Cost & Revenue Analyst — Unit Economics & Margin Growth

Vapi; San Francisco (CA); On-site; USD 165,000 - 185,000; Full time

Benefits offered by this job

Competitive salary

Equity ownership

Comprehensive health coverage

Quarterly off sites

Flexible time off

L&D budget $10k/year

Catered meals, transportation, gym

Job summary

Vapi is seeking an FP&A professional to own cost-of-revenue analysis end to end for our usage-based infrastructure. You will dissect COGS, gross margin, and unit economics across cloud, inference, and telephony costs to build actionable insights.

Within 90 days you will develop cost-per-minute and cost-per-call models, partner with Engineering on cost optimization, and forecast COGS in the operating plan to inform leadership decisions.

Qualifications

• 4–8 years in FP&A or cost/financial analysis.
• Comfort with unit economics and analyzing cloud/infrastructure costs.
• Strong Excel and financial modeling skills.
• High attention to detail and cross-functional collaboration.
• Experience at an infrastructure-heavy or usage-based company a nice to have.
• Familiarity with cloud cost tooling and data/BI tools a nice to have.

Responsibilities

• Analyze COGS, cost of revenue, and gross margin across cloud, inference and telephony costs.
• Build cost-per-minute and cost-per-call models linked to revenue activity.
• Collaborate with Engineering on infrastructure cost optimization.
• Forecast COGS in the operating plan for future cost projections.
• Support gross margin reporting and variance analysis for leadership.

Skills

FP&A / cost analysis

Excel / financial modeling

Unit economics

Cross-functional collaboration

Attention to detail

Tools

BI tools

Cloud cost tooling

Job description

Vapi is seeking an FP&A professional to own cost-of-revenue analysis end to end for our usage-based infrastructure. You will dissect COGS, gross margin, and unit economics across cloud, inference, and telephony costs to build actionable insights.

Within 90 days you will develop cost-per-minute and cost-per-call models, partner with Engineering on cost optimization, and forecast COGS in the operating plan to inform leadership decisions.