Full Stack Engineer
Pavago · Pakistan
- Hybrid
- Full-time
- $120,000 / year
- Pakistan
Job highlights
- Build internal tools with React and Python.
- Integrate AI into marketing workflows.
- Optimize Meta Pixel and Conversion API.
- Automate CRM and lead lifecycle processes.
- Execute and iterate rapidly on systems.
About the role
Full Stack Engineer
Location: Full-Time, Remote (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
- 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 for 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 platforms
- Build AI systems embedded into live marketing and operational workflows
- CRM & Lead Lifecycle Automation (Critical)
- Integrate and automate CRM systems (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
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 in marketing or ad tech environments (agency or performance marketing preferred)
- Experience with Meta Pixel and/or Conversion API (CAPI), including event tracking, deduplication, and attribution
- Experience building dashboards or reporting systems for marketing campaigns
- Hands-on experience integrating and automating CRM systems, including: Lead capture, Routing, Pipeline management, 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
- 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 Recruiter
- Client Interview
- Offer & Background Verification
Key skills/competency
- Full Stack Engineering
- React
- Next.js
- Python
- API Integration
- Marketing Technology (MarTech)
- Ad Tech
- CRM Automation
- AI Integration
- Data Tracking & Attribution
Skills & topics
- Full Stack Engineer
- React
- Next.js
- Python
- API
- Marketing Technology
- Ad Tech
- CRM Automation
- AI
- Data Tracking
- Attribution
- Remote
- Engineering
How to get hired
- Tailor your resume: Highlight full-stack experience, marketing/ad tech, Python, and React/Next.js. Quantify achievements.
- Showcase AI and automation skills: Detail projects using AI tools and automating workflows.
- Emphasize MarTech/AdTech experience: Provide specific examples of working with ad platforms and CRMs.
- Prepare for technical and client interviews: Be ready to discuss system design, data pipelines, and AI integration.
- Demonstrate a builder mindset: Articulate your approach to problem-solving and rapid execution.
Technical preparation
Practice React/Next.js full-stack development.,Build automation scripts with Python.,Integrate with marketing APIs (Meta, OpenAI).,Design data pipelines for reporting.
Behavioral questions
Describe a complex system you built.,How do you approach automating workflows?,Tell me about a time you integrated AI.,How do you collaborate with non-technical teams?
Frequently asked questions
- What specific AI tools or platforms does Pavago use for marketing automation?
- While the description mentions working with APIs like OpenAI and similar platforms for AI integration, specific tool choices would likely be discussed further during the interview process. Candidates with experience in various AI/ML platforms and their application in marketing are encouraged to highlight this.
- What is the expected level of contribution to AI integration for a Full Stack Engineer at Pavago?
- The role emphasizes applying AI to real marketing use cases like ad copy generation, lead scoring, and reporting automation. You'll be building AI systems embedded into live workflows, indicating a hands-on development role rather than purely conceptual.
- How does Pavago handle data tracking and attribution, especially with recent privacy changes?
- The role specifically calls for implementing and optimizing Meta Pixel and Conversion API (CAPI), ensuring accurate event tracking, deduplication, and attribution. Understanding of data pipelines and attribution challenges, including those related to privacy changes, is listed as a plus.
- What kind of CRM systems integration experience is most valuable for this Full Stack Engineer role at Pavago?
- Experience with integrating and automating CRM systems like GoHighLevel, Close CRM, or HubSpot is critical. The role involves building systems that connect lead capture to CRM, manage pipelines, and sync conversion data.
- What does 'US Hours – EST' mean for a remote Full Stack Engineer position at Pavago?
- Working 'US Hours – EST' means you will be expected to align your working hours with the Eastern Standard Time zone, regardless of your geographical location. This ensures effective collaboration with the US-based team and clients.
- Can you describe the typical career growth path for a Full Stack Engineer at Pavago?
- As a fast-growing agency heavily investing in technology, there are likely opportunities for growth as systems scale. Success in this builder role could lead to more complex projects, leadership in technical initiatives, or specialization in AI and automation within the MarTech space.
- What is the expected collaboration dynamic between the Full Stack Engineer and the media buyers at Pavago?
- The Full Stack Engineer will work closely with media buyers to solve campaign and operational bottlenecks. This involves turning their ideas into production-ready systems and continuously improving tools that directly impact campaign performance and efficiency.