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Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit.
We're looking for a Lead QA Engineer to own and evolve Syllo's quality assurance function. This is a highly autonomous hands on leadership role responsible for defining our approach to quality, driving automation, and ensuring every release meets a high bar for reliability, performance, and user experience.
This is not a traditional QA role. We're looking for someone who combines deep technical expertise with strong product instincts—someone who understands customers, anticipates edge cases, and builds scalable systems that enable the entire organization to ship with confidence.
You'll set the technical direction from Product Operations establish scalable testing frameworks and processes, champion quality across Engineering, Product, and Customer Success, and leverage AI to transform how testing is performed. You'll have the autonomy to make tooling decisions, introduce new technologies, and continuously improve how we build and release software.
Own the QA Strategy
Lead Automation
Champion Quality
Lead Cross-Functional Quality
Leverage AI to Modernize QA
We're building an AI-first company, and we believe our quality practices should reflect that.
You'll evaluate and implement AI-powered workflows that improve testing efficiency, including generating test cases, maintaining automation, accelerating exploratory testing, analyzing failures, identifying regression risk, and increasing release confidence. We're looking for someone who is constantly exploring how AI can make QA faster, smarter, and more scalable.
Salary Range ($170K- $210K) plus health insurance and equity.
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