Senior Growth Technology Marketing Manager, AdTech

Responsibilities

• Signal & Audience Strategy: Architect signal and audience strategy across the paid stack, own conversion integrity end-to-end, and diagnose attribution issues at the architecture level. Lead real-time, revenue-impacting incident response — quantifying dollar impact and troubleshooting directly with Google, Meta, and Snap.
• Experiment Design & Scaling: Design and run paid marketing experiments end-to-end (hypothesis, test/control, budget parity, results analysis) and turn outcomes into scaling decisions, in partnership with channel owners.
• MMP & Pipeline Architecture: Own MMP strategy and operation (postback mapping, deep-link strategy, attribution matching), and set the data flow standards connecting BigQuery, pipeline configs, the CDP, and ad platforms — shipping the underlying pipeline code yourself when needed. Define partner onboarding requirements and advise on tag management architecture.
• AI-Native Tooling & Agentic Solutions: Build and ship internal AI tooling and agentic automation for the marketing org — pipeline health monitoring, ticket triage, tag health monitoring, and performance reporting — by independently scoping requirements from ambiguous problems to shipped solutions.
• Cross-Functional Leadership: Build the process to run without escalation, and own the metrics to measure team health.

Requirements

• Experience: 6+ years in marketing technology, growth marketing, or a related quantitative/technical role, with ownership of technical systems — not just execution against them.
• Data & pipelines: Advanced SQL/Python and hands-on experience architecting audience and conversion data pipelines in BigQuery or an equivalent cloud data warehouse.
• MMP expertise: Hands-on experience with a mobile measurement platform (Kochava, Branch, AppsFlyer, or equivalent), including attribution configuration, postback mapping, and platform migration.
• Signal & CDP architecture: Experience architecting audience and conversion signal delivery across ad platforms (Google Ads, Meta, TikTok, Snap) and a CDP (Segment or equivalent).
• Agentic/AI delivery: Has shipped at least one production AI or agentic automation tool (not just a prototype), including driving requirements from an ambiguous problem to a working solution.
• Tag management: Hands-on Google Tag Manager experience (client- and server-side) and container governance.
• Experimentation track record: Has designed and run structured marketing experiments (test/control, budget parity) that led to real scaling decisions.
• Paid media scale: >$500M/year in aggregate paid media spend managed or directly influenced across platforms (Google, Meta, TikTok, Snap), with fluency in budget allocation, pacing, and ROAS trade-offs at that scale.