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Senior Manager, Marketing Operations & Automation
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2025-11-25
Listing for:
Opendoor
Full Time
position Listed on 2025-11-25
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Security
Job Description & How to Apply Below
Senior Manager, Marketing Operations & Automation
Join to apply for the Senior Manager, Marketing Operations & Automation role at Opendoor
.
Locations:
Miami, Phoenix, Seattle, San Francisco, Toronto.
Reports to:
VP Acquisition & Lifecycle Marketing.
Team:
Acquisition & Lifecycle Marketing.
This is Opendoor's automation architect role—you will be the force‑multiplier that enables a lean, AI‑powered marketing team to punch far above its weight. Your job is to eliminate manual work, implement AI tools across the organization, and build the infrastructure that lets our team operate at 2-3x productivity while driving better results.
What You'll Do- Implement and train the team on AI tools for content creation, ad copy, email personalization, and creative production (e.g., Copy.ai, Jasper, Midjourney).
- Build automation workflows across marketing operations using Zapier, Make, n8n, or custom solutions.
- Automate repetitive processes: campaign QA, broken link checks, UTM tracking validation, lead scoring/routing.
- Scale AI‑powered creative testing (goal: hundreds of ad variants per month).
- Build AI email personalization engine for lifecycle campaigns.
- Build and maintain automated marketing dashboards.
- Own reporting infrastructure across all channels (paid search, paid social, TV, direct mail, lifecycle), partnering with Data Science as needed.
- Surface AI‑powered insights from campaign data to inform budget allocation and optimization decisions.
- Build real‑time performance tracking by channel, cohort, and market.
- Support attribution modeling, incrementality testing, and media mix modeling initiatives.
- Own and manage Google Tag Manager and S2S implementation across Opendoor properties.
- Ensure accurate conversion data flows to ad platforms (Google Ads, Meta, DSP, etc.) to support targeting and bidding optimization.
- Maintain event taxonomy and tracking documentation.
- QA and troubleshoot tracking issues across the funnel.
- Coordinate with Product/Engineering teams on tracking implementation.
- Own marketing technology stack (Iterable/CRM, Google Ads, Meta, analytics platforms, attribution tools).
- Evaluate and implement new tools that increase team productivity.
- Manage vendor relationships and contract renewals.
- Ensure data flows correctly between systems.
- Optimize tech stack spend and consolidate redundant tools.
- Expert in Google Tag Manager, GA4, and conversion tracking (pixels, server‑side tagging, enhanced conversions, CAPI, CM360, etc.) across major ad platforms.
- Strong with automation tools (Zapier, Make, n8n) or ability to write scripts (Python, JavaScript).
- Experience implementing AI tools in marketing workflows.
- Comfortable with APIs, webhooks, and technical integrations.
- SQL knowledge preferred for pulling data from warehouses (Snowflake/Redshift).
- 5‑7+ years in marketing operations, marketing analytics, or growth operations roles.
- Experience supporting performance marketing teams at scale ($20M+ annual spend).
- Track record of building automation that measurably increases team productivity.
- Understanding of multi‑touch attribution, incrementality testing, and measurement best practices.
- Experience with CRM/marketing automation platforms (Iterable, Braze, Salesforce Marketing Cloud, Hub Spot).
- Builder mentality: you see manual work and immediately think “how can I automate this?”
- High agency: you don't wait for permission—you prototype solutions and show results.
- AI‑native: comfortable experimenting with new AI tools and teaching others how to use them.
- Systems thinker: you design scalable processes, not one‑off fixes.
- Hands‑on executor: this is a pure IC role—you build things yourself, you don't manage people who build things.
- Experience in high‑consideration, high‑value transactional businesses (real estate, auto, financial services).
- Background in data science, analytics engineering, or technical product management.
- Built custom dashboards using BI tools (Tableau, Looker, Mode, Quicksight, Amplitude).
- Experience with media mix modeling or incrementality testing.
- Experience with Segment, Snowflake, Live Ramp.
- Working knowledge of brand…
Position Requirements
10+ Years
work experience
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