Principal AI Go-to-Market Operations Engineer

Webjaguar India; Pune District; Vor Ort; INR 900.000 - 1.400.000; Vollzeit

Zusammenfassung

Webjaguar India seeks a visionary AI Go-To-Market Engineer to sit at the core of its revenue engine. This hybrid role blends software engineering, data science, and revenue strategy to build an AI-first GTM ecosystem that unites Sales, RevOps, Marketing, and Customer Success.

The role focuses on creating bridges for pipeline generation, faster deal velocity, and reduced admin friction while optimizing tech spend across the GTM stack.

Qualifikationen

• 5+ years of experience in Marketing/Revenue Operations or GTM Engineering.
• Ability to write and maintain production integrations—Python, JavaScript, HTML—connecting AI agents to CRM, MAP, and sequencing tools.
• Deep working knowledge of the modern B2B GTM stack, specifically Salesforce, Clay, Claude, Outreach, Gong or Chorus.
• Proven track record of consolidating tech stacks and reducing vendor spend without sacrificing performance.
• Understanding of pipeline math and unit economics: translate targets into required pipeline and AI interventions.

Aufgaben

• Design, code, and deploy custom AI integrations from scratch to connect our CRM, Sales Engagement platforms, and other technology stack components.
• Audit the existing tech stack with RevOps/Marketing Ops and identify AI-driven cost reductions; implement predictive models for high‑intent pipelines and real-time Next Best Action recommendations.
• Collaborate with Customer Success and Marketing to build AI-driven retention loops, renewal triggers, and AI-assisted content distribution; train GTM teams to effectively prompt and use deployed AI tools.

Kenntnisse

GTM engineering

Prompt engineering

Data-driven decision making

AI augmentation mindset

Vendor consolidation

Tools

Salesforce

Clay

Claude

Outreach

Gong/Chorus

CRM integration

Jobbeschreibung

Job Summary

We are seeking a visionary and highly technical AI Go-To-Market (GTM) Engineer to sit at the core of our revenue engine. This is not a traditional operations role; it is a hybrid of software engineering, data science, and revenue strategy. You will be responsible for architecting an AI-first GTM ecosystem that bridges the gap between Sales, RevOps, Marketing, and Customer Success.

Your goal is to ensure that every individual in our GTM organization and every piece of our technology stack is augmented by Artificial Intelligence. You will build the bridges that allow us to generate more pipeline, accelerate deal velocity, and eliminate administrative friction, all while optimizing our tech spend.

Responsibilities

1. AI Architecture Custom Integration

• Design, code, and deploy custom AI integrations from scratch to connect our CRM, Sales Engagement platforms, and other technology stack components.
• Build proprietary internal LLM-based tools to automate account and contact enrichment, outbound messaging for early and middle of the funnel prospects.
• Develop agentic workflows that handle routine administrative tasks (e.g., CRM data, meeting summaries, and follow-up scheduling) across the revenue organization.

2. Revenue Ecosystem Optimization

• Partner with RevOps and Marketing Ops to audit the existing tech stack, identifying redundancies where AI can replace high-cost, low-utility third-party vendors.
• Implement predictive modeling to identify high-intent pipelines and provide Sales with real-time "Next Best Action" recommendations.
• Ensure data integrity across all platforms, creating a "single source of truth" that AI models can leverage for accurate forecasting.

3. Cross-Functional Efficiency

• Collaborate with Customer Success to build AI-driven retention loops and automated renewal triggers.
• Consult with Marketing leadership on AI-driven content distribution and performance marketing automation to lower Customer Acquisition Cost (CAC).
• Act as an internal consultant, training GTM teams on how to effectively "prompt" and utilize deployed AI tools to maximize their individual output.

Qualifications

• 5+ years of experience in Marketing/Revenue Operations or GTM Engineering. Deep understanding of the "Leads-to-Revenue" funnel and "Best-in-Class" SaaS ecosystems.
• Ability to write and maintain production integrations - Python, JavaScript, html, or equivalent - connecting AI agents to CRM, MAP, and sequencing tools via APIs. You dont need to be a software engineer, but you need to ship working code, not just configure no-code tools.
• Deep working knowledge of the modern B2B GTM stack - specifically Salesforce (as CRM and data hub), Clay, Claude, Outreach, Gong or Chorus, etc
• Proven track record of consolidating tech stacks and reducing vendor spend without sacrificing performance.
• Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to pipeline required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 20 opportunities per quarter at 20% win rate and ASD," you should immediately know where AI can compress that funnel.
• Experience with AI agent orchestration - managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce).
• Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents - treating agent training as a discipline, not a one-time setup.
• Strong opinions on when AI should replace human effort versus augment it - and the judgment to know that bad AI automation destroys deals faster than no automation at all.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.