info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications: - Bachelor's degree in Human-Computer Interaction, Cognitive Science, Psychology, Information Science, Statistics, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience conducting user research in an applied product or technology setting or 6 years with an advanced degree.
- Experience leading mixed-methods research combining qualitative methods (interviews, usability testing, field studies) with quantitative methods (survey design, behavioral logs analysis, metrics definition).
- Experience analyzing quantitative and behavioral data using statistical or scripting tools such as Python, R, or SQL.
Preferred qualifications: - Master's degree or PhD in Human-Computer Interaction, Cognitive Psychology, Information Science, Statistics, Computer Science, or a related field.
- Experience researching complex technical domains such as AI/ML products, data systems, developer APIs, or technical infrastructure.
- Experience defining and tracking user-centered
Key Performance Indicators (KPIs) and Product Health indicators aligned with Critical User Journeys. - Experience partnering with cross-functional engineering, data science, and product leadership to translate mixed-methods insights into product and platform strategy.
Responsibilities - Design and execute end-to-end mixed-methods studies combining qualitative methods (in-depth interviews, workflow observations, usability studies, concept evaluations) with quantitative methods (surveys, telemetry, large-scale behavioral logs).
- Define, instrument, and track user-centered
key performance indicators and product health indicators, triangulating qualitative workflow pain points with quantitative impact attribution across AI data pipelines. - Build and use agent-assisted pipelines, synthesis workflows, and analysis scripts to pair unstructured qualitative feedback with operational and telemetry logs.
- Investigate developer and data-practitioner mental models alongside system performance signals to diagnose and reduce user friction, efficiency losses, and cognitive load.
- Partner with Product Managers, Engineers, UX Designers, Data Scientists, and ML researchers to translate mixed-methods evidence into product direction.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $274000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
