GTM Engineer

• Own the AI-native GTM tech stack from strategy through execution, beginning with demand generation and increasing overall productivity
• Codify ICP scoring into documented, version-controlled infrastructure
• Deploy AI for enrichment, scoring, routing, and outbound workflows
• Measure cycle-time and cost impact of AI workflows
• Own AEO technical execution, including schema, client-side rendering fixes, and crawlability of proof points
• Enforce data hygiene, including correcting competitor mis-tagging and establishing a source-of-truth model for customer, opportunity, and lost status
• Build and maintain the systems layer end to end

• Marketing/Rev Ops engineer or technical growth marketer
• SQL, APIs, and automation tooling experience; not just Hub Spot administration
• Experience building opinionated attribution or lead-scoring systems
• Hands-on experience with LLM-based automation
• Judgment to distinguish signal from noise
• Documents and versions work; avoids logic living in one person's head
• Comfortable reading schema and rendering issues as well as campaign reports
• Experience building GTM systems at an early-stage SaaS company
• Familiarity with Common Room, Hockey Stack, or RB2B-class tools
• Technical SEO/AEO background

Demonstrates expertise in managing AI-native go-to-market tech stacks, with a focus on demand generation, data hygiene, and technical execution. Proficient in building and maintaining systems for lead scoring and attribution in early-stage SaaS environments.

• SQL
• APIs
• Automation Tooling
• Technical SEO/AEO
• LLM-Based Automation

• Demand Generation
• Lead-Scoring Systems
• Attribution Systems
• Data Hygiene
• Schema Reading
• Client-Side Rendering
• Cycle-Time Measurement
• Cost Impact Analysis
• Version Control
• Outbound Workflows

• Judgment
• Documentation

• GTM Systems
• SaaS
• Rev Ops
• AI Workflows
• Crawlability

• Common Room
• Hockey Stack
• RB2B-Class Tools