Revenue Ops Manager (Product Pricing & Analytics)

As a part of the Darwinbox team, you will be contributing to Asia's fastest-growing HR technology platform that is reshaping the future of work with a strong emphasis on improving employee experience and ensuring customer success through continuous innovation. With over 900 global enterprises relying on us to manage their 2.5 million+ employees in 116+ countries, we are at the forefront of the industry. Darwinbox's cutting-edge HCM suite competes with both local and global players in the enterprise technology sector, positioning us alongside industry giants like SAP, Oracle, and Workday. Our clientele includes a diverse range of companies from large conglomerates to unicorn startups, such as Nivea, Starbucks, DLF, Crisil, CRED, Vedanta, and many more, showcasing our wide-ranging impact. Backed by renowned global investors like Microsoft, Salesforce, Sequoia Capital, and Lightspeed Venture Partners, our vision of establishing a world-class product company originating from Asia is supported by a strong foundation. In this role, you will be responsible for various key areas, including Product Analytics, where you will develop and manage dashboards to monitor product adoption, retention, and usage across different modules. Additionally, you will lead cohort, funnel, and churn analyses to provide valuable insights to the Product and Customer Success teams. Collaborating with Product and Engineering, you will ensure accurate event instrumentation and data integrity. Your role will also involve focusing on Pricing & Monetization strategies, where you will design and refine pricing strategies such as tiered, usage-based, and modular SKUs. Conducting competitor pricing benchmarking and pricing elasticity studies will be essential, along with creating pricing frameworks for new product launches, including initiatives related to AI monetization. Furthermore, the role includes SKU-Level Analytics tasks, where you will monitor SKU-level performance metrics like revenue, margin, churn, and upsell. You will be required to recommend SKU bundling, discounting frameworks, and cross-sell strategies to drive impactful insights that influence packaging decisions and roadmap prioritization. To excel in this role, we are seeking individuals with an MBA Degree and a minimum of 5 years of experience in SaaS pricing, product analytics, business strategy, or consulting. Proficiency in Advanced SQL and Excel is crucial, along with experience in tools like Power BI, Tableau, or Looker. Strong business acumen and the ability to collaborate effectively across different functions are essential, and prior experience in a high-growth SaaS or B2B product company would be advantageous.,