Senior QA Automation Engineer

About Us At Litify, we’re revolutionizing the Legal industry by being the platform powering legal’s top performers. As a trailblazer in legal technology, Litify delivers an all-in-one legal operating solution that empowers law firms and legal departments to achieve consistent success by continually standardizing, measuring, and improving their legal operations. Our mission is clear: to deliver better business outcomes to our clients, so they can focus on delivering the best legal service and outcomes to their clients. 400+ enterprise businesses and 55K+ legal professionals trust Litify to amplify their impact with innovative technology and service that stands the test of time. Backed by Bessemer Venture Partners, Litify is proud to be recognized as one of Inc. 5000 and Deloitte Technology Fast 500’s fastest-growing private companies in America along with numerous awards for our unparalleled software. With offices in the vibrant cities of New York and New Orleans, we’re at the heart of legal innovation. About the Role Litify is looking for a Senior QA Automation Engineer to join our Product & Engineering team! This is a high-impact, AI-first role where you will own quality end-to-end within an agile squad and lead the team's adoption of AI-driven testing practices. We are actively transforming how QA works at Litify; shifting from traditional manual test execution to an AI-augmented model where AI agents perform initial test passes and human QA engineers focus on reviewing AI-generated results, exploratory edge-case testing, and making critical judgment calls on quality and risk. You will be the person who drives this transformation on the ground. Your day-to-day will involve reviewing and validating AI test outputs, identifying gaps the AI missed, performing targeted exploratory testing on high-risk areas, and building scalable Playwright automation to reach 80% coverage by end of year. You'll use Claude, GitHub Copilot, and other AI tools not just as productivity boosters, but as core components of your testing workflow. Our product is built on the Salesforce platform, and we need someone who can navigate complex enterprise software with confidence. The ideal candidate is excited about redefining what QA looks like in 2026, and can lead teammates through this transition. You can be located anywhere in the United States. In this role, you will: Champion AI-first QA practices. Lead the rollout and continuous improvement of our AI Feature Testing process, where AI agents execute initial test passes and QA engineers review, validate, and extend coverage. Review and validate AI-generated test results. Critically assess AI test outputs for accuracy, completeness, and false positives/negatives, applying your domain expertise and judgment to determine pass/fail outcomes. Perform execution of manual test cases, targeted exploratory and edge-case testing. Focus human testing effort where it matters most: complex workflows, boundary conditions, integration points, and scenarios where AI coverage is insufficient. Own QA strategy and execution for your squad, including test planning, risk assessment, and release readiness decisions. Write and maintain automated tests in Playwright, following Page Object Model (POM) design patterns, and expand POM coverage to support a scalable, maintainable automation suite. Leverage AI development tools (Claude, GitHub Copilot) as core parts of your workflow to generate test cases, write automation scripts, debug failures, and accelerate coverage growth. Guide and train the QA team on effective AI tool usage, prompt engineering for testing, and the evolving QA review workflow. Integrate automated tests into our Xray test management repository and maintain traceability between test cases, requirements, and defects. Manage QA workflow in Jira. Logging and prioritizing bugs, classifying defect severity, and keeping test status current for the team. Communicate quality status, risk, and AI testing adoption progress clearly to developers, product managers, and leadership stakeholders. Partner with Customer Support in triaging complex application issues when needed. To be successful in this role, you have (required): 7+ years of experience in an automation QA role A genuine enthusiasm for AI-augmented workflows and a belief that AI fundamentally changes how QA operates. Hands-on experience using AI tools (Claude, GitHub Copilot, Cursor, or similar) in a professional development or testing context; not just experimentation, but integrated into how you work. Strong critical thinking and judgment skills. You know how to evaluate AI-generated outputs, spot what's wrong, and decide when to trust the result versus dig deeper. Hands-on experience with Playwright (preferred) or strong experience with a modern automation framework (Cypress, Selenium, WebdriverIO, etc.) and willingness to ramp quickly on Playwright. Demonstrated experience with exploratory testing techniques and the ability to find defects that scripted and AI-driven tests miss. Proven ability to create and own test plans, define test strategies, and make risk-based decisions about release readiness. Familiarity with Xray or a comparable test management tool integrated with Jira. Strong Jira proficiency, including ticket workflows, bug reporting, sprint board management, and defect classification. Excellent written and verbal communication skills, with the ability to present quality metrics and AI adoption progress to both technical and non-technical stakeholders. Experience contributing to or maintaining a shared QA codebase with strong code quality and review practices. Leadership mindset: You take initiative, coach peers through change, and raise the bar for the team. Nice-to-have: 5+ years of experience with Playwright. Experience with Salesforce or testing Salesforce-based applications. Familiarity with Salesforce debugging logs or similar platform-level diagnostic tools. Prior experience working within legal technology or document management products. Experience with CI/CD pipelines and integrating automated tests into deployment workflows. Experience with prompt engineering, building AI-augmented QA workflows. Experience leading a team through a process transformation or tooling adoption. Familiarity with AI testing concepts such as output validation, hallucination detection, or confidence scoring. Disclosure: The estimated base salary pay range for this role is $110,000-120,000. You may also be offered a bonus and benefits. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company. The range above is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.