Staff Business Operations Manager (Demand Generation Analytics)

Location: Mountain View, California, United States

Base salary: $166,500–$225,500 per year, plus potential cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform serving customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Analyze the end-to-end B2B demand generation funnel, from lead creation through routing, acceptance, and downstream outcomes.
• Identify funnel leakage, drop-offs, process inefficiencies, and their business impact.
• Investigate lead routing and disposition to ensure accurate assignment, tracking, and follow-through.
• Build and maintain reporting and dashboards covering funnel health, conversion, velocity, and lead outcomes.
• Partner with B2B Marketing, Marketing Operations, Sales Operations, and Sales to diagnose issues and recommend corrective actions.
• Measure campaigns, routing logic changes, and process improvements while communicating actionable findings to decision-makers.

Requirements

• Bachelor’s degree in Analytics, Business, Economics, Marketing, or a related field, or equivalent experience.
• 3+ years of experience in marketing analytics, demand generation analytics, revenue operations, or a related analytical role.
• Strong understanding of B2B demand generation funnels, lead lifecycle management, and sales handoff processes.
• Advanced proficiency with data analysis and reporting tools such as SQL, Excel, Looker, Tableau, or Power BI.
• Experience with CRM and marketing automation platforms such as Salesforce, Marketo, HubSpot, or Eloqua.
• Ability to investigate ambiguous problems, trace issues across systems, identify root causes, and communicate insights to technical and non-technical stakeholders.

Culture & Benefits

• Competitive compensation with a pay-for-performance rewards approach.
• Potential eligibility for cash bonus, equity rewards, and employee benefits.
• Regular compensation comparisons across ethnicity and gender categories to support fair pay.