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 speed
New 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 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
Preferred Qualifications
Experience building internal AI tools or AI-assisted workflows
Familiarity with modern AI tooling ecosystems (OpenAI, Claude, LangChain, vector databases, agent frameworks, etc.)
Experience with BI and analytics tools such as Looker, Tableau, Hex, or Sigma
Familiarity with GTM tools such as Salesforce, Gong, Outreach, Marketo, or similar platforms
Experience in high-growth SaaS environments
Experience operationalizing AI within business functions
AI Fluency
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
____
The estimated hourly cash salary for this role is $68.00- $75.00.
*Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.
Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.
#LI-Re
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 speed
New 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 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
Preferred Qualifications
Experience building internal AI tools or AI-assisted workflows
Familiarity with modern AI tooling ecosystems (OpenAI, Claude, LangChain, vector databases, agent frameworks, etc.)
Experience with BI and analytics tools such as Looker, Tableau, Hex, or Sigma
Familiarity with GTM tools such as Salesforce, Gong, Outreach, Marketo, or similar platforms
Experience in high-growth SaaS environments
Experience operationalizing AI within business functions
AI Fluency
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
____
The estimated hourly cash salary for this role is $68.00- $75.00.
*Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.
Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.
