RevOps Pipeline & Forecasting Architect (GTM Cadence)

leanlayer.com; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Lean Layer is seeking an experienced GTM specialist to design and optimize how client revenue engines run, including pipeline management, forecasting, and operating cadences. You’ll work directly with CROs and RevOps teams, building processes, reports, and automation in Salesforce or similar tools, across multiple B2B clients in the United States.

Ideal candidates bring hands-on Sales/Revenue Operations expertise, strong analytical skills, and comfort in challenging old approaches while

Qualifications

• 6+ years of hands-on experience in Sales Operations or Revenue Operations.
• Deep expertise in pipeline management, forecasting, and sales operating cadences.
• Advanced Salesforce experience with flows, reports, dashboards.
• Experience working with CROs and RevOps teams to improve processes.

Responsibilities

• Design and implement sales processes, opportunity stages, and pipeline workflows.
• Configure Salesforce or HubSpot to support opportunity management and data capture.
• Build automated workflows that flag stalled opportunities and data gaps.
• Collaborate with sales leaders to improve pipeline inspection and process adoption.
• Lead client projects from discovery through handover and training.

Skills

Sales Operations

Revenue Operations

GTM Operations

Pipeline management

Forecasting

Salesforce

HubSpot

Excel

Google Sheets

Tools

Salesforce

HubSpot

Excel

Google Sheets

Job description

Lean Layer is seeking an experienced GTM specialist to design and optimize how client revenue engines run, including pipeline management, forecasting, and operating cadences. You’ll work directly with CROs and RevOps teams, building processes, reports, and automation in Salesforce or similar tools, across multiple B2B clients in the United States.

Ideal candidates bring hands-on Sales/Revenue Operations expertise, strong analytical skills, and comfort in challenging old approaches while