Collate-posted about 1 month ago
Full-time • Mid Level
San Francisco, CA
1-10 employees

Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. We’re looking for an experienced QA Tester who’s passionate about ensuring product quality in fast-moving environments where AI meets science. You’ll work closely with our engineering, product, and science teams to design and execute test plans for new features, data pipelines, and AI-driven workflows. This role requires hands-on testing expertise and a strong understanding of how to validate systems that rely on large language models (LLMs) and life science data.

  • Develop and execute manual test plans, test cases, and regression suites across Collate’s web and AI-based workflows
  • Collaborate with engineers and product managers to identify bugs early and ensure high-quality product releases
  • Test AI-driven outputs — evaluating model accuracy, edge cases, and failure points
  • Validate integrations between data systems, APIs, and AI components
  • Maintain documentation of testing results and participate in QA process improvements
  • Partner with the science team to understand and validate workflows related to experimental data and life sciences
  • Cross collaborate with Product, UX, Operations, Software teams
  • 5+ years of experience in software QA (manual testing required; automation a plus)
  • Experience testing AI- or ML-driven systems (familiarity with model evaluation, hallucination, or prompt consistency)
  • Background or exposure to life sciences, biotech, or healthcare applications
  • Strong understanding of software QA methodologies, tools, and processes
  • Experience working in startup or fast-paced product environments
  • Excellent analytical, communication, and documentation skills
  • Design and run automated tests using frameworks like Cypress, Playwright, or similar
  • Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
  • Ownership: Shape both our product experience and our engineering culture from the start.
  • Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders.
  • Upside: Join a company early enough to have meaningful equity and career-defining impact.
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