# Head of Experimentation

**Company:** [Launchdarkly](https://hotfix.jobs/companies/launchdarkly)
**Location:** Remote
**Role:** Product Management
**Salary:** $256k – $352k/yr
**Experience:** 8+ years
**Skills:** Causal Inference, Variance Reduction, Ratio Metrics, Sequential Testing, Multi-Armed Bandits, Warehouse-Native Analytics, Production Experimentation, Exposure Design, Statistical Significance, Ai Evaluation, Data Warehouses, Autonomous Agents
**Posted:** 2026-08-06

> Leads the experimentation product pillar, setting strategy and roadmap across statistical infrastructure, warehouse-native analysis, and AI experimentation. Requires senior product leadership, deep experimentation methodology expertise, and experience serving sophisticated data science organizations.

## Job Description

## Responsibilities

- Own the Experimentation pillar, providing direct leadership to Product and partnering with Engineering and Design counterparts in a triad model.
- Set the pillar strategy, deliver the roadmap, and own commercial outcomes across the in-product experimentation experience, warehouse-native analysis layer, and scaling infrastructure.
- Make experimentation the measurement layer of the AI software development lifecycle by connecting offline evaluation, production experiments, automatic promotion and rollback, and feedback loops for agents.
- Win sophisticated data organizations by defining and delivering statistical depth, warehouse coverage, and experiment-first workflows.
- Expand warehouse-native capabilities across major data warehouses and query layers, including analysis-only mode, variance reduction, ratio and percentile metrics, exposure validation, and arbitrary-window analysis.
- Run a high-performing function with disciplined roadmaps, predictable quarterly delivery, AI-assisted engineering productivity, and targeted hiring.
- Represent the product externally to data scientists, product managers, experimenters, analysts, and partners; translate strategy for the field and equip Sales for competitive evaluations.

## Requirements

- Senior product leader at the GM, VP, or equivalent level with experience owning a product line competing on statistical rigor and data infrastructure.
- Operator-level fluency in experimentation methodology, including causal inference, variance reduction, ratio metrics, sequential testing, exposure design, multi-armed bandits, and composite or multi-objective metrics.
- Experience operating experimentation at scale against production data warehouses and non-deterministic systems where output variance affects sample-size and significance decisions.
- Credibility with data science leaders and experimentation specialists at sophisticated organizations, with the ability to recruit them.
- Experience leading a function spanning engineering, design, and data science.
- Ability to set multi-quarter roadmaps, allocate investments, and report results to executive teams and boards.
- Clear, direct communication and fast decision-making with incomplete information.
- Strong bias toward shipping and learning over lengthy requirements documentation.
- A well-developed perspective on experimentation in an AI-native world, including how agents and autonomous systems use experimentation infrastructure.

## Nice-to-haves

- Experience building or scaling experimentation as core infrastructure rather than a secondary analytics capability.
- Experience winning competitive evaluations where a sophisticated data-science organization was the deciding voice.
- Experience shipping warehouse-native data products and operating experiments directly against customer data infrastructure.
- Belief that experimentation provides the evidence layer for proving changes built by people or AI agents work.

## Compensation and Benefits

- Target pay ranges for Level M5, inclusive of a 20% bonus:
  - Zone 1: $301,000–$414,000
  - Zone 2: $271,000–$373,000
  - Zone 3: $256,000–$352,000
- Compensation varies based on skills, experience, and location.
- Benefits include restricted stock units, health, vision, dental, and mental health benefits.

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