Mexico

1 month ago

Job Overview

Job Type

Full Time

Pay

Not disclosed

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Job description

Location:: Mexico
Work arrangement:: On-site

Role Summary

Full Stack Engineer
Next.js, React, Python, AI & Marketing Technology | Remote | EST Hours
Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours – EST

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 the technology powering its marketing, lead generation, tracking, and revenue operations.

This is a hands-on builder role , not a strategy-only engineering position.

Build, deploy, and maintain internal applications using

Next.js
React
Python

Build pipelines connecting

Ad Platforms → Backend Systems → CRM → Reporting Dashboards
Develop reporting systems that give teams visibility into metrics such as:
ROAS
CPL
CAC
Conversion rates
Lead quality
Campaign performance
AI Integration & Marketing Automation

Build AI directly into live marketing and operational workflows.

Use APIs such as OpenAI and similar AI platforms to develop systems for:
Ad copy generation
Creative ideation
Lead scoring
Lead qualification
Campaign analysis
Performance insights
Automated reporting
Operational workflow automation

This role requires someone who actively uses modern AI tools—not someone with only theoretical exposure.

CRM & Lead Lifecycle Automation — Critical

Integrate and automate CRM platforms such as

GoHighLevel
Close CRM
HubSpot
Similar CRM systems

Build workflows connecting the entire lead lifecycle

Lead Capture → CRM → Routing → Follow-Up → Pipeline → Conversion → Attribution

Strong full-stack development experience with

React
Next.js
Python
Proven experience building and deploying production-level applications or internal tools

You should have experience with

Meta Pixel and/or Conversion API (CAPI)
Event tracking
Event deduplication
Attribution
Marketing analytics
Campaign reporting
Advertising data pipelines

Experience building dashboards or reporting systems for paid marketing campaigns—particularly Meta Ads —is strongly preferred.

CRM & Automation Experience

Hands-on experience integrating or automating platforms such as

GoHighLevel
Close CRM
HubSpot
Similar CRM systems

You should understand

Lead capture
Lead routing
Pipeline management
Follow-up automation
Conversion tracking
Offline events
CRM-to-ad-platform attribution

Familiarity with paid media metrics such as

ROAS
CPL
CAC
Conversion rate

Experience with

Zapier
Make
Similar automation platforms
Understanding of marketing data pipelines

Familiarity with attribution challenges caused by

iOS privacy changes
Browser restrictions
Cookie limitations
Experience supporting home services or local lead-generation businesses
What Makes You a Strong Fit

You

Are a builder first
Prefer shipping working systems over creating theoretical architecture
Understand how engineering connects to marketing performance and revenue
Can move comfortably between frontend, backend, APIs, CRM systems, and marketing technology
Troubleshoot problems independently
Understand attribution beyond simply installing a tracking pixel
Use AI practically in your development workflow
Work well with non-technical stakeholders such as media buyers and operators
Move quickly without sacrificing system reliability
Take ownership from problem identification through deployment
What a Typical Day Looks Like

Responsibilities

You’ll work across

Full-stack application development
Marketing data and attribution
Meta Pixel & Conversion API (CAPI)
AI-powered marketing workflows
CRM integrations and automation
Internal dashboards and operational tools
You’ll work directly with leadership, media buyers, and operators to turn real business problems into production-ready systems that improve campaign performance, lead conversion, and operational efficiency .
If you’re a strong full-stack engineer who understands both software engineering and performance marketing technology , this role is a strong fit.
Full-Stack & Internal Tool Development — Primary Focus

You’ll

Develop marketing dashboards and reporting systems
Build internal operational tools used by media buyers and teams
Replace repetitive manual workflows with scalable software
Develop reliable backend services and integrations
Take systems from concept through production deployment
Continuously improve tools based on real user and campaign needs
Marketing Data, Tracking & Attribution — Core Focus

Own and improve the technical infrastructure connecting advertising performance to actual business outcomes.

