Revenue Operations Leader & GTM Strategy Architect

Contentstack; United States; Remote; USD 155,000 - 195,000; Full time

Benefits offered by this job

Interesting Work

Tribe Culture

Prestigious client brands

Job summary

Contentstack is a growth-stage enterprise SaaS company seeking a senior leader for Revenue Operations and GTM strategy. You will collaborate with CRO, Finance, and GTM leaders to translate business objectives into actionable plans, forecast rigorously, and drive data-driven decisions across the organization.

The role emphasizes building scalable processes, defining cross-functional KPIs, and deploying AI-enabled workflows to enhance analytical capacity and decision-making.

Qualifications

• 8–15+ years of experience in Revenue Operations, Sales Strategy, GTM Finance, or a similarly analytical role within a B2B SaaS organization.
• Direct ownership of annual GTM planning across capacity, territories, quotas, and compensation design.

Responsibilities

• Lead GTM planning: own annual planning across capacity, territories, quotas, and incentive-plan design.
• Drive performance management: establish a rigorous forecasting approach and evaluate performance across pipeline, bookings, retention and expansion.
• Turn insights into action: translate performance trends into clear recommendations for leadership.
• Establish measurement and governance: define KPIs across Finance, Sales, Marketing and Customer Success.
• Improve cross-functional alignment: identify gaps in reporting and standards and drive resolution.
• Leverage AI and automation: build agent-enabled workflows to streamline recurring analysis.

Skills

Revenue Operations

GTM Strategy

Forecasting

SaaS Metrics

AI/Automation

Job description

Contentstack is a growth-stage enterprise SaaS company seeking a senior leader for Revenue Operations and GTM strategy. You will collaborate with CRO, Finance, and GTM leaders to translate business objectives into actionable plans, forecast rigorously, and drive data-driven decisions across the organization.

The role emphasizes building scalable processes, defining cross-functional KPIs, and deploying AI-enabled workflows to enhance analytical capacity and decision-making.