GTM Engineer – Marketing
Logz.ioTel AvivГибридот 3 летПолная занятость
PythonAICRMJavaScriptSalesforceGo-to-MarketB2B SaaSMarketing AutomationHubSpotmarketing operationsData Enrichment
Описание
This role involves building a sharper, account-based go-to-market engine for Logz.io, focusing on marketing automation, data, signals, and AI workflows to convert target accounts into qualified sales conversations.
Responsibilities
- Build and run HubSpot for marketing, including workflows, nurture and lead-warming programs, lists, forms, lifecycle stages, and campaign tracking
- Build AI agents for marketing using LLMs and tools like Clay or n8n to research accounts, personalize outreach, qualify inbound, and run event workflows
- Own marketing scoring and the handoff, defining when and how a lead or account passes to sales
- Power account-based marketing by building tiered target-account lists, enriching them with firmographic, technographic, and contact data, and mapping the buying committee
- Turn signals into action by bringing in intent, website, and engagement signals from target accounts and delivering them to the right owner with context
- Make marketing measurable through campaign and channel attribution, target-account engagement, and HubSpot marketing dashboards
- Partner with RevOps on the HubSpot–Salesforce sync, routing, and data standards
Requirements
- 3+ years in marketing operations or GTM engineering at a B2B SaaS company
- Deep HubSpot expertise in building and running complex marketing automation
- A builder's mindset with comfort in APIs, webhooks, integrations, and automation tools like Clay, n8n, Make, or Zapier
- AI fluency, having used LLMs to build practical GTM workflows
- Data skills to enrich, clean, and dedupe account and contact data, and work comfortably in spreadsheets and basic SQL
- Clear communication in fluent English to work with marketers, sellers, and RevOps
Nice to have
- Salesforce knowledge, including objects, reports, and HubSpot integration
- Scripting experience in Python or JavaScript
- Experience with data enrichment and intent tools (Clay, ZoomInfo, Apollo or similar)
- Experience with ABM in North America and EMEA
- Familiarity with B2B SaaS, developer, or observability products
We offer
- Opportunity to build the GTM engine from the ground up with ownership and direct impact
- Work across marketing, sales, product, and RevOps on a focused strategy
- A product at the center of AI-powered observability, used by engineering teams at cloud scale
- Hybrid work mode
- Full-time employment
Hiring process
- Artificial intelligence (AI) tools may be used to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses