Role Description 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 Marketing Systems Engineer (AI & Ad Tech) 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 that enable 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 AI platforms - Build AI systems embedded into live marketing and operational workflows - 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 - 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 Qualifications - 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) - 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

• Take ownership of significant pieces of the Developer Platform, across monorepo CI/CD, the Agentic AI platform (DriftlessAF), shared build infrastructure, or the change-throughput substrate, and contribute to technical direction alongside the rest of the team. • Improve the speed, reliability, and developer experience of the monorepo CI/CD pipeline so engineers spend more time shipping and less time waiting on or debugging builds. • Contribute to the next generation of change throughput — exploring substrates beyond PR-based workflows for agent-driven changes, helping enable trusted agents to commit directly to main with automated validation, and supporting AI-assisted review and auto-merge for low-risk changes. • Help productionize the Agentic AI platform: agent observability (structured traces, costs, debuggability), RAG-as-platform so any team can give its agents shared memory, and the context-engineering patterns (skills, tools, memory) that keep agents reliable from dev through prod. • Work with the team to consolidate fragmented build systems and deliver standardized "paved road" blueprints so new products can onboard to the monorepo and ship to production quickly. • Partner directly with engineers across the company to identify toil, codify patterns, and automate repetitive manual work away — treating internal stakeholder teams as customers of the platform. • Mentor teammates, raise the bar on design and code review, and serve as a technical voice for engineering velocity and operational excellence.

• Lead the design, development, and deployment of a new lunar lander test facility from concept to operations. • Define and synthesize system-level requirements for a remote lunar lander test site supporting hot firing and hopper flight testing. • Lead the design and implementation of the complete facility, including ground infrastructure and utilities. • Specify and implement propellant and pressurization systems including Liquid Oxygen, Liquid Methane, Helium, and Nitrogen. • Design infrastructure enabling autonomous operation of a remote site (power generation, storage, logistics, safety systems). • Develop P&IDs for propulsion test facilities and associated ground support equipment. • Design, size, and select components for cryogenic and high-pressure fluid systems. • Ensure safe handling, storage, and distribution of cryogenic propellants and pressurants. • Define facility layout, foundations, structural interfaces, and site infrastructure requirements. • Coordinate with civil engineering partners to implement test stands, safety perimeters, and support buildings. • Define and implement automation architectures for test operations and facility control, including safe connections with the vehicle to test. • Develop and validate safety-critical systems protecting personnel, hardware, and environment. • Perform hazard analyses (FMEA, HAZOP, risk assessments) and implement mitigation measures. • Develop test procedures, operational concepts, and commissioning plans. • Lead end-to-end development of the test facility including design, procurement, manufacturing, installation, commissioning, and operations readiness. • Manage technical interfaces with internal teams, customers, and external suppliers. • Perform trade-off analyses to optimize performance, safety, cost, and schedule. • Support on-site deployment, integration, and test campaigns in the UAE.

• Lead the design, development, and deployment of MuleSoft integration solutions using Anypoint Platform • Mentor the internal team on MuleSoft best practices, supporting a smooth transition from the current tech stack (.NET, JavaScript, C#) • Collaborate with teams and stakeholders to define integration requirements and strategies • Troubleshoot and resolve integration issues to ensure performance, security, and scalability • Develop custom connectors and leverage DataWeave for data transformation • Lead code reviews, ensuring adherence to best practices and facilitating knowledge-sharing within the team • Maintain and enhance existing integrations to meet changing business needs • Create technical documentation and present solutions to stakeholders • Stay current on MuleSoft’s latest practices, technologies, and trends