Business Value Manager

Verkada · Enterprise · Arizona, California, Florida, Illinois, Massachusetts, New York, TX · Remote · Sales - Dept

This role is a Business Value Manager at Verkada, a company with an AI-powered physical security platform. The role focuses on the sales motion, bridging technology with financial and operational outcomes. It involves developing value selling frameworks, architecting strategic deals, quantifying the impact of the platform, and creating compelling financial and operational narratives for C-suite executives. The role requires experience in consulting, financial modeling, data analysis, and executive communication, with an understanding of SaaS sales and industry trends like AI/ML acceleration.

What you'd actually do

  1. Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
  2. Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
  3. Coach sales teams on value-selling methodologies, including referencing of relevant customer data, and provide the tooling/content for self-service business justifications.
  4. Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
  5. Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.

Skills

Required

  • management consulting
  • business transformation
  • enterprise software sales
  • building complex financial models
  • navigating financial documents like 10-Ks and earnings transcripts
  • data visualization
  • data manipulation tools
  • Looker
  • advanced Google Sheets
  • Exceptional presentation and communication skills
  • proven ability to influence C-suite decision-makers
  • Deep understanding of SaaS sales motions
  • industry trends
  • Derive meaningful insights from large, complex data sets

Nice to have

  • AI/ML acceleration

What the JD emphasized

  • AI/ML acceleration