Revenue Ops Lead — AI-Driven Growth & Automation (Hybrid)

Block Renovation; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Hybrid + remote work

Health, dental, and vision insurance

401(k) with match

12 weeks family leave

PTO

Job summary

Block Renovation is seeking a Rev Ops Manager to own the reporting layer of the business and lead high-priority projects across strategy, data, execution, and AI. You will partner across teams to turn insights into actionable outcomes and drive revenue growth, efficiency, and scalable processes.

In this cross-functional role reporting to the COO, you will shape priorities, manage contractor networks, and build analytics that inform leadership decisions while expanding AI-enabled capabilities

Qualifications

• Fluent in SQL and modern data/BI tools.
• Strong analytical and problem solving skills with the ability to turn data into action.
• Hands-on operator who can roll up their sleeves.
• Experience building repeatable analytics workflows and automations.

Responsibilities

• Identify and lead high-priority strategic initiatives that drive revenue and efficiency.
• Own end-to-end leadership and investor reporting, with data integrity and narratives.
• Turn data signals into recurring insights to inform product and GTM decisions.
• Build scalable processes, systems, and workflows with cross-functional teams.
• Leverage AI-native tools to automate repetitive work and create leverage.

Skills

SQL

Data analysis

BI tools

Cross-functional collaboration

Automation

Ambiguity handling

Tools

AI-native tools

Job description

Block Renovation is seeking a Rev Ops Manager to own the reporting layer of the business and lead high-priority projects across strategy, data, execution, and AI. You will partner across teams to turn insights into actionable outcomes and drive revenue growth, efficiency, and scalable processes.

In this cross-functional role reporting to the COO, you will shape priorities, manage contractor networks, and build analytics that inform leadership decisions while expanding AI-enabled capabilities