Boostlingo is an AI-first organization transforming the language access and interpretation industry. They are seeking a strategic and hands-on UX/UI Design Researcher to lead research initiatives that influence product decisions and enhance user experiences with AI-powered features.
Responsibilities:
- Lead Product & UX Research (Strategic + Applied)
- Lead qualitative and quantitative research across the product lifecycle, with emphasis on AI-driven features
- Translate ambiguous product and AI concepts into clear research and validation plans
- Conduct research to uncover user needs in complex, AI-assisted workflows
- Test advanced interactions (automation, AI suggestions, feedback loops) to ensure usability and clarity
- Design and analyze experiments (A/B tests, behavioral data) to improve product and AI performance
- Evaluate trust, comprehension, and mental models to ensure AI experiences are intuitive and predictable
- Contribute as a Product Designer Across the Platform
- Design and iterate on AI-powered features, turning insights into effective UX and UI solutions
- Collaborate across products to create cohesive experiences and support platform unification
- Simplify complex, AI-driven workflows to improve usability and clarity
- Partner with Product, Engineering, and Data to design human-in-the-loop systems
- Contribute to scalable design patterns for consistent AI interactions across the platform
- Balance research and design execution to deliver high-quality, user-centered experiences
- Deep Cross-Functional Collaboration (Critical)
- With Product Managers
- Shape product strategy through research-backed insights
- Frame hypotheses and define success metrics
- Influence roadmap prioritization with evidence
- Co-own discovery processes
- With Designers
- Translate insights into actionable UX recommendations
- Partner on prototyping and iterative validation
- Elevate interaction models for AI-powered workflows
- Maintain design systems informed by research insights
- With Engineering
- Ensure research is technically informed and feasible
- Test early-stage prototypes
- Provide usability feedback during build cycles
- Strategic Go To Market Impact
- Connects UX insights to adoption, expansion, and retention
- Understands commercial implications of UX decisions
- Partners in pre- and post-launch research
- With Leadership
- Present insights clearly and persuasively
- Influence high-level strategy
- Elevate research as a core business driver
- Build Research Infrastructure
- Establish scalable research practices in a fast-growing AI environment
- Create user panels, feedback loops, and research repositories
- Define standards for AI experience evaluation
- Embed research rituals into product development
- What Success Looks Like
- AI features ship with validated user confidence and clarity
- Product decisions are grounded in evidence
- Cross-functional teams actively rely on research insights
- Users demonstrate high engagement, trust, and satisfaction
- Research becomes a proactive strategic input — not a reactive step
Requirements:
- 6+ years in UX Research, Design Research, or Human-Computer Interaction
- Experience working in AI-driven, data-heavy, or automation-first products
- Demonstrated success influencing product strategy through research
- Conducted research for AI/ML-powered products
- Studied user trust, automation bias, or explainability
- Worked closely with data science or ML teams
- Evaluated probabilistic outputs or adaptive interfaces
- Researched human-in-the-loop systems
- Delivered efficient UI/UX designs
- Thrive in highly collaborative environments
- Translate research into business language
- Influence without authority
- Navigate ambiguity confidently
- Align technical and non-technical stakeholders
- Bring structured thinking to complex systems
- In-depth interviews
- Contextual inquiry
- Ethnographic research
- Diary studies
- Usability testing
- Concept testing
- Survey design & analysis
- Behavioral data interpretation
- A/B testing frameworks
- Metrics definition for UX success
- Experiment design
- Experience in B2B SaaS, complex workflows, or technical products preferred
- Portfolio demonstrating research translated into actionable design solutions (Strongly Preferred)
- AI-First Organization Experience (Strongly Preferred)
- Experience with AI model evaluation frameworks
- Familiarity with NLP systems, recommendation engines, or predictive analytics
- Experience in enterprise workflow research