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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand and mid-level Bangalore role but niche GTM+LLM specialization reduces applicant density.
Requires domain-specific GTM and Salesforce experience, though LLM engineering skills remain transferable across industries.
Explicit 4+ years plus mandatory LLM, Salesforce, and integrations skills make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operationalize AI-powered go-to-market agents and workflow automation that accelerate sales and revenue teams.
Architect and maintain data infrastructure and integrations for GTM systems including Salesforce, Clay, and Gong.
Own development and governance of scalable GTM tools for forecasting, QBR generation, and deal review automation.
Minimum Requirements
4+ years experience in technical revenue operations, sales systems engineering, or GTM engineering.
Hands-on experience shipping AI-powered tools using large language models and AI agent frameworks.
Strong proficiency with Salesforce APIs, data model, reporting, and permissions.
Experience with Clay or similar data enrichment/workflow automation platforms.
Ideal Candidate Profile
Proven ability to translate GTM business processes into functional technical systems independently.
Experience working in fast-paced, evolving product environments with broad ownership.
Background in high-growth SaaS or fintech companies with experience in sales systems and AI-driven automation.