GTM Engineer (AI)

TL;DR

GTM Engineer (AI & Marketing Automation): Building and optimizing the technical infrastructure for ABM and growth marketing using AI, CDP, and automation platforms with an accent on real-time audience activation and personalized campaign delivery. Focus on architecting AI-driven workflows, integrating LLMs via APIs, and creating closed-loop data systems to optimize ad spend.

Location: Must be based in Menlo Park, CA

Salary: $96K – $126K

Company

hirify.global is a cloud-based data platform powering the era of the agentic enterprise.

What you will do

• Optimize digital marketing, ABM, and growth processes, including audience segmentation and offline workflows.
• Act as the primary technical partner for Paid Media & ABM teams to develop innovation roadmaps and production-ready AI solutions.
• Integrate AI APIs, MCP Servers, and automation tools to build intelligent agents for marketing motions.
• Design and maintain Workato recipes for lead routing, audience activation, and campaign operations.
• Build CDP-driven audience pipelines with a focus on match rate optimization and suppression workflows.
• Develop first- and third-party data feedback loops connecting ad platform data with down-funnel pipeline metrics.

Requirements

• 4+ years of experience in Marketing or Revenue Operations within a high-growth SaaS environment.
• Expert-level experience with Workato building recipes, API connectors, and automation workflows.
• Hands-on expertise with advertising platforms such as LinkedIn, Google, Meta, and industry-leading DSPs.
• Practical experience with AI concepts including LLMs, RAG, and prompt engineering.
• Proficiency in Python or JavaScript/TypeScript for automation scripts and API handling.
• Must be based in Menlo Park, CA.

Nice to have

• Proficiency in SQL or BI visualization tools (e.g., Tableau, Looker, Power BI).
• Experience with Clay or similar enrichment tools.
• Familiarity with agent frameworks such as LangChain or CrewAI for multi-step AI workflows.

Culture & Benefits

• Experimental mindset where you can rapidly test emerging AI capabilities.
• Low-ego, collaborative environment in a dynamic and fast-moving corporate culture.
• Opportunity to redefine the future of work through AI-native thinking and innovation.