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트렌딩 기업

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채용Amazon

Sr Manager, UX Research, Prime Video Experience Design (PVXD)

Amazon

Sr Manager, UX Research, Prime Video Experience Design (PVXD)

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

2w ago

Are you interested in shaping the future of entertainment? Are you passionate about research that enables new consumer experiences, business capabilities and drives efficiency? Prime Video is changing the way people watch movies and TV and we want you to join us in that mission!

Prime Video is seeking a Sr Manager, UX Research to lead a team of researchers delivering impactful, end-to-end research that illuminates new insights and opportunities to delight our customers. We need a highly motivated, strategic leader who can lead and mentor a world-class research team while driving user-centered design and decision-making across the organization.

As a Sr Manager, UX Research you will be a key strategic partner to product and design leadership, shaping our product strategy through data-driven insights and building research capabilities that scale across major product teams. You will be responsible for developing and executing a comprehensive research strategy for your team, guiding them to perform research that creates insightful findings. You will lead your team in daily interactions with product managers, designers, engineers, applied scientists, data scientists, marketing, and research peers to understand and guide research needs across the organization, ensuring research drives meaningful impact as measured by both incremental changes to product design and development roadmaps; as well as influencing product and design visioning investments.

As an ideal candidate, you have deep experience leading research teams and a proven track record of building research capabilities within organizations. You understand user research methods and best practices at an expert level, and you know how to coach others to develop these skills. You have a nimble, creative and pragmatic approach to research strategy, and you're interested in pushing the boundaries of research while maintaining rigor. You are a mixed methods leader who can guide both qualitative and quantitative research efforts. You easily move between big picture thinking and obsessing about the details. You can provide clear direction while empowering your team to work independently, and you're capable of managing multiple overlapping projects across your team.

  • Key job responsibilities
  • Proven leadership experience managing and mentoring UX researchers, with a track record of developing talent and building high-performing teams
  • End-to-end experience with all aspects of research (study design, recruiting, moderation, analysis, reporting) and the ability to coach others in these areas
  • Strategic thinking skills to develop research roadmaps that align with business objectives and product strategy
  • Experience establishing research operations, processes, best practices that scale across teams and the ability to evangelize research across the organization
  • Hands-on experience with diverse research methods including: lab-based user testing, survey design, remote testing, prototype testing, and iterative testing. Experience managing both quantitative and qualitative research efforts.
  • Strong stakeholder management skills and the ability to influence product decisions at all levels of the organization
  • Ability to balance team workload, prioritize projects, and meet ambitious deadlines while maintaining high-quality standards
  • Experience partnering with data science, analytics, and marketing teams to bring together multiple data sources
  • Excellent communication, presentation, interpersonal and analytical skills; the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization
  • Ability to work within novel research spaces and guide teams through ambiguity

Basic Qualifications

  • 12+ years of proven success leading User Research projects with demonstrated impact
  • 3+ years of people management experience, including hiring, mentoring, and performance management
  • A strong research portfolio demonstrating past work experience, team leadership, and deliverables (e.g., study plans, reports, research strategies)
  • BS in HCDE, Human Factors, Cognitive Psychology, Marketing, or related field

Preferred Qualifications

  • BS in HCDE, Human Factors, Cognitive Psychology, Marketing, or related field
  • Experience building research teams from the ground up or scaling research capabilities within organizations
  • Experience working on AI-powered products or emerging technologies
  • Track record of establishing research operations and democratizing research practices across organizations

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Culver City - 199,200.00 - 269,500.00 USD annually
USA, CA, San Francisco - 219,100.00 - 296,500.00 USD annually
USA, WA, SEATTLE - 199,200.00 - 269,500.00 USD annually

총 조회수

2

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge