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Full Stack Engineer – Marketing Tech, AI & Automation Full-Time | Remote | U.S. EST Hours About the Role At Pavago, one of our clients — a fast-growing marketing agency supporting 150+ home service businesses — is hiring a Full Stack Engineer to build internal tools, marketing automation, AI workflows, and tracking systems that directly impact campaign performance and revenue. This is a hands-on builder role , not a strategy-only position. You’ll work with leadership, media buyers, and operators to turn operational challenges into production-ready systems. What You’ll Do Full Stack Development Build and deploy internal tools using Next.js, React, and Python Develop marketing dashboards, reporting systems, and operational applications Replace manual processes with scalable automation Build and maintain production-ready integrations using APIs and webhooks Marketing Tracking & Attribution Implement and optimize Meta Pixel and Conversion API (CAPI) Manage event tracking, deduplication, and attribution accuracy Connect ad platforms → backend systems → CRM → reporting dashboards Build reporting around ROAS, CPL, CAC, conversion rates, and lead quality AI & Automation Integrate AI into real marketing workflows, including: Ad copy and creative generation Lead scoring and qualification Campaign insights Automated reporting Build with OpenAI and other AI APIs Use AI tools actively to improve engineering speed and operational efficiency CRM & Lead Lifecycle Automation Integrate platforms such as GoHighLevel, Close CRM, and HubSpot Automate lead capture, routing, follow-ups, pipeline management, and conversion syncing Connect CRM outcomes back to advertising platforms for attribution and offline conversion tracking Maintain reliable data across marketing and CRM systems What We’re Looking For 4–6+ years of hands-on software engineering experience Strong experience with React, Next.js, and Python Proven experience building and deploying production applications Strong experience with APIs, webhooks, integrations, and automation Hands-on experience in a marketing, ad tech, or performance marketing environment Experience implementing Meta Pixel and/or Conversion API (CAPI) Strong understanding of event tracking, deduplication, and attribution Experience building marketing dashboards and reporting systems Hands-on CRM integration experience with GoHighLevel, Close, HubSpot, or similar Experience connecting ad platforms with CRM data for attribution Active experience using AI tools and APIs Strong builder mindset with a bias toward shipping and iteration Nice to Have Performance marketing agency experience Understanding of ROAS, CPL, CAC, and conversion metrics Experience with Zapier, Make, or similar automation tools Knowledge of attribution challenges caused by privacy/iOS changes Experience building data pipelines for marketing analytics What Success Looks Like Internal tools are actively used by media buyers and operators Manual campaign and CRM work is significantly reduced Tracking and attribution remain accurate and reliable Reporting becomes faster and more actionable Marketing systems connect cleanly across ads, CRM, and backend data AI-powered workflows improve lead quality, conversions, and operational efficiency Why Join? Build systems with direct impact on revenue and campaign performance Work at the intersection of software engineering, AI, automation, and performance marketing High ownership and freedom to build Work with real campaign data across 150+ businesses Fully remote environment Interview Process Application Review Spark Hire Intro Video Video Interview with Pavago Recruiter Client Interview Offer & Background Verification What Happens After You Apply Qualified applicants will receive a Spark Hire invitation to complete a short Intro Video. This helps us understand your technical background, communication skills, marketing/ad tech experience, and experience building automation and AI-driven systems . Please check your inbox and spam/junk folder for the invitation. Apply Now If you’re a hands-on Full Stack Engineer with strong React/Next.js + Python skills and real experience with Meta CAPI, marketing attribution, CRM integrations, and AI automation , we’d love to hear from you. #FullStackEngineer #NextJS #ReactJS #Python #MarketingTech #AdTech #AIEngineering #Automation #MetaCAPI #GoHighLevel #HubSpot #RemoteJobs #SoftwareEngineer #LI-AG1
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.