Senior Director, Compensation

SnowflakeMenlo Park, CA

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a strategic, hands-on Senior Director of Compensation to lead and evolve our global compensation programs in a high-growth, fast-paced technology environment. This leader will play a critical role in shaping how we attract, retain, and motivate top talent in a highly competitive market. You will partner closely with senior executives, Finance, and People leaders to design scalable, data-driven compensation programs that support rapid growth, organizational change, and business performance. This role requires a balance of strategic vision and operational excellence, with the ability to move quickly and adapt in an evolving environment.

Requirements

  • 12+ years of compensation experience, with significant time in high-growth tech or software companies
  • Proven experience building and scaling compensation programs in fast-moving, ambiguous environments (e.g., pre-IPO, post-IPO growth, or rapid scaling phases)
  • Deep expertise in equity design and usage as a key lever for attraction and retention in tech
  • Strong executive presence and experience advising senior leaders and compensation committees
  • Ability to operate both strategically and tactically—comfortable rolling up sleeves while setting long-term direction
  • Strong analytical mindset with experience using data, modeling, and visualization tools to drive decisions
  • Track record of influencing cross-functional stakeholders in a dynamic, high-change environment
  • Knowledge of U.S. and global compensation practices, including pay transparency and equity regulations
  • Bachelor’s degree required

Nice To Haves

  • CCP or advanced degree a plus

Responsibilities

  • Define and drive a forward-looking global compensation strategy aligned to business growth, talent priorities, and market competitiveness in the tech sector
  • Design and scale compensation programs, including base salary, annual incentives, and equity, with a strong focus on supporting a dynamic, high-growth workforce
  • Partner with executive leadership and the VP, Total Rewards on executive compensation strategy, including board and compensation committee engagement
  • Lead, coach, and scale a high-performing compensation team capable of operating in a fast-changing environment
  • Lead job architecture, leveling, and career frameworks to enable consistency and agility as the organization scales
  • Own and continuously improve annual and off-cycle compensation processes (merit, bonus, equity refresh), ensuring they are efficient, data-driven, and scalable
  • Ensure compliance with evolving pay transparency laws and global compensation regulations
  • Build strong, trusted partnerships with HRBPs, Talent Acquisition, and Finance to support business needs at speed
  • Provide real-time, market-informed guidance on offers, retention, and critical talent decisions in a highly competitive hiring landscape
  • Lead pay equity strategy and analysis, proactively identifying and addressing gaps in a rapidly growing organization
  • Develop dashboards, analytics, and insights to enable faster, better compensation decisions
  • Leverage AI and advanced analytics to enhance compensation decision-making, including market pricing, pay recommendations, and workforce planning
  • Establish clear governance to ensure AI-driven insights are accurate, explainable, and free from bias, while safeguarding sensitive employee data and complying with emerging regulations
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