You’ll

Implement and optimize Meta Pixel
Work hands-on with Meta Conversion API (CAPI)
Configure accurate event tracking
Handle event deduplication
Improve attribution accuracy
Troubleshoot tracking discrepancies

You’ll also

Automate lead routing and assignment
Build pipeline management workflows
Configure webhooks and API integrations
Sync CRM conversion outcomes back to advertising platforms
Support offline conversion and CAPI event tracking
Maintain data consistency across systems
Troubleshoot broken integrations and automation workflows
APIs, Webhooks & Systems Integration

Build reliable connections between marketing and operational platforms.

You’ll work extensively with

REST APIs
Webhooks
Third-party integrations
Automation platforms
CRM APIs
Advertising APIs
AI APIs
Backend data flows

Ensure systems remain accurate, scalable, and reliable as campaign volume grows.

Rapid Execution & Iteration

This is a fast-moving environment where engineering directly impacts revenue.

Your day may include

Building a new internal tool in Next.js and React
Developing Python backend functionality
Troubleshooting Meta CAPI or Pixel tracking
Investigating attribution discrepancies
Connecting CRM conversion data to advertising platforms
Building or improving a marketing performance dashboard
Creating an AI-powered lead qualification workflow
Developing API or webhook integrations
Automating repetitive operational processes
Meeting with media buyers to understand campaign bottlenecks
Shipping improvements and monitoring their real-world impact

In short: you build the technology layer connecting advertising, leads, CRM data, AI, attribution, and revenue operations.

Key Metrics for Success
Internal tools successfully adopted by media buyers and operators
Reduced manual work across marketing and CRM workflows
Accurate and reliable conversion tracking
Improved attribution across advertising and CRM systems
Faster campaign reporting and operational execution
Reliable integrations and data flows
Increased automation across repetitive processes
AI systems delivering measurable improvements in efficiency, lead quality, or conversion
Why This Role Stands Out
Build systems with direct impact on marketing performance and revenue
Work across full-stack engineering, AI, marketing technology, and automation
Solve real attribution and lead-generation problems
High ownership over technical execution
Direct collaboration with leadership and performance marketing teams
Exposure to 150+ home service businesses and significant campaign data
Opportunity to build systems that become core infrastructure for a growing agency
Fully remote environment

Requirements

You’ll

Ship production-ready solutions quickly
Test systems using real campaign data
Iterate based on performance and user feedback
Work closely with media buyers to identify bottlenecks
Troubleshoot operational and technical issues
Prioritize solutions that create measurable business impact
Balance speed with reliability and maintainability
Required Experience & Skills
Non-Negotiables
4–6+ years of hands-on software engineering experience

Strong experience with

APIs
Webhooks
Third-party integrations
Automation systems
Active use of AI tools in day-to-day engineering work
Marketing / Ad Tech Experience

Hands-on experience in a marketing, advertising, performance marketing, or ad tech environment is required .

Nice to Have

Experience working inside a performance marketing agency
Experience supporting high-volume lead generation campaigns

If you

Have 4–6+ years of software engineering experience
Are strong with Next.js, React, and Python
Have hands-on marketing or ad tech experience
Understand Meta Pixel, CAPI, attribution, and conversion tracking
Have built CRM integrations and lead automation workflows
Actively use AI in your engineering work
Love shipping systems that solve real business problems

We’d love to hear from you.

Important: Spark Hire Video Interview

As part of our application process, qualified candidates will be invited to complete a one-way video interview through Spark Hire .
This is your opportunity to introduce yourself and highlight your experience with full-stack development, Next.js, React, Python, marketing technology, Meta Pixel/CAPI, CRM integrations, attribution, automation, and AI-powered systems .

We recommend sharing specific examples of systems you have personally built and deployed—especially projects involving marketing data pipelines, conversion tracking, CRM automation, internal dashboards, APIs, webhooks, or AI integrations . Focus on your individual technical contribution and the measurable business impact of your work.

Please complete your Spark Hire interview promptly after receiving the invitation. Candidates who do not complete the video interview may not move forward in the hiring process.
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