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Everlaw

Ediscovery software with analytics & ML

GTM AI Engineer

AI Application EngineeringUpdated on Nov 9
Full-timeOakland, CA, USA$154k - $213k

About the Job

Requirements

  • At least 5 years of experience in GTM analytics, revenue operations, business systems, or data products, including at least 2 years of hands-on experience building and shipping production AI agents, conversational tools, or workflow automations.
  • Hands-on experience developing LLM-powered applications using OpenAI/ChatGPT, Anthropic Claude, or comparable enterprise models, including prompt design, context management, structured outputs, and model selection.
  • Experience designing and shipping AI agents using tool and function calling, agent orchestration, multi-step workflows, memory, and human-in-the-loop controls in a cost-optimized manner.
  • Experience evaluating and operating production AI systems, including testing accuracy, groundedness, hallucinations, safety, latency, cost, and adoption, with appropriate monitoring and guardrails.
  • Working proficiency in Python, SQL, JavaScript, or TypeScript to review, write, debug, and maintain production-oriented code.
  • Systems thinking and business judgment to translate complex B2B SaaS commercial processes and operational rules into structured logic and intuitive user experiences.
  • Ability to take initiatives from initial prototype to scalable, highly adopted production software in fast-moving, ambiguous environments.
  • Authorization to work in the United States without restrictions.

Responsibilities

  • Design, build, and deploy conversational AI experiences, intelligent assistants, and context-aware agents that surface playbooks, pricing guidance, and competitive insights within daily GTM workflows.
  • Implement AI agents and automated workflows that eliminate repetitive manual execution across approvals, data maintenance, reporting, and process investigations.
  • Develop decision intelligence capabilities that monitor GTM operations to proactively flag deal risks, identify expansion opportunities, and highlight operational bottlenecks.
  • Own the GTM AI strategy and roadmap and build unified knowledge architectures, governed semantic layers, and metric lineage across GTM systems and data environments so AI applications rely on trusted data.
  • Establish AI governance and value-realization practices, including guardrails for sensitive data, security, privacy, responsible AI, model and agent performance, and measurable business outcomes.
  • Lead AI adoption and operating-model change, including identifying champions, creating training and communications, monitoring adoption, gathering feedback, and rationalizing the AI tool and vendor stack.
  • Partner with cross-functional leadership across Sales, Marketing, RevOps, Product, and Systems to translate complex operational needs into scalable technical solutions and run structured experiments that measure business impact.

About the Company

Everlaw

Ediscovery software with analytics & ML

Everlaw provides a cloud-native legal technology platform that helps law firms, corporations, and government agencies manage ediscovery and related legal workflows. It collects and analyzes electronic data to locate relevant information and discard irrelevant material, using analytics and machine learning to surface near-instant insights. The platform also includes tools for deposition and trial preparation and features that support faster cyber breach responses and other legal requests. Compared with competitors, Everlaw combines an end-to-end, cloud-based solution with an emphasis on ease of use for legal professionals and integrated workflows, reducing the time and effort needed to handle discovery, investigations, and trial prep. Its goal is to help legal teams find, organize, and use the necessary information quickly and efficiently to win cases and meet regulatory or investigative demands.

Company size
501-1,000
Company stage
Series D
Total funding
$298.6M
Headquarters
Oakland, CA
Founded
2010

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