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Home / Jobs / Pavago

Full Stack Engineer

Pavago

IndiaremotePosted 1 month ago
Pavago logo

Skill Required

Full-Stack-EngineeringSoftware-EngineerMartechAd-Tech-EngineerAI-EngineeringFull-Stack-EngineerFull-Stack-Web-DeveloperFull-Stack-DeveloperFull-Stack-Product-EngineerFull-Stack-Software-EngineeringFull-Stack-JavaScript-EngineerFull-Stack-Software-DeveloperFull Stack DeveloperPerformance Marketingsoftware engineeringEngineeringautomationdevelopingMeta AdsNext.jsbuildingHubSpotPythonOpenAPIReactAPIsiOSandAIFulltime

Key highlights

  • Full-time, remote position
  • 4–6+ years of hands-on software engineering experience required
  • Must have experience with React, Next.js, Python, Meta CAPI, and CRM integrations (GoHighLevel, Close, HubSpot)
  • Active use of AI tools in day-to-day engineering work is required
  • Fully remote with significant autonomy
  • Strong builder mindset with a bias toward execution required

Role overview

Pavago is hiring a hands-on Full Stack Engineer for one of its clients — a fast-growing marketing agency serving 150+ home service businesses. This is a builder role focused on building internal tools, marketing technology, AI-powered workflows, and automation systems. The engineer will work directly across full-stack application development, marketing data and attribution, Meta Pixel & Conversion API (CAPI), CRM integrations, and AI-powered marketing systems, collaborating closely with leadership, media buyers, and operators to turn operational challenges into production-ready solutions.

Responsibilities

  • Build and deploy production-ready internal tools using Next.js, React, and Python
  • Develop marketing dashboards, reporting systems, internal operational tools, and workflow automation
  • Replace repetitive manual processes with scalable software solutions
  • Build reliable systems used directly by media buyers and operational teams
  • Implement and optimize Meta Pixel and Meta Conversion API (CAPI)
  • Manage event tracking, event deduplication, and conversion attribution
  • Handle offline conversion syncing
  • Build data pipelines connecting ad platforms, backend systems, CRMs, and reporting dashboards
  • Ensure campaign data remains accurate and actionable
  • Support reporting across metrics such as ROAS, CPL, CAC, conversion rates, and lead quality
  • Build integrations with CRM platforms such as GoHighLevel, Close CRM, HubSpot, and similar platforms
  • Connect the full lead lifecycle: lead capture, CRM entry, lead routing, follow-ups, pipeline progression, and 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
  • 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, and automated reporting and insights
  • Embed AI capabilities into production marketing and operational systems
  • Identify opportunities to reduce manual work through intelligent automation
  • 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, and lead conversion
  • Continuously improve internal systems based on campaign data and team feedback

Requirements

  • 4–6+ years of hands-on software engineering experience
  • Strong full-stack development experience with React, Next.js, and Python
  • Proven experience building and deploying production-level applications or internal tools
  • Strong experience with APIs, webhooks, system integrations, and 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, and attribution
  • Experience building marketing dashboards or reporting systems
  • Hands-on CRM integration experience with platforms such as GoHighLevel, Close, and HubSpot
  • Experience automating lead capture, lead routing, pipeline management, and 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, and lead quality
  • Experience with Zapier, Make, or similar automation platforms
  • Understanding of marketing data pipelines
  • Familiarity with attribution challenges related to iOS privacy changes, browser tracking limitations, and server-side tracking
  • Experience developing AI-powered internal tools

Benefits

  • Fully remote work environment
  • Significant autonomy
  • Work across software engineering, AI, and 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
  • Build technology directly tied to marketing performance and revenue

Additional details

  • Position Type: Full-Time
  • Remote with U.S. Business Hours – EST
  • The agency serves 150+ home service businesses
  • Interview Process: Initial Application Review, Spark Hire Intro Video, Video Interview with Pavago Recruiter, Client Interview, Offer & Background Verification
  • 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

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