VP, Experimentation & AI Platform — Remote US

LaunchDarkly Group; Northern (KY); Hybrid; USD 301,000 - 414,000; Full time

Job summary

LaunchDarkly is seeking a senior product leader to own the experimentation pillar in an AI-accelerated world. You will direct the product team, partner with Engineering and Design, and shape the strategy, roadmap, and commercial outcomes for in-product experimentation, warehouse-native analysis, and scalable infrastructure.

You will win high-maturity buyers, collaborate with data scientists, and extend warehouse-native analytics across data warehouses, delivering an end-to-end closed loop from

Qualifications

• Senior product leader with track record owning a data-infrastructure/experimentation product line.
• Deep fluency in experimentation methodology and production data environments.
• Credible with data science leaders; can recruit top talent.
• Led a function including engineering, design, and data science; able to plan multi-quarter roadmaps.
• Clear communicator; fast decision-maker; shipping-focused.
• Opinions on AI-native experimentation and autonomous systems use.

Responsibilities

• Own the Experimentation pillar; lead product team; set strategy and roadmap; align with GTM.
• Productize AI-native primitives; closed loop from offline eval to production experiments.
• Win high-maturity buyers; ship depth features with warehouse coverage and analytics.
• Expand warehouse-native analytics across data warehouses; parity in analysis-only mode; metrics.
• Run a high-performing function; disciplined roadmap; AI-assisted productivity; hire gaps.
• Be external face; translate strategy to field; enable sales to win head-to-head.

Skills

Product leadership

Experimentation mastery

Cross-functional leadership

Data science credibility

Strategic roadmapping

Job description

LaunchDarkly is seeking a senior product leader to own the experimentation pillar in an AI-accelerated world. You will direct the product team, partner with Engineering and Design, and shape the strategy, roadmap, and commercial outcomes for in-product experimentation, warehouse-native analysis, and scalable infrastructure.

You will win high-maturity buyers, collaborate with data scientists, and extend warehouse-native analytics across data warehouses, delivering an end-to-end closed loop from