Full Stack Engineer

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 ahands-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 abuilder role, not a strategy-only position.

You will develop internal tools, integrate AI into marketing workflows, and improve how the agency operates acrossad platforms, tracking systems, and CRM-driven pipelines.

You’ll work closely with leadership, media buyers, and operators to turn ideas intoproduction-ready systems that directly impact campaign performance and lead conversion.

Key Responsibilities

1. Internal Tool Development (Primary Focus)

• Build and deploy internal tools usingNext.js, React, and Python
• Developmarketing dashboards, reporting systems, and operational tools
• Replace manual workflows with scalable, automated solutions

2. Marketing Data, Tracking & Attribution (Core Focus)

• Implement and optimizeMeta Pixel and Conversion API (CAPI)
• Ensure accurateevent tracking, deduplication, and attribution
• Build pipelines connectingad platforms → backend systems → dashboards
• Develop reporting systems that enablecampaign 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 asOpenAI and similar AI platforms
• Build AI systems embedded intolive marketing and operational workflows

4. CRM & Lead Lifecycle Automation (Critical)

• Integrate and automate CRM systems such asGoHighLevel, Close CRM, HubSpot, or similar
• Build systems connectinglead capture → CRM → follow-ups → conversion tracking
• Implement automations includinglead routing, pipeline management, and conversion syncing (offline events/CAPI)
• Ensuredata 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 solvecampaign and operational bottlenecks
• Continuously improve systems that impactmarketing 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 deployingproduction-level tools and systems
• Experience working withAPIs, 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)
• Includinglead capture, routing, pipeline management, and conversion tracking
• Experience connectingad platforms with CRM systems for attribution and reporting
• Builder mindset with a strong bias toward execution

Nice to Have

• Experience working in aperformance marketing agency environment
• Familiarity withpaid media metrics (ROAS, CPL, CAC, conversion rates)
• Experience with tools likeZapier, Make, or similar automation platforms
• Understanding ofdata 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 reliabletracking and attribution across systems
• Faster execution of campaigns and reporting
• AI-driven systems improvinglead quality, conversion rates, and efficiency

Interview Process

• Initial Phone Screen
• Video Interview with Pavago Recruiter
• Client Interview
• Offer & Background Verification

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