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Required Skills and Proficiency: •Experience defining and operationalizing North Star metrics, OKRs, and outcome-driven roadmaps. •Strong understanding of causal inference, DAGs, and Bayesian frameworks for decision-making. •Proficiency in A/B testing, quasi-experimental methods, and Bayesian statistics. •Skilled in data modelling, telemetry integration, and survival/real options analysis for portfolio decisions. •Ability to design and evaluate experimentation cultures that accelerate product velocity. •Hands-on experience with LLMs, natural language processing, and thematic analysis of unstructured data, knowledge of responsible AI practices, ethical feature development, and AI-assisted product workflows. •Familiarity with “PRD as Code” approaches and automation in product specifications. •Knowledge of dual-track agile, discovery practices at scale, and modern operating models for enterprises. •Familiarity with platform vs. feature team trade-offs and organizational transformation patterns. •Experience translating support data, accessibility needs, and localization requirements into product improvements. •Familiarity with GDPR, PCI, and privacy-by-design frameworks for compliant product development. •Ability to develop ethical and economic frameworks for feature decommissioning and sunsetting. •Prior academic research, writing and publishing experience To apply: Share your prior research works, such as Google Scholar or ORCID.