Principal TPM, AWS UX Design Team

📍 Job Overview

Job Title: Principal TPM, AWS UX Design Team

Company: Amazon

Location: Seattle, Washington, United States / Santa Clara, California, United States

Job Type: Full-Time

Category: Technical Program Management / Product Management (Operations Focus)

Date Posted: May 28, 2026

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Drive the strategic direction and execution of Generative AI UX products for AWS customers, transforming the design landscape.

• Lead the development of a shared platform and AI-powered tools that leverage Design Systems to accelerate design, development, and validation workflows.

• Manage complex technology projects across cross-functional teams, establishing robust processes and coordinating release schedules to ensure efficient delivery of innovative UX solutions.

• Champion design-driven development and democratize innovation for all builders by delivering cutting-edge AI UX capabilities.

📝 Enhancement Note: This role blends Technical Program Management (TPM) with Product Management responsibilities, focusing heavily on the operational aspects of bringing advanced AI UX products to market. The emphasis is on execution, process building, and cross-functional coordination within a large-scale technology organization, particularly within the AWS ecosystem.

📈 Primary Responsibilities

• Spearhead the end-to-end program management for Generative AI UX initiatives, from ideation and roadmap definition to execution and launch.

• Define and implement scalable processes for managing complex, cross-functional technology projects, ensuring alignment across engineering, design, and product teams.

• Coordinate release schedules and manage dependencies to ensure timely and successful product launches, optimizing for efficiency and operational excellence.

• Collaborate closely with engineering and design teams to translate customer needs and business requirements into actionable product specifications and technical roadmaps.

• Drive the adoption and advancement of Design Systems and AI-powered tools to enhance the design and development workflows for AWS customers.

• Identify and mitigate program risks, proactively addressing challenges to maintain project momentum and deliver on strategic objectives.

• Foster a culture of innovation and continuous improvement within the team, promoting best practices in program management and product development.

• Act as a key liaison between technical teams and stakeholders, effectively communicating progress, risks, and strategic decisions.

📝 Enhancement Note: The core responsibilities highlight a significant operational focus, emphasizing process building, release coordination, and cross-functional program management. This TPM role is expected to operationalize the development and delivery of complex AI UX products.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience is typically expected for roles of this caliber within Amazon.

Experience: A minimum of 10 years of engineering experience is required, with at least 7 years in technical product or program management. This includes a minimum of 5 years of hands-on software development experience. A strong track record of managing complex technology projects across cross-functional teams, building sustainable processes, and coordinating release schedules is essential.

Required Skills:

• Extensive experience in Technical Program Management (TPM) or Product Management with a strong technical foundation.

• Proven ability to manage complex, large-scale technology programs from inception to delivery.

• Deep understanding of software development lifecycles (SDLC) and agile methodologies.

• Expertise in building and optimizing operational processes for engineering and product development.

• Strong experience in coordinating release schedules and managing dependencies across multiple teams.

• Excellent cross-functional leadership and communication skills, with the ability to influence stakeholders at all levels.

• Demonstrated experience in managing programs involving AI, machine learning, or UX design technologies.

Preferred Skills:

• 8+ years of hands-on work managing complex technology projects.

• Experience specifically within the AWS ecosystem or cloud computing environments.

• Familiarity with Generative AI concepts, UX design principles, and Design Systems.

• Experience with AI-powered tools and their application in design and development workflows.

• Experience in a fast-paced, high-growth technology environment.

• Ability to think strategically and translate business objectives into technical execution plans.

📝 Enhancement Note: The experience requirements are substantial, indicating a need for seasoned professionals who can operate independently and drive significant initiatives. The emphasis on "building processes" and "coordinating release schedules" underscores the operational rigor expected from this Principal TPM role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate experience in managing the full lifecycle of complex technology projects, with case studies highlighting successful product launches.

• Showcase examples of developing and implementing operational processes that improved efficiency, scalability, or quality in software development.

• Provide evidence of coordinating release schedules and managing dependencies across multiple engineering and product teams, detailing the methodologies used.

• Include projects where you have driven the adoption or improvement of technical systems, tools, or platforms, such as Design Systems or AI-powered tools.

Process Documentation:

• Examples of documented workflows for program planning, execution, and monitoring in complex software development environments.

• Case studies detailing the implementation of new processes or the optimization of existing ones to enhance cross-functional collaboration and release management.

• Evidence of creating and maintaining project documentation, including roadmaps, status reports, and risk registers.

• Demonstrations of how you have established metrics and reporting mechanisms to track the performance and health of technical programs.

