AmazonPrincipal Product Manager – Technical, AWS Data & Analytics
Amazon is hiring a Principal Product Manager – Technical, AWS Data & Analytics in Seattle, United States. It pays $181k-$245k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions SageMaker and AI agents among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Key job responsibilities
We are looking for a Principal Technical Product Manager to own identity and access across the entire Data & Analytics portfolio, set the multi-year strategy, and own the roadmap that delivers it. Your scope includes:
- Identity that follows the user. You'll define systems and features that carry corporate identities through every engine and tool.
- Permissions defined once, enforced everywhere. You'll own a governance model where customers grant access in one place and it holds no matter how the data is reached.
- Governance at massive scale. You'll make permissions and policies work huge data estates that span across accounts, regions, and AWS Organizations.
- Simple by default. You'll keep the simple path easy for customers with basic needs, and offer robust fine-grained controls for customers who need them.
- Identity for AI agents. You'll define how agents authenticate, act on behalf of customers, discover data they are entitled to, and stay within the boundaries customers set.
Basic qualifications
- 7+ years of working as a Technical Product Manager experience
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
Preferred qualifications
- 10+ years of product management or leadership experience in a technology context
- Product experience in identity, access management, security, or data governance for cloud or enterprise SaaS platforms
- Familiarity with identity standards and protocols (SAML, OIDC, OAuth 2.0, SCIM) and enterprise identity providers
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 - 181,100.00 - 245,000.00 USD annually
How we rate this
Principal Product Manager – Technical, AWS Data & Analytics at Amazon rates 19 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used SageMaker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents and SageMaker. 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.
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