User Researcher

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 usability testing; proven ability to integrate qualitative findings with quantitative signals into a coherent, decision-ready insight.

Track record of influencing product or design decisions directly through research output — not just delivering reports, but driving action.

Meaningful Ownership

An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.

High-Impact Environment

Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.

Cutting-Edge AI Tools for Productivity

Access to best-in-class AI tools, including Gemini, Claude Code, and other frontier AI systems to maximize engineering and execution efficiency.

Execute the Lambda research program 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.