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Sr. Manager - PMT, Prime Video Personalization & Discovery

Amazon

Sr. Manager - PMT, Prime Video Personalization & Discovery

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

The Prime Video Personalization & Discovery team is seeking a talented Senior Manager of Product Management Tech with Analytics and Data Science experience to help ensure we are delivering delightful experiences to all cohorts of customers worldwide.

You will own a substantial portion of the strategy and vision for Analytics and Data Science, and drive the roadmap in these areas to deliver on that vision. This role is inherently cross-functional; you will work with others in Product, Engineering, Science, Design, Operations, Finance, and Executive teams to optimize the Prime Video Personalization & Discovery customer experience.

The ideal candidate should have thrived and succeeded in hiring and developing teams of 10-15 people and delivering broadly adopted Analytics and Data Science products or services in a high growth environment in a Streaming Media or related field. You should be a strong leader who can prioritize well, communicate clearly and compellingly, and understand how to drive a high level of focus and excellence. You should have keen business sense and also have developed a deep understanding of technology. Qualified candidates have experience defining products, mapping requirements to engineering functional specifications, leading large cross functional and cross organizational efforts, and successfully delivering complex products and services at high scale.

Basic Qualifications

  • 6+ years of team management experience
  • 10+ years of end to end product delivery experience
  • 10+ years of technical product or program management experience
  • Bachelor's degree
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience leading engineering discussions around technology decisions and strategy related to a product
  • Minimum 2 years leading teams of 10-15 people including building the team
  • Minimum 3 years of experience in a Media Tech space including Streaming Personalization, Marketing Tech, Ad Tech

Preferred Qualifications

  • Experience delivering consumer software products and services in a high growth environment
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • MBA
  • Experience in building analytic or scientific data products or solutions
  • Experience building AI-enabled features and capabilities

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

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, WA, Seattle - 197,900.00 - 267,800.00 USD annually

총 조회수

0

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

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

Junior/L3 · Warehouse

1개 리포트

$30,509

총 연봉

기본급

$23,546

주식

-

보너스

-

$30,509

$30,509

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