Head of Experimentation

Responsibilities:

• Own the Experimentation pillar, with direct leadership of the Product team and partnership with Engineering and Design in a triad model.
• Make the investment case across the in-product experimentation experience, warehouse-native analysis layer, and infrastructure.
• Make experimentation the measurement layer of the AI SDLC, partnering with AI product and observability leaders.

How you'll be measured:

• Win rate on experimentation-involved deals, especially head-to-head competitive evaluations.
• Reference-grade customers at the top of the maturity curve.
• Monthly active customers and active-account ARR growth against plan.

Qualifications:

• Senior product leader with deep, operator-level fluency in experimentation methodology.
• Has earned credibility with data science leaders at sophisticated organizations.
• Has led a function that includes engineering, design, and data science.

Preferred Qualifications:

• Built or scaled experimentation at an organization where it was core infrastructure.
• Personally won competitive evaluations where a sophisticated data-science organization was the deciding voice.
• Shipped warehouse-native data products and understands operational realities.