Senior Product Pricing Manager

Accountabilities:: Analyze deal, pipeline, renewal, and product usage data to identify commercial opportunities, risks, and pricing trends. Develop business cases, financial models, and data-driven recommendations to evaluate strategic initiatives and pricing decisions. Partner with Product, Sales, Finance, Marketing, and Operations teams to design and operationalize commercial initiatives. Drive consistent pricing strategy execution across geographic regions, customer segments, and sales channels. Advise stakeholders on complex and strategic commercial opportunities, balancing customer value with business objectives and profitability. Support the development and execution of product pricing and packaging strategies. Build scalable processes and lead cross-functional programs that improve pricing operations and commercial execution. Explore and integrate AI technologies into daily workflows to enhance analytical capabilities, operational efficiency, and problem-solving. Identify opportunities to develop AI-enabled tools and workflows that advance pricing strategy execution. Requirements: 5–7+ years of experience in pricing analytics within SaaS, enterprise software, or cloud platform environments. Working knowledge of developing business or product strategies, particularly pricing models, in collaboration with Sales and Product Management teams. Strong analytical and quantitative skills, with the ability to interpret complex data, communicate insights clearly, and recommend practical actions. At least 3 years of experience building business processes and leading cross-functional programs. Demonstrated curiosity about AI tools and experience integrating new technologies into daily workflows to improve productivity and problem-solving. Ability to translate pricing and commercial concepts into clear, actionable recommendations for diverse stakeholders. Strong collaboration, communication, ownership, and execution skills, with the ability to work effectively across teams. Strategic mindset and ability to develop scalable solutions that support a growing, global organization. Preferred: Proven ability to use AI technologies and workflows to deliver measurable operational efficiency. Preferred: Experience developing AI-powered tools that improve pricing strategy and execution. Preferred: Degree in Data Science or another quantitative discipline. Benefits: Annual base salary range of $196,000–$245,000 USD , depending on role level, skills, experience, education, training, and location. Additional compensation may include commission, bonuses, or equity, where applicable. Comprehensive health plan options. Paid vacation and sick time. Parental leave options. Retirement savings options. Education reimbursement. In-office perks and additional employee benefits. Remote working option across the United States, with a hybrid option available in Santa Clara, California.