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Everlaw

GTM Knowledge Engineer

Everlaw
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hybrid senior full-time $133,000 - $169,000 New York, New York

First indexed 19 Jun 2026

Description

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence.

In this highly impactful role, you'll build, deploy, and improve the intelligent interfaces, AI agents, and knowledge systems that support our commercial teams and reduce friction across the seller workflow.

This role carries a dual mandate. First, you'll create and operationalize GTM agents that automate seller workflows such as meeting prep, POV generation, certification, stakeholder mapping, and ROI modeling. Second, you'll help reduce systemic friction across the quote-to-cash process by translating complex packaging, policy, and process requirements into clear, proactive user-layer guardrails that help teams move faster and more consistently.

Getting started

  • We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
  • We're excited for you to learn, grow, and contribute right away! We trust that you'll bring experience and knowledge that will uplift and uplevel the team, but we don't expect you to know everything on Day 1. You'll work to become a product expert, helping you provide industry-leading coaching and training to improve adoption of Everlaw.

In your role, you'll...

  • 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.
  • 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.
  • 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.
  • 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, and enterprise CRM/CPQ navigation parameters.
  • The Prototyping Engineer: You possess profound code literacy and can optimize, and debug code directly to build apps that work seamlessly.
  • Systems Architect of Enablement: You look at modern sales development 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 and excel at rapid prototyping.

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
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues
  • Company-sponsored life and disability insurance
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/everlaw/jobs/4690604006