The Role
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.
This is a full-time, exempt position based in our Oakland, CA office with a hybrid work schedule: in office M/W/Th with the option to work from home on Tu/Fr.
What you'll do
- 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.
About You
- 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 Team — GTM Strategy & Operations
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.
Total Rewards & Benefits
The 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
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Accounts for health and dependent care expenses
- Membership to Modern Health to support mental health and wellness
- Paid parental leave
- Company-sponsored life and disability insurance
Financial rewards
- Competitive equity grants, so you share in Everlaw's long-term growth
- 401(k) plan with company matching of up to 4% of eligible annual compensation
Growth & everyday perks
- 17 paid vacation days, 11 federal holidays, and paid sick leave
- Four "Everlawlidays" (additional paid company-wide days off) per year
- Annual allocation for learning & development and relevant professional membership dues
- Hybrid work with regular work-from-home days and flexibility for life's logistics
- Monthly home internet reimbursement, plus a stipend for your desk setup
- Catered lunch each workday, plus snacks and company-wide events in our offices
About Everlaw
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.
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!
We use Gem as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Gem with job requirements and candidate-submitted applications. 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 Gem complies with NYC Local Law 144. We began using Gem in April 2026.
