ABOUT THE ROLE
We are looking for a GTM Engineer who builds revenue systems — not just runs campaigns. You design, automate, and maintain the full pipeline from signal detection to signed deal, working across data engineering, outreach infrastructure, AI workflow automation, and client enablement. You sit at the intersection of sales intelligence, agentic AI, and product GTM — owning the technical systems that make go-to-market execution rapid, personalized, and scalable.

KEY RESPONSIBILITIES
▸ 1. Lead Data sourcing, engineering & Enrichment
• Build and maintain lead databases from web scraping (Python, Playwright, BeautifulSoup), directory sources, and data exports at 1,000–10,000 contact scale.
• Design waterfall enrichment pipelines across multiple providers — Apollo → Clearbit → Hunter → Clay AI — paying only for verified hits, never wasting credits on duplicates.
• Normalize, deduplicate, and validate contact records across CSV, XLSX, and API data sources using Python and data-cleaning scripts.
• Enrich firmographic and technographic signals (websites, LinkedIn URLs,



employee count, tech stack) for downstream ICP qualification and scoring.

▸ 2. ICP Architecture & Signal-Based Prospecting ★
• Define and maintain ICPs and buyer personas across multiple verticals (accounting, real estate, finance, healthtech), mapped to Sales Navigator filters, Clay logic, and Apollo sequences.
• Build signal-based prospecting workflows that monitor hiring signals, funding announcements, technographic changes, and intent data — triggering automated outreach when buying windows open.
• Tools: Trigify, Bombora, BuiltWith, Crunchbase, LinkedIn Jobs API
• Set up and maintain LinkedIn Sales Navigator saved searches with persona-specific filters by function, seniority, location, and company size.
• Qualify and score leads using AI-assisted logic in Clay, with conditional routing to different outreach tracks based on ICP tier, vertical, and engagement signal.

▸ 3. Multi-Channel Outreac

📌 GTM Engineer (India)
🏢 Metawurks
📍 India