Full Stack Engineer

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
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 the technology powering its marketing, lead generation, tracking, and revenue operations.
This is a hands-on builder role, not a strategy-only engineering position.
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.
What You’ll Own
Full-Stack & Internal Tool Development — Primary Focus
Build, deploy, and maintain internal applications using:

Next.js

React

Python

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

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
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.
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 full-stack development experience with:

React

Next.js

Python

Proven experience building and deploying production-level applications or internal tools

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.
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

Nice to Have

Experience working inside a performance marketing agency

Experience supporting high-volume lead generation campaigns

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
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

Interview Process

Initial Phone Screen

Video Interview with Pavago Recruiter

Client Interview

Offer & Background Verification

Apply Now
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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Originally posted on Himalayas