{"id":2725986,"url":"https://alion.io/job/pavago-full-stack-engineer-8","title":"Full Stack Engineer","company":{"id":1117,"name":"Pavago","domain":"pavago.co","url":"https://alion.io/company/pavago","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":76,"open_postings":192,"ghost_share":0,"stale_share":0.974,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"UTC-8 – UTC-5","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["PK"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true},{"name":"Zapier","optional":true}],"status":"live","first_seen_at":"2026-10-16T16:19:08Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T00:32:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Full Stack Engineer - Marketing Tech, AI & Automation | Remote\nPosition Type: Full-Time, Remote\nWorking Hours: U.S. Business Hours - EST\nAbout the Role\nAt Pavago, one of our clients - a fast-growing marketing agency serving 150+ home service businesses - is hiring a Full Stack Engineer to build and scale internal technology that directly supports marketing performance, lead generation, attribution, and revenue operations.\nThis is a hands-on builder role, not a strategy-only engineering position.\nYou’ll build production-ready internal tools using Next.js, React, and Python, connect advertising platforms with CRM and backend systems, improve marketing attribution, and integrate AI into real-world marketing workflows.\nYou’ll work closely with leadership, media buyers, and operators to turn operational problems into scalable technical solutions.\nWhat You’ll Own\nInternal Tool Development - Primary Focus\nBuild and deploy internal applications using Next.js, React, and Python\nDevelop dashboards, reporting systems, and operational tools for marketing teams\nBuild production-ready systems that can scale across 150+ client accounts\nReplace manual processes with automated internal tools\nMaintain and improve existing applications as business requirements evolve\nMarketing Data, Tracking & Attribution\nImplement and optimize Meta Pixel and Conversion API (CAPI)\nManage event tracking, deduplication, and conversion attribution\nBuild data pipelines connecting:\nAd platforms\nBackend systems\nCRM platforms\nReporting dashboards\nImprove accuracy between advertising data and actual lead/customer outcomes\nBuild reporting systems around metrics such as:\nROAS\nCPL\nCAC\nConversion rates\nLead quality\nTroubleshoot attribution and tracking discrepancies\nCRM & Lead Lifecycle Automation\nIntegrate and automate platforms such as:\nGoHighLevel\nClose CRM\nHubSpot\nSimilar CRM systems\nBuild workflows connecting lead capture → CRM → follow-up → conversion\nAutomate lead routing, pipeline management, and lifecycle updates\nSync CRM conversion outcomes back to advertising platforms through offline events/CAPI\nEnsure data remains accurate and consistent across systems\nUse APIs and webhooks to create reliable integrations between marketing platforms\nAI Integration & Marketing Automation\nBuild AI functionality directly into marketing and operational workflows\nApply AI to use cases such as:\nAd copy and creative generation\nLead scoring and qualification\nCampaign analysis\nAutomated reporting\nOperational workflow automation\nWork with APIs from OpenAI and similar AI platforms\nBuild AI-powered systems that move beyond prototypes into real production workflows\nIdentify repetitive processes that can be automated or accelerated with AI\nRapid Development & Iteration\nShip quickly and iterate based on real campaign and user feedback\nWork directly with media buyers to identify technical bottlenecks\nTranslate operational requirements into practical technical solutions\nTroubleshoot issues across applications, integrations, tracking, and automation\nContinuously improve systems that affect campaign performance and operational efficiency\nMust-Have Experience & Skills\n4-6+ years of hands-on software engineering experience\nStrong full-stack development experience with:\nReact\nNext.js\nPython\nProven experience building and deploying production-level applications and internal tools\nStrong experience working with APIs, webhooks, integrations, and automation systems\nHands-on experience in a marketing technology, ad tech, agency, or performance marketing environment\nExperience implementing or managing Meta Pixel and/or Meta Conversion API (CAPI)\nStrong understanding of:\nEvent tracking\nDeduplication\nAttribution\nConversion tracking\nExperience building marketing dashboards and reporting systems\nHands-on experience integrating CRM platforms such as GoHighLevel, Close CRM, HubSpot, or similar\nExperience automating lead capture, routing, pipelines, follow-ups, and conversion tracking\nExperience connecting advertising platforms with CRM data for attribution and reporting\nActive day-to-day use of AI tools and APIs\nStrong builder mentality with a bias toward shipping and execution\nAbility to work remotely during U.S. EST hours\nNice to Have\nExperience working directly inside a performance marketing agency\nExperience supporting paid media teams or media buyers\nUnderstanding of ROAS, CPL, CAC, conversion rates, and lead quality\nExperience with Zapier, Make, or similar automation platforms\nExperience designing and maintaining marketing data pipelines\nUnderstanding of attribution challenges caused by privacy changes and iOS tracking restrictions\nExperience building AI-powered internal tools\nFamiliarity with multi-client or agency reporting environments\nTools & Tech\nReact | Next.js | Python | Meta Pixel | Meta CAPI | GoHighLevel | Close CRM | HubSpot | OpenAI APIs | REST APIs | Webhooks | Zapier | Make | AI & Automation Tools\nWhat Makes You a Strong Fit\nYou’re a builder first - you enjoy turning problems into working software\nYou understand engineering in the context of marketing performance and revenue\nYou can move comfortably between frontend, backend, APIs, CRM systems, and marketing data\nYou understand why accurate tracking and attribution matter to media buyers\nYou use AI as part of your everyday engineering workflow\nYou prefer shipping, testing, and improving over prolonged planning\nYou can independently troubleshoot technical and operational problems\nYou enjoy working directly with non-technical operators to build solutions they actually use\nWhat a Typical Day Looks Like\nYou might start by reviewing a tracking discrepancy between Meta Ads and CRM conversions, then troubleshoot the event flow and CAPI implementation.\nLater, you may build a Next.js dashboard for media buyers, create a Python service that automates campaign reporting, connect GoHighLevel data to an attribution pipeline, or integrate an AI model to score incoming leads.\nYou’ll regularly collaborate with media buyers and leadership, ship improvements, monitor how they perform in production, and iterate quickly.\nIn short: you build the technical infrastructure that makes marketing campaigns more measurable, automated, and effective.\nWhat Success Looks Like\nInternal tools are actively adopted by media buyers and operators\nManual campaign and CRM workflows are significantly reduced\nTracking and attribution are accurate and reliable\nAd platform and CRM data remain properly synchronized\nCampaign reporting becomes faster and more actionable\nEngineering solutions improve operational speed and efficiency\nAI-powered systems contribute to better lead quality and conversion performance\nInterview Process\nInitial Phone Screen\nSpark Hire Video Interview\nVideo Interview with Pavago Recruiter\nClient Interview\nOffer & Background Verification\nApply Now\nIf you’re a Full Stack Engineer with strong React, Next.js, Python, marketing technology, Meta CAPI, CRM integration, and AI automation experience, we’d love to hear from you.\nThis is an opportunity to build systems that directly influence marketing performance, attribution, lead conversion, and revenue across a rapidly growing agency.\n#FullStackEngineer #FullStackDeveloper #NextJS #ReactJS #Python #MarketingTechnology #AdTech #MetaCAPI #GoHighLevel #HubSpot #AIEngineering #Automation #RemoteDeveloper #RemoteJobs\n#LI-AG1","description_format":"text","description_chars":7366,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Pakistan","iso":"PK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Employer of Record & PEO"],"lifecycle":[{"event":"open","at":"2026-10-16T16:19:08Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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