Principal Product Manager-Technical, Geospatial Technology
Amazon is hiring a Principal Product Manager-Technical, Geospatial Technology in Bellevue, United States. It pays $180k-$243k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
We are seeking an outstanding Principal Product Manager-Technical to raise the bar for Geospatial Technology by working on foundational AI models. This role will drive step-change improvement in business outcomes through the use of AI Foundation Models.
You will play a critical role in defining and executing a long-term technical and business vision with high senior leadership visibility. This role is inherently cross-functional -- you will work closely with engineering, operations, science, program, and finance teams to define both the short and long-term product vision and strategy then execute against this strategy. You will work with multiple Senior Principal Engineers and Scientists in this role.
Key job responsibilities
Define creative, high quality, and clear product roadmaps based on data, customer-needs, team strategy and vision.
Develop detailed, crisp business requirements and user stories that can be used to create product specifications and architecture for each product and application.
Create buy-in for your product vision both internally and across key partners.
Proactively identify and resolve issues that may impair the team’s ability to meet strategic, financial, and technical goals.
Develop Business Requirements, review Tech Designs, and participate in the day-to-day decision-making activities of your product team.
Establish yourself as a Product thought leader on Agentic AI.
Basic qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management
Preferred qualifications
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
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, Bellevue - 179,900.00 - 243,400.00 USD annually
How we rate this
Principal Product Manager-Technical, Geospatial Technology at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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.
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