AmazonSenior Product Manager-Technical, Application Rationalization
AI in this role
We are looking for a self-motivated Sr. Product Manager - Technical with strong interpersonal skills and experience leading large-scale, cross-organizational initiatives. In this role, you will own the strategy and mechanisms that curate Amazon's enterprise software portfolio, with a strong emphasis on evaluating, piloting, and scaling AI-powered productivity tools. You will ensure every Amazonian has access to secure, productive, and cost-efficient tooling as AI transforms the way we work.
Key job responsibilities
- Define and drive the roadmap for rationalizing Amazon's enterprise software portfolio. Identify overlapping tools, assess build-vs-buy decisions, and recommend consolidation or retirement paths.
- AI Tool Evaluation & Recommendations: Lead the assessment of 3P AI tools across productivity categories (communications, project management, prototyping, code generation, etc.). Deliver tool recommendations aligned with Amazon's "AI for Me" program, ensuring Amazonians have access to best-in-class AI capabilities for their common tasks.
- Evaluation Frameworks: Invent and implement scalable mechanisms (scoring rubrics, data pipelines, stakeholder review processes) to evaluate applications across security, cost, adoption, and user experience dimensions.
- Cross-Org Influence: Work across IT, engineering, finance, security, and business teams to drive consensus on tooling standards. Influence without authority at senior leadership levels.
- Cost Optimization: Identify and deliver cost savings through license rationalization, contract renegotiation support, and elimination of redundant software.
- Customer Obsession: Engage directly with power users and employee communities to understand pain points, validate recommendations, and ensure transitions preserve productivity.
- AI-Native Operations: Contribute to AppRat's own AI-native transformation by identifying opportunities to automate evaluation workflows, adoption tracking, and portfolio intelligence using AI.
About the team
Application Rationalization (AppRat) manages Amazon's enterprise software portfolio across 1P and 3P applications. We tackle the proliferation of overlapping tools by evaluating, rationalizing, and consolidating applications so employees get an integrated, delightful experience while the company returns significant savings to the firm. As Amazon navigates unprecedented AI transformation, AppRat plays a critical role: we assess the rapidly expanding landscape of 3P AI tools, deliver recommendations to senior leadership, and drive procurement to get the best AI tools into Amazonians' hands quickly. We partner with security, procurement, engineering, and business teams across all of Amazon to make this happen.
Basic qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- 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
- MBA
- Experience in building and driving adoption of new tools
- Experience working at scale (100K+ user base) in a large, matrixed organization
- Understanding of the generative AI landscape: foundation models, AI assistants, prompt engineering tools, and how they integrate into enterprise workflows
- Excellent written and verbal communication skills, with the ability to create compelling narratives for technical and non-technical audiences
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, NY, New York - 166,300.00 - 225,000.00 USD annually
How we rate this
Senior Product Manager-Technical, Application Rationalization at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
- How do you structure and test a prompt to get consistent output from a language model?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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