Revenue Transformation Architect

Tech Sales Jobs; Salt Lake City (UT); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Wellbeing Fund

Mental Health benefits

401(k) program

Education & learning stipend

Flexible vacation time

Paid parental leave

Company-wide recharge days

Work from home stipend

Job summary

Gong is seeking a Commercial Revenue Architect to partner with senior leaders and drive revenue transformation using Gong’s AI Operating System. You will architect workflows, accelerate adoption, and realize measurable business impact across the revenue lifecycle.

You will engage executive stakeholders, translate processes into AI-driven outcomes, and lead renewal/expansion efforts. This role emphasizes collaboration, data-driven decision making, and high accountability in a fast-paced

Qualifications

• 1-3+ years in a customer-facing role at a B2B SaaS company.
• Track record owning relationships with senior stakeholders (VP/C-suite).
• Passion for customer-centricity and driving ROI conversations.
• Data-driven mindset with a focus on measurable outcomes.

Responsibilities

• Design and execute revenue transformation strategies with senior GTM leaders.
• Map current processes to AI-driven workflows that increase revenue.
• Lead adoption initiatives and embed Gong into daily team rhythms.
• Quantify business outcomes using data-driven insights to demonstrate ROI.
• Own renewal and expansion strategy with cross-functional collaboration.
• Partner across teams to ensure an exceptional customer experience.

Skills

Customer facing

Stakeholder management

Communication skills

Data-driven mindset

Growth mindset

Coachable

Collaboration

Job description

Gong is seeking a Commercial Revenue Architect to partner with senior leaders and drive revenue transformation using Gong’s AI Operating System. You will architect workflows, accelerate adoption, and realize measurable business impact across the revenue lifecycle.

You will engage executive stakeholders, translate processes into AI-driven outcomes, and lead renewal/expansion efforts. This role emphasizes collaboration, data-driven decision making, and high accountability in a fast-paced