GTM Engineer

Rozgoo; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Rozgoo seeks an AI-enabled GTM Engineer to modernize revenue operations with AI-powered workflows and automation across Sales, Marketing, and Customer Success. You will build internal AI-driven solutions that improve forecasting accuracy, operational efficiency, and executive visibility.

The role sits at the intersection of Revenue Ops, Data, and Business Systems, partnering with RevOps, Finance, and GTM leadership to scale processes and generate actionable insights that drive faster, better

Qualifications

• 4–7 years in Revenue or GTM systems or data operations roles.
• Strong Salesforce and GTM system architecture experience.
• Experience building workflows, automations, and integrations across business systems.
• Familiarity with APIs, SQL, Python, or workflow orchestration tools.
• Experience using AI tools, LLM platforms, or AI automation frameworks in operational environments.
• Strong analytical and systems-thinking mindset.
• Ability to work across cross-functional teams and translate business needs into AI-enabled solutions.

Responsibilities

• Design and implement AI-powered workflows to automate recurring revenue processes.
• Develop and optimize forecasting, reporting, and executive insights with AI.
• Collaborate with RevOps, Marketing, Finance, and Data teams to scale internal solutions.
• Build and maintain data pipelines, integrations, and AI-enabled tooling.
• Deliver automated GTM reporting and analysis to enable faster decision-making.

Skills

Experience in Revenue Operations

Sales Operations

GTM Systems

Data Operations

APIs/SQL/Python

Workflow orchestration

AI tools & LLM platforms

Analytical mindset

Ability

Job description

About the Role

We are looking for a GTM AI Engineer to help modernize how our revenue organization operates through AI-powered workflows, automation, and business intelligence systems.

This role sits at the intersection of Revenue Operations, Data, and Business Systems. You will design and build internal AI-driven solutions that improve forecasting accuracy, operational efficiency, executive visibility, and go-to-market performance across Sales, Marketing, and Customer Success.

You’ll work closely with RevOps, Finance, and GTM leadership to turn fragmented operational processes into scalable AI-enabled systems that generate insights, automate analysis, and help teams make better decisions faster.

This is an ideal role for someone who enjoys building practical AI applications that directly impact business performance and operational scale.

What You’ll Own

AI Workflow & Automation Development

Design and implement AI-powered workflows that improve operational efficiency and automate recurring business processes across the revenue organization.

Examples may include:

• Weekly forecasting risk analysis
• Executive business review generation
• Pipeline health and inspection workflows
• Revenue performance summaries
• AI-generated operational insights and recommendations
• Automated GTM reporting and analysis

You’ll continuously identify opportunities to reduce manual work and improve decision-making through AI and automation.

Revenue Intelligence & Analytics

Build internal intelligence systems that surface actionable insights for GTM leaders and operational teams.

This includes:

• Forecasting risk signals
• Performance trend analysis
• Pipeline quality monitoring
• Territory and rep performance insights
• Executive-level KPI reporting
• Operational anomaly detection

You’ll help create scalable systems that transform raw GTM data into usable business intelligence.

Cross-Functional Systems Partnership

Partner closely with Revenue Operations, Marketing Operations, Customer Success Operations, Finance, and Data teams to design scalable internal solutions.

You’ll act as both a technical builder and strategic thought partner in modernizing how the business operates through AI.

Internal Tooling & Infrastructure

Build and maintain the underlying workflows, integrations, and systems powering AI-enabled GTM operations.

This may include:

• LLM workflows and prompt systems
• Data pipelines and integrations
• API-based automations
• Internal reporting infrastructure
• Workflow orchestration tools
• AI agents and operational copilots

What Success Looks Like

• Executive reporting and business reviews are largely automated
• Forecasting and pipeline risks are proactively surfaced through AI-driven insights
• Manual operational work is significantly reduced through automation
• GTM leaders have faster, more reliable access to performance insights
• Revenue data is trusted, actionable, and operationalized across teams
• Internal AI systems improve decision quality and execution speedNew GTM initiatives can scale without operational bottlenecks

What You’ll Bring

• 4–7 years of experience in Revenue Operations, Sales Operations, GTM Systems, Data Operations, or technical business operations roles
• Strong experience working with Salesforce and GTM system architecture
• Experience building workflows, automations, and integrations across business systems
• Familiarity with APIs, SQL, Python, or workflow orchestration tools
• Experience using AI tools, LLM platforms, or AI automation frameworks in operational environments
• Strong analytical and systems-thinking mindset
• Ability