AmazonSr. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements, AWS GDSP Other
Amazon is hiring a Sr. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements, AWS GDSP Other in Arlington, United States. It pays $174k-$235k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical AI product manager posting on Level.
- Tools and skills the posting cites include Generative AI, product management and cloud computing.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Own product lifecycle and develop generative-ai powered features to improve efficiency and deal tooling for AWS.
We are seeking a highly skilled Senior Product Manager - Technical to own the development of new features that improve efficiency across the organization. You will work closely with stakeholders to prioritize features and capabilities that scale our ability to improve inspection and defect identification through automation and AI-driven solutions. The ideal candidate is a strategic, metric-driven thinker with deep technical expertise, a passion for learning new skills, and experience in cloud-based or AI-driven product management.
Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver against the highest standards. The ideal candidate will have strong technical skills paired with business acumen and be detail-oriented with excellent analytical and problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.
Key job responsibilities
In this role:
• You will own the entire lifecycle of new product feature development, from initial concept through launch and beyond, ensuring continuous improvement through data-driven iteration and stakeholder feedback.
• You will leverage both product management expertise and technical skills to understand complex business requirements, design innovative solutions, and develop generative AI-powered features that deliver measurable business impact.
• You will lead the technical development of new product features, including hands-on contribution to development efforts, particularly in areas involving generative AI implementation and integration.
• You will collaborate with Data Engineers, Product Managers, and other stakeholders to define success metrics, measure product performance, and quantify the business impact of new features and capabilities.
• You will translate complex technical concepts into clear, compelling communications for senior leadership.
• You will proactively identify and implement innovative solutions to enhance operational efficiency and scalability, continuously improving the team's capabilities and output.
• You will prioritize features, experience enhancements, bug fixes, and simplify tech landscape in a fast-paced, complex environment.
About the team
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with new technologies and global clients.
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
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Experience using data and metrics to drive actionable insights at scale
- Experience with AWS services or other cloud offerings
- 3+ years of hands-on technical experience in software development, data science, or related technical field
- Experience in the application of AI to drive operational efficiencies and speed to insights
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, San Francisco - 173,900.00 - 235,200.00 USD annually
USA, GA, Atlanta - 151,200.00 - 204,600.00 USD annually
USA, IL, Chicago - 151,200.00 - 204,600.00 USD annually
USA, MA, Boston - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, TX, Austin - 151,200.00 - 204,600.00 USD annually
USA, TX, Dallas - 151,200.00 - 204,600.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, VA, Herndon - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
How we rate this
Sr. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements, AWS GDSP Other at Amazon rates 70 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. 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
Pay
- This job starts at
- $174k
- Typical AI product manager job
- $180k
This posting starts close to the typical AI product manager job. See AI product manager jobs
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 generative ai 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 data analysis was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, Generative AI, Cloud Computing, and Data Analysis. 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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