GTM Engineer

Neo

. Design, build, and maintain AI-powered workflows and automations across the revenue funnel, including lead scoring and enrichment, intent signal aggregation, personalized outbound, and lifecycle nurture .

Posted 11/1/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining AI-powered workflows and automations, with hands-on experience in coding and integrating AI tools within the marketing and sales ecosystem. Proficient in leveraging LLM APIs and modern marketing stacks to drive demand generation and optimize revenue funnels.

Highest-signal resume keywords

Python ProgrammingJavaScript ProgrammingLLM API IntegrationMarketing Automation ToolsCross-Functional Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Powered WorkflowsAutomation DevelopmentLead ScoringDynamic PersonalizationData Warehouse IntegrationIntent Data ToolsRapid PrototypingTechnical MarketingGrowth EngineeringGTM Engineering

Soft Skills

Excellent CommunicationJudgment in PrototypingCollaboration with Stakeholders

Tools & Technologies

CRM SystemsZapierMakeWorkatoAI Agent Frameworks

Industry Keywords

B2B SaaSRevenue OperationsDemand GenerationGrowth MarketingAI Tools

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Design, build, and maintain AI-powered workflows and automations across the revenue funnel, including lead scoring and enrichment, intent signal aggregation, personalized outbound, and lifecycle nurture
Build custom internal tools, scripts, and lightweight agents using LLM APIs, no-code/low-code platforms, and traditional code
Evaluate, pilot, and integrate emerging AI tools and platforms into the GTM stack
Own integrations across the CRM, marketing automation, data warehouse, enrichment, and intent-provider stack
Partner with Demand Generation, Field Marketing, and Sales to identify automation and AI opportunities
Build and maintain AI-assisted content and campaign workflows, including dynamic personalization, automated outbound research, and AI-assisted creative variants
Prototype quickly, measure impact, and scale or discontinue experiments based on results
Maintain documentation and internal enablement for marketing and sales teammates
Monitor reliability, cost, and performance of AI-powered production systems
Stay current on AI tooling, models, agent frameworks, and GTM-specific AI products

Requirements

What you’ll need

3+ years of experience in a technical marketing, growth engineering, marketing operations, or GTM engineering role, ideally at a B2B SaaS or AI company
Hands-on coding ability (e.g., Python, JavaScript) sufficient to build scripts, automations, and lightweight tools/integrations independently
Practical experience building with LLM APIs (e.g., OpenAI, Anthropic) and/or AI agent frameworks, beyond just using off-the-shelf AI features
Strong working knowledge of the modern marketing/RevOps stack (CRM, marketing automation, data warehouse, enrichment and intent data tools) and how to integrate them via APIs or iPaaS tools (e.g., Zapier, Make, Workato)
A demand generation or growth marketing mindset — comfortable thinking in terms of pipeline, conversion, and funnel metrics, not just tooling for its own sake
Strong bias toward rapid prototyping and iteration, with good judgment about when to build versus buy versus stop
Excellent cross-functional communication skills, able to translate technical builds into business impact for marketing and sales stakeholders
Genuine enthusiasm for staying current on cutting-edge AI tools, techniques, and platforms
Based in the United States, able to work remotely across U.S. time zones