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Open nowPosted 116 days ago

Full Stack Engineer

Workable (global search)109,826 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowFull Stack EngineerWorkable (global search) · United States

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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

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  2. 3.6%3 days
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  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 116 days ago

Workable (global search) median: 2 days open

The posting

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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