GTM AI Engineer

🕒 September 16

🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 30%

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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Zenity

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $16.5M Series A on 2023-09

Consulting • Healthcare • Logistics

Zenity is a company that focuses on securing AI Agents and applications throughout their lifecycle, from buildtime to runtime. The company provides a SaaS platform that offers application security controls and AI Security Posture Management to mitigate risks and threats like indirect prompt injection and data leakage. Zenity helps enterprises manage and secure over 80,000 AI agents and automations, ensuring compliance and continuity in business operations. Their platform is used by large enterprises across various industries, including technology, healthcare, and finance, to support secure low-code/no-code development and governance.

📋 Description

• Own AI projects end to end, from identifying a problem through production deployment and daily use • Work across GTM, operations, product, and strategy to identify automation and AI workflow opportunities • Translate undocumented internal processes into scoped specifications and working systems • Gather requirements directly from employees performing the work • Define new processes and tools for emerging business needs • Deploy AI applications using cloud infrastructure and integrate them into the GTM stack • Collaborate with the hiring manager and GTM leadership to prioritize AI projects • Recommend what to build next and explain the rationale • Connect teams, keep complex initiatives on track, and ensure execution matches intent

🎯 Requirements

• Experience building and deploying AI-powered applications or workflows in a real environment, beyond a demo • Hands-on experience with tools such as Workato, HubSpot, Zapier, Claude Code, Vercel, AWS, or similar • Experience leading internal projects with multiple stakeholders • Experience handling competing priorities or shifting requirements mid-project • Experience conducting user interviews or gathering requirements directly from end users • Ability to structure data and context for AI systems so outputs are consistent and reliable in production • Strong analytical skills and ability to use data to track performance and inform decisions • High motivation, ownership, and comfort with ambiguity • Ability to move quickly while maintaining a high standard of work • Builder mindset with a record of shipping useful, adopted solutions

🏖️ Benefits

• Equity may be available • Performance-based incentives may be available

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