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Automation Developer Needed – Google Display Ads Campaign Creation Using Claude Code / AI Overview

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event发布于 2026年9月01日 · verified我们于 2026年9月01日 确认该职位仍然有效

US$ 250 – US$ 750 (每个项目)

职位介绍

We are a high-volume digital marketing company looking for an experienced AI Automation Developer / Google Ads API Developer to build an automated system for creating and launching Google Display Ad campaigns. We are currently adding approximately 20–40 new Google Display clients per day, and our manual campaign creation process has created a significant backlog. Our goal is to automate as much of the campaign setup process as possible using Claude Code, AI, Google Sheets, and the Google Ads API. This is not a simple Zapier automation. We are looking for someone capable of designing and building a reliable production system that can process a large volume of clients. What We Want to Build We currently maintain a Google Sheet containing our Google Display advertising clients. At minimum, the system would receive: Business Name Website URL Client/Account Information Target Location / Service Area Target Impressions Any additional campaign requirements The automation should take a new client from the Google Sheet and automatically perform the majority of the campaign creation process. 1. Read New Clients From Google Sheets The system should automatically detect clients that are ready for campaign creation and begin processing them. It should also maintain statuses such as: Ready → Processing → Creative Generated → Campaign Created → QA → Live / Error 2. Analyze the Client's Website The system should visit and analyze the client's website to determine: Business type Services offered Branding Logo Images Colors Geographic service area Relevant landing pages Advertising messaging Calls to action The system should extract enough information from the website to intelligently build the advertising campaign. 3. Automatically Generate Display Ad Creatives Using AI, the system should create professional Google Display advertising creatives based on the client's website and branding. Ideally, this includes generating the appropriate image assets and sizes needed for Responsive Display Ads. The system should be capable of using the client's existing branding, logo, images, services, and website content whenever appropriate rather than creating completely generic advertisements. We are open to using Claude alongside image-generation APIs or other tools where appropriate. 4. Generate Ad Copy AI should automatically create: Headlines Long headlines Descriptions Calls to action Other required Responsive Display Ad assets Copy should be based on the actual client's business and website. 5. Build the Google Ads Campaign Using the Google Ads API, automatically create the campaign inside the appropriate Google Ads account. This may include: Campaign creation Campaign naming Budget Geographic targeting Ad groups Audience/targeting settings Responsive Display Ads Image assets Logos Headlines Descriptions Landing page URLs Required exclusions/settings Other standardized campaign settings We will provide the campaign structure and rules that should be followed. 6. Automated QA / Error Handling Because we process a large number of clients, reliability is extremely important. The system should check for issues such as: Missing website information Invalid URLs Missing logos/images Google Ads API errors Disapproved or invalid creative assets Missing targeting information Duplicate campaigns Failed campaign creation If the automation cannot confidently complete a campaign, it should flag the client for manual review instead of guessing. Errors and status updates should be written back to the Google Sheet or preferably displayed in a simple management dashboard. Ideal Workflow Our ultimate goal is: New Client Added to Google Sheet → Website Analyzed → Branding/Content Extracted → Ad Creative Generated → Ad Copy Generated → Google Display Campaign Built → Automated QA → Campaign Ready for Review/Launch We want our employees primarily handling exceptions and QA rather than manually building every campaign. Required Experience Please apply only if you have strong experience with several of the following: Claude Code / Anthropic API AI agents and AI automation Google Ads API Google Display / Responsive Display Ads Google Sheets API Image generation APIs Web scraping / website content extraction API integrations Python and/or Node.js OAuth / Google authentication Workflow automation Databases and queues Error handling and retry systems Building production-level automation systems Google Ads API experience is especially important. We are not simply looking for someone who knows how to manually create Google Ads campaigns. Scale The system needs to be designed for significant volume. We are currently adding approximately 20–40 new clients every business day, and that number may continue to increase. The system therefore needs proper: Queue management Logging Retry handling API rate-limit management Duplicate prevention Error reporting Human review / approval functionality We want something that can eventually process hundreds or thousands of campaigns reliably, not a fragile automation that breaks after processing a few clients. Important We understand that AI should not blindly publish advertising campaigns without safeguards. We want the developer to build appropriate approval checkpoints so campaigns or creatives can be reviewed by our team when necessary before going live. The goal is to automate 90%+ of the repetitive work while allowing our team to handle quality control and exceptions. If the initial system works well, we have several other high-volume digital marketing processes that we would like to automate using AI. When Applying Please answer the following: -Your experience with Claude Code / AI. -Explain how you plan to set up this campaign and how it will work and flow. We are looking for someone who can architect and build the complete system, not simply advise us on how it could be done.

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