Full Stack Engineer

๐Ÿข Pavago ยท all Pavago jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-07-04 ยท via Himalayas
๐Ÿท Software-Engineer,Martech,Full-Stack-Engineering,Backend-Development,Full-Stack-Engineer,Full-Stack-Developer,Full-Stack-Software-Engineering,AdTech-Engineering
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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 .

Youโ€™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 โ†’ backend systems โ†’ 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 โ†’ CRM โ†’ follow-ups โ†’ 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)

- 4โ€“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 cha

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