GTM Finance & Analytics Lead

Luxury Presence; United States; On-site; USD 160,000 - 185,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Luxury Presence in the United States is seeking a senior data/finance professional who will drive GTM planning and forecasting across Sales, Marketing, and CS. The role sits at the intersection of data and finance, turning warehouse queries into actionable insights that influence investment decisions.

You will partner with Sales, CS, Marketing, and Revenue Operations to model CAC, LTV, and payback, while maintaining rigorous data integrity and delivering timely analyses to leadership.

Qualifications

• 7+ years spanning both a data/analytics role and a finance/FP&A role
• 2+ years leading GTM or SaaS planning/forecasting
• Hands‑on experience with go-to-market or SaaS metrics (pipeline, bookings, ARR, CAC, LTV, payback)

Responsibilities

• GTM Planning and Reporting: Own the Sales, Marketing, and CS annual and long-term planning across revenue, staffing, and resourcing
• Cross-functional partnership: Align GTM spend and targets with the financial plan with Analytics leadership
• Unit economics and GTM efficiency: Build/models for CAC, LTV, payback, and capacity to guide spend decisions
• Data Analysis: Design analyses, validate data, and answer questions mixing financial and operational data
• Automation and efficiency: Automate recurring GTM reporting to speed decision making

Skills

Go-to-market analytics

SQL

Excel

Financial modeling

Forecasting

SaaS metrics

Stakeholder management

Bachelor's degree in quantitativeField

Education

Bachelor's degree in Finance, Economics, or related field

Job description

Luxury Presence in the United States is seeking a senior data/finance professional who will drive GTM planning and forecasting across Sales, Marketing, and CS. The role sits at the intersection of data and finance, turning warehouse queries into actionable insights that influence investment decisions.

You will partner with Sales, CS, Marketing, and Revenue Operations to model CAC, LTV, and payback, while maintaining rigorous data integrity and delivering timely analyses to leadership.