AmazonSr Technical Product Manager, AWS Enterprise Security Products
AI in this role
Drive zero-to-one AI-powered enterprise security products as a Senior Technical Product Manager at AWS.
Key job responsibilities
Own product strategy and delivery end-to-end:
Set the vision and drive the roadmap for zero-to-one security products where AI is core to both the product and the process of building it. Your strategy must meet customers where their workloads run, across AWS, Azure, GCP, and on-premises, while leveraging AWS differentiation. Own prioritization, phased rollouts, and launch outcomes. Shape and ship the product.
Be the voice of the customer:
Engage directly with the enterprise security customers we serve. Validate fast, build conviction about what to build next, and drive beta programs that generate the customer signal shaping product direction.
Drive AI-first thinking:
Use AI to prototype, build, and launch faster. Know agentic architectures and decide how they translate into product experiences. Rethink how security problems should be solved by applying what is emerging to what customers need.
Partner across disciplines. Work directly with engineers, applied scientists, UX designers, and security researchers. You bring the customer context, they provide the technical depth. Together you ship fast.
Build the product culture:
Define what product management looks like on a fast-growing, AI-native team. Establish the rituals, frameworks, and quality bar that scale as we grow.
Basic qualifications
- Experience owning/driving roadmap strategy and definition
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 5+ years of product management experience in building enterprise cybersecurity SaaS products
- Experience managing customers in early beta
- Familiarity with AI-first development practices, agentic architectures, or conversational AI product experiences
Preferred qualifications
- Experience designing and launching new products from the ground up
- Experience using AI tools to accelerate product management workflows (research synthesis, spec generation, competitive analysis, etc.
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, TX, Austin - 151,200.00 - 204,600.00 USD annually
How we rate this
Sr Technical Product Manager, AWS Enterprise Security Products 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.
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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
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 security was part of your work. What did you do?
- Tell me about a project where ai product management was part of your work. What did you do?
- Tell me about a project where agentic architectures was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Security, AI Product Management, Agentic Architectures, and AWS. 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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