About this role
Role Overview
LaunchDarkly is seeking a Head of Experimentation to direct product strategy and commercial outcomes for the experimentation pillar in a remote, US-based position. This senior leadership role suits an experienced product executive ready to position the company as the definitive experimentation platform for an AI-accelerated world.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
LaunchDarkly helps development teams innovate faster through feature management while protecting software delivery with instant rollbacks and targeted user experiences. The platform empowers engineering organizations to release features safely, execute experiments, and eliminate the risks of traditional big-bang technology migrations. Guided by values of humility, collaboration, and respect, the company is an equal opportunity employer dedicated to fostering a diverse workforce.
How to Apply
Interested candidates should visit the official company careers page to submit an application and review open opportunities.
Questions candidates ask
What is the salary range for the Head of Experimentation role?
The salary varies by geographic zone, all inclusive of a 20% bonus. Zone 1 ranges from $301,000 to $414,000, Zone 2 ranges from $271,000 to $373,000, and Zone 3 ranges from $256,000 to $352,000.
Is this a remote position?
Yes, this role is remote within the United States.
What benefits are included alongside the salary?
Benefits include Restricted Stock Units, health insurance, vision insurance, dental insurance, and mental health benefits.
What are the core responsibilities of this position?
The role involves owning the experimentation pillar, directing product strategy with engineering and design peers, scaling warehouse-native features, winning high-maturity buyers, and integrating experimentation into the AI software development life cycle.
What qualifications are required for applicants?
Applicants need senior product leadership experience, deep fluency in experimentation methodology and statistical rigor, experience leading cross-functional teams across engineering and data science, and a track record of setting multi-quarter roadmaps for data infrastructure products.
