in Computer Science, Engineering, Math, or a related technical field, or equivalent practical experience. Preferred Skills Experience with leading billing or Q2C platforms (e.g., Zuora, Salesforce CPQ, NetSuite, SAP, Oracle, or large-scale in-house platforms). Familiarity with partner/reseller billing complexity (tiered pricing, discounts, commissions). Experience with usage-based billing and subscription monetization models. Proficiency … with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. More ❯
in Computer Science, Engineering, Math, or a related technical field, or equivalent practical experience. Preferred Skills Experience with leading billing or Q2C platforms (e.g., Zuora, Salesforce CPQ, NetSuite, SAP, Oracle, or large-scale in-house platforms). Familiarity with partner/reseller billing complexity (tiered pricing, discounts, commissions). Experience with usage-based billing and subscription monetization models. Proficiency … with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. More ❯
in Computer Science, Engineering, Math, or a related technical field, or equivalent practical experience. Preferred Skills Experience with leading billing or Q2C platforms (e.g., Zuora, Salesforce CPQ, NetSuite, SAP, Oracle, or large-scale in-house platforms). Familiarity with partner/reseller billing complexity (tiered pricing, discounts, commissions). Experience with usage-based billing and subscription monetization models. Proficiency … with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. More ❯
in Computer Science, Engineering, Math, or a related technical field, or equivalent practical experience. Preferred Skills Experience with leading billing or Q2C platforms (e.g., Zuora, Salesforce CPQ, NetSuite, SAP, Oracle, or large-scale in-house platforms). Familiarity with partner/reseller billing complexity (tiered pricing, discounts, commissions). Experience with usage-based billing and subscription monetization models. Proficiency … with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. More ❯
in Computer Science, Engineering, Math, or a related technical field, or equivalent practical experience. Preferred Skills Experience with leading billing or Q2C platforms (e.g., Zuora, Salesforce CPQ, NetSuite, SAP, Oracle, or large-scale in-house platforms). Familiarity with partner/reseller billing complexity (tiered pricing, discounts, commissions). Experience with usage-based billing and subscription monetization models. Proficiency … with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. More ❯
in Computer Science, Engineering, Math, or a related technical field, or equivalent practical experience. Preferred Skills Experience with leading billing or Q2C platforms (e.g., Zuora, Salesforce CPQ, NetSuite, SAP, Oracle, or large-scale in-house platforms). Familiarity with partner/reseller billing complexity (tiered pricing, discounts, commissions). Experience with usage-based billing and subscription monetization models. Proficiency … with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. More ❯
