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UX Researcher, E-Commerce - USDS

TikTok

UX Researcher, E-Commerce - USDS

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$97,280 - $211,787

Benefits & Perks

Design tool subscriptions

Flexible work schedule

Conference budget

Health benefits

Parental leave

Healthcare

Parental Leave

Required Skills

Principle

Figma

Sketch

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile

Responsibilities

About the Team:

This team provides strategic support to multiple business lines and helps these businesses grow sustainably. We are committed to becoming the most trustworthy strategy partner of business teams, empowering business growth at different stages of development.

Tik Tok is home to a new kind of shopping culture. Community Commerce blends community, entertainment, and shopping that makes product discovery so unique on Tik Tok. The Tik Tok community is having a catalytic and culture-defining impact on modern retail. We are looking for passionate and talented people to join our ecommerce research team.

Responsibilities:

  • Partner with designers and cross-functional teams (product, engineering, marketing) to deeply understand the needs, motivations, and pain points of E-commerce consumers in the North American market and other global markets, translating insights into both UX research findings and design directions.
  • Work with stakeholders to identify strategic questions that inform the E-commerce experience, balancing research objectives with design opportunities to shape the end-to-end consumer journey.
  • Own the design-and-research planning process: select and tailor research methods to the question, timeline, and resourcing, and simultaneously translate findings into design concepts, workflows, and prototype.
  • Design and conduct research (mainly quantitative and some qualitative) and synthesize findings into practical, actionable insights and design recommendations that influence product and experience strategy.
  • Initiate foundational/exploratory research and maintain long-term trackers, benchmarking against relevant industries, to surface long-term possibilities and inform future design directions.
  • Support and collaborate with team members to provide technical support on quantitative workstreams, including robust survey design, end-to-end data processing, and statistical analysis.

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  • Measure the impact of design changes on user behavior and attitudes over time, using data-driven methods to explain the "why" behind outcomes and to iterate on the experience.

Qualifications:

Minimum Qualifications:

  • Minimum 4+ years of combined experience in UX research or Data Science in E-commerce or tech. Demonstrated ability to deliver end-to-end consumer experience work (strategy, design, validation, and measurement).
  • Experience analyzing data with statistical tools/languages (SQL, Python, R, SPSS) and translating insights into design actions; familiarity with analytics/experiment platforms to measure impact.
  • Portfolio or case studies demonstrating end-to-end consumer experience design work (research-informed strategy, iterations, and measurable design outcomes).

Preferred Qualifications:

  • Advanced degree (Master's or PhD preferred) in a quantitative-heavy field (e.g., Statistics, Econometrics, or Data Science, Sociology, Social Psychology, Computer Science etc.) with a demonstrated ability to apply statistical methodologies to human behavior and a strong interest in User Research.
  • Proficiency in quantitative methods and qualitative methods with the ability to design research that informs both discovery and concrete design decisions; comfortable maintaining and building longitudinal surveys and conducting interviews and design critiques in US/global markets.
  • Strong storytelling and communication skills to influence partners and stakeholders, with the ability to articulate research findings and design rationale to non-technical audiences.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $97280 - $211787 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.

For Los Angeles County (unincorporated) Candidates:

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 sound judgment.

Client-provided location(s): San Jose, CA

Job ID: Tik Tok-7597530229817952565

Employment Type: OTHER

Posted: 2026-01-21T19:57:44
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures