GTM Knowledge Engineer

Everlaw; New York (NY); Hybrid; USD 133,000 - 169,000; Full time

Benefits offered by this job

Salary: $133,000 - $169,000 (dependent

Equity program

401(k) with match

Health, dental, and vision insurance

Flexible Spending Accounts

Paid parental leave

Vacation days

Job summary

Everlaw is seeking a GTM Knowledge Engineer to join the Go-to-Market Center of Excellence. You will build intelligent interfaces, AI agents, and knowledge systems that support sales teams, reduce friction, and accelerate seller workflows.

You will automate GTM agents for meeting prep, POV generation, certification, and ROI modeling while translating policy into user‑friendly guardrails. You will also tackle Q2C automation, map CPQ friction, and deploy proactive validation in the user interface

Qualifications

• ,4+ years of relevant professional experience including hands-on AI agents, conversational interfaces, or internal apps.

Responsibilities

• Build and ship localized context-aware GTM Agents to solve seller problems.
• Program backend orchestration layers to surface the right agent or asset in real time.
• Create automated onboarding, certification, and AI role-play environments.
• Prototype real-time sales assistance tools inside live call environments.
• Develop automated content pipelines to keep data fresh and accurate.

Skills

JavaScript

TypeScript

Python

APIs

Frontend engineering

LLM orchestration

Tools

Claude

LLM APIs

Vector storage

Job 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.

At Everlaw, our mission is to promote justice by illuminating the truth. Our company culture is open and democratic and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check‑ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! We do not believe in the ‘perfect’ candidate and encourage you to apply if you feel you can bring value to our team.

Responsibilities

• 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: Translate abstract, highly complex operational policies directly into clean, automated rules‑of‑the‑road within user workspaces, using low‑overhead interface apps.

Qualifications

• Hands‑On Engineering Depth: 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: Proficiency in JavaScript, TypeScript, or Python; experience interacting directly with APIs, vector storage setups, and AI application orchestration frameworks (Claude, modern LLM APIs).
• Usable UX Development: Proven background engineering practical, lightweight tools that non‑technical users adopt smoothly.
• Commercial Domain Acumen: 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.
• Prototyping Engineer: Ability to read, review, optimize, and debug JavaScript or Python code directly to build apps that work seamlessly.
• Systems Architect of Enablement: Perspective on modern sales development as an optimization loop where information architecture and agent automation structurally accelerate human capability.
• High‑Velocity Shipper: Intense bias for action, rapid prototyping, thrive under high‑growth mandates, and build scalable front‑ends that make complex systems instantly actionable for non‑technical users.

Benefits

• Salary: $133,000 - $169,000 (dependent on experience and skills); compensation subject to change.
• Equity program.
• 401(k) retirement plan with company matching.
• Health, dental, and vision insurance.
• 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.

Company

At Everlaw, we help law firms, government agencies, and corporations sift through millions of documents of evidence in big lawsuits and investigations to find the proverbial smoking gun. It’s a multi‑billion dollar space typically dominated by service‑oriented vendors, and we’re coming at it with cutting‑edge technology and elegant design. We have been growing very rapidly: we host hundreds of terabytes of data and work with all 50 state Attorneys General and hundreds of law firms on some of the most high‑profile cases litigated today.

Location & Work Arrangement

This is a full‑time, exempt position based in our Oakland, CA or New York City office with a hybrid work schedule: in office M/W/Th with the option to work from home on Tu/Fr.

Application Process & Policies

• People who use AI tools for research, polishing application materials, or interview prep are encouraged.
• All assessments, remote interviews, or live interviews must be completed independently without AI support.
• We use Covey as part of our hiring and/or promotional processes. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations.
• For positions in New York City, our use of Covey complies with NYC Local Law 144.
• We began using Covey Scout for Inbound on the 9th of June, 2025.

EEO Statement

Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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