You will work at the intersection of Building Information Modeling (BIM), generative AI, and cloud-based platforms, partnering with product managers, software engineers, applied scientists, and Architecture, Engineering, Construction, and Ownership (AECO) domain experts to plan, execute, and launch programs that accelerate facility design workflows. You will translate ambiguous business and technical requirements into structured execution plans, drive cross-organizational alignment, and ensure AI-powered features maintain the high trust bar that engineering professionals demand. The ideal candidate combines deep technical program management expertise with the ability to navigate ambiguity, thrives in fast-paced environments, and is passionate about applying AI to real-world engineering challenges at unprecedented scale.
Key job responsibilities
Own and deliver ambiguous, large-scale programs spanning multiple organizations and technology domains — defining mission, objectives, and measurable success criteria while driving alignment across business and engineering stakeholders throughout the end-to-end program lifecycle
Analyze system architectures and engineering organizational structures to identify dependencies, risks, and opportunities, partnering with engineering leaders to ensure solutions scale effectively and meet both functional and non-functional requirements
Drive clarity and crisp decision-making in highly ambiguous environments — providing context on business and technology trade-offs, questioning assumptions, and prioritizing work that delivers the highest customer value, even when the business strategy, architectural approach, or problem definition may not yet exist
Translate complex AECO workflows and customer needs into clear technical requirements and implementation plans, partnering with product managers to inform and execute the product and technical roadmap
Influence and advise VP-level leadership across data center engineering organization on technical investment decisions, organizational alignment, and long-term platform strategy — translating technical complexity into actionable insights that inform resource allocation and strategic direction
Establish metrics, dashboards, and regular reporting mechanisms to provide stakeholders and senior leadership clear insight into program health, delivery timelines, and business impact
Force-multiply across the TPM community by proactively identifying gaps between teams, processes, and systems, and establishing frameworks, mechanisms, and best practices that elevate the effectiveness of multiple teams and programs, reduce failure modes, and strengthen operational health
A day in the life
You start your morning reviewing program metrics and identifying areas that need attention. By mid-morning, you are leading a cross-team design review, asking pointed questions about architectural trade-offs and helping engineers converge on a path forward. After lunch, you draft a program update narrative for leadership, distilling weeks of progress into a concise story. Later, you connect with partner teams to unblock a dependency and refine the delivery timeline. Throughout, you mentor a fellow program manager and carve out time to evaluate whether a new generative AI tool could streamline your reporting workflows.
5+ years of technical product or program management experience
7+ years of working directly with engineering teams experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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 - 148,700.00 - 201,200.00 USD annually