📝 Enhancement Note: While a formal portfolio isn't explicitly requested, candidates are expected to demonstrate their operational expertise through their experience and potentially through interview discussions. The emphasis on "building processes" and "coordinating release schedules" means candidates should be prepared to discuss specific examples of their process-oriented work.

💵 Compensation & Benefits

Salary Range:

• Seattle, Washington: $177,000 - $239,400 USD annually

• Santa Clara, California: $203,500 - $275,300 USD annually

These ranges are provided as a guideline. The final compensation will be determined based on factors including, but not limited to, the candidate's experience, qualifications, and the specific location of employment.

Benefits:

• Sign-on payments

• Restricted stock units (RSUs)

• Comprehensive health insurance (medical, dental, vision, prescription)

• Basic Life & AD&D insurance with options for supplemental life plans

• Employee Assistance Program (EAP)

• Mental Health Support

• Medical Advice Line

• Flexible Spending Accounts

• Adoption and Surrogacy Reimbursement coverage

• 401(k) matching

• Paid time off

• Parental leave

Working Hours: A standard 40-hour work week is typical, with the expectation of flexibility to meet project deadlines and operational needs, particularly given the global nature of AWS and potential for on-call responsibilities.

📝 Enhancement Note: The salary ranges provided are specific to the listed US locations and reflect Amazon's compensation structure for this level of role. The inclusion of RSUs and sign-on payments is a significant part of the total compensation package. The benefits list is extensive and comprehensive, typical of large technology companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce, Cloud Computing, Artificial Intelligence, Digital Streaming, Consumer Electronics. Amazon operates across a diverse range of industries, with AWS being a leader in cloud infrastructure and services.

Company Size: Amazon is a massive global corporation, employing over 1.5 million people worldwide. This scale means operations professionals can expect structured environments with established processes, but also opportunities to influence and innovate within specific teams.

Founded: Amazon was founded in 1994 by Jeff Bezos. Its long history is marked by a relentless focus on customer obsession, innovation, and operational efficiency.

Team Structure:

• The AWS UX Design Team is likely a specialized group within the broader AWS organization, focused on enhancing the user experience of AWS products and services.

• As a Principal TPM, you will likely report to a Director or Senior Manager within the AWS UX Design or a related Engineering/Product organization.

Methodology:

• Data-driven decision-making is a cornerstone of Amazon's culture, heavily influencing how products are developed and operations are managed.

• A strong emphasis on operational excellence, process optimization, and efficiency is expected.

• Agile methodologies are widely adopted, but often adapted to fit the scale and complexity of Amazon's operations.

• A focus on long-term thinking and customer obsession guides strategic planning and execution.

Company Website: https://www.amazon.com, https://aws.amazon.com/

📝 Enhancement Note: Amazon's culture is known for its demanding yet rewarding environment, emphasizing high standards, ownership, and a data-driven approach. Understanding the "Leadership Principles" is crucial for success. The scale of the company means operational roles are critical for ensuring smooth delivery and customer satisfaction.

📈 Career & Growth Analysis

Operations Career Level: This is a Principal Technical Program Manager role, indicating a senior leadership position. It requires extensive experience and the ability to operate with a high degree of autonomy, driving complex, strategic initiatives. The role is focused on enabling the successful delivery of cutting-edge AI UX products through robust program management and operational excellence.

Reporting Structure: You will likely report to a senior leader within the AWS UX Design or a related product/engineering division. You will manage programs that involve multiple cross-functional teams, but the role itself is an individual contributor focused on program execution and process improvement, rather than direct people management.

Operations Impact: The operations impact of this role is significant. By shaping Generative AI UX products and optimizing development workflows, you will directly influence how millions of AWS customers design and build. Your work will enable faster innovation, improved developer productivity, and a better overall user experience for AWS services, contributing to customer retention and growth.

Growth Opportunities:

• Technical Leadership: Opportunity to deepen expertise in Generative AI, UX design, and cloud technologies, becoming a subject matter expert.

• Strategic Influence: Influence the product roadmap and strategic direction of AWS UX design tools and platforms.

• Cross-Functional Mastery: Gain experience managing highly complex, global programs across diverse technical domains.

• Career Progression: Potential for advancement into Senior Principal TPM roles, Director of Program Management, or transitioning into senior Product Management or Engineering leadership positions within AWS.

• Mentorship: Opportunities to mentor junior TPMs and contribute to the development of program management best practices within Amazon.

📝 Enhancement Note: The "Principal" title signifies a senior individual contributor role with significant influence. Growth opportunities are typically geared towards increasing scope, strategic impact, and technical/leadership depth within the Amazon ecosystem.

🌐 Work Environment

Office Type: This is an on-site role, indicating a traditional office environment. Amazon offices are typically modern, professional, and equipped with the necessary technology for collaboration.

Office Location(s):

• Seattle, Washington, United States

• Santa Clara, California, United States

These locations are major tech hubs, offering a vibrant ecosystem for professionals.

Workspace Context:

• Collaborative Environment: Expect a dynamic and collaborative workspace where teamwork is essential for success. Open office layouts are common, encouraging interaction.

• Technology & Tools: Access to state-of-the-art hardware, software, and internal Amazon tools necessary for program management, development, and communication.

• Team Interaction: Frequent interactions with a diverse group of engineers, designers, product managers, and other TPMs, fostering a culture of shared learning and problem-solving.

Work Schedule: While a standard 40-hour work week is the baseline, the demands of managing complex, global technology projects often require flexibility. This may include occasional work outside of standard hours to align with different time zones or meet critical deadlines.

📝 Enhancement Note: As an on-site role, candidates should be prepared for a typical corporate office environment with a strong emphasis on collaboration and access to company-provided resources.

📄 Application & Portfolio Review Process

Interview Process: The Amazon interview process is rigorous and typically involves multiple stages:

1. Online Application & Screening: Initial review of resume and qualifications.

2. Recruiter Screen: A brief call to assess basic qualifications and cultural fit.

3. Hiring Manager/Team Interview(s): In-depth interviews focusing on technical skills, program management experience, and behavioral questions aligned with Amazon's Leadership Principles. Expect technical deep dives and scenario-based questions.

4. Bar Raiser Interview: A final interview conducted by an experienced Amazonian from outside the hiring team, focused on assessing long-term potential and ensuring the candidate meets Amazon's high bar.

5. Offer: Extension of an offer if successful.

Portfolio Review Tips:

• Quantify Achievements: For each project or process you discuss, provide specific metrics demonstrating your impact (e.g., reduced release time by X%, improved team efficiency by Y%, successfully launched Z products).

• Process Focus: Be prepared to detail the processes you built or optimized. Explain the problem, your solution, the implementation, and the outcomes. Use the STAR method (Situation, Task, Action, Result) for structuring your responses.

• Leadership Principles: Weave examples of Amazon's Leadership Principles into your responses. Think about how you demonstrate "Customer Obsession," "Ownership," "Bias for Action," "Dive Deep," "Insist on the Highest Standards," etc.

• Technical Acumen: Be ready to discuss technical challenges and solutions, showing your understanding of software development and program management in a technical context.

• Generative AI/UX Context: If possible, highlight any experience or understanding of Generative AI, UX design, or Design Systems to show relevance to the role's focus.

Challenge Preparation:

• Scenario-Based Questions: Expect hypothetical scenarios related to program challenges, cross-functional conflicts, or technical roadblocks. Prepare how you would approach these situations using your operational expertise.

• Deep Dive Questions: Be ready for "Dive Deep" questions where interviewers will probe into the details of your past projects and decisions. Know your resume inside and out.

• Process Design: You might be asked to outline how you would approach building a process for a specific scenario (e.g., managing releases for a new AI feature).

📝 Enhancement Note: Amazon's interview process is known for its intensity and focus on data-driven answers and adherence to Leadership Principles. Candidates should thoroughly prepare by reviewing the principles and practicing their responses with specific, quantifiable examples.

🛠 Tools & Technology Stack

Primary Tools:

• Project & Program Management: JIRA, Confluence, Asana, Trello (or internal Amazon equivalents like "ServiceNow" or custom tools).

• Documentation: Wiki platforms, Google Workspace, Microsoft Office Suite.

• Communication: Slack, Microsoft Teams, Amazon Chime.

Analytics & Reporting:

• Data Analysis: SQL, Python (for data analysis), Tableau, Power BI, or internal Amazon analytics tools.

• Reporting: Advanced Excel, Looker, or internal Amazon business intelligence dashboards.

CRM & Automation:

• While not explicitly a CRM role, understanding CRM principles and how they integrate with development workflows can be beneficial.

• Familiarity with CI/CD pipelines and DevOps tools will be advantageous.

• Experience with workflow automation tools and scripting.

📝 Enhancement Note: Specific internal Amazon tools are likely used, but candidates should highlight proficiency with industry-standard tools that demonstrate equivalent capabilities. The ability to leverage data for decision-making is paramount.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A fundamental principle. All operational decisions and processes should ultimately serve the AWS customer.

• Ownership: Taking full responsibility for your programs and their outcomes, demonstrating initiative and accountability.

