Marketing Systems Engineer (AI & Ad Tech)
Pavago
Posted: May 1, 2026
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Quick Summary
Marketing Systems Engineer (AI & Ad Tech) with hands-on experience in marketing/ad tech environments, building and scaling internal systems to support campaign performance.
Required Skills
Job Description
Job Title: Marketing Systems Engineer (AI & Ad Tech)
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 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
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
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