GTM Engineer

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.

#LI-Remote