Kong Inc.
Senior Manager, Monetization Analytics
Kong Inc., San Francisco, California, United States, 94199
Join to apply for the
Senior Manager, Monetization Analytics
role at
Kong Inc.
Base pay range $130,000 - $160,000 per year
What You’ll Do
Build the analytical foundation of pricing: Design, build, and maintain core pricing and monetization dashboards and reporting infrastructure. Define key metrics (price realization, attach rates, discount patterns, usage trends) and establish baseline performance measurement.
Own pricing intelligence: Become the go-to expert for data-driven insights on pricing and monetization. Proactively surface trends, anomalies, and opportunities by diving deep into transactional data, customer behavior, and product usage patterns.
Lead analysis for new pricing initiatives: Drive the quantitative modeling and research for new product introductions, packaging changes, and pricing experiments. Build models that synthesize CRM data, usage metrics, and financial performance to inform pricing decisions.
Optimize existing monetization: Analyze pricing and packaging performance across customer segments and products. Identify where we’re leaving money on the table or creating friction, and recommend specific changes.
Create internal pricing tools: Own and improve the internal pricing calculator used by sales teams. Ensure accuracy, usability, and version control as pricing models evolve.
Partner across teams and functions: Collaborate with sales, finance, revenue operations, and product teams to align monetization strategies with business goals. Translate complex analytical findings into clear, actionable recommendations for senior leadership.
Improve monetization operations: Work with GTM systems teams to strengthen our data practices, reporting accuracy, and pricing process efficiency.
About You
5+ years building and using analytical models in B2B SaaS pricing, revenue operations, FP&A, management consulting, or data analytics.
Expert-level Excel/Google Sheets and SQL proficiency. Pivot tables, INDEX/MATCH, scenario modeling, sensitivity analysis, complex queries, etc.
Experience extracting and analyzing data from CRM and billing systems (Salesforce, Zuora, Stripe, or similar).
Strong communication skills: translate complex data into clear insights for non‑technical stakeholders.
Comfortable working independently in ambiguous environments with incomplete data.
Bachelor's degree in Business, Finance, Economics, Statistics, or related field.
Strongly Preferred
Hands‑on experience with pricing research methods: Van Westendorp, Gabor Granger, conjoint analysis, or price elasticity modeling.
Proficiency in BI tools (Looker, Tableau, Hex, or similar) for dashboard development.
Statistical programming skills (Python or R) for predictive modeling.
Prior involvement in pricing transformation or new product pricing launches.
Experience with CPQ systems (Salesforce CPQ, DealHub, etc.).
Bonus Points
MBA or advanced degree in quantitative field
Exposure to consumption‑based or usage‑based pricing models
Experience in API infrastructure, developer tools, or platform businesses
Why this role is unique You’ll work with ambiguous, imperfect data and need to build assumptions when systems don’t align. You’ll balance strategic recommendations with operational execution. High agency with collaboration is critical; you’ll challenge pricing strategy when data suggests it and take direction from product and sales when needed. If you’re energized by finding signal in noise and translating it into business impact, this role is for you!
About Kong Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become “API‑first” and securely accelerate AI adoption. Kong helps organizations globally — from startups to Fortune 500 enterprises — unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit
www.konghq.com
or follow us on X @thekonginc.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Research, Analyst, and Information Technology
Industries Software Development
#J-18808-Ljbffr
Senior Manager, Monetization Analytics
role at
Kong Inc.
Base pay range $130,000 - $160,000 per year
What You’ll Do
Build the analytical foundation of pricing: Design, build, and maintain core pricing and monetization dashboards and reporting infrastructure. Define key metrics (price realization, attach rates, discount patterns, usage trends) and establish baseline performance measurement.
Own pricing intelligence: Become the go-to expert for data-driven insights on pricing and monetization. Proactively surface trends, anomalies, and opportunities by diving deep into transactional data, customer behavior, and product usage patterns.
Lead analysis for new pricing initiatives: Drive the quantitative modeling and research for new product introductions, packaging changes, and pricing experiments. Build models that synthesize CRM data, usage metrics, and financial performance to inform pricing decisions.
Optimize existing monetization: Analyze pricing and packaging performance across customer segments and products. Identify where we’re leaving money on the table or creating friction, and recommend specific changes.
Create internal pricing tools: Own and improve the internal pricing calculator used by sales teams. Ensure accuracy, usability, and version control as pricing models evolve.
Partner across teams and functions: Collaborate with sales, finance, revenue operations, and product teams to align monetization strategies with business goals. Translate complex analytical findings into clear, actionable recommendations for senior leadership.
Improve monetization operations: Work with GTM systems teams to strengthen our data practices, reporting accuracy, and pricing process efficiency.
About You
5+ years building and using analytical models in B2B SaaS pricing, revenue operations, FP&A, management consulting, or data analytics.
Expert-level Excel/Google Sheets and SQL proficiency. Pivot tables, INDEX/MATCH, scenario modeling, sensitivity analysis, complex queries, etc.
Experience extracting and analyzing data from CRM and billing systems (Salesforce, Zuora, Stripe, or similar).
Strong communication skills: translate complex data into clear insights for non‑technical stakeholders.
Comfortable working independently in ambiguous environments with incomplete data.
Bachelor's degree in Business, Finance, Economics, Statistics, or related field.
Strongly Preferred
Hands‑on experience with pricing research methods: Van Westendorp, Gabor Granger, conjoint analysis, or price elasticity modeling.
Proficiency in BI tools (Looker, Tableau, Hex, or similar) for dashboard development.
Statistical programming skills (Python or R) for predictive modeling.
Prior involvement in pricing transformation or new product pricing launches.
Experience with CPQ systems (Salesforce CPQ, DealHub, etc.).
Bonus Points
MBA or advanced degree in quantitative field
Exposure to consumption‑based or usage‑based pricing models
Experience in API infrastructure, developer tools, or platform businesses
Why this role is unique You’ll work with ambiguous, imperfect data and need to build assumptions when systems don’t align. You’ll balance strategic recommendations with operational execution. High agency with collaboration is critical; you’ll challenge pricing strategy when data suggests it and take direction from product and sales when needed. If you’re energized by finding signal in noise and translating it into business impact, this role is for you!
About Kong Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become “API‑first” and securely accelerate AI adoption. Kong helps organizations globally — from startups to Fortune 500 enterprises — unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit
www.konghq.com
or follow us on X @thekonginc.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Research, Analyst, and Information Technology
Industries Software Development
#J-18808-Ljbffr