GTM Engineer

Key Responsibilities: - Evaluate and implement emerging AI tools to drive measurable GTM efficiency and effectiveness - Automate pre- and post-event workflows for marketing campaigns, lead capture, and content distribution - Enable intuitive knowledge discovery with intelligent, searchable internal systems for Sales and Customer Success teams - Orchestrate ABM campaigns across channels with dynamic personalization and closed-loop measurement - Enhance revenue forecasting with AI-assisted frameworks, automated performance tracking, and predictive analytics - Develop educational lead magnets, calculators, interactive tools, and other content to engage targeted micro-segments - Automate QBR decks, competitive briefs, and reporting from product usage, revenue, and account health signals - Generate AI-driven sales decks tailored to buyer role, industry, and deal stage, eliminating one-size-fits-all materials - Launch AI-driven re-engagement campaigns to revive closed-lost opportunities Qualifications: - 5+ years in GTM, RevOps, Sales, Marketing, Customer Success, consulting, or a high-growth SaaS environment - Self-starter who can own projects end-to-end in a distributed, remote-first environment - Hands-on experience leveraging AI/LLMs (e.g., ChatGPT, Claude, Gemini, Perplexity) to automate workflows, generate content, analyze data, or improve operational efficiency - Strong prompt-writing and iteration skills, able to refine AI output for clarity, accuracy, and business relevance - Analytical thinker who can translate business challenges into structured AI workflows and measurable outcomes - Comfortable with APIs, integrations, and basic SQL/data querying - Bonus points for familiarity with GTM tools (such as Salesforce, HubSpot, Pardot, and Marketo) - Experience supporting technical buyers (Engineering, Security, Legal) or working with technical workflows, DevOps, OSS, or compliance tooling - Clear and concise communicator, able to translate technical concepts into actionable business insights and manage requests from multiple internal stakeholders