Senior GTM Engineer (Inbound)
SentinelOne
New-York, United States Posted September 26, 2026
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Salary Range
$132,000 - $182,000
Job Description
Join our team as a Senior GTM Engineer (Inbound) and take charge of optimizing lead response times, building AI agents, personalizing conversion paths, and owning the lead lifecycle stack. You will also automate content and SEO operations, measure quality, implement guardrails, and coach and document processes. This role offers a range of benefits, including medical, dental, and vision coverage, unlimited time off, and a 401K plan.
- Accélérer la réponse aux leads entrants en construisant des automatisations qui les acheminent, les notent et y répondent en quelques minutes.
- Concevoir et déployer des agents d'IA pour travailler en continu en haut de l'entonnoir de conversion.
- Intégrer la personnalisation du site Web, les formulaires dynamiques et les recommandations de contenu en fonction de l'intention du visiteur.
- Fluency with the modern GTM stack and how data moves through it (CRM, marketing automation, enrichment, outreach, analytics), and comfort owning integrations and pipelines between them
- Strong prompt architecture skills and practical experience with agent frameworks, orchestration platforms (e.g., n8n, Make), and API/MCP integrations
- A builder's instinct paired with GTM judgment: you understand funnels, ICP, and buying signals, and you decide what is worth automating based on revenue impact, not novelty
- 6 or more years across growth/GTM marketing, marketing/revenue operations, systems, or solutions engineering, including hands-on time building automation or AI into real GTM work
- Demonstrated experience designing, building, and deploying AI agents and agentic workflows that changed real work, not just using AI tools but building with them
- Working proficiency in at least one of SQL, Python, or JavaScript, enough to build lightweight tools, integrations, and workflows
- A B2B and enterprise SaaS background, with familiarity with brand-safety and compliance constraints on automated outputs
- Comfort coaching non-technical teammates through AI adoption and anticipating resistance without relying on positional authority
- Experience building evaluation frameworks for AI systems (prompt evals, benchmarking, regression testing)
- Practical experience fine-tuning or heavily customizing models for production use cases
Required Skills
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