We are seeking a senior-level UX Researcher to support an enterprise employee-experience and internal-tooling research portfolio. This is a hands-on individual-contributor role for a researcher who can independently take ambiguous questions from initial scoping through study execution, synthesis, and decision-ready recommendations.
The work will span enterprise product, service, and operational workflows, with particular emphasis on understanding users' jobs, evaluating AI-enabled self-service experiences, and identifying opportunities to improve productivity and support experiences.
Enterprise experience strongly preferred.
## Key Responsibilities
* Independently plan and conduct mixed-method qualitative and quantitative research across priority enterprise initiatives.
* Translate ambiguous business and product questions into clear research plans, appropriate methodologies, and actionable study designs.
* Plan and moderate research evaluating AI-enabled self-service experiences and opportunities to improve employee support.
* Test AI-enabled concepts to understand jobs to be done, adoption barriers, trust, validation behavior, and readiness for broader rollout.
* Develop participant and recruitment strategies, research plans, discussion guides, study materials, and other research artifacts.
* Synthesize qualitative and quantitative findings into concise, decision-ready recommendations for product, service, and operational stakeholders.
* Maintain and extend a jobs-to-be-done framework across multiple initiatives and connect new research findings to broader strategic opportunities.
* Translate jobs-to-be-done insights into product and operational decisions.
* Partner cross-functionally with Product, Design, Engineering, Operations, and Service stakeholders.
* Produce clear research readouts, executive-ready storytelling, and documentation of findings, implications, decisions, and recommended next steps.
* Maintain traceable research artifacts and findings using collaboration, documentation, and research-repository systems.
* Partner with stakeholders to validate tooling and experience decisions before broader rollout.
* Connect individual studies to an ongoing strategic research framework and help identify opportunities to improve self-service, reduce confusion, and streamline workflows.
Qualifications## Must-Have Skills
* 5+ years of hands-on UX research experience at a senior individual-contributor level.
* Demonstrated ability to independently scope, execute, analyze, and synthesize research studies.
* Strong qualitative research-method selection, execution, and analysis skills.
* Strong quantitative research-method selection, execution, and analysis skills.
* Experience researching enterprise internal tools, employee experience, or complex cross-functional workflows.
* Experience working within enterprise product, service, and operational workflows.
* Ability to translate research into clear, decision-ready recommendations for product and operational stakeholders.
* Demonstrated experience developing and applying a jobs-to-be-done framework or comparable strategic research framework across multiple initiatives.
* Demonstrated ability to translate strategic research frameworks into product and operational decisions.
* Strong stakeholder-management experience across Product, Design, Engineering, Operations, and Service teams.
* Strong written and verbal communication skills, including concise research readouts and executive-ready storytelling.
* Proficiency with research platforms supporting participant recruitment, moderated and unmoderated studies, surveys, and synthesis.
* Working knowledge of research repositories and documentation tools.
* Comfort using collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions.
## Nice-to-Have Skills
* Experience researching AI-enabled products, assistants, automation, or emerging-technology adoption.
* Experience researching trust, validation behavior, user reliance, adoption barriers, or rollout readiness for AI-enabled experiences.
* Experience with employee experience, IT service management, self-service support, or digital workplace tools.
* Experience applying or evolving a jobs-to-be-done framework across multiple product or service areas.
* Track record of research influencing enterprise-tooling, AI-adoption, or service-experience decisions.
* Ability to connect individual studies to an ongoing strategic research framework.
* History of translating complex findings into actions that improve self-service, reduce confusion, or streamline workflows.
* Experience partnering with teams through launch and measurement rather than ending involvement at research delivery.
Additional Information## Required Tools & Platforms
* Common research platforms for participant recruitment and study management.
* Platforms supporting moderated and unmoderated research.
* Survey and quantitative research tools.
* Research synthesis tools.
* Research repositories and documentation systems.
* Collaboration and documentation platforms used to maintain traceable research artifacts, findings, and decisions.
## Location, Time & Engagement
* Remote contract engagement.
* Candidates must be based in an approved LATAM location, excluding Mexico.
* Preference for availability aligned with Central Time working hours.
* Full-time allocation of approximately 40 hours per week.
* Current engagement end date: March 31, 2027.
Skills Required
- 5+ years of hands-on UX research experience at a senior individual-contributor level
- Ability to independently scope, execute, analyze, and synthesize research studies
- Strong qualitative research-method selection, execution, and analysis skills
- Strong quantitative research-method selection, execution, and analysis skills
- Experience researching enterprise internal tools, employee experience, or complex cross-functional workflows
- Experience working within enterprise product, service, and operational workflows
- Ability to translate research into clear, decision-ready recommendations for product and operational stakeholders
- Experience developing and applying a jobs-to-be-done framework or comparable strategic research framework across multiple initiatives
- Ability to translate strategic research frameworks into product and operational decisions
- Strong stakeholder-management experience across Product, Design, Engineering, Operations, and Service teams
- Strong written and verbal communication skills, including concise research readouts and executive-ready storytelling
- Proficiency with research platforms supporting participant recruitment, moderated and unmoderated studies, surveys, and synthesis
- Working knowledge of research repositories and documentation tools
- Comfort using collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions
- Enterprise experience
- Experience researching AI-enabled products, assistants, automation, or emerging-technology adoption
- Experience researching trust, validation behavior, user reliance, adoption barriers, or rollout readiness for AI-enabled experiences
- Experience with employee experience, IT service management, self-service support, or digital workplace tools
- Experience applying or evolving a jobs-to-be-done framework across multiple product or service areas
- Track record of research influencing enterprise-tooling, AI-adoption, or service-experience decisions
- Ability to connect individual studies to an ongoing strategic research framework
- History of translating complex findings into actions that improve self-service, reduce confusion, or streamline workflows
- Experience partnering with teams through launch and measurement rather than ending involvement at research delivery
- Ability to work remotely from an approved LATAM location excluding Mexico
- Availability aligned with Central Time working hours
- Full-time availability of approximately 40 hours per week
What We Do
Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.
%20copy.jpg)





