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Full Stack Engineer – Marketing Tech, AI & Automation | Remote 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 Full Stack Engineer to build and scale internal technology that directly supports marketing performance, lead generation, attribution, and revenue operations.
This is a hands-on builder role , not a strategy-only engineering position.
You’ll build production-ready internal tools using Next.js, React, and Python , connect advertising platforms with CRM and backend systems, improve marketing attribution, and integrate AI into real-world marketing workflows.
You’ll work closely with leadership, media buyers, and operators to turn operational problems into scalable technical solutions.
What You’ll Own
Internal Tool Development – Primary Focus
Build and deploy internal applications using Next.js, React, and Python
Develop dashboards, reporting systems, and operational tools for marketing teams
Build production-ready systems that can scale across 150+ client accounts
Replace manual processes with automated internal tools
Maintain and improve existing applications as business requirements evolve
Marketing Data, Tracking & Attribution
Implement and optimize Meta Pixel and Conversion API (CAPI)
Manage event tracking, deduplication, and conversion attribution
Build data pipelines connecting:
Ad platforms
Backend systems
CRM platforms
Reporting dashboards
Improve accuracy between advertising data and actual lead/customer outcomes
Build reporting systems around metrics such as:
ROAS
CPL
CAC
Conversion rates
Lead quality
Troubleshoot attribution and tracking discrepancies
Automate lead routing, pipeline management, and lifecycle updates
Sync CRM conversion outcomes back to advertising platforms through offline events/CAPI
Ensure data remains accurate and consistent across systems
Use APIs and webhooks to create reliable integrations between marketing platforms
AI Integration & Marketing Automation
Build AI functionality directly into marketing and operational workflows
Apply AI to use cases such as:
Ad copy and creative generation
Lead scoring and qualification
Campaign analysis
Automated reporting
Operational workflow automation
Work with APIs from OpenAI and similar AI platforms
Build AI-powered systems that move beyond prototypes into real production workflows
Identify repetitive processes that can be automated or accelerated with AI
Rapid Development & Iteration
Ship quickly and iterate based on real campaign and user feedback
Work directly with media buyers to identify technical bottlenecks
Translate operational requirements into practical technical solutions
Troubleshoot issues across applications, integrations, tracking, and automation
Continuously improve systems that affect campaign performance and operational efficiency
Must-Have Experience & Skills
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 and internal tools
Strong experience working with APIs, webhooks, integrations, and automation systems
Hands-on experience in a marketing technology, ad tech, agency, or performance marketing environment
Experience implementing or managing Meta Pixel and/or Meta Conversion API (CAPI)
Strong understanding of:
Event tracking Deduplication Attribution Conversion tracking Experience building marketing dashboards and reporting systems Hands-on experience integrating CRM platforms such as GoHighLevel, Close CRM, HubSpot, or similar Experience automating lead capture, routing, pipelines, follow-ups, and conversion tracking Experience connecting advertising platforms with CRM data for attribution and reporting Active day-to-day use of AI tools and APIs Strong builder mentality with a bias toward shipping and execution Ability to work remotely during U.S. EST hours
Nice to Have
Experience working directly inside a performance marketing agency
Experience supporting paid media teams or media buyers
Understanding of ROAS, CPL, CAC, conversion rates, and lead quality
Experience with Zapier, Make, or similar automation platforms
Experience designing and maintaining marketing data pipelines
Understanding of attribution challenges caused by privacy changes and iOS tracking restrictions
Experience building AI-powered internal tools
Familiarity with multi-client or agency reporting environments
Tools & Tech
React | Next.js | Python | Meta Pixel | Meta CAPI | GoHighLevel | Close CRM | HubSpot | OpenAI APIs | REST APIs | Webhooks | Zapier | Make | AI & Automation Tools
What Makes You a Strong Fit
You’re a builder first — you enjoy turning problems into working software
You understand engineering in the context of marketing performance and revenue
You can move comfortably between frontend, backend, APIs, CRM systems, and marketing data
You understand why accurate tracking and attribution matter to media buyers
You use AI as part of your everyday engineering workflow
You prefer shipping, testing, and improving over prolonged planning
You can independently troubleshoot technical and operational problems
You enjoy working directly with non-technical operators to build solutions they actually use
What a Typical Day Looks Like
You might start by reviewing a tracking discrepancy between Meta Ads and CRM conversions, then troubleshoot the event flow and CAPI implementation.
Later, you may build a Next.js dashboard for media buyers, create a Python service that automates campaign reporting, connect GoHighLevel data to an attribution pipeline, or integrate an AI model to score incoming leads.
You’ll regularly collaborate with media buyers and leadership, ship improvements, monitor how they perform in production, and iterate quickly.
In short: you build the technical infrastructure that makes marketing campaigns more measurable, automated, and effective.
What Success Looks Like
Internal tools are actively adopted by media buyers and operators
Manual campaign and CRM workflows are significantly reduced
Tracking and attribution are accurate and reliable
Ad platform and CRM data remain properly synchronized
Campaign reporting becomes faster and more actionable
Engineering solutions improve operational speed and efficiency
AI-powered systems contribute to better lead quality and conversion performance
Interview Process
Initial Phone Screen
Spark Hire Video Interview
Video Interview with Pavago Recruiter
Client Interview
Offer & Background Verification
Apply Now
If you’re a Full Stack Engineer with strong React, Next.js, Python, marketing technology, Meta CAPI, CRM integration, and AI automation experience , we’d love to hear from you.
This is an opportunity to build systems that directly influence marketing performance, attribution, lead conversion, and revenue across a rapidly growing agency.
#FullStackEngineer #FullStackDeveloper #NextJS #ReactJS #Python #MarketingTechnology #AdTech #MetaCAPI #GoHighLevel #HubSpot #AIEngineering #Automation #RemoteDeveloper #RemoteJobs Originally posted on Himalayas
