GTM Engineer, Lattice

• This is an ideal role for someone who enjoys building practical AI applications that directly impact business performance and operational scale
• 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 to translate ambiguous business problems into scalable technical solutions
• Experience partnering cross-functionally with Sales, Marketing, CS, Finance, and Data teams
• Strong communication and stakeholder management skills
• High ownership mentality with the ability to move quickly in ambiguous environments

Desirable

• 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
• 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 speed
• New GTM initiatives can scale without operational bottlenecks
• We are building an AI-enabled organization. In this role, you should:
• Regularly use AI tools to improve speed, quality, and execution
• Leverage AI to automate workflows and generate business insights
• Explore emerging AI capabilities and apply them pragmatically to GTM operations
• Demonstrate strong judgment around where AI creates leverage versus noise
• Help shape how AI is operationalized across the revenue organization