AI Workflow Specialist – GTM
Posted 8hrs ago
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Job Description
AI Workflow Specialist managing AI-driven go-to-market processes for qualified leada in Germany. Involves data acquisition, outreach automation, and risk assessment to enhance revenue growth.
Responsibilities:
- 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.
Requirements:
- 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




















