Marketing Systems Engineer (AI & Ad Tech)

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 Marketing Systems Engineer (AI & Ad Tech) 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

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

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)

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

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

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)
• 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