Senior Product Manager - Technical, Digital Twins, GREF – Internal Tools Product

Amazon is hiring a Senior Product Manager - Technical, Digital Twins, GREF – Internal Tools Product in Arlington, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Iot, product management and predictive maintenance.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead the 0-to-1 product development of a digital twin platform featuring AI-powered predictive maintenance and space simulation.

Iot

product-managementpredictive-maintenancesimulationiotreal-estate

The Global Real Estate and Facilities (GREF) organization is looking for an experienced technical product manager to lead the development of digital twin product capabilities for the GREF Internal Tools Product team. GREF is responsible for Amazon's corporate office portfolio, creating the spaces that inspire Amazonians to make history. The globally diverse team manages Amazon's corporate offices in more than 60 countries. GREF provides real estate transactions expertise, business partnering, space and occupancy planning, design and construction, capital investment program management, facility maintenance, and operations all contributing to the employee experience and leveraging places and programs to enable culture to thrive at Amazon. Within GREF, the internal tools team establishes and builds products that enable GREF employees to deliver an exceptional workplace experience for Amazonians.

In this role, you will build a 0 to 1 digital twin product that creates a living digital representation of GREF's physical real estate portfolio. The product will continuously update to reflect any change to its physical counterpart throughout the lifecycle, creating a closed loop of feedback in a virtual environment. Core capabilities will include real time monitoring of environmental factors, space utilization, and equipment health across facilities; predictive maintenance powered by IoT data and AI to identify equipment issues before breakdowns occur; simulation tools that enable users to model changes and optimize space planning; and energy and cost management features that monitor performance and reduce waste. You will also consolidate disconnected data sources, into a single centralized platform that serves as GREF's source of truth for portfolio data. In close collaboration with tech teams, UX design, and real estate design teams, you will drive software product strategy, collaborate cross functionally to develop and launch new products, and maintain ownership over product requirements, backlog, and planning. This high visibility role will impact the success of the GREF organization and directly impact employees across the company. The position requires strong customer centric strategic planning, analytical skills, problem solving, and excellent communication skills.

This technical product manager will lead with curiosity and a builder's mindset, working collaboratively to translate complex physical environments into intuitive digital experiences. They will dive deep into the systems, sensors, and data that underpin GREF's real estate portfolio and develop a keen understanding of how real time information can drive smarter facility decisions. They will work cross functionally to define a north star vision for how digital twin technology can transform portfolio management, space optimization, and operational efficiency across GREF. A track record of delivering results in a fast paced, dynamic environment is a must. Being self driven, adaptable, and able to manage multiple priorities is key to success. This role is a great fit for someone who is sensitive to the diverse perspectives of stakeholders and works with them to resolve differences.

Key job responsibilities
- Develop the end to end product strategy, vision, and roadmap for a 0 to 1 digital twin platform that creates a continuously updated digital representation of GREF's physical real estate portfolio
- Define the product architecture for real time monitoring of environmental conditions, space utilization, and equipment health across GREF's global facility footprint
- Build predictive maintenance capabilities that leverage IoT data and AI to detect equipment anomalies and trigger intervention before failures occur
- Develop simulation and scenario modeling tools that enable stakeholders to evaluate changes to space layouts, capacity plans, and facility configurations before committing resources
- Own energy and cost management product features that monitor facility performance, surface inefficiencies, and drive measurable reductions in operational waste
- Consolidate fragmented data sources, disconnected vendor systems, and manual spreadsheets into a centralized platform that serves as GREF's single source of truth for portfolio data
- Work collaboratively with Engineering, UI/UX, and stakeholders across GREF on product definition, launch planning, and cross functional delivery
- Establish metrics and key performance indicators for success
- Develop product and solution requirements, working backwards from the customer

Basic qualifications

- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred qualifications

- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Master's degree
- Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
- Experience building products that bridge physical and digital environments
- Familiarity with predictive analytics, machine learning, or AI applied to operational environments

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, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

How we rate this

Senior Product Manager - Technical, Digital Twins, GREF – Internal Tools Product at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Product Manager - Technical, Digital Twins, GREF – Internal Tools Product is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $151k-$205k a year.
The role is based in US, VA, Arlington.
The job was posted on September 21, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementPredictive MaintenanceSimulationIotReal Estate

Also common in AI product manager jobs at this level

AI agents LLM Generative AI AWS SQL Azure

Pay

This job starts at: $151k
Typical AI product manager job: $178k

This posting starts 15% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where predictive maintenance was part of your work. What did you do?
Tell me about a project where simulation was part of your work. What did you do?
Tell me about a project where iot was part of your work. What did you do?
Tell me about a project where real estate was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Product Management, Predictive Maintenance, Simulation, Iot, and Real Estate. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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