Pavago specializes in connecting businesses with top-tier offshore talent in operations, sales, and marketing, offering a comprehensive recruitment solution designed to reduce cost
Full Stack Engineer
Location
EST (UTC-5)
Posted
85 days ago
Salary
0
Seniority
Mid Level
Job Description
Full Stack Engineer
Pavago
Role Description 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 - 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 Qualifications - 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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