Revenue Operations

Location: Remote

U.S. base salary: $175,000–$300,000 per year, plus equity and benefits.

Company

hirify.global develops AI-powered infrastructure software that autonomously diagnoses, fixes, and prevents incidents in complex enterprise production environments.

What you will do

• Administer and improve Salesforce objects, automation, validation rules, data quality, integrations, reports, and dashboards.
• Build pipeline, forecast, capacity, compensation, and performance models for sales leadership and executive reporting.
• Analyze funnel, regional pipeline, win/loss, rep productivity, and efficiency data to produce actionable recommendations.
• Design GTM processes, swim lanes, territory plans, account segmentation, coverage models, and capacity plans.
• Support sales compensation plans, quotas, commissions, SPIFFs, and data-backed resolution of compensation questions.
• Use AI tools to automate recurring analysis, reporting, documentation, and solution prototyping.

Requirements

• 7+ years of experience in Revenue Operations, Sales Operations, Business Operations, or a related analytical role.
• Deep hands-on Salesforce expertise, including administration, automation, reporting, and troubleshooting.
• Strong analytical and financial modeling skills, including forecasting, capacity planning, or compensation modeling.
• Ability to independently solve ambiguous, cross-functional problems and communicate recommendations to senior leadership.
• Experience with a modern GTM stack such as Salesforce, Clay, Clari, Gong, or Apollo.

Nice to have

• Experience in an early-stage or high-growth B2B SaaS startup.
• Exposure to enterprise or strategic sales motions and long-cycle, multi-stakeholder deals.
• Experience designing structured experiments for new segments, channels, acquisition, or expansion motions.

Culture & Benefits

• High-ownership environment focused on hard, meaningful infrastructure problems.
• Competitive compensation and startup equity.
• Health insurance, fertility benefits, and flexible time off.
• Technology setup stipend, team events, annual company offsite, and in-office snacks.
• Opportunities to work closely with experienced AI researchers, technical staff, and operators.