Lead and scale an SDET/automation team to design and deploy AI-augmented test architectures. Drive adoption of AI-driven and agentic automation, expand automated coverage across UI/API/integration/backend, improve release reliability, and remain hands-on to guide architecture, validate approaches, and measure quality improvements.
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
We are seeking a highly technical people leader to serve as our SDET Manager, responsible for guiding the strategy, architecture, and execution of the next generation of AI-augmented quality engineering across the organization. This role requires both deep hands-on expertise and strong leadership capability to scale a high-performing automation team while driving measurable improvements in reliability and product quality.
In addition to advancing traditional automation frameworks, this role will lead and support the adoption of AI-driven and agentic automation solutions to increase test intelligence, reduce operational friction, and accelerate quality feedback loops across the SDLC.
Responsibilities
- Lead and mentor a team of SDETs and automation engineers, setting clear standards for technical excellence and delivery
- Drive the strategy and implementation of AI-powered and agentic automation solutions to improve defect detection, test generation, test maintenance, and deployment validation
- Evaluate and integrate emerging AI tooling into the quality engineering ecosystem, ensuring scalable, secure, and measurable impact on release confidence and automation efficiency
- Lead and monitor reduction of change failure rates through improved test architecture, release validation, and deployment safeguards
- Expand and optimize automated test coverage across UI, API, integration, and backend systems
- Partner with cross-functional stakeholders to proactively identify risk and improve release stability
- Champion continuous improvement through root cause analysis, defect trend evaluation, and performance monitoring
- Remain hands-on when necessary, reviewing automation design, validating technical approaches, and guiding architectural decisions
- Drive continuous improvement by identifying gaps in processes, tooling, and test coverage
Knowledge & Skills
- Strong background in automation framework design and scalable test architecture
- Deep experience with modern automation tools such as Playwright, Selenium, Cypress, or similar platforms
- Proficiency in object-oriented programming languages such as C# or Python
- Experience validating distributed and integrated systems, including microservices
- Strong understanding of CI/CD pipelines, version control systems, and DevOps practices
- Experience implementing automated testing across multiple layers:API, integration, system, end-to-end, etc.
- Familiarity with Agile development methodologies and modern SDLC practices
- Ability to align automation strategy with emerging technologies and evolving platform architecture
Qualifications
- Proven experience leading quality or automation teams in a fast-paced engineering environment
- 5+ years of managing distributed or remote quality teams
- 10+ years of hands-on automation development experience
- Demonstrated ability to influence cross-functional teams and senior stakeholders
- Strong analytical mindset with the ability to translate quality metrics into business outcomes
- Effective communicator who can simplify complex technical topics for executive audiences
- Practical experience designing or implementing AI-driven automation solutions, including intelligent test generation, self-healing frameworks, or agent-based validation systems
- Strong understanding of how large language models and agentic workflows can be leveraged within CI/CD pipelines to enhance quality signal, coverage optimization, and risk detection
Compensation Information: $120k - $152k
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Top Skills
Playwright,Selenium,Cypress,C#,Python,Microservices,Ci/Cd Pipelines,Version Control Systems,Devops,Large Language Models,Agentic Workflows,Automation Frameworks
Similar Jobs
Information Technology • Security
Lead Hardware Quality Engineering efforts ensuring products meet safety, reliability, and performance standards. Build and manage quality teams, establish testing strategies, and drive continuous improvement in automotive quality management frameworks.
Top Skills:
Electrical EngineeringMechanical Engineering
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.
Top Skills:
Ai/MlAPIsCi/CdSaaSTest Automation Frameworks
Agency • Software • Consulting
The QE Manager will lead test automation initiatives, ensuring software quality across multiple projects and collaborating with diverse teams for Fortune 50/100 companies.
Top Skills:
BlazemeterCircleCICypressGithub ActionsJavaJavaScriptJenkinsJestJmeterJunitKatalonMochaPhp UnitPlaywrightPostmanPythonRestassuredRobot FrameworkSeleniumTravisTypescript
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
