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Plaud Inc. is seeking a Software Engineer in Test (SDET) to build quality engineering from the ground up.
You will own test automation across consumer and enterprise platforms, embedding quality into the SDLC and shipping with confidence. This engineering role emphasizes building robust automation, exploring AI/LLM-assisted testing, and driving release readiness for both D2C and enterprise products in a fast-moving, outcome-driven environment.
About Plaud Inc.Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.
About Plaud Inc.Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection.
To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, Linkedin, and YouTube
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
About the Role
Build an end-to-end automation framework covering Plaud's D2C consumer platform (plaud.ai, web.plaud.com) and B2B Teams product. Integrate tests into CI/CD for continuous feedback. You'll also pioneer the use of AI-agentic tools — LLM-driven test generation, agent-based exploratory testing — to scale coverage in ways traditional approaches can't.
Own key KPIs: test coverage, defect escape rate, regression pass rate. Report quality health to engineering leadership and build dashboards that give the team real-time release readiness visibility.
Be the go/no-go voice on release readiness. Lead release sign-off for major launches across consumer and enterprise products.
For the first 3–6 months while the automation framework is being built, cover critical user flows manually and write clear, reproducible bug reports.
Subscription billing, D2C platform, or enterprise SaaS experience