GTM Engineer

Opal

GTM Engineer building AI-native marketing and revenue systems for Opal Security's access platform. Owning automation, scoring, attribution, AEO, and data hygiene end to end.

Posted 9/3/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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.

Highest-signal resume keywords

SQLAPIsAutomation ToolingTechnical SEO/AEOLLM-Based Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Demand GenerationLead-Scoring SystemsAttribution SystemsData HygieneSchema ReadingClient-Side RenderingCycle-Time MeasurementCost Impact AnalysisVersion ControlOutbound Workflows

Soft Skills

JudgmentDocumentation

Tools & Technologies

Common RoomHockeyStackRB2B-Class Tools

Industry Keywords

GTM SystemsSaaSRevOpsAI WorkflowsCrawlability

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Application limit: candidates may not apply more than one job in a 30 day span
Recruiters will consider candidates for any open and relevant role
Amazing product in a hot market
Ownership of the systems layer end to end
Team works together in the San Francisco office on Mondays, Tuesdays, and Thursdays
A few remote employees are supported