Sr. GTM AI Engineer

Sales Operations, Pune, India

Job Summary

We are seeking an innovative Sr. GTM AI Engineer to design and scale AI-powered revenue workflows that improve seller productivity, increase Gross Bookings, enhance customer engagement, and reduce churn.

Responsibilities

AI-First Revenue Operations

• Design AI-powered Lead-to-Renewal workflows.
• Automate manual GTM processes.
• Build intelligent AI copilots and agents.
• Scale repeatable revenue operations.

Accelerate Revenue Growth

• Improve lead scoring and routing.
• Prioritize accounts and opportunities.
• Automate sales plays and account planning.
• Increase pipeline conversion and velocity.

Enhance Customer Success

• Predict churn and contraction risk.
• Identify expansion opportunities.
• Automate customer health insights.
• Trigger proactive renewal workflows.

Engineer GTM Workflows

• Build AI automation across Marketing, Sales, Customer Success, and RevOps.
• Orchestrate lead, opportunity, and renewal processes.
• Automate forecasting and pipeline management.
• Deliver next-best-action recommendations.

AI & Technology Integration

• Integrate Salesforce and the GTM technology stack.
• Develop API and workflow automations.
• Operationalize AI models and LLM capabilities.
• Enable secure, scalable AI solutions.

Data & Analytics

• Improve CRM quality and data governance.
• Automate enrichment and deduplication.
• Build AI-ready datasets.
• Measure workflow performance and business impact.

Requirements

Experience

• 5+ years in GTM Engineering, Revenue Operations, Sales Operations, or Marketing Operations.
• Experience supporting enterprise B2B SaaS organizations.
• Proven success designing scalable revenue workflows.
• Experience implementing AI-enabled automation.

Technical Skills

• Salesforce administration and automation.
• APIs, SQL, Python or JavaScript.
• Workflow orchestration and no-code platforms.
• Experience with Marketo, ZoomInfo, 6sense, Cognism, Qualified, Aviso, Gong, or Salesloft.

AI Expertise

• Large Language Models (LLMs).
• Prompt Engineering and AI Agents.
• AI workflow orchestration.
• Predictive analytics and automation.

Business Acumen

• Lead-to-Revenue processes.
• Forecasting and pipeline management.
• Customer lifecycle and renewals.
• SaaS metrics including ARR, ACV, NRR, Churn, and Gross Bookings.

Success Measures

• Increase Gross Bookings and pipeline conversion.
• Improve seller productivity through automation.
• Increase forecast accuracy and pipeline visibility.
• Reduce manual GTM effort.
• Improve customer retention and expansion.
• Accelerate AI adoption across the GTM organization.

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