GTM AI Developer

About the Role: GTM AI Developer at ShareGate

ShareGate's Growth Go-To-Market (GTM) squad aims to consolidate every important signal—product usage, web intent, ad spend, and creative performance—into a unified revenue engine. As a GTM AI Developer, you will be instrumental in designing and implementing AI-powered systems, dashboards, and playbooks. Your work will transform these signals into accelerated pipeline growth, faster learning cycles, and enhanced seller satisfaction. This role is more akin to an embedded engineer within Marketing & RevOps, rather than a back-office operations position.

Key Responsibilities

• Reusable automation modules: Build backbone workflows using tools like Clay, HeyReach, HubSpot, Snowflake, CommonRoom, and SmartLead to power numerous outbound or nurture plays.
• GTM playbooks & enablement: Translate every module into clear Standard Operating Procedures (SOPs), Loom demos, and copy-ready plays for AI agents, SDRs, marketers, or CSMs.
• Insight products: Ship dashboards that effectively surface ad Return on Ad Spend (ROAS), content engagement, and next-best-action suggestions.
• AI agents & content generators: Deploy Large Language Model (LLM) tooling for rapid research, message personalization, and creative testing at scale.
• Data quality & deliverability: Maintain sender reputation at ≥ 95%, ensure clean scores, and airtight attribution for all campaigns.

Your Future Team

The GTM Engineering team is a lean, AI-native group embedded within the Marketing function at ShareGate. Comprising a Senior Manager (GTM AI Engineering) and a GTM Architect, this team collaborates daily with Sales, Demand Gen, Brand, and Data departments. Our mission is to build intelligent systems that eliminate manual work and significantly accelerate execution. We are not a support function; we are proactive builders driven by the power of AI to design smart workflows, automate decisions, and amplify human creativity across Sales and Marketing functions. If you share this excitement, you will find both significant challenge and purpose here.

Qualifications

• Growth-automation & full-stack engineering: Proven experience shipping end-to-end features using Cursor/Python/TypeScript (Next.js), integrating REST & webhook APIs, and leveraging low-code orchestrators (n8n, Zapier) for rapid development.
• Generative-AI workflow design: Expert in prompt engineering, LLM chaining/agent orchestration, and vector search; capable of rapidly spinning up reusable AI components.
• Funnel & performance analytics: Fluent in SQL, proficient in cohort and conversion analysis, experimentation metrics, and dashboarding from data warehouse to Business Intelligence (BI) tools.
• RevOps systems & deliverability: Skilled in modeling CRM objects, sequencing and lead-routing logic, and implementing sender-reputation and compliance safeguards to ensure campaign success.

Nice-to-Haves

• PLG SaaS growth chops: Experience operating within a product-led funnel, understanding activation & expansion mechanics.
• Shipped an AI agent: Successfully built and deployed an LLM-powered agent to solve a real business workflow.
• Automated repetitive tasks with AI: Transformed a manual GTM or operations pain point into a fully hands-off process.
• Built features with an AI SDK: Hands-on experience with OpenAI, Vercel AI SDK, or similar frameworks for rapid prototyping.
• Taught the community: Published blog posts, Loom videos, or delivered conference talks explaining technical concepts clearly.

Key skills/competency

• AI Development
• Go-To-Market Strategy
• Full-Stack Engineering
• Automation Workflows
• Generative AI
• Prompt Engineering
• Data Analytics
• SQL
• RevOps Systems
• Python/TypeScript