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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.