Senior Growth Technology Marketing Manager, AdTech

Intuit, Inc.

Oakland (CA)

On-site

USD 136,000 - 183,000

Full time

11 days ago
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Job summary

Intuit, Inc. is hiring a Senior Growth Technology Manager for AdTech to architect signals and audiences for Credit Karma’s paid marketing stack. You will ship pipeline changes, implement MMP/CDP integrations with BigQuery, and partner with Google, Meta, and TikTok to improve ROAS.

You will own real-time incident response with ad platform partners, drive experimentation, and help scale paid media across multiple platforms with senior leadership oversight.

Qualifications

  • 6+ years in marketing tech, growth marketing, or similar quantitative role.
  • Advanced SQL and Python; hands-on data pipelines in cloud warehouses.
  • MMP experience (Kochava/AppsFlyer/Branch) incl. attribution and postback mapping.
  • CDP and signal delivery across Google/Meta/TikTok/Snap.
  • Shipped production AI or agentic automation tooling.
  • Hands-on tag management with GTM client/server and governance.

Responsibilities

  • Architect signal and audience strategy across paid stack and diagnose attribution issues.
  • Design and run paid marketing experiments end-to-end and scale results.
  • Own MMP strategy: postback mapping, deep-linking, data flow standards.
  • Build internal AI tooling and automation for marketing workflows.
  • Lead cross-functional initiatives without escalation and track team health.

Skills

SQL/Python
BigQuery
MMP/Attribution
CDP/Segment
Paid media
Experimentation
Tag Manager
Budgeting/ROAS

Tools

Google Tag Manager
Kochava
Segment
GA4

Job description

Growth Technology is the commercialization platform team for Intuit's Consumer Group (powering TurboTax and Credit Karma). This role focuses on Credit Karma's paid marketing tech stack — signals, audiences, attribution, MMP, CDP, pipelines, BigQuery, and AI-native tooling — partnering closely with Credit Karma's growth marketing team on experiment design, channel sequencing, budget scaling decisions, and ROAS analysis.

About the Role

As the Senior Growth Technology Manager for AdTech, you will serve as the technical architect for understanding how Credit Karma's paid marketing signals and audiences work — shipping pipeline changes and building the tools to allow paid media team make buying decisions faster. You will carry deep expertise in buying and optimizing paid media, including signals, audiences, attribution, MMP, CDP, experiment design, and channel sequencing.

You are primarily responsible for direct, measurable ownership in ROAS efficiency with significant influence over paid media tech roadmap, and for ensuring we have the strongest signals with ad platform partners (Google, Meta, Snap, TikTok) and MMP partners like Kochava. This is a strategic, build-oriented, and hands-on technical role: you will serve as the technical point of contact in live, revenue-impacting incidents with ad platform partners.

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.
Qualifications
  • 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.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Oakland $135,500 - $183,000
San Diego, CA $120,000- $162,000

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