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Full Stack Engineer

Pavago · pavago.com
United StatesRemoteMid level4–6 yrs
Apply on Pavago’s site

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Full Stack Engineer
Remote · found 1 d ago

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The job in short

Full-stack software development.

PythonReactMarketingEmbedded

Details

Found
25 d ago · posted 2026-06-10
Location as listed
United States
Role
Full-Stack Engineer
Source
The company’s own careers site

Full 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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