TL;DR

Revenue Systems Lead, Data Infrastructure (AI): Driving the evolution and scaling of %hirify_global%'s billing infrastructure and monetization platform with an accent on defining scalable data workflows for pricing, billing, and revenue recognition. Focus on shaping system architecture, developing AI-powered financial automation, and ensuring financial integrity and compliance under rapid growth.

Location: This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees to San Francisco, CA.

Salary: $295,000 + equity

Company

%hirify_global% is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

Lead alignment of Finance, Product, and Data Engineering teams on revenue data vision and automation.
Automate revenue transactions and financial processes, connecting internal engineering systems to ERP.
Define and support scalable, audit-proof reporting and controls for financial compliance.
Partner with Engineering to develop AI-powered workflows for financial accuracy and efficiency.
Define revenue requirements for data marts, dashboards, and analysis tools.
Define and enforce best practices for data infrastructure, lineage, observability, and reconciliation.

Requirements

12+ years of experience in streamlining and automating Revenue Systems, Billing Infrastructure, Revenue Accounting, and Financial Data Modeling in high-growth or public-company environments.
Proven track record leading cross-functional system implementations with Finance, Engineering, and Product teams.
Exceptional communication skills with the ability to drive alignment and influence decisions.
Expertise in financial processes (close, allocations, revenue recognition) and defining critical data elements.
Expertise in data infrastructure design, data governance, controls, SQL, and financial system reliability.
Excitement to work at the intersection of finance, data, systems, and emerging technologies.

Culture & Benefits

Work on general-purpose artificial intelligence that benefits all humanity.
Hybrid work model with 3 days in the office per week in San Francisco.
Relocation assistance offered for new employees.
Competitive compensation package including equity.
Commitment to diversity, equal opportunity, and reasonable accommodations.
Opportunity to shape the future of technology in a fast-paced environment.