Research and aggregate data sources across target markets, including licensing registries, government databases, and third-party data providers.
Define Ideal Customer Profiles based on industry, company size, region, and decision-maker roles.
Extract data from official registries and public sources, enrich and segment accounts.
Design and deploy AI-driven outbound sequences that personalise messaging at scale.
Build and maintain models that score inbound and sourced leads against ICPs.
Develop predictive models that flag at-risk accounts 60–90 days before renewal.
Build automated pipelines for generating, reviewing, and publishing marketing content.
Set up automated systems that track competitor activity, pricing changes, and product launches.
Automate data entry, deal stage progression, activity logging, and reporting.
Move beyond database building into executing AI-powered outbound marketing campaigns.

Python with LLM orchestration frameworks (LangChain, LlamaIndex, or equivalent)
CRM platforms (Salesforce, HubSpot) and their APIs, including data import/sync
Web scraping, data extraction, and enrichment tools (Apollo, Clay, Clearbit, LinkedIn Sales Navigator)
Workflow automation tools (n8n, Zapier, Make) and production integrations
Prompt engineering for reliable, production-grade LLM workflows
Database design for lead management and segmentation
GTM metrics (MQL/SQL conversion, pipeline velocity, churn rate, NRR)
Background in revenue operations, sales engineering, or growth engineering
Experience building custom data acquisition frameworks from public registries
ABM (Account-Based Marketing) strategies and tooling
Vector databases for semantic search and recommendation

AI Workflow Specialist – GTM

Key skills