OpenAI

Growth – AI Workflows, Martech, Creative Systems

OpenAI

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York

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Salary

💰 $265,000 per year

Job Level

SeniorLead

Tech Stack

Cloud

About the role

  • Design and launch AI-powered creative systems (dynamic content generation, automated asset production, experimentation tooling) that enable rapid, personalized campaigns across multiple channels.
  • Build and scale a modern martech stack (data pipelines, automation platforms, experimentation frameworks) that supports sophisticated targeting, measurement, and real-time optimization.
  • Be scrappy and build MVPs, then partner with engineering to architect 0→1 infrastructure—including APIs, event triggers, and growth tools—that accelerates testing velocity and supports global rollout.
  • Develop testing roadmaps and experimentation strategies to evaluate new AI workflows, creative concepts, and delivery channels, driving measurable impact on acquisition, activation, and retention.
  • Collaborate with design and creative teams to operationalize scalable asset creation, ensuring content meets brand standards while enabling high-volume iteration.
  • Build full-funnel dashboards and attribution models with data science to surface opportunities, measure incremental impact, and guide prioritization.
  • Serve as a bridge between marketing, product, growth and technical teams, translating growth objectives into system requirements and scalable solutions.

Requirements

  • 8+ years of growth or marketing technology experience spanning both consumer (B2C) and business (B2B) products, with a track record of designing and scaling AI-driven growth systems.
  • Demonstrated success building 0→1 infrastructure—from proof of concept to scaled platform—for creative automation, personalization, or experimentation.
  • Deep knowledge of martech ecosystems and experience working with APIs, event streams, and cloud data warehouses.
  • Strong analytical skills with the ability to model funnels, run incrementality studies, and translate data into actionable growth strategies.
  • Proven ability to collaborate with engineering, product, data science, and design to deliver complex, cross-functional initiatives.
  • Experience applying AI/ML techniques (e.g., generative models, predictive scoring, decisioning engines) to marketing or growth use cases is a strong plus.
  • Ability to balance strategic planning with hands-on execution—comfortable prototyping workflows, evaluating new vendors, building lightweight apps/MVPs, and optimizing systems directly.
  • A test-and-learn mindset and comfort operating in a fast-paced, highly iterative environment.
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