Note: The job is a remote job and is open to candidates in USA. Georgia IT, Inc. is seeking an experienced Senior Product Manager with a strong background in experimentation, data-driven product development, and optimization at enterprise scale. This role involves leading experimentation strategy, establishing best practices, and partnering with cross-functional teams to drive measurable business outcomes through rigorous testing and analysis.
Responsibilities
- Define and execute the product experimentation strategy across digital products and platforms
- Design, prioritize, and manage experimentation roadmaps aligned with business objectives
- Lead the planning, execution, and analysis of experiments to validate product hypotheses and optimize user experiences
- Establish and scale experimentation frameworks, governance models, and best practices across product teams
- Perform in-depth analysis of experiment results, identify key insights, and provide data-driven recommendations
- Collaborate closely with Engineering, Data Science, AI/ML, Analytics, UX, and Product teams to implement and evaluate experiments
- Ensure experimentation programs follow sound statistical principles and deliver reliable, actionable outcomes
- Monitor experimentation performance, communicate findings to stakeholders, and influence product strategy through evidence-based decision-making
- Promote a culture of experimentation and continuous improvement across the organization
Skills
- Bachelor's degree in Business, Computer Science, Engineering, Data Science, or a related field (Master's degree preferred)
- 5+ years of experience in Product Management with a strong focus on experimentation, optimization, and data-driven product development
- Hands-on experience with enterprise experimentation platforms such as Adobe Target, Optimizely, Statsig, or similar solutions
- Strong understanding of experimentation methodologies, including: A/B Testing, Multivariate Testing, Holdout Testing, Sequential Testing
- Solid knowledge of statistical concepts, including: Statistical significance, Sample size estimation, Bias and variance analysis, Experiment design and interpretation
- Proven ability to analyze experimental data and translate findings into strategic business recommendations
- Experience developing and scaling experimentation frameworks, governance processes, and operational best practices
- Strong analytical, problem-solving, and decision-making skills
- Excellent communication and stakeholder management abilities
- Experience working in Agile product development environments
- Experience working in large-scale technology, digital product, user-facing platforms
- Background in high-growth technology organizations or large enterprise retail/eCommerce environments
- Experience partnering with AI/ML, Data Science, and Analytics teams to deliver data-informed product innovations
- Familiarity with modern product analytics and experimentation ecosystems
Company Overview