Why This Role Stands Out
This remote Full Stack Engineer role offers an exciting opportunity to build and scale internal systems that directly impact campaign performance and revenue for a fast-growing marketing agency. You'll thrive here if you have proven experience in ad tech and enjoy developing production-ready solutions that integrate AI and automation, making a tangible difference in client success. Don't miss out on this chance to shape the future of marketing operations!
Quick Overview
Job Description
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
1. Internal Tool Development (Primary Focus)
- 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
2. Marketing Data, Tracking & Attribution (Core Focus)
- 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)
3. AI Integration in Marketing Workflows
- 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
4. CRM & Lead Lifecycle Automation (Critical)
- 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
5. Rapid Execution & Iteration
- 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
#LI-AG1
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