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! Think you’re missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and encourage you to apply if you feel you can bring value to our team.
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.
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...
1. 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.
2. 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.
- You are authorized to work in the United States; please note that at this time, Everlaw is not sponsoring visas for any positions.
Benefits
- The expected salary range for this role is between $133,000 - $169,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The role's compensation is subject to change in the future.
- 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
- Find out more about our Benefits and Perks
Perks
- Work in Uptown Oakland, CA or Midtown New York City
- Flexible work-from-home days on Tuesdays and Fridays
- Monthly home internet reimbursement
- Select your preference of hardware (Mac or PC) and customize your desk setup
- Enjoy a wide variety of snacks and beverages in the office
- Bond over company-wide out-of-the-box events and fun activities with your team
- Take advantage of learning and career development opportunities
- Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
- One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
- One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
- #LI-KV1
- #LI-Hybrid
At Everlaw, you'll shape how AI re-wires the legal industry, at a category-leading business built on a mission to illuminate the truth.
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.
When preparing to engage with Everlaw as a candidate, you may use AI tools for research, polishing application materials, and interview prep. However, any assessments (unless explicitly stated), remote interviews or live interviews must be completed independently without AI support.
By submitting your application, you agree to adhere to these rules. Here's the link to our
full policy, and please reach out with any questions!
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