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 conve