GTM Engineer

About AvePoint AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. Overview Revenue Operations GTM Engineer to design and build the underlying technical infrastructure that powers our revenue engine across Sales, Marketing, Product, and Customer Success. The role treats Go-To-Market execution as an engineered system, not a manual process. You will architect the automation layer that connects our CRM, marketing platforms, product telemetry, support systems, and financial workflows into a scalable, real‑time operating environment. Your mandate is to: Maximize revenue impact from CRM data and workflows Reduce human‑dependent workflows Reduce latency between signal and action in the revenue funnel Operationalize GTM strategy through automation, orchestration, and AI Key Responsibilities Design & Implement GTM Automation: Build and maintain scalable, end‑to‑end workflows across CRM, marketing, customer experience, and financial systems to streamline lead‑to‑cash and renewal‑to‑expansion processes. Integrate Revenue Systems: Develop API‑based integrations across the GTM tech stack to unify account, engagement, pipeline, and product usage data into a real‑time operating environment. Operationalize GTM Strategy: Translate segmentation, routing, scoring, and lifecycle management frameworks into automated system logic that reduces manual intervention and execution latency. Enable AI‑Driven Execution: Deploy enrichment pipelines and intent or usage‑based triggers to improve data quality, pipeline prioritization, and next‑best‑action workflows. Key Skills Technical: Proficiency in APIs, SQL, Python/JavaScript, CRM platforms, automation tools, and AI/ML basics. Business Acumen: Deep understanding of sales cycles, marketing funnels, and customer acquisition strategies. Analytical: Ability to interpret data, identify trends, and build actionable insights. Qualifications Education: BS in Computer Science, Engineering, or related field (or equivalent practical experience). Revenue Integration: 1–4+ years building integrations or automation across SaaS platforms. Certifications: Certifications in Microsoft Dynamics 365; Power Platform preferred but not required. Coding Proficiency: REST APIs, JSON, SQL (data extraction and transformation), Python or JavaScript (Node.js preferred). Workflows and Data: Experience with workflow orchestration or automation platforms. Familiarity with dbt or modern data transformation frameworks preferred. Stack Experience: Hands‑on experience with sales stack tools, including CRM Dynamics 365, Power BI, Outreach, Gong, 6sense, etc. GTM Awareness: Baseline understanding of B2B sales cycles, lead scoring, and demand generation. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice. #J-18808-Ljbffr