Revenue Operations Lead — AI-Driven Forecasting & CRM

Ascend Analytics; Boulder (CO); Hybrid; USD 140,000 - 145,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Parental leave

FSA/HSA

401(k)

Job summary

Ascend Analytics in Boulder, CO seeks a hands-on Manager of Revenue Operations to build and run the commercial infrastructure powering our revenue organization. You will own processes, analytics, forecasting inputs, and cadences across Sales, Marketing, Customer Success, and Finance to operate as a unified revenue team.

You will personally maintain revenue infrastructure, use AI to boost productivity, produce data for decision-making, and drive growth through disciplined operational execution.

Qualifications

• 5+ years of hands-on Revenue Operations or Sales Operations in high-growth B2B SaaS.
• Experience enabling revenue teams through forecasting, analytics and CRM tooling.
• Proven ability to build and scale revenue infrastructure from the ground up.
• Strong communication skills with executive stakeholders.

Responsibilities

• Own Revenue Operations processes supporting Sales, Marketing, CS, and Finance.
• Build scalable processes for recurring software revenue and services.
• Develop territory planning, quota allocation, and capacity planning.
• Lead forecasting for ARR, renewals, services, and pipeline; deliver exec dashboards.
• Own CRM data quality and the tech stack including AI-enabled tools.

Skills

Revenue Operations

Forecasting

Pipeline management

Sales analytics

Executive reporting

Salesforce admin

AI enablement

Tools

Salesforce

Gong

Clari

CPQ

AI tools

Job description

Ascend Analytics in Boulder, CO seeks a hands-on Manager of Revenue Operations to build and run the commercial infrastructure powering our revenue organization. You will own processes, analytics, forecasting inputs, and cadences across Sales, Marketing, Customer Success, and Finance to operate as a unified revenue team.

You will personally maintain revenue infrastructure, use AI to boost productivity, produce data for decision-making, and drive growth through disciplined operational execution.