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Full Stack Engineer

Pavago

远程工作

地点
Remote (India)
发布日期
2026年10月20日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Full Stack Engineer (Next.js, React, Python, AI & Marketing Tech) – Remote | EST Hours Position Type: Full-Time, Remote Working Hours: U.S. Business Hours – EST About the Role At Pavago, one of our clients — a fast-growing marketing agency serving 150+ home service businesses — is hiring a hands-on Full Stack Engineer to build internal tools, marketing technology, AI-powered workflows, and automation systems. This is a builder role, not a strategy-only position. You’ll work directly across: Full-stack application development Marketing data and attribution Meta Pixel & Conversion API (CAPI) CRM integrations and automation AI-powered marketing workflows Internal dashboards and reporting tools You’ll collaborate closely with leadership, media buyers, and operators to turn operational challenges into production-ready systems that directly improve campaign performance, lead conversion, and efficiency. What You’ll Own Full Stack & Internal Tool Development Build and deploy production-ready internal tools using: Next.js React Python Develop: Marketing dashboards Reporting systems Internal operational tools Workflow automation Replace repetitive manual processes with scalable software solutions Build reliable systems used directly by media buyers and operational teams Marketing Tracking, Data & Attribution Implement and optimize: Meta Pixel Meta Conversion API (CAPI) Manage: Event tracking Event deduplication Conversion attribution Offline conversion syncing Build data pipelines connecting: Ad platforms Backend systems CRMs Reporting dashboards Ensure campaign data remains accurate and actionable Support reporting across metrics such as: ROAS CPL CAC Conversion rates Lead quality CRM & Lead Lifecycle Automation Build integrations with CRM platforms such as: GoHighLevel Close CRM HubSpot Similar platforms Connect the full lead lifecycle: Lead capture CRM entry Lead routing Follow-ups Pipeline progression Conversion tracking Build automations using APIs and webhooks Sync CRM outcomes back to advertising platforms for attribution and optimization Maintain data consistency across CRM, marketing, and reporting systems AI Integration & Automation Integrate AI into real-world marketing workflows Work with APIs such as OpenAI and similar AI platforms Build AI-powered systems for: Ad copy generation Creative generation workflows Lead scoring Lead qualification Campaign analysis Automated reporting and insights Embed AI capabilities into production marketing and operational systems Identify opportunities to reduce manual work through intelligent automation Rapid Development & Iteration Ship working solutions quickly and iterate based on real-world usage Work directly with media buyers to identify campaign bottlenecks Troubleshoot technical issues affecting: Tracking Attribution CRM workflows Reporting Lead conversion Continuously improve internal systems based on campaign data and team feedback Required Experience & Skills Non-Negotiables 4–6+ years of hands-on software engineering experience Strong full-stack development experience with: React Next.js Python Proven experience building and deploying production-level applications or internal tools Strong experience with: APIs Webhooks System integrations Automation workflows Active use of AI tools in day-to-day engineering work Hands-on experience in a marketing, advertising, or ad-tech environment Experience with Meta Pixel and/or Conversion API (CAPI), including: Event tracking Deduplication Attribution Experience building marketing dashboards or reporting systems Hands-on CRM integration experience with platforms such as: GoHighLevel Close HubSpot Experience automating: Lead capture Lead routing Pipeline management Conversion tracking Experience connecting advertising platforms with CRM systems for attribution and reporting Strong builder mindset with a bias toward execution Nice to Have Performance marketing agency experience Experience supporting high-volume paid advertising campaigns Understanding of: ROAS CPL CAC Conversion rates Lead quality Experience with: Zapier Make Similar automation platforms Understanding of marketing data pipelines Familiarity with attribution challenges related to: iOS privacy changes Browser tracking limitations Server-side tracking Experience developing AI-powered internal tools What Makes You a Strong Fit You’re an engineer who enjoys building and shipping, not just planning architecture You understand both software engineering and the realities of performance marketing You know how marketing data moves between ad platforms, backend systems, and CRMs You can troubleshoot attribution and tracking problems You’re comfortable integrating APIs and automating complex workflows You actively use AI to improve engineering speed and business processes You can work directly with non-technical teams such as media buyers and marketers You move quickly without sacrificing reliability What a Typical Day Looks Like You might start by reviewing tracking data and investigating an attribution discrepancy between Meta Ads and the CRM. Later, you could build a new Next.js dashboard for media buyers, implement a Python service that scores incoming leads using AI, or create a webhook integration that sends CRM conversion outcomes back through Meta CAPI. You’ll work closely with media buyers and leadership to identify bottlenecks, build solutions, deploy them, and iterate based on real campaign performance. In short: you build the technology connecting advertising, CRM, AI, data, and operations — helping the agency run faster and make better marketing decisions. Key Metrics for Success Internal tools actively adopted by media buyers and operators Accurate Meta Pixel/CAPI tracking and attribution Reliable CRM and advertising-platform data synchronization Reduction in manual marketing and operational workflows Faster campaign reporting and execution Improved lead tracking and conversion visibility Successful deployment of AI-powered workflows Reliability and scalability of production systems Why This Role Stands Out Build technology directly tied to marketing performance and revenue Work across software engineering + AI + ad tech High ownership over internal products and systems Direct collaboration with leadership and performance marketing teams Opportunity to build AI systems used in real production workflows Work with marketing operations supporting 150+ home service businesses Fully remote environment with significant autonomy Interview Process Initial Application Review Spark Hire Intro Video Video Interview with Pavago Recruiter Client Interview Offer & Background Verification Apply Now If you’re a Full Stack Engineer with strong React, Next.js, and Python skills who has hands-on experience with marketing technology, Meta CAPI, CRM integrations, attribution, and AI-powered automation, we’d love to hear from you. Apply today and build systems that directly improve campaign performance, lead conversion, and operational efficiency. #FullStackEngineer #NextJS #ReactJS #PythonDeveloper #SoftwareEngineer #AdTech #MarTech #MetaCAPI #AIEngineer #CRMIntegration #MarketingTechnology #RemoteDeveloper #RemoteJobs

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为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

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尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

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如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。