Full Stack Engineer

Embedded Shishya

United States

Remote

USD 120,000 - 160,000

Full time

9 days ago
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Job summary

Embedded Shishya is seeking a hands-on Full Stack Engineer to build and scale internal tools that directly support campaign performance and revenue operations. You will work with Next.js, React, and Python to create dashboards, automation, and AI-enabled workflows.

You will integrate CRM systems (GoHighLevel, HubSpot, Close) and ad tech platforms, ensuring accurate tracking, attribution, and efficient lead pipelines across teams.

Qualifications

  • 4-6+ years of hands-on software engineering experience.
  • Strong full-stack skills with React/Next.js and Python.
  • Proven experience building and deploying production-level tools.
  • Experience working with APIs, webhooks, and automation systems.
  • Active use of AI tools in day-to-day work.
  • Hands-on experience in marketing/ad tech environments (agency or performance marketing).
  • Experience implementing or working with Meta Pixel/CAPI including event tracking and attribution.
  • Experience building dashboards or reporting systems for marketing campaigns.

Responsibilities

  • Internal Tool Development using Next.js, React, and Python.
  • Develop marketing dashboards and automation tools to replace manual workflows.
  • Integrate and optimize Meta Pixel and CAPI for accurate attribution.
  • Build pipelines linking ad platforms to backend systems and dashboards.
  • Apply AI to marketing workflows (ad copy, lead scoring, reporting).
  • CRM integration and automation across GoHighLevel, Close, HubSpot, or similar.

Skills

React/Next.js
Python
APIs & Webhooks
AI tools
CRM integrations

Tools

GoHighLevel
HubSpot
Close CRM
Meta Pixel/CAPI

Job 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
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