UX Researcher - Global Monetization Product and Technology

Location:

Seattle

Employment Type:

Regular

Job Code:

A177838

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The Tik Tok Monetization User Research team serves as the gateway to Tik Tok's business services, helping clients seamlessly connect with their audiences and unlock their brand's full potential. Our mission is to inspire and empower clients to achieve their goals, explore new opportunities, and create value through Tik Tok.

• Lead strategic research to identify novel product opportunities and conduct independent research on multiple aspects of products and experiences within the Global monetization space.
• Collect and analyze user behavior through lab studies, field visits, ethnography, surveys, benchmark studies, server logs and online experiments (A/B testing).
• Work with Designers, Product Managers, Engineers and other UXRs to prioritize research opportunities in a fast-paced, rapidly changing environment.
• Understand and incorporate complex technical and business requirements into research.
• Advocate research findings to diverse audiences through written reports and in-person presentations.

• Minimum Qualification(s)- Bachelor's degree with 5+ years of relevant experience within user experience, applied research setting and/or product research and development, or a Master's degree and 3+ years of relevant experience, or a PhD with 1+ years of relevant experience.
• Proven experience in both qualitative and quantitative research methods, including in-depth interviews, focus groups, concept testing, usability testing, surveys, and data analysis.
• Ability to work independently and autonomously, managing multiple projects simultaneously in a fast-changing environment.
• Excellent communication skills, with the ability to translate research findings into strategic narratives and influence cross-functional teams and stakeholders.
• Preferred Qualification(s)- Advanced degree (Master's or Ph.D.) in a relevant field such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics.
• Proficiency in statistical analysis and data analysis tools such as StQL, Python, R, SPSS, or equivalent.
• Experience working in a global organization and collaborating across diverse teams and time zones.
• Strong understanding of user-centered design principles and experience partnering with designers, product managers, and engineers.
• Proven ability to influence product strategy through high-quality, data-driven research.
• Familiarity with the social media industry or content creation platforms.

The base salary range for this position in the selected city is $102600 - $143640 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising…