Principal TPM, Agentic WorkSpaces (AAWS)

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Must remove boilerplate. Must preserve all substantive info. We need to parse the description. Key sections: - Description: includes intro about AWS Applied AI Solutions, WorkSpaces transformation, role description. This could be "About the role" maybe. - Key job responsibilities: bullet list. - About The Team: includes subsections about AWS, Diverse Experiences, Why AWS, Work/Life Balance, Inclusive Team Culture, Mentorship and Career Growth. This is more about company culture; could be part of "About the team" but we only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. No "About the team". So we need to decide where to put that content. Possibly under "About the role" as description of team? Or maybe we can omit? But we must preserve ALL substantive information; cannot invent or summarize away detail. We need to include that info somewhere. Since only allowed headings are those, we could put the team/culture info under "About the role" as prose. Or we could create a separate section like "About the team" but not allowed. So we must embed within allowed sections. We have Basic Qualifications and Preferred Qualifications. Those map to Requirements and Qualifications perhaps. Basic Qualifications could be Requirements; Preferred Qualifications could be Qualifications. Skills maybe not explicitly listed; we could omit Skills if no specific content. Benefits: described: comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, etc. Also mention sign-on payments and RSUs. So we have Benefits section. Pay: base salary range listed: USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually. Also mention sign-on payments and RSUs. So Pay section. Schedule: not mentioned. No info about schedule, so we should NOT create Schedule section. Thus sections: About the role, Responsibilities, Requirements (Basic Qualifications), Qualifications (Preferred Qualifications), Benefits, Pay. Possibly Skills omitted. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not repeat job title. Must not include Job ID etc. Must remove boilerplate like EEO, accommodation link, etc. Also remove duplicated lines. We need to preserve all substantive info: The description paragraphs about vision, transformation, role, etc. The responsibilities bullet points. The About The Team subsections (AWS description, Diverse Experiences, Why AWS, Work/Life Balance, Inclusive Team Culture, Mentorship and Career Growth). Also Basic Qualifications and Preferred Qualifications. Benefits details. Pay details. We need to format. Let's craft. About the role: combine the initial description paragraphs (starting "Description As part of the AWS Applied AI Solutions organization...") plus maybe the About The Team content? Actually About The Team is separate but we can incorporate into About the role as description of team and culture. However the instructions: "Prefer a few substantive sections over many thin ones." So we could have About the role include the role description and team/culture info. That seems okay. Responsibilities: list the bullet points under "Key job responsibilities". There's a heading "Multi Workstream Program Ownership" etc. Actually the responsibilities are described in paragraphs with bold headings. We need to extract list items. Let's list responsibilities: - Multi Workstream Program Ownership: * Own end to end delivery of significantly complex, cross functional technical initiatives spanning multiple organizations across science, engineering, product, business, and data engineering. * Drive simultaneous workstreams, including agentic AI integration, workspace persona experiences, architecture modernization, capacity forecasting and optimization, and new product incubation, with clear dependencies, milestones, and accountability. * Stitch together disparate workstream narratives into a unified, coherent story for leadership reviews, QBRs, and S Team updates. - Proactive Risk Identification and Mitigation: * Develop mechanisms to surface risk early: capacity gaps, service dependencies, migration blockers, science to production handoff delays, and timeline slips before they escalate. * Own escalation paths and drive resolution at the right level. * Build data driven risk models that quantify trade offs between investment timing, technical debt, and customer experience, informing executive decision making with precision rather than intuition. - Technical Depth and Influence: * Understand system architectures deeply enough to challenge engineering teams, spot risks in technical proposals, and drive simplification across a portfolio that spans ML inference pipelines, agent orchestration frameworks, desktop streaming protocols, and distributed infrastructure. * Evaluate capacity plans, scaling signals, and architecture trade offs with confidence. * Influence design decisions across service teams to unblock innovation, accelerate delivery, and ensure that science driven capabilities translate into production impact. We can flatten into a single list of duties, or keep subheadings? The instruction: use

  • for any list of duties/requirements/benefits. So we can just make a flat list. But we could also keep subheadings as

    then list. However they said use

    • for any list. So we can have a
      with
      • items. Might lose grouping but okay. Requirements: Basic Qualifications bullet list: - 7+ years of technical product or program management experience - 10+ years of working directly with engineering teams experience - 5+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Qualifications: Preferred Qualifications: - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules (Note: there is some duplication; we keep as is.) Skills: none specific; we can omit. Benefits: list: - 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 - parental leave - sign-on payments - restricted stock units (RSUs) We could also mention link to learn more but that's boilerplate; we can omit. Pay: base salary range: USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually. Also mention sign-on payments and RSUs (already in benefits). Could mention that final compensation based on experience, qualifications, location. We'll put Pay as a

        with that info. Schedule: none, omit. Now we need to strip boilerplate: remove EEO, accommodation link, etc. Also remove "Company - Amazon Development Center U.S., Inc." maybe not needed; it's metadata but could be considered minor metadata; we can drop. Also remove "Job ID: A10538041". Remove. Also remove "If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner." etc. Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." (boilerplate link). Remove. Also remove "Amazon is an equal opportunity employer..." etc. Also remove "Our inclusive culture empowers Amazonians..." maybe part of About The Team? Actually that line appears after Preferred Qualifications: "Amazon is an equal opportunity employer..." That's boilerplate; remove. Also remove "If you have a disability and need a workplace accommodation..." etc. Also remove "Our inclusive culture empowers Amazonians to deliver the best results for our customers." That's also boilerplate. Now we need to ensure we preserve all substantive info: The About The Team sections: Diverse Experiences, Why AWS, Work/Life Balance, Inclusive Team Culture, Mentorship and Career Growth. Also the initial paragraph about AWS Applied AI Solutions etc. Let's extract those: From "About The Team": - ABOUT AWS: Diverse Experiences: "Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying." - Why AWS: "Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses." - Work/Life Balance: "We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud." - Inclusive Team Culture: "Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness." - Mentorship and Career Growth: "We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional." We should keep these as prose under About the role maybe. Now the initial description: "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. AWS Applied AI Solutions (AAIS) is where science meets customer obsession at scale. We build the intelligent systems that power AWS services used by millions, combining research in machine learning, agentic AI, and applied science with the operational rigor required to deliver enterprise grade experiences. Within AAIS, Amazon WorkSpaces is our cloud based virtual desktop service that delivers secure, managed computing to over one million daily users across the globe, enabling organizations to provision, manage, and scale desktops with the reliability and performance their workforce depends on. We are now at an inflection point. We are transforming traditional virtual desktops into Agentic WorkSpaces, a new category of intelligent, persona driven workspace experiences where AI agents operate continuously alongside humans, orchestrating across foundation models, maintaining enterprise governance, and unlocking productivity at scale. This transformation spans multiple strategic pillars, from next generation architecture modernization to AI powered capacity intelligence to entirely new product constructs, all converging toward a single mission: making WorkSpaces the definitive venue for human AI teamwork in the enterprise. We are looking for a Principal Technical Program Manager to own the lifecycle of the most complex, cross organizational programs driving this transformation. You will manage multiple concurrent workstreams spanning capacity intelligence, architecture modernization, agentic AI integration, persona driven workspace experiences, and new product incubation, stitching together a coherent narrative for executive leadership while proactively identifying and mitigating risk across every dimension. This is not a role for someone who waits for problems to surface. You will operate at the intersection of deep technical understanding, methodical program execution, and executive influence, driving clarity where ambiguity exists, building mechanisms that scale cross functionally, and establishing trust with VPs and SVPs across AWS and AAIS leadership." We need to keep all that. Now responsibilities