-solving abilities, with an interest in identifying trends and improving campaign performance.
• Excellent organizational and multitasking skills, with the ability to manage recurring responsibilities and meet reporting deadlines.
• Ability to follow standardized SOPs while adapting workflows to different client strategies and requirements.
• Proactive, self-motivated, and comfortable working independently in a remote environment.
• Willingness to learn new advertising tools, technologies, strategies, and marketplace processes.
• Amazon Seller Central experience is preferred but not required.
• Familiarity with Microsoft Excel, Google Sheets, and Google Workspace.
• Experience with task and project management platforms such as ClickUp, Trello, Asana, or Monday.com is beneficial.
• Familiarity with Amazon PPC tools such as Helium 10, Jungle Scout, Data Dive, Scale Insights, Perpetua, or Pacvue is a plus.
• Candidates should be comfortable using AI tools to improve workflow efficiency and productivity.
• Candidates will be expected to complete internal training covering foundational Amazon advertising workflows and performance metrics before consideration for active client placements.
  
  

Benefits

• Competitive rates based on the client assignment and scope of work.
• Flexible part-time or full-time opportunities, typically ranging from 10–40 hours per week.
• Flexible shift schedules and time-zone arrangements depending on client requirements.
• Monday–Friday work schedules.
• Weekly payments.
• Annual rate increases based on performance.
• Paid time off.
• Paid holidays.
• Free training and ongoing upskilling opportunities.
• Continuous support and guidance from managers and mentors.
• Clear schedules, workflows, and operating guidelines.
• Access to a supportive remote community.
• Opportunities to work with a variety of Amazon sellers, agencies, and eCommerce businesses.
• Ongoing opportunities for professional development within Amazon PPC and eCommerce operations.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.