GTM Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Neo

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Neo is an AI-native security company building a control layer for the "agentic" enterprise. Neo’s platform discovers and inventories agentic software (agents, models, extensions, MCP servers) across endpoints, assesses configurations and risks via a continuously updated knowledge base (Neoverse), and enforces granular, real-time policies at the endpoint (allow/hold/block) using a built-in LLM. The product emphasizes visibility, attribution of human and non-human actions, on-device privacy, lightweight deployment (no kernel modules or OS hooks), and enterprise readiness for SecOps teams to prevent agentic threats across apps, identities, and systems.

📋 Description

• 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

• 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

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