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Principal Tech Program Manager, Sponsored Ads

Amazon

Principal Tech Program Manager, Sponsored Ads

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$177,000 - $239,400

Benefits & Perks

Healthcare

401(k)

Equity

Paid Time Off

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Technical program management

Software development

Systems architecture

Cross-functional leadership

Generative AI

Roadmap strategy

At Amazon Ads, we’re re-imagining the advertising landscape through advanced generative AI technologies and AI agents, revolutionizing how millions of customers discover products and engage with brands online. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.

We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and deliver results to both. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Amazon is looking for a Principal Technical Program Manager to lead the development of an AI agent for ads new ad products that leverage AI to help customers find and discover new products and engage with brands and sellers on Amazon.

In this role, you will manage highly complex technical programs that span multiple VP-level organizations. You will work across teams to align on project requirements, create work back plans, define API contracts, and manage strategic communications with executive stakeholders.

This is a leadership position that requires an ability to earn trust with stakeholders across diverse disciplines including engineering, product, operations, legal, sales, UX, and marketing. You must be a highly-collaborative team player capable of inspiring teams to innovate and deliver results against challenging timelines.

  • Key job responsibilities

  • Work with teams across engineering, product, operations, legal, UX, sales, and marketing to define requirements and deliver complex ad products that leverage generative AI.

  • Lead daily stand-ups, track progress against key milestones, and lead technical conversations.

  • Identify, assess, track and mitigate issues and risks at multiple levels.

  • Communicate effectively with stakeholders at all levels, from early career university hires to senior executives.

  • Represent the team in conversations and debates related to complex decisions, trade-offs, and solutions.

  • Build relationships and manage by influence in a matrix organization to solve complex AI problems against tight timelines.

  • Mentor senior and Principal TPMs and serve as a role model across the organization on TPM best practices (e.g., status reports, workback plans, executive communications).

Basic Qualifications

  • 10+ years of working directly with engineering teams experience
  • 10+ years of technical product or program management experience
  • 10+ years of software development experience
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Experience owning/driving roadmap strategy and definition

Preferred Qualifications

  • 12+ years of hands-on work managing complex technology projects experience
  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules

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 - 177,000.00 - 239,400.00 USD annually

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About Amazon

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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0 reports

$187,921

total / year

Base

-

Stock

-

Bonus

-

$159,732

$216,110

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge