Staff UX Researcher, Research Recruiting & ResearchOps

Our Company:

At [REDACTED], we believe that people thrive when empowered with better information. [REDACTED] Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With [REDACTED], organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. [REDACTED] delivers real business value with AI.

What Youll Do

Lead high-impact UX research

• Plan, conduct, and synthesize mixed-method research including interviews, usability testing, surveys, diary studies, NPS/CSAT analysis, workshops, concept testing, and prototype evaluations.
• Deliver rapid discovery studies in 12 week cycles and deeper strategic studies over 412 weeks.
• Translate findings into decision-focused outputs: prioritized user problems, product opportunities, prototype recommendations, success metrics, and risks to validate.
• Partner closely with Product Design, PM, Engineering, Data/Analytics, OCTO Research, and platform teams to shape roadmap direction and measure post-launch impact.

Build research recruiting and participant operations

• Build, segment, and maintain a high-quality research participant panel across priority personas, markets, customer types, product usage patterns, and accessibility needs.
• Create and improve recruiting scripts, screeners, consent flows, invite templates, incentive processes, scheduling workflows, and participant hygiene routines.
• Implement quality controls to reduce poor-fit participants, duplicate participants, AI-assisted screener gaming, no-shows, and recruiting fraud. Modern participant recruitment increasingly requires strong screeners, clear incentives, quality verification, and awareness of AI-enabled participant behavior.
• Track recruiting metrics such as fill rate, response rate, qualification rate, no-show rate, time-to-recruit, cost per engaged participant, and participant quality.

Stand up ResearchOps infrastructure

• Configure and maintain the research repository, including folder structure, taxonomy, tags, templates, saved searches, access controls, and publishing standards. Research repositories should make studies, artifacts, transcripts, insights, and evidence searchable, traceable, reusable, and accessible across product teams.
• Implement a canonical study-ID model and metadata mapping across tools such as Dovetail, Transcend, Pendo, Jira, and related systems.
• Automate and document the research lifecycle from intake triage recruiting scheduling consent data capture synthesis repository ingest insight socialization product follow-through.
• Create SOPs, playbooks, and reusable templates for screeners, moderator guides, consent, incentives, transcription, redaction, synthesis, repository publishing, and stakeholder readouts.

Introduce responsible AI into research workflows

• Define practical AI use cases for research planning, screener drafting, interview-guide generation, transcript cleanup, initial coding, theme clustering, insight summarization, repository search, and reporting. AI is increasingly used in UXR for study planning, screener development, synthesis, summarization, tagging, and refinement, but still requires human review and guardrails.
• Establish standards for human validation of AI-assisted summaries, themes, tags, and recommendations.
• Partner with Legal, Security, Data, and Privacy teams to ensure participant data is handled responsibly, including consent, minimization, redaction, retention, and access controls. Indias Digital Personal Data Protection Act emphasizes notice, consent, lawful processing, data security, and individual rights for digital personal data.

First 15-Month Deliverables

• Deliver 1220 rapid studies and 46 in-depth strategic studies tied to product and platform decisions.
• Launch and scale a vetted participant panel to 1,200+ contacts across priority segments.
• Stand up a fully configured research repository with taxonomy, templates, access controls, and initial studies ingested.
• Launch an intake and triage workflow that supports request routing, scheduling, recruiting, and repository ingest.
• Deliver a canonical study-ID convention and metadata mapping across Dovetail Transcend Pendo Jira.
• Publish a complete SOP library and research playbook for recruiting, consent, incentives, moderation, synthesis, AI use, and insight sharing.
• Produce quarterly research impact reports linking insights to product decisions, features launched, rework avoided, risks reduced, and metric improvements.

What Success Looks Like

• Product teams make faster, more confident decisions using trusted research evidence.
• Recruiting becomes faster, higher-quality, and more predictable.
• Research findings are searchable, reusable, and connected to product outcomes.
• Designers, PMs, and .