User Researcher - B2B
- Location
- San Francisco, CA
- Employment
- Full Time
- Work model
- Remote
- Level
- Mid
- Posted
Skills
About this role
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 . 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 $300M 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
Own the B2B research agenda end-to-end: design and run interview-heavy studies with enterprise buyers, IT administrators, and shared-domain users to surface non-conversion blockers, admin reactions to the 4.0 Credit system, and feature requirements (collaboration, integrations) that justify enterprise adoption — then translate findings directly into prioritized product requirements for the PM team. Build and sustain a dedicated B2B research panel: source, recruit, and maintain an ongoing network of enterprise decision-makers and IT admins to support a continuous, low-friction research cadence rather than one-off studies. Establish the monthly Insights Cadence: set the research calendar based on the highest-priority product and growth questions across B2B and consumer monetization; deliver structured, decision-ready reports to PM, Growth, and leadership stakeholders on a recurring basis — benchmarking methodology and output quality against research practices at leading SaaS companies (e.g. Figma, Notion, Atlassian); identifying gaps and drive continuous improvements in user research. Partner with the Growth and Monetization team on consumer research: design and execute pricing and willingness-to-pay studies, identify friction points in the consumer-to-team upgrade funnel, and provide the qualitative context that backend data alone cannot supply. Use AI to accelerate synthesis and scale output: apply LLMs, automated tagging, and scripting to compress the time from raw data to insight — freeing capacity for higher-judgment work like moderation, cross-functional alignment, and strategic framing. Skills, qualifications and experience we look for 3-5 years of mixed-methods user research experience with at least 3 years dedicated to B2B SaaS, enterprise software, or productivity tools; must have independently owned studies from recruitment through synthesis to stakeholder delivery — not supported execution. Proven B2B panel development: demonstrated track record of sourcing and maintaining an ongoing research network of enterprise buyers, IT administrators, or technical decision-makers (not one-off participant recruitment). Deep qualitative expertise in interview-heavy methods: contextual inquiry, field research, executive moderation, and usability testing; must be capable of moderating C-suite or IT-admin sessions