Growth Martech Ops Lead: AI-Driven Data & Activation

Precision Labs

San Francisco, Northern (CA, KY)

Hybrid

USD 180,000 - 240,000

Full time

11 days ago
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Job summary

OpenAI is seeking an experienced marketing technology and operations leader to drive cross-functional work at the intersection of growth, data, and automation. Your mission will be to turn fragmented tools, signals, and workflows into reliable, measurable, AI-enabled capabilities that teams can use safely at scale.

You'll work across Growth, Marketing Operations, Product, Engineering, Data Engineering, Data Science, Security, Privacy, Legal, and Revenue Operations, as well as external

Qualifications

  • 8+ years in marketing technology, growth operations, or analytics.
  • Experience leading cross-functional systems initiatives through design and launch.
  • Strong ability to translate business requirements into data contracts and integrations.

Responsibilities

  • Own the operating model for Growth's marketing tech stack.
  • Own and operate paid-media tracking and measurement system.
  • Design and implement event schemas, data mappings, APIs, and integrations.
  • Build AI-enabled workflows for campaign diagnostics and optimization.
  • Establish data quality, observability, governance, and change-management.
  • Use data to improve capabilities and scale what works.

Skills

Marketing technology
Growth operations
Marketing analytics
Solutions engineering
Technical consulting
Cross-functional leadership
SQL
APIs
Data pipelines
Event schemas
AI-enabled workflows

Tools

CRM systems
CDP
Advertising platforms
Measurement providers

Job description

OpenAI is seeking an experienced marketing technology and operations leader to drive cross-functional work at the intersection of growth, data, and automation. Your mission will be to turn fragmented tools, signals, and workflows into reliable, measurable, AI-enabled capabilities that teams can use safely at scale.

You'll work across Growth, Marketing Operations, Product, Engineering, Data Engineering, Data Science, Security, Privacy, Legal, and Revenue Operations, as well as external

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