Intuit needs to define and lead the strategy for building and driving adoption of an experimentation platform that enables data-driven decision-making across the entire company, identifying customer and business pain points, exploring solutions powered by automation, AI, agentic AI, and advanced experimentation platforms, and creating delightful customer experiences while driving measurable outcomes.
Requirements
- Strong expertise in statistical experimentation methods, concepts and types (A/B testing, MVT, MAB).
- Proven success in defining and executing strategies for internal or customer-facing experimentation platforms and/or techniques.
- Expertise in building tools and platforms for both highly technical teams (e.g., data scientists) and non-technical users.
- Experience with experimentation platforms like Optimizely, Statsig, or Dynamic Yield is a plus.
- Deep knowledge of designing, implementing, scaling, and analyzing experimentation platforms.
- Ability to engage in high-level technical discussions related to experimentation frameworks, data reliability, and statistical rigor.
- 5+ years of direct experience with data products, developer tools, or experimentation platforms in a product, growth, or analytical/data science role
Responsibilities
- Define and communicate the long-term product vision and strategy for Intuit’s experimentation platform, aligning initiatives with company objectives.
- Build relationships with key stakeholders to define requirements and best practices for experimentation, hypothesis generation, test design, and decision-making.
- Partner closely with data scientists, engineers, and platform teams to deliver user experimentation tools that are seamless, scalable, and statistically rigorous.
- Explore and adopt emerging technologies, frameworks, and methodologies to leapfrog current capabilities.
- Develop and direct strategies to ensure tools and platforms are user-friendly, insightful, and support both technical and non-technical users.
- Evangelize platforms internally, driving a culture of experimentation and metrics-based decision-making throughout Intuit.
- Deep knowledge of designing, implementing, scaling, and analyzing experimentation platforms.
Other
- 10+ years of product management experience, with 3+ in a Principal or leadership role.
- 3+ years hands-on experience as an experimentation analyst, working on experimentation design, setup, and analysis.
- Exceptional communication and storytelling skills.
- Ability to influence technical and non-technical stakeholders at all levels of the organization.
- Proven ability to thrive in ambiguity and drive strategic clarity.
