GTM Engineer

Jobtailor

San Francisco (CA)

On-site

USD 110,000 - 170,000

Full time

6 days ago

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Job summary

Jobtailor seeks a Marketing/RevOps engineer to own the AI-native GTM tech stack from strategy through execution, driving demand generation and productivity gains. You will codify ICP scoring in version-controlled infrastructure and deploy AI for enrichment and routing in outbound workflows.

You will measure cycle-time and cost impact of AI workflows, while handling AEO schema, client-side rendering fixes, and crawlability of proof points.

Qualifications

Marketing/RevOps engineer or technical growth marketer
SQL, APIs, and automation tooling experience; not just HubSpot 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
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, HockeyStack, or RB2B-class tools
Technical SEO/AEO background

Responsibilities

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

Skills

SQL

APIs

Automation Tooling

Technical SEO/AEO

LLM-Based Automation

Demand Generation

Lead-Scoring Systems

Attribution Systems

Data Hygiene

Version Control

Outbound Workflows

Client-Side Rendering

Cycle-Time Measurement

Cost Impact Analysis

Tools

Common Room

HockeyStack

RB2B-Class Tools

Job description

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

Requirements

Marketing/RevOps engineer or technical growth marketer
SQL, APIs, and automation tooling experience; not just HubSpot 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, HockeyStack, or RB2B-class tools
Technical SEO/AEO background

Core Competencies

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.

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