Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers, including world-leading brands, rely on our platform to streamline and accelerate everything from compilation, release automation, and Agentic Dev Cycles.

We are looking for a G2M Engineer to own and develop our technical growth and revenue engine. You will be the architect of our go-to-market infrastructure, securing our competitive advantage by building the agentic workforce that power our funnel. This is a highly technical role for someone who wants to apply engineering principles to marketing and sales, replacing manual processes with sophisticated, AI-driven automation.

Key Responsibilities:

• Funnel Architecture & Development: Own the data pipelines across the business unit toolchain (SFDC, HubSpot, Posthog, Gong, etc.) and user behaviour usage to provide reliable data visibility and high velocity lead and user engagements.
• Outbound workflows: Build automated outbound agents to prospect and acquire leads, relying on inbound, website,and social analytics using tools like Hey-Reach, Zoominfo and others.
• Cross-team alignment: Build internal triggers that notify Marketing, Sales, and CS stakeholders on key usage events to allow improved outreach.
• Market Intelligence: Develop AI agents to monitor market trends, analyze customer/prospect sentiment, driving qualitative data into actionable marketing plays.
• Generative Content Engine: Create and manage AI agents that leverage SEO/GEO data and market trends to accelerate PMMs creation of high-intent content delivery.
• Team Efficiency: Develop internal marketing and sales tools to resolve operational bottlenecks and eliminate the "manual tax" on the team.

• Experience: 5+ years of experience in a technical, growth, or RevOps engineering role within a B2B SaaS environment.
• Problem Solving: Proven track record of designing and building technical solutions to solve complex business challenges, including non-technical operational problems.
• Technical Stack: Hands-on experience with AI agent-building platforms (e.g., n8n) and strong proficiency working with APIs, webhooks, and data integrations.
• GTM Tooling: Expert-level experience with Salesforce and HubSpot; familiarity with tools such as PostHog, Gong, HeyReach, ZoomInfo, and Power BI is a strong advantage.
• AI/LLM: Deep understanding of LLM orchestration, prompt engineering, and vector database concepts, with practical experience applying them to real-world use cases.

Bonus:

• Software Development: Experience with Python, Node.js, or SQLis development a significant advantage.
• Industry Context: Familiarity with DevOps, CI/CD, or high-compute industries such as Gaming, Embedded Systems, or Fintech.
• Growth Background: Previous experience in a Growth Engineering or Sales Ops role within a high-scale B2B SaaS environment.