Source description
About the role
Marketing Technology & Integrations: Build and maintain robust server-to-server (S2S) integrations with major ad platforms (Meta CAPI, Google S2S, AppsFlyer) and own end-to-end web/app tracking parity, smart script inserts, and SKAN setup.
Tracking Standards & Governance: Own the overarching Marketing Tracking Standards (event naming conventions, schema versioning, consent management tooling), acting as the final technical authority on tracking implementation quality.
Attribution Product Engineering: Engineer and refactor the data infrastructure feeding our attribution models, connecting ad-platform spend APIs, matching session data, and piping profit/gross margin data back to ad networks to enable value-based bidding.
AI-Powered Growth Engineering: Productionise ML models from notebook prototypes to monitored pipelines (CLTV scoring, causal impact tooling, non-trackable conversion models) and build AI-assisted tools like automated anomaly detection on spend or LLM-powered taxonomy systems.
Sales Tech & AI Tooling Enablement: Build pipeline infrastructure for lead scoring, intent signal enrichment, and CRM data quality, while owning the integration layer for Sales-side AI experimentation tools (e.g., ElevenLabs, Supersonic, TDO, Moon Scale).
Signal Enhancement: Implement advanced matching, first-party data enrichment, and probabilistic matching to maximize signal quality as third-party tracking continues to degrade.
Cross-Squad Collaboration: Act as the technical point of contact for individual Growth squads, unblocking integration roadblocks, reviewing their instrumentation, and proactively replacing bespoke solutions with scalable, shared platform infrastructure.
Codifying Knowledge: Document architectural decisions, integration patterns, and data standards to ensure institutional growth knowledge is structured, accessible, and built to scale over time.
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