Principal AI Go-to-Market Operations Engineer
QAD (company site, opens in a new tab)5+ yrsPuneHybridDirect career pageEst. 30–50 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect and deploy custom AI integrations connecting CRM, sales engagement, and other GTM tech stack components to drive pipeline generation and deal acceleration.
- Optimize revenue ecosystem by auditing tech stack, replacing redundant vendors with AI, and implementing predictive models for sales action recommendations.
- Collaborate cross-functionally to build AI-driven customer retention, automate renewals, and train GTM teams to effectively utilize AI tools.
Minimum Requirements
- 5+ years experience in Marketing/Revenue Operations or GTM Engineering with deep knowledge of leads-to-revenue funnel and SaaS GTM ecosystems.
- Proficiency in coding production integrations using Python, JavaScript, HTML or equivalent to connect AI agents with CRM, MAP, and sequencing tools via APIs.
- Strong expertise in modern B2B GTM stack including Salesforce, Clay, Claude, Outreach, Gong or Chorus.
- Work Experience Required: 5+ years in relevant roles.
Ideal Candidate Profile
- Experienced in consolidating and optimizing B2B SaaS GTM tech stacks to reduce vendor spend without compromising performance.
- Skilled in AI agent orchestration, including building prompt libraries and data training workflows for multiple AI agents managing different GTM functions.
- Analytical capability to apply pipeline math and unit economics to identify AI interventions that effectively compress sales funnel stages.