• Bias for Action: Moving quickly and decisively, even when faced with ambiguity, to drive progress and results.

• Dive Deep: Understanding the details of your programs and challenges to make informed decisions and solve problems effectively.

• Insist on the Highest Standards: Committing to excellence in all aspects of program management, process building, and product delivery.

• Invent and Simplify: Continuously looking for ways to improve processes, tools, and product offerings.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where working effectively with diverse teams (engineering, design, product, marketing) is critical.

• Data-Driven Discussions: Conversations and decisions are typically backed by data and metrics.

• Constructive Feedback: A culture where direct, constructive feedback is common and valued for continuous improvement.

• Global Perspective: Collaboration often spans across different time zones and geographical locations.

📝 Enhancement Note: Understanding and embodying Amazon's Leadership Principles is non-negotiable for success and integration within the team culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Scale and Complexity: Managing programs within a company and product suite as large and complex as AWS presents significant operational challenges.

• Pace of Innovation: The rapid pace of technological advancement, particularly in Generative AI, requires continuous learning and adaptation.

• Balancing Speed and Quality: Ensuring that speed-to-market doesn't compromise the high standards expected by Amazon and its customers.

• Cross-Functional Alignment: Effectively aligning multiple, often siloed, teams towards a common goal.

• Ambiguity: Navigating situations with incomplete information or evolving requirements, common in cutting-edge product development.

Learning & Development Opportunities:

• Cutting-Edge Technology: Direct exposure to and involvement with Generative AI, advanced UX design, and the AWS cloud platform.

• Professional Development: Access to Amazon's internal training programs, workshops, and resources for program management, leadership, and technical skills.

• Industry Conferences: Opportunities to attend relevant industry events and conferences to stay abreast of the latest trends.

• Mentorship Programs: Formal and informal mentorship opportunities with senior leaders within AWS.

• Career Mobility: Potential to move into different roles or teams within Amazon, leveraging acquired skills and experience.

📝 Enhancement Note: The challenges presented are inherent to working at a company like Amazon and in a rapidly evolving field like AI. The growth opportunities are substantial for individuals looking to advance their careers in technical program management and product leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex technical program you managed from start to finish. What were the key operational challenges, and how did you build processes to overcome them?" (Focus on process building, release coordination, and metrics).

• "How would you approach defining and implementing a new operational process for managing the release of Generative AI features within AWS?" (Demonstrate your process design methodology).

• "Tell me about a time you had to align multiple cross-functional teams with conflicting priorities. What was your strategy, and what was the outcome?" (Highlight cross-functional leadership and communication).

Company & Culture Questions:

• "How do Amazon's Leadership Principles resonate with your own working style? Provide specific examples." (Be prepared to discuss at least 3-5 principles with concrete examples).

• "Describe a time you had to Dive Deep into a complex technical problem. What did you learn, and how did it impact your decision-making?"

• "How do you ensure the highest standards are met in your programs, especially when facing tight deadlines?"

Portfolio Presentation Strategy:

• STAR Method: Structure your examples using the STAR method (Situation, Task, Action, Result).

• Quantifiable Results: Emphasize metrics and data to demonstrate the impact of your work. For example, "I implemented a new release checklist that reduced critical bugs post-launch by 15%."

• Process Focus: Clearly articulate the operational processes you designed, implemented, or improved. Explain the "why" behind your process choices.

• Leadership Principles Integration: Naturally weave in examples that showcase your alignment with Amazon's Leadership Principles throughout your discussions.

• Conciseness: Be clear, concise, and to the point. Interviewers are looking for depth of experience and strategic thinking, not lengthy narratives.

📝 Enhancement Note: Thorough preparation, focusing on Amazon's unique culture (Leadership Principles) and the specific operational demands of the role (process building, release management), is key to success.

📌 Application Steps

To apply for this Principal TPM position:

• Submit your application through the Amazon Jobs portal via the provided URL.

• Tailor your resume: Highlight experience in Technical Program Management, Product Management, software development, process building, and release scheduling. Quantify achievements with specific metrics.

• Prepare your STAR stories: Develop detailed examples using the STAR method that showcase your experience with complex projects, cross-functional leadership, and operational improvements, explicitly referencing Amazon's Leadership Principles.

• Research AWS and Generative AI: Familiarize yourself with current AWS offerings, Generative AI trends, and the importance of UX design in cloud services. Understand how this role contributes to Amazon's broader strategy.

• Practice articulating your operational impact: Be ready to discuss how you have built processes, optimized workflows, and managed release schedules to drive efficiency and successful product delivery.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.