GTM Engineer

Company Description
LexSims is building an AI-native decision-support platform designed for modern legal teams. The company combines advanced document intelligence, structured case knowledge, and agentic simulations to help attorneys deliver high-quality work product more efficiently. LexSims focuses on practical, workflow-centric tools that integrate into existing legal processes. Team members work closely with legal professionals and technologists to shape the future of AI in the legal industry.

Role Description
The GTM Engineer role is a full-time, on-site position based in the San Francisco Bay Area. This role sits at the intersection of engineering, product, and go-to-market, enabling customers and internal teams to understand, adopt, and scale LexSims’ platform. Day-to-day work includes collaborating with sales and customer success on technical discovery, building and maintaining demos and proof-of-concept integrations, and translating customer needs into clear product and engineering requirements. The GTM Engineer will design and document solution architectures, support technical evaluations and onboarding, and create technical content such as runbooks, implementation guides, and best-practice playbooks. This role also involves analyzing product usage, identifying opportunities to improve activation and retention, and providing feedback that informs roadmap and positioning.

Qualifications

• Experience in a GTM-facing technical role (e.g., sales engineering, solutions engineering, implementation engineering, or customer engineering) working with complex SaaS or AI products.
• Strong technical skills in APIs and integrations, including comfort with JSON, REST, webhooks, and basic scripting or coding to build and debug demos and prototypes.
• Ability to translate technical capabilities into clear business value, with strong communication skills for working closely with sales, marketing, product, and customers.
• Background in designing solution architectures, conducting technical discovery, and handling proof-of-concept projects from scoping through deployment.
• Experience creating technical documentation, implementation guides, and reusable assets that support repeatable customer onboarding and adoption.
• Familiarity with AI/ML products, data pipelines, or developer tools; prior exposure to legal tech or professional services workflows is a plus.
• Comfort working in an early-stage environment, including prioritizing autonomously, handling ambiguity, and iterating quickly based on feedback.
• Bachelor’s degree in a technical field or equivalent practical experience.