Senior Associate - Revenue Strategy

Responsibilities

• Work cross-functionally with go-to-market teams including Sales, Relationship Management, Partnerships and Marketing to identify and solve sticky challenges
• Own high-impact initiatives for months, quarters or possibly years, defining problem statements, developing and driving alignment around solutions, overseeing implementation and measuring impact
• Leverage data to identify the biggest opportunities and drive decision-making—including building dashboards and reports that give GTM stakeholders clear visibility into performance, pipeline, and customer behavior
• Translate ambiguous business questions into well-structured analyses, partnering with data and analytics teams to surface insights that stakeholders can act on
• Get creative, building solutions that leverage AI and other emerging technologies to accelerate workflows, automate manual processes, and unlock new capabilities
• Work across Mercury’s data environment (Snowflake, Salesforce, Omni, and other platforms) to connect disparate data sources and surface a complete picture of customer and prospect behavior
• Build relationships across a wide range of stakeholders and deliver impact through collaboration and consensus

Requirements

• Prior experience leading strategic projects or programs, such as in consulting, Business Operations, Sales or Revenue Operations, Program Manager, or other applicable roles
• Demonstrate a strong sense of ownership and can approach new problems with curiosity and first-principles thinking
• Exceptional stakeholder management skills, with the ability to effectively communicate, build consensus and influence across teams and senior-level stakeholders
• Strong data fluency—you’re comfortable pulling your own data and navigating across sources to connect the dots yourself
• Experience building and maintaining dashboards and reports in tools like Omni, Looker, Tableau, or Salesforce
• A genuine enthusiasm for AI and emerging technology—you actively seek out ways to integrate AI into your work, have experimented with tools like LLMs, copilots, or automation platforms
• Demonstrated ability to bring structure and simplicity to a variety of complex and ambiguous business problems
• Ability to work independently to identify issues and proactively propose, build and implement the solutions
• Comfort working in an ambiguous, fast-paced environment
• Excellent oral and written communication skills, and time management and prioritization skills

Compensation

• US employees in the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $131,500 - $148,000 base salary
• US employees outside of the New York City, Los Angeles, Seattle, or San Francisco Bay Area: $118,400 - $133,200 base salary
• Canadian employees (any location): 124,300 - 139,000 CAD