GTM Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
GTM Engineer (AI): Building and scaling systems to track and optimize the marketing journey for Token Factory with an accent on funnel architecture, data integration, and automation. Focus on connecting product telemetry with CRM systems, developing signal-driven workflows, and leveraging AI to optimize GTM execution.
Location: Remote (Must be based in the United States)
Salary: $146,900 - $220,300 USD
Company
is a full-stack AI cloud platform providing high-performance infrastructure for GPU orchestration and inference optimization for the global AI economy.
What you will do
- Build and scale funnel architecture across acquisition, activation, product engagement, and revenue.
- Integrate product telemetry, CRM systems, and enrichment tools into a unified customer activity view.
- Define and evolve MQL/PQL, account scoring, routing logic, and sales handoff workflows.
- Develop analytics frameworks and dashboards to uncover bottlenecks and drive data-driven decisions.
- Implement AI-powered automations to improve GTM systems and surface actionable insights.
- Establish operational rigor around lead routing, BDR SLAs, and funnel health visibility.
Requirements
- 4+ years of experience in GTM Engineering, Growth Engineering, RevOps, or Product Analytics.
- Strong proficiency in SQL and a track record of turning data into actionable business results.
- Hands-on experience with platforms like Salesforce, HubSpot, Clay, Demandbase, or Hightouch.
- Experience building complex workflows, automations, or AI-powered systems.
- Strong systems thinking and ability to operate in fast-paced environments.
- Must be authorized to work in the United States.
Culture & Benefits
- Competitive compensation packages based on experience.
- International environment with opportunities to work alongside talented global teams.
- Flexibility, work-life balance, and a culture of trust and real ownership.
- Opportunity to shape the future of AI by working on impactful infrastructure projects.
- Professional growth and continuous learning opportunities.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β