8 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
GTM Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
GTM Engineer (AI): Designing and deploying AI-powered go-to-market workflows for prospecting, outreach, enrichment, qualification, and pipeline management with an accent on automation architecture, customer segmentation, and signal-based targeting. Focus on building custom integrations and applications with AI coding tools, running pipeline experiments, and measuring revenue impact across GTM functions.
Location: San Francisco, United States; on-site
Company
is building frontier AI technology with a research-oriented, startup environment.
What you will do
- Design, deploy, and improve AI-powered GTM workflows covering prospecting, outreach, enrichment, qualification, and pipeline management.
- Build and own the GTM technology stack using Clay, n8n, HubSpot, custom integrations, and related tools.
- Develop customer segmentation, ICP scoring, and signal-based targeting systems using enrichment data and AI.
- Prototype GTM motions, run structured experiments with pipeline data, and scale successful approaches.
- Build custom automations, scripts, lightweight applications, data pipelines, and integrations with AI coding tools, Python, or SQL.
- Partner with sales, marketing, business development, product, and research teams to automate workflows, improve messaging, and measure revenue impact.
Requirements
- 3β5 years of hands-on B2B GTM experience in business development, sales operations, growth, or revenue operations.
- Daily working proficiency with AI coding tools such as Claude Code, Cursor, or Copilot.
- Experience building complex multi-step automations with n8n, Zapier, Make, or similar platforms.
- Hands-on experience with Clay, Apollo, or equivalent enrichment and prospecting platforms, plus CRM workflow experience in HubSpot or Salesforce.
- Ability to write Python or SQL for custom integrations, data pipelines, and internal tools.
- Ability to work on-site in San Francisco.
Nice to have
- Familiarity with LLM prompting and orchestration frameworks for GTM use cases.
- Experience measuring GTM automation ROI, including pipeline generation, time savings, conversion improvements, or CAC reduction.
- Experience at an early-stage or high-growth AI company.
- Interest in frontier AI research and translating technical concepts into commercial narratives.
Culture & Benefits
- Build and define a new GTM function without inheriting a legacy playbook.
- Work directly with researchers, engineers, and founders in a fast-moving environment combining startup urgency with research-lab rigor.
- Comprehensive medical, dental, vision, and FSA plans.
- Competitive compensation, 401(k), unlimited PTO, and company holidays.
- Relocation and immigration support may be available on a case-by-case basis.
- In-office snacks and meals in a collaborative San Francisco workplace.
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
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