JobgetherRemote · Switzerland
1h ago
AmazonPosted 1w ago
L3
Sr. Technical Product Manager - AWS Transform, Agentic AI
Sr. Technical Product Manager - AWS Transform, Agentic AI at Amazon scores 70 out of 100 on AI centrality, which makes it a Level 3 role on this board.
US, WA, Seattleseniorfull-time$152k-$206k
AI in this role
Lead technical product strategy for generative AI and agentic code transformation tools at AWS.
generative-ai
product-managementagentic-aicode-modernizationcloud-computingautomation
You will be developing revolutionary capabilities that leverage advanced AI to analyze, transform, test, and deploy code at scale. Working at the intersection of generative AI and cloud computing, you'll help create solutions that dramatically reduce the complexity of code modernization while enabling customers to fully leverage AWS's extensive service catalog.
Key job responsibilities
* Lead the definition and delivery of services and tools that help enterprises and system integrators automate the modernization of their code assets.
* Identify new product opportunities and write their business proposals.
* Drive the coordination and clear communication of a multi-product roadmap, working across multiple groups.
* Work with engineering and design teams to define fast-paced, but realistic schedules.
* Create the pricing, product positioning, and go-to-market plans.
* Enable the sales team with product training and collateral.
* Create and drive a community engagement plan.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional
Basic qualifications
- 5+ years of product management in the cloud computing technology space experience
- 7+ years of full product life cycle experience
- 5+ years of creating written docs for development of new products experience
- Bachelor's degree in computer science, engineering, math, finance, or economics
- Experience in taking a product from conception & definition phase through engineering design and taking it to market
- 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
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience working within teams delivering software products and features using agile methodologies
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 - 152,200.00 - 205,900.00 USD annually
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
Product ManagementAgentic AICode ModernizationCloud ComputingAutomationGenerative AI
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 agentic ai was part of your work. What did you do?
- Tell me about a project where code modernization was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Agentic AI, Code Modernization, Cloud Computing, and Automation. 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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