Uncover growth & monetization opportunities by applying evidence-based thinking across quantitative data, competitive intelligence, and qualitative insights.
Evaluate product experiences to identify friction points and adoption opportunities, guided by product instincts and customer empathy.
Conduct quantitative analyses to surface key insights and answer critical business questions.
Partner closely with product, design, research, marketing, and executive leadership to refine pricing strategies, improve product experiences, and plan product launches.
Conduct competitive analysis to track market trends and stay ahead of industry shifts.
Monitor AI unit costs and SaaS financial metrics of key product offerings.
Run customer research through surveys, user interviews, and A/B tests to inform pricing hypotheses.
Requirements
Proven experience helping a SaaS company grow or monetize its product through a mix of pricing strategy, growth experimentation, and customer-driven insights.
Strong first-principles thinking, with ability to question assumptions and form logic-driven hypotheses
Strong proficiency in analyzing large amounts of data using SQL, Python, R, VBA, or similar.
Experienced in transforming raw data into meaningful insights through storytelling, benchmarking, and multi-dimensional analysis.
Exceptional communication and cross-functional collaboration skills
Proficient in qualitative research, applying surveys and user interviews to gather insights
Relentless ownership, with a mindset of accountability and proactive problem-solving
Obsessed with greatness, demonstrated through continuous improvement, mastery of craft, and setting the highest standards.
Highly effective, turning strategy into results by simplifying complexity and driving meaningful outcomes.