Principal Product Manager - Pricing Strategy & Revenue Optimization

Key Responsibilities:

- Architect and execute the long-term product strategy for pricing and revenue optimization, aligning technical capabilities with overarching business objectives to maximize profitability.

- Lead cross-functional collaboration with data scientists and engineers to build and deploy advanced forecasting models and automated pricing algorithms that respond to real-time market shifts.

- Conduct rigorous pricing analysis and competitive benchmarking to identify revenue leakage and uncover new monetization opportunities across diverse customer segments.

- Translate complex statistical findings into clear, strategic recommendations for senior stakeholders, ensuring data-driven decision-making across the organization.

- Oversee the end-to-end lifecycle of pricing products, from initial hypothesis testing and A/B experimentation to full-scale implementation and performance monitoring.

- Partner with finance and sales operations to refine revenue planning processes, ensuring that pricing strategies are effectively integrated into the broader commercial ecosystem.

Required Skillset:

- Demonstrated expertise in designing and scaling pricing strategies and revenue management systems within high-growth, data-intensive environments.

- Exceptional proficiency in data analytics and statistical modeling, with the ability to derive actionable business intelligence from large, unstructured datasets.

- Strong leadership presence with the ability to influence cross-functional stakeholders and communicate complex technical concepts to non-technical executive audiences.

- Advanced analytical mindset, evidenced by a track record of using forecasting and predictive modeling to solve complex business problems.

- Proven ability to thrive in a fast-paced, hybrid work environment in Gurugram, managing multiple high-priority initiatives with minimal oversight.

- A Masters degree or equivalent advanced qualification in Business, Economics, Engineering, or a quantitative field is highly preferred.

- 12 - 15 years of professional experience in product management, pricing strategy, or revenue operations, with a focus on building scalable, data-driven products.