AmazonSenior Product Manager - Technical, AWS Field Experiences
Amazon is hiring a Senior Product Manager - Technical, AWS Field Experiences in Boston, United States. It pays $151k-$205k 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 posting mentions AI agents, AI automation and product management among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Drive product strategy and roadmap for a new global AWS initiative intersecting machine learning, real-time software, and analytics.
We are looking for an experienced product manager that thrives by creating high-bar product and engineering cultures. You will be a member of a team working on a game changing AWS offering that intersects highly scalable real-time software, front-end technologies, innovative user experience, machine learning, and analytics.
You will be responsible for driving the technical product roadmap, and partnering with development and success teams to deliver new products. In this position, you’ll be an owner in innovating and delivering disruptive value to our customers, expanding customer adoption and usage growth, and raising the bar in ensuring we deliver the possible experience.
We’re looking for a tenacious self-starter with a passion for and engagement products, who can serve as a strong advocate for our customers. You should have excellent capabilities, strong writing skills, ability to technically dive deep and work independently with development teams, and the desire to develop ideas independently and thrive in a fast-paced start-up environment. You must have a track record of understanding needs and delivering technology solutions to address those needs.
Come join a smart, innovative team that’s obsessed with serving its customers and is having fun doing so in a start-up-like environment!
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
As a Senior Product Manager-Tech on AFX ProServe Team, you will drive the product roadmap for next-generation agentic tools that revolutionize how AWS ProServe works. You'll be responsible for building and orchestrating AI agents that collaborate seamlessly to automate administrative tasks—enabling sellers to focus their time and energy on what they do best: building relationships and closing deals. Working cross-functionally with engineering, design, and field teams, you'll define product requirements, prioritize features, and deliver solutions that measurably reduce seller workload while improving sales effectiveness. Your work will directly impact thousands of sellers managing hundreds to thousands of accounts, with the goal of achieving significant time savings through intelligent automation and agentic workflows
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
Preferred qualifications
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
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, MA, Boston - 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, WA, Seattle - 151,200.00 - 204,600.00 USD annually
How we rate this
Senior Product Manager - Technical, AWS Field Experiences 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. 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
- $151k
- Typical AI product manager job
- $180k
This posting starts 16% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Automation, Product Management, Machine learning, and Analytics. 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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