Senior GTM AI Engineer
Quick Summary
The Role You’ll design, build, and scale the AI engines, context-aware agents,
You’ll design, build, and scale the AI engines, context-aware agents, and workflow automations that turn static enterprise data into proactive decision intelligence across our Go-to-Market organization. Working at the intersection of data, analytics, revenue operations, and business systems, you will own the multi-year GTM AI technical roadmap and build the intelligence platform that optimizes how our Sales, Sales Operations, Marketing, and Customer Success teams operate.
Responsibilities
~1 min read- →Design, build, and deploy conversational AI experiences, intelligent assistants, and context-aware agents that surface playbooks, pricing guidance, and competitive insights directly 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 to ensure 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 real business impact.
- You have at least 5 years of experience in GTM analytics, revenue operations, business systems, or data products, with at least 2 years of hands-on experience building and shipping production AI agents, conversational tools, or workflow automations.
- You have 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.
- You have 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.
- You have experience evaluating and operating production AI systems, including testing for accuracy, groundedness, hallucinations, safety, latency, cost, and adoption, with appropriate monitoring and guardrails.
- You bring working proficiency in Python, SQL, JavaScript, or TypeScript to review, write, debug, and maintain production-oriented code.
- You combine systems thinking with business judgment, translating complex B2B SaaS commercial processes and operational rules into structured logic and intuitive user experiences.
- You thrive in fast-moving, ambiguous environments, taking initiatives from initial prototype to scalable, highly adopted production software.
- You are authorized to work in the United States. Please note that at this time, Everlaw is not sponsoring U.S. employment visas for this role.
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. We often revisit candidates who may have applied for a different role if something comes up that's a better fit.
The GTM Strategy & Operations team builds the engine behind an efficient, durable growth organization. Across strategy, planning, analytics, systems, and operations, the team sharpens how Everlaw segments markets, deploys resources, forecasts performance, and supports customer-facing teams. This work turns complex data into clear choices and scalable processes, helping the company grow with greater focus and discipline.
What We Offer
~1 min readThe expected salary range for this role is $154,000-$213,000. Final salary depends on factors including the candidate's experience and skills, and the base pay range is subject to change. This role is also eligible for equity and the benefits below.
Health & well-being
When a lawsuit or investigation happens, teams must comb through vast amounts of electronic evidence — emails, documents, chats, files — to find what matters. That work is not a side task but the case itself, and where most of the time and money in litigation goes. Everlaw is the litigation and investigation management platform changing that, using AI to turn mountains of messy data into the handful of facts that win or lose a case, compressing weeks of work into hours.
We're the kind of place that's ranked #1 on G2 in our category and named a Great Place to Work™ by our own team. So if you want a front row seat to an industry in transformation, career-defining work you'll be proud to tell people about, and real upside at a company in control of its own destiny, we'd love to get to know you.
- #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.
Location & Eligibility
Listing Details
- Posted
- August 28, 2026
- First seen
- August 28, 2026
- Last seen
- August 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- August 28, 2026
Signal breakdown
Please let Everlaw know you found this job on Jobera.
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