GTM Engineer

About Wyzard.ai Wyzard.ai is building the Signal-to-Revenue AI category. We help B2B companies capture buyer intent, qualify leads in real time, and orchestrate revenue actions across GTM tools without adding more SDRs or manual workflows. Wyzard acts as an always-on GTM copilot, sitting on top of CRMs, enrichment tools, intent platforms, email, LinkedIn, and AI agents converting signals into pipeline automatically. We are looking for a GTM Engineer who can sit at the intersection of Revenue, Systems, and AI and help us (and our customers) run GTM like a machine. Role Overview As a GTM Engineer, you will be responsible for designing, building, and optimizing GTM systems using modern sales, marketing, and AI tools. This is not a strategy-only role. This is a hands-on execution role where you will: - Build GTM workflows - Connect tools - Configure automations - Leverage AI for personalization and qualification - Translate revenue goals into working systems You will work closely with: - Founders - Sales & Marketing leaders - Product & Engineering teams - Customers implementing Wyzard.ai Key Responsibilities 1. GTM Stack Architecture & Execution - Design and implement end-to-end GTM workflows across: - CRM (HubSpot / Salesforce) - Enrichment tools (Apollo, Lusha, ZoomInfo, Clearbit) - Intent platforms (6sense, Factors, Bombora, RB2B) - Outreach channels (Email, LinkedIn, Chat) Own lead flow from signal → enrichment → qualification → routing → handoff 2. AI-Powered GTM Workflows - Configure and optimize AI-led workflows for: - Lead qualification (BANT, MEDDIC, CHAMP, custom logic) - Intent scoring and prioritization - Personalized multi-channel outreach - Use LLMs and AI tools to: - Generate contextual messaging - Adapt tone, timing, and channels - Automate follow-ups based on user behavior 3. Tool Integrations & Automation - Build and maintain automations using: - Native tool workflows - APIs / Webhooks (basic understanding) - No-code / low-code tools (Zapier, Make, n8n preferred) 4. Revenue Experimentation & Optimization - Run GTM experiments across: - Inbound conversion - ABM workflows - Event lead follow-up - SDR + AI hybrid models - Track impact on: - MQL → SQL conversion - Speed-to-lead - Pipeline velocity - Cost per qualified meeting 5. Customer Enablement & Internal GTM - Act as a GTM operator for Wyzard’s customers - Help customers design: - ICP definitions - Qualification logic - Routing rules - Playbooks and workflows Required Skills & Experience GTM & Revenue Systems - hands-on experience with: - HubSpot or Salesforce - Sales / Marketing automation tools - Deep understanding of: - B2B funnels - MQL, SQL, SAL concepts - SDR, AE, PLG, ABM motions Tooling Experience (Any combination of) - Enrichment: Apollo, Lusha, ZoomInfo, Clearbit - Intent based platform - Outreach: HubSpot Sequences, Salesloft, Outreach, Lemlist - Analytics: HubSpot reports, CRM dashboards, basic funnel metrics AI & Modern GTM - Practical exposure to AI tools: - LLMs (ChatGPT, Claude, etc.) - AI workflows for content, qualification, personalization - Comfortable working with: - Prompt-based systems - AI agents / agentic workflows (or strong curiosity to learn) Ability to think in “goals → signals → actions”, not just campaigns Technical Comfort (Not hardcore engineering) - Comfortable with: - APIs (conceptual understanding) - Webhooks - JSON / data structures (basic) - Able to talk to engineers without hand-holding What We’re Looking For (Mindset Matters) - Builder mentality — you like making systems work - Obsessed with outcomes, not vanity metrics - Comfortable operating in ambiguity - Can think like a founder, execute like an operator - Curious about how AI is reshaping GTM Why Join Wyzard.ai - Work on a new GTM category (Signal-to-Revenue AI) - Build with real customers, real revenue problems - Exposure to cutting-edge AI + GTM systems - High ownership, low bureaucracy - Opportunity to shape how modern GTM teams operate