As a Mid-Level UX Researcher, you will conduct qualitative and quantitative research, analyze data, and collaborate with teams to inform product design and strategy.
1. General
- Job Title: Mid-Level UX Researcher
- Type: Contract
- Level: Mid-Level
- Location: West Coast (PST)
- Workplace: Fully Remote
- Duration: ASAP to June 30th, 2024, with strong potential for extension.
2. About the job
- How do you gather insights to inform product design and strategy?
- Can you conduct both qualitative and quantitative research activities effectively?
- How do you collaborate with cross-functional teams to address user needs and challenges?
- Can you analyze research data and present findings to influence product direction?
- Are you passionate about learning new technologies and understanding user needs?
Do such questions intrigue you?
3. Summary of the opportunity
- Client Overview: We are hiring for a leading technology company in the Data Cloud Studio.
- Role Summary: As a Mid-Level UX Researcher, you will work closely with senior team members in the UX Research team to gather insights, inform product design, and contribute to the growth of cloud data suite products and services. Your expertise in both qualitative and quantitative research methods will be crucial in identifying emerging patterns, user insights, and new product opportunities.
4. What are the key responsibilities?
- Conduct a mixture of qualitative and quantitative research activities, including ethnographic explorations, usability studies, interviews, and surveys.
- Collaborate with cross-functional teams to address user needs and challenges.
- Analyze research data and present findings to influence product design and direction.
- Foster relationships with Product Managers and design teams to stay close to stakeholders and their challenges.
- Design and execute on a research program that aligns with organization-wide priorities and success criteria.
5. What experience are we looking for to drive success?
- MUST-Have Skills and Qualifications:
- Minimum 2+ years experience with Markov chains, using computational notebooks.
- Minimum 3+ years experience with Quantitative Research skills.
- Minimum 2+ years experience with analyzing telemetry/user behavior through statistical methods, specifically regression analysis.
- PHD degree is required.
- 2-4 years related experience.
- Preferred Skills and Qualifications:
- Advanced degree in Social Science or Human-Computer Interaction with an undergraduate in a technical field.
- Proven storytelling and communication skills across various stakeholders.
- Experience conducting research globally and working with global stakeholders.
6. So calling all top performers
- Exciting Opportunity: This role presents an exciting opportunity to contribute to impactful projects and initiatives while honing your skills in UX research within a dynamic technology company.
- Competitive Compensation: Competitive hourly rate offered.
- Application Process: To apply for this role, please email your resume, highlighting your relevant experience and qualifications. Please ensure that your application provides accurate information.
- About this posting: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment.
- Equal Employment Opportunity: We are committed to diversity and inclusion, and we encourage diverse candidates to apply. We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We are also committed to providing accessibility and accommodation for individuals with disabilities.
In conclusion: Don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! Please feel free to drop in your resume at [email protected]
Similar Jobs
4 Minutes Ago
Financial Services
Provide client service and operational support to Private Client Advisors: process account openings, money movements, trades; maintain client relationships; prepare performance reports; support KYC, compliance, and risk management; assist with wealth planning, referrals, and lead generation.
Financial Services
Lead LLM inference optimization: benchmark production workloads, run quantization and speculative decoding experiments, design GPU efficiency scorecards, evaluate inference engines, collaborate on disaggregated serving and KV-cache optimizations, run GPU chaos engineering, and govern agentic AI-enabled engineering workflows for safe, scalable deployment.
Top Skills:
Async Tensor ParallelismAwqAWSDcgmDisaggregated Prefill/DecodeEksFp8GptqGpuGuidellmInt4Int8KubernetesKv-CacheLlm-DManaged Inference ServicesMl ObservabilityNvmlPrefix CachingSglangSpeculative DecodingTensorrt-LlmVllmXid
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Lead executive-level customer relationships to drive adoption of PagerDuty products, deliver measurable business value, and mitigate risk. Create and execute adoption and ROI plans, guide process/people change, coordinate cross-functional post-sales teams, and facilitate reviews, trainings, and strategic engagements. Forecast renewals and expansion while representing customer needs to product and sales teams. Travel up to 25% for in-person meetings.
Top Skills:
Ai/MlAutomationCloudDevOpsIt MonitoringPagerduty
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
