7-10 years of growth infrastructure and enablement platforms in SaaS environments. Experience launching experimentation frameworks, analytics systems, and data infrastructure at scale. Deep technical understanding of growth tech stacks including customer data platforms (Segment, mParticle), product analytics (Amplitude, Mixpanel), experimentation platforms (LaunchDarkly, Optimizely), and PQL/scoring systems (Pocus, Correlated). Strong technical background with ability to understand and discuss data architecture, API integrations, event schemas, and tradeoffs in instrumentation approaches. Experience launching shared growth infrastructure and tooling that serves multiple products and teams. Proven track record of building data foundations that enable experimentation, personalization, and automated lifecycle interventions. Collaborative approach with engineering, data science, and product teams. Strategic vision to articulate how infrastructure investments unlock growth capabilities. Clear communication with technical and non-technical teams. Business acumen with comfort prioritizing customer needs in the context of business objectives. Strong analytical skills and data-driven problem-solving. Deep empathy for users and commitment to enhancing their journey. Proactive in identifying and addressing security needs. Ability to thrive in a fast-paced environment and pivot when needed. Excitement for bringing creative ideas to life and driving technical innovation. Bachelor's degree in a directly related field, or equivalent practical experience. Demonstrated experience leveraging AI tools and technologies.