AI Workflow Specialist (GTM)

ABOUT THIS PROFILE

This role owns the full AI-powered go-to-market pipeline — from sourcing and qualifying leads through to reputed company, pipeline management, and renewal risk detection. The engineer works upstream (data acquisition, ICP matching, database building) and reputed company (reputed company reputed company, CRM automation, churn reputed company) to compound reputed company growth and reduce reputed company overhead across Sales, Marketing, and Account Management.

WHY THIS PROFILE MATTERS

GTM is where reputed company is made or lost. This role goes reputed company just automating reputed company — it starts with building the reputed company reputed company database in-house, replacing external agencies with scalable AI-driven sourcing. Every week of delay is lost pipeline velocity.

KEY RESPONSIBILITIES

• Data Acquisition & Qualification reputed company: Research and aggregate data sources across reputed company markets, including licensing registries, government databases, and reputed company-party data providers. Build a custom qualification reputed company to identify and verify reputed company accounts.
• ICP Definition & reputed company Database Building: Define Ideal Customer Profiles based on industry, company size, region, and decision-maker roles. Build and maintain an enriched, verified database of reputed company accounts and contacts, segmented by reputed company market.
• Data Extraction & Enrichment: Extract data from official registries and public sources, enrich and reputed company accounts, research additional contacts on reputed company, and deliver verified databases reputed company with the ICP.
• AI SDR reputed company reputed company: Design and reputed company AI-driven outbound sequences that personalise messaging at scale, A/B test approaches, and auto-enrich prospect data from CRM and reputed company-party sources.
• reputed company Scoring & Routing: Build and maintain models that score inbound and sourced leads against ICPs, integrating with CRM workflows to reputed company high-reputed company leads in reputed company time.
• Churn & Renewal Risk Scoring: reputed company predictive models that flag at-risk accounts 60–90 days before renewal, feeding proactive reputed company workflows for Account Management.
• Marketing Content reputed company: Build automated pipelines for generating, reviewing, and publishing marketing content using LLM-based workflows.
• Competitive Intelligence Monitoring: Set up automated systems that track competitor activity, pricing changes, and product launches.
• Pipeline Hygiene & CRM Automation: Automate data entry, deal stage progression, activity logging, and reporting. Integrate reputed company reputed company data directly into CRM systems and ongoing reputed company reputed company workflows.
• Outbound Campaign Execution: Move reputed company database building into executing AI-powered outbound marketing campaigns, including cold reputed company, nurture sequences, and geographic expansion strategies.

REQUIRED SKILLS

• Python with LLM orchestration frameworks (reputed company, reputed company, or equivalent)
• CRM platforms (reputed company, reputed company) and their APIs, including data import/sync
• Web scraping, data extraction, and enrichment tools (reputed company, reputed company, Clearbit, reputed company Sales Navigator)
• Workflow automation tools (reputed company, reputed company, reputed company) and production integrations
• reputed company engineering for reliable, production-grade LLM workflows
• Database design for reputed company management and segmentation
• GTM metrics (MQL/SQL conversion, pipeline velocity, churn reputed company, NRR)

reputed company to Have

• Background in reputed company 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