GTM AI Engineer

• 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
• 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
• 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

Benefits

• Mind & Body - Everlaw cares about the whole person, and that is underscored by our health care plan. Everlaw offers employees and their dependents private health insurance which covers 100% of employee health insurance premiums and 60% of dependent premiums.
• Investing in Your Future - Everlaw believes in building for the long-term - for both our product and our employees. Everlaw enrolls employees in a pension fund upon hire where employees contribute 4% of their salary with a company match of 4%. An additional 1% comes from the UK government in the form of tax relief.
• Family Bonding - Everlaw supports growing families by ensuring employees receive 100% of their salary for up to 10 weeks for family-bonding leave, in addition to 8 weeks of fully paid leave for birthing parents.
• Everlawlidays and More - When you have a group of highly skilled, highly driven truth-finders, it's important to build in breaks for recharging. Everlaw offers employees 20 days of paid holiday per calendar year in addition to the eight public holidays in England and Wales. Everlaw also recognises four 'Everlawlidays' that are designated days off for the whole company. Upon their fourth work anniversary, employees are upgraded to 23 days of holiday and to 27 days on their seventh work anniversary.
• On-Site Lunches and Snacks - Enjoy delicious daily catered lunches and sample the rotating snack and beverage selections in our London office.
• Never Stop Learning - We are committed to Everlawyers' professional growth and encourage employees to pursue the right learning and development opportunities for wherever they are in their journey. With an annual Learning & Development stipend of £1,600, Everlawyers can attend conferences, obtain certifications, join classes and meet with career coaches.
• Giving Back - We are committed to supporting our local communities so we build in time for you to give back. In addition to time off for company-sponsored volunteer events, employees get four paid hours per quarter to volunteer at any charity recognised by the HMRC.
• Creating Community - Everlaw is filled with empowered, passionate problem solvers who like to have fun. From team dinners to holiday parties, Everlaw hosts optional company-wide bonding events regularly. Additionally, each department is given a monthly budget for activities and events planned by you and your colleagues. Events have included go-karting, escape rooms, trapeze classes and intramural sports.

• 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 experience evaluating and operating production AI systems, including testing for accuracy, groundedness, hallucinations, safety, latency, cost, and adoption, with appropriate monitoring and guardrails
• 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
• You thrive in fast-moving, ambiguous environments, taking initiatives from initial prototype to scalable, highly adopted production software
• You combine systems thinking with business judgment, translating complex B2B SaaS commercial processes and operational rules into structured logic and intuitive user experiences
• 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 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 bring working proficiency in Python, SQL, JavaScript, or TypeScript to review, write, debug, and maintain production-oriented code
• 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