Sr. PMT - ES, Healthcare AI, AWS Healthcare AI
Amazon is hiring a Sr. PMT - ES, Healthcare AI, AWS Healthcare AI in Seattle, United States. It pays $152k-$206k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Generative AI, Machine learning and product management among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead product definition and strategy for healthcare generative AI products as a Senior Product Manager.
The AWS Healthcare AI team is looking for a stellar Senior Product Manager - Technical to join the team and build world-class Generative AI products for our healthcare customers. Our team's mission is to build fit-for-purpose solutions for our healthcare customers. Our products make it easy for healthcare customers to use Machine Learning and Generative AI to achieve better outcomes. You will work with a diverse team that is brought together and motivated by work that improves people's lives while being challenged on a daily basis.
A successful candidate will bring a passion for technology services, strong business acumen and judgment, proven experience of launching products and building business around them, ability to define groundbreaking products, desire to have an industry-wide impact, and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact. You will manage and be responsible for understanding customer needs and delivering some of our most strategic technical projects and have a significant bottom-line impact on our business and competitive position.
Your responsibilities will include:
Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals, and working backwards documents (press release FAQ) including customer and market feedback, competitive analysis, and business metrics to inform direction.
Define Product Vision - Including all aspects to future roadmap investment innovation and experimentation.
Execution of Product Planning and Development - Including customer goals and business requirements for product release ensuring implementation is aligned with product goals and requirements and ownership of product positioning.
Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans.
Lead Operations - Including monitoring and response to customer feedback, continuous improvement, and business growth.
Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product.
Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership.
Key job responsibilities
• Work backwards from customers to build service roadmap and work with engineering and scientists to execute on the roadmap Creating/revise GTM strategy and be responsible for pricing new features or update pricing for existing features working closely with finance Work with field and BD team to partner with top executives from Healthcare organizations for adoption Responsible for creating and reporting on the service's revenue and customer traction through weekly and monthly business reports that are shared with leadership.
• ABOUT AWS:
About the team
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.
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.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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 working as a Technical Product Manager experience
- 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
- 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
How we rate this
Sr. PMT - ES, Healthcare AI, AWS Healthcare AI 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
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 gtm strategy was part of your work. What did you do?
- Tell me about a project where roadmap definition was part of your work. What did you do?
- What's a project where you used Generative AI hands-on?
- Walk me through how you've used Machine learning in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Gtm Strategy, Roadmap Definition, Generative AI, and Machine learning. 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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