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San Francisco, California, United States
Onsite
This role owns quality for LOIS for Word, Filevine's AI-powered legal drafting product. You'll help build and own the QA function: the test strategy, the process, and the automation. You'll work at the intersection of legal AI and product quality, evaluating everything from AI output accuracy to UI behavior across the product. A big part of this role is moving quality upstream, so it's built into how features are planned and shipped from the start.
The ideal candidate has 2+ years of QA experience, brings a sharp eye for both functional bugs and AI quality issues, is comfortable building from scratch in ambiguity, and gets genuinely uncomfortable shipping something they haven't tried to break.
Define and own the test strategy, process, and QA playbook for the product
Move QA upstream by partnering with product and engineering early, so test plans are ready before features ship
Evaluate AI output quality across dimensions like accuracy, citation reliability, and appropriately scoped reasoning
Design and maintain evaluation sets that account for non-deterministic output and catch regressions over time
Test how AI-generated edits apply to documents, including accuracy and formatting fidelity across document structures
Build automated guardrails integrated into CI/CD that cover critical flows
Write structured, reproducible bug reports
Partner with legal domain experts to understand how different customer types use the product, and translate that into test coverage
Approach QA with a product and design mindset. If something works but could be better, we want to hear it
Compare behavior across product surfaces and document discrepancies
2+ years of QA experience, including ownership of test strategy for a product or major feature area
Track record of building QA process and automation from scratch in a fast-moving environment
Comfort operating in high ambiguity, where features ship quickly and you figure out how to test them fast
Strong analytical and problem-solving skills, with attention to both functional correctness and AI output quality
Ability to reason about non-deterministic systems and define what "correct" means when there's no single right answer
Excellent written communication, with the ability to write clear, concise, actionable bug reports backed by evidence
Experience with bug tracking tools and test management workflows
Experience testing AI or LLM-based products, especially for output accuracy and eval design
CI/CD experience setting up pipelines and release gates for automated tests
A design or UX sensibility, with an eye for where product workflows could be smoother
Prior experience in legal technology or comfort reading legal contracts
Programming experience beyond test automation