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:
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:
- 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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