Job Title: Full Stack Engineer
Location: Full-Time, Remote
Working Hours: US Hours - EST
About the Role
Our client is a fast-growing marketing agency serving over 150 home service businesses. They specialize in performance-driven campaigns and are heavily investing in AI and automation to improve lead generation, tracking accuracy, and operational efficiency.
They are looking for a hands-on Full Stack Engineer with proven experience in marketing/ad tech environments to build and scale internal systems that directly support campaign performance and revenue operations.
This is a builder role, not a strategy-only position.
You will develop internal tools, integrate AI into marketing workflows, and improve how the agency operates across ad platforms, tracking systems, and CRM-driven pipelines.
You’ll work closely with leadership, media buyers, and operators to turn ideas into production-ready systems that directly impact campaign performance and lead conversion.
Key Responsibilities
Build and deploy internal tools using Next.js, React, and Python
Develop marketing dashboards, reporting systems, and operational tools
Replace manual workflows with scalable, automated solutions
Implement and optimize Meta Pixel and Conversion API (CAPI)
Ensure accurate event tracking, deduplication, and attribution
Build pipelines connecting ad platforms → backend systems → dashboards
Develop reporting systems that enable campaign optimization (ROAS, CPL, conversion quality)
Apply AI to real marketing use cases such as:
Ad copy and creative generation
Lead scoring and qualification
Campaign insights and reporting automation
Work with APIs such as OpenAI and similar AI platforms
Build AI systems embedded into live marketing and operational workflows
Integrate and automate CRM systems such as GoHighLevel, Close CRM, HubSpot, or similar
Build systems connecting lead capture → CRM → follow-ups → conversion tracking
Implement automations including lead routing, pipeline management, and conversion syncing (offline events/CAPI)
Ensure data consistency between ad platforms and CRM outcomes
Ship quickly, test, and iterate based on real campaign data
Collaborate with media buyers to solve campaign and operational bottlenecks
Continuously improve systems that impact marketing performance and efficiency Requirements (Non-Negotiable)
4–6+ years of hands-on software engineering experience
Strong full-stack skills (React / Next.js + Python)
Proven experience building and deploying production-level tools and systems
Experience working with APIs, webhooks, and automation systems
Active use of AI tools in day-to-day work
Hands-on experience working in marketing or ad tech environments (agency or performance marketing preferred)
Experience implementing or working with Meta Pixel and/or Conversion API (CAPI), including event tracking, deduplication, and attribution
Experience building dashboards or reporting systems for marketing campaigns (e.g., Meta Ads performance)
Hands-on experience integrating and automating CRM systems (e.g., GoHighLevel, Close, HubSpot, or similar)
Including lead capture, routing, pipeline management, and conversion tracking
Experience connecting ad platforms with CRM systems for attribution and reporting
Builder mindset with a strong bias toward execution Nice to Have
Experience working in a performance marketing agency environment
Familiarity with paid media metrics (ROAS, CPL, CAC, conversion rates)
Experience with tools like Zapier, Make, or similar automation platforms
Understanding of data pipelines and attribution challenges (e.g., iOS/privacy changes) What Success Looks Like
Internal tools actively used by media buyers and operators
Reduced manual work across campaign and CRM workflows
Accurate and reliable tracking and attribution across systems
Faster execution of campaigns and reporting
AI-driven systems improving lead quality, conversion rates, and efficiency Interview Process
Initial Phone Screen
Video Interview with Pavago Recruiter
Client Interview
Offer & Background Verification
