GTM Knowledge Engineer
$133,000–$169,000 year
HybridOakland, California, United States
Job Summary
Design and ship localized, context-aware GTM agents that automate seller workflows for meeting prep, POV generation, stakeholder mapping, and dynamic ROI modeling. Program and maintain backend orchestration layers that parse CRM deal metrics to surface the exact right agent or asset at the millisecond it is needed in a rep's live workflow. Build interactive AI role-play environments and auto-certification frameworks that adapt to a rep's specific role or execution gaps. Prototype real-time sales assistance tools and interactive overlays providing active deal guidance and objection handling support directly inside live call environments. Create programmatic integrations and automated pipelines that connect data sources directly into seller interfaces, preserving content freshness and data accuracy automatically. Master the complete front-end layout of the CPQ platform to map and isolate severe click friction and configuration drop-offs. Build inline agent validation paths that guide reps step-by-step through complicated calculations and program proactive data validation scripts that catch item packaging errors or discount threshold violations directly over the user UI. Translate abstract, highly complex operational policies into clean, automated rules-of-the-road within user workspaces using low-overhead interface apps.
Required Qualifications
- At least 4 years of relevant professional experience
- At least 1 year of hands-on experience building and shipping AI agents, conversational interfaces, or enterprise-grade internal applications
- Technical proficiency in programming languages (JavaScript, TypeScript, or Python)
- Experience interacting directly with APIs, vector storage setups, and AI application orchestration frameworks (Claude, modern LLM APIs)
- Proven background engineering practical, lightweight tools that non-technical users adopt smoothly
- Thorough systems-level mapping comprehension of modern B2B SaaS workflows
- Knowledge of sales deal milestones (MEDDPICC)
- Experience with SQL and Snowflake data models
- Enterprise CRM/CPQ navigation parameters knowledge
- Ability to open, read, review, optimize, and debug Javascript or Python code directly
- Intense bias for action
- Experience with rapid prototyping
- Ability to build scalable front-ends
- Authorization to work in the United States
Desired Qualifications
- Experience with MEDDPICC
- Experience with SQL
- Experience with Snowflake data models
- Experience with enterprise CRM/CPQ navigation parameters
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