Full Stack Engineer at Pavago

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Job description

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

CRM & Lead Lifecycle Automation

Integrate and automate platforms such as:

GoHighLevel
Close CRM
HubSpot
Similar CRM systems

Build workflows connecting lead capture → CRM → follow-up → conversion
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

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

#LI-AG1

Full Stack Engineer

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