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Zenity

GTM AI Engineer

Zenity

. Own AI projects end to end, from identifying a problem through production deployment and daily adoption .

Posted 9/16/2026full-timeRemote • New York • United StatesMid-LevelSenior💰 $150,000 - $190,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying AI-powered applications, integrating them into cloud infrastructure, and translating complex internal processes into actionable specifications. Strong analytical skills and a builder mindset are essential for driving automation and AI workflow opportunities across teams.

Highest-signal resume keywords
AI Application DevelopmentCloud Infrastructure DeploymentStakeholder ManagementUser Requirement GatheringData Structuring for AI Systems

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI-Powered ApplicationsAutomation WorkflowsData AnalysisProcess DefinitionProject Management
Soft Skills
MotivationOwnershipCustomer FocusAdaptabilityAnalytical Thinking
Tools & Technologies
WorkatoHubSpotZapierClaude CodeVercelAWS
Industry Keywords
GTM StrategyInternal Process SpecificationAutomation OpportunitiesComplex Initiative ManagementPerformance Tracking

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • Own AI projects end to end, from identifying a problem through production deployment and daily adoption
  • 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
  • Prioritize a pipeline of AI projects with the hiring manager and GTM leadership
  • Recommend what to build next and explain the rationale
  • Connect teams, keep complex initiatives on track, and ensure execution matches intent

Requirements

What you’ll need
  • 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
  • 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 comfort using data to track performance and inform decisions
  • Motivation, ownership, long-term thinking, and customer focus
  • Ability to move quickly while maintaining high standards and working comfortably with ambiguity
  • Builder mindset and demonstrated ability to ship useful, adopted solutions

Benefits

Comp & perks
  • Equity eligibility
  • Performance-based incentives
  • Transparent, conversational interview process