User Researcher
Plaud
| Company | Plaud |
| Category | Design |
| Location | San Francisco |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 23 Jul 2026 |
| Last verified | 7 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
About Plaud Inc.
Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,000,000 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 http://www.plaud.ai/https://www.plaud.ai and follow along on Instagram https://www.instagram.com/plaud_official/, https://twitter.com/PLAUDAI%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5C%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5CX https://twitter.com/PLAUDAI, Facebook https://www.facebook.com/plaudai, LinkedIn https://www.linkedin.com/company/plaudai/?viewAsMember=true, and YouTube https://www.youtube.com/@PLAUDAI.
Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
- Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
- Define the next-gen paradigm for human-AI interaction.
- Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
- Work with passionate teammates who value innovation, collaboration, and customer success.
- Grow your career in a culture that champions continuous learning and fast career development.
- Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
What you will do
- Execute research programs end-to-end: design the study plan, recruit participants, conduct in-context sessions (contextual inquiry, ergonomic evaluation, form factor assessment), synthesize findings, and deliver insights that directly inform product direction decisions on the timeline committed to Product.
- Run mixed-methods research pairing qualitative primary research (in-depth interviews, diary studies, usability testing) with quantitative signals (survey design, significance testing, driver analysis) to explain the 'why' behind behavioral data and validate whether product directions match real user needs.
- Benchmark Plaud's hardware research methods against SOTA practice at leading consumer electronics companies; identify methodology gaps and proactively close them.
- Manage a prioritized research roadmap across Product, Growth, and Marketing — shifting the team from reactive request fulfillment toward proactive identification of high-stakes decision points that need research input before they are made.
- Translate research findings into clear, decision-ready outputs for cross-functional stakeholders; track whether insights are acted on and follow through to confirm impact on product or growth decisions.
Skills, qualifications and experience we look for
- Hands-on experience researching hardware products or human-hardware interaction — consumer electronics, wearables, IoT, or comparable physical products — including in-context and ergonomic evaluation methods; this is a hard filter, not a nice-to-have.
- Demonstrated end-to-end ownership of user research studies from design through delivery, without requiring direction on methodology selection or study execution.
- Solid quantitative skillset: survey design, statistical analysis (significance testing, regression, driver analysis), and proficiency in SPSS, Python, or R.
- Strong command of qualitative methods: in-depth interviews, contextual inquiry, diary studies, and usabi