How will you make an impact:
- Architect AI-Native Workflows (and Growth Infrastructure): Identify high-leverage interventions where AI can eliminate human friction.
- Build the "hard" integrations — custom agent architectures and complex data pipelines — and also the broader Growth Enablement foundations: data frameworks, marketing data architecture, attribution modeling & MMM.
- Drive 100x Experimentation Velocity: Move us from a 4–8 week manual test cycle to a system where AI detects anomalies, generates hypotheses, and deploys signal-triggered experiments autonomously by Day 90.
What makes you a great fit:
- You have at least 6-10+ years of experience across Growth, MarTech, or Product.
- You understand the funnel and lifecycle, and you also speak "API" and "Architecture" fluently with engineers.
- Hard requirement: you haven’t just used AI tools — you have shipped an AI agent, an automation, or an AI-native workflow that is currently in production.
Processes & Operating Model
- Partner closely with the CGO and Growth leaders to set priorities, define the experimentation cadence, and align incentives and measurement.
- Build an operating model that keeps experimentation inside Marketing/Sales/Partnerships teams while ensuring patterns are captured, standardized, and scaled.
- Collaborate with Engineering, Data, and IT to ship secure, maintainable integrations and data pipelines that reduce "coordination tax" across the org.