Senior Manager, Marketing Operations & Automation
This is Opendoor's automation architect roleyou'll 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.
You'll eliminate manual work and build the technical infrastructure that lets a lean team manage millions in marketing spend and manage personalized lifecycle campaigns across the funnel. That means : automated dashboards and reporting, AI-powered creative testing and personalization, bulletproof conversion tracking (GTM, CAPI) and targeting, and a streamlined tech stack. You'll implement AI tools, build automation workflows, and ensure every system is optimized for speed and accuracy.
What You'll Do
1. AI & Automation Implementation
- Implement and train team on AI tools for content creation, ad copy, email personalization, and creative production
- 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 : 100s of ad variants per month)
- Build AI email personalization engine for lifecycle campaigns
2. Marketing Analytics & Reporting Infrastructure
Build and maintain automated marketing dashboardsOwn reporting infrastructure across all channels (paid search, paid social, TV, direct mail, lifecycle), partnering with Data Science as neededSurface AI-powered insights from campaign data to inform budget allocation and optimization decisionsBuild real-time performance tracking by channel, cohort, and marketSupport attribution modeling, incrementality testing, and media mix modeling initiatives3. Event Tagging & Conversion Tracking
Own and manage Google Tag Manager and S2S implementation across Opendoor propertiesEnsure accurate conversion data flows to ad platforms (Google Ads, Meta, DSP, etc.) to support targeting and bidding optimizationMaintain event taxonomy and tracking documentationQA and troubleshoot tracking issues across the funnelCoordinate with Product / Engineering teams on tracking implementation4. Marketing Tech Stack Management
Own marketing technology stack (Iterable / CRM, Google Ads, Meta, analytics platforms, attribution tools)Evaluate and implement new tools that increase team productivityManage vendor relationships and contract renewalsEnsure data flows correctly between systemsOptimize tech stack spend and consolidate redundant toolsWhat You'll Need
Technical Depth :
Expert in Google Tag Manager, GA4, and conversion tracking (pixels, server-side tagging, enhanced conversions, CAPI, CM360 etc) across major ad platformsStrong with automation tools (Zapier, Make, n8n) or ability to write scripts (Python, JavaScript)Experience implementing AI tools in marketing workflowsComfortable with APIs, webhooks, and technical integrationsSQL knowledge preferred for pulling data from warehouses (Snowflake / Redshift)Marketing Operations Experience :
5-7+ years in marketing operations, marketing analytics, or growth operations rolesExperience supporting performance marketing teams at scale ($20M+ annual spend)Track record of building automation that measurably increases team productivityUnderstanding of multi-touch attribution, incrementality testing, and measurement best practicesExperience with CRM / marketing automation platforms (Iterable, Braze, Salesforce Marketing Cloud, HubSpot)Mindset & Approach :
Builder mentality : You see manual work and immediately think "how can I automate this?"High agency : You don't wait for permissionyou prototype solutions and show resultsAI-native : Comfortable experimenting with new AI tools and teaching others how to use themSystems thinker : You design scalable processes, not one-off fixesHands-on executor : This is a pure IC roleyou build things yourself, you don't manage people who build thingsBonus Points :
Experience in high-consideration, high-value transactional businesses (real estate, auto, financial services)Background in data science, analytics engineering, or technical product managementBuilt custom dashboards using BI tools (Tableau, Looker, Mode, Quicksight, Amplitude)Experience with media mix modeling or incrementality testingExperience with Segment, Snowflake, LiveRampWorking knowledge of brand safety / viewability and verification toolsCompensation
The base pay range for this position is $128,800 - $177,100 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical / dental / vision insurance, life insurance, and 401(k) to eligible employees.