GTM Knowledge Engineer
133k – 169kOakland, CANew York, NYHybrid4+ YOE
Summary
Build and deploy AI agents and knowledge systems that automate seller workflows and reduce friction in quote-to-cash processes. Requires 4+ years experience with at least 1 year building AI agents, plus proficiency in JavaScript/Python and commercial SaaS workflows.
About the role
Build Enablement Agents & Agentic Layers (75%)
- Custom GTM Agent Engineering: Design, code, and ship localized context-aware GTM Agents that solve explicit seller problems: tactical meeting prep, live stakeholder mapping, automatic POV generation, customer champion deck synthesis, and dynamic ROI modeling.
- Orchestration Layer Architecture: Program and maintain the backend orchestration layers that parse active CRM deal metrics to surface the exact right agent, script, or asset at the millisecond it is needed in a rep's live workflow.
- Agentic Onboarding & Certification: Collaborate with the Content Lead to Build interactive, automated AI role-play environments and auto-certification frameworks that adapt automatically to a rep's specific role, target region, or individualized execution gaps.
- In-Call & Co-Selling Assistance: Prototype real-time sales assistance tools and interactive overlays providing active deal guidance and objection handling support directly inside live call environments.
- Automated Content Maintenance: Work with the rest of the Center of Excellence team, create programmatic integrations and automated pipelines that connect data sources directly into seller interfaces, preserving content freshness and data accuracy automatically.
Drive Q2C Automation & Systemic Interface Fluency (25%)
- Q2C UX Friction Interception: Master the complete front-end layout of the CPQ platform to map and isolate severe click friction, configuration drop-offs, and administrative delays. Build inline agent validation paths that guide reps step-by-step through complicated calculations (e.g., co-termed add-ons, complex proration structures).
- Front-End Quoting Guardrails: Program proactive data validation scripts and warning triggers that catch item packaging errors or discount threshold violations directly over the user UI, mitigating back-and-forth rework loops with deal desks.
- Policy-to-Logic Translation: Take abstract, highly complex operational policies and translate them directly into clean, automated rules-of-the-road within user workspaces, using low-overhead interface apps.
About you
- Hands-On Engineering Depth: You have at least 4 years of relevant professional experience, including at least 1 year of hands-on experience building and shipping AI agents, conversational interfaces, or enterprise-grade internal applications—not just managing them.
- Code Literacy: You have some 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).
- Usable UX Development: You have a proven background engineering practical, lightweight tools that non-technical users adopt smoothly.
- Commercial Domain Acumen: You have thorough systems-level mapping comprehension of modern B2B SaaS workflows, sales deal milestones (MEDDPICC), data monitoring tracking (SQL, Snowflake data models), and enterprise CRM/CPQ navigation parameters.
- The Prototyping Engineer: You possess profound code literacy. You don't just ask an AI to write a prompt and copy-paste it blindly; you can open, read, review, optimize, and debug Javascript or Python code directly to build apps that work seamlessly.
- Systems Architect of Enablement: You look at modern sales development not as a collection of slide decks and training webinars, but as an optimization loop where information architecture and agent automation structurally accelerate human capability.
- The High-Velocity Shipper: You possess an intense bias for action. You excel at rapid prototyping, thrive under high-growth mandates, and build scalable front-ends that make complex systems instantly actionable for non-technical users.
Benefits
- The expected salary range for this role is between $133,000 - $169,000.
- Equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision
- Flexible Spending Accounts for health and dependent care expenses
- Paid parental leave and approximately 10 days (80 hours) per year of sick leave
- Seventeen paid vacation days plus 11 federal holidays
- Membership to Modern Health to help employees prioritize mental health and wellness
- Annual allocation for Learning & Development opportunities and applicable professional membership dues
- Company-sponsored life and disability insurance
Skills
JavaScriptTypeScriptPythonAPIsVector StorageLLM APIsClaudeSQLSnowflakeCRMCPQ
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