Sr. Product Manager, Alexa Japan
Amazon is hiring a Sr. Product Manager, Alexa Japan in Tokyo, Japan. 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 LLMs, Alexa and AI Tooling 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
Own the product roadmap and user experience for Alexa+ in Japan, leveraging large language models and AI evaluation tools.
Alexa+ is the next generation of Alexa, rebuilt on large language models. We are bringing it to customers in Japan, and this is a rare opportunity to shape how a world-class AI assistant works in one of the most demanding and quality-conscious markets.
We are looking for a Sr. Product Manager to own a core part of the Alexa+ experience in Japan. You will own the roadmap for your product area, decide what needs to be built and in what order, and hold the bar for what a good experience looks like for Japanese customers.
Part of holding that bar is defining it: you will build the test cases that specify how the product should behave across the range of things Japanese customers ask for. When something does not work, you will dig into it yourself — reproduce the issue, narrow down where it breaks, and work with engineers and scientists to scope the fix.
You will spend time on which problems are worth solving, how to solve them, and what is needed to convince the right stakeholders to invest. This role suits someone who is comfortable with ambiguity, fluent enough technically to hold their own in a design review, and native in Japanese. You do not need a background in linguistics or machine learning research. You do need strong product judgment and the willingness to get into technical and linguistic details.
Key job responsibilities
• Own the product roadmap and requirements for your area. Define the customer experience, write the specs and PR/FAQs, and set the success metrics.
• Design the acceptance tests that define the product. Build the taxonomy of use cases and utterances your area has to support, write the seed test cases yourself, then use AI tooling to expand them into the hundreds or thousands of cases needed to prove the experience holds up.
• Prioritize ruthlessly. Decide what absolutely needs to be built, what can be cut, and which quality bars are non-negotiable. Make the trade-offs between time, effort, and scope explicit.
• Investigate product defects and quality issues. Reproduce them, isolate root cause with engineering and science partners, and turn findings into scoped, prioritized work.
• Partner day-to-day with engineering, applied science, and marketing teams. Translate customer needs into technical requirements and align stakeholders on the plan.
• Represent the Japanese customer. Use your own judgment of the language and cultural context to catch problems that metrics alone will not surface.
• Define the KPIs for your area, own launch readiness including go/no-go criteria, and report progress, risks, and decisions to senior leadership.
Basic qualifications
- Bachelor's degree or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience with feature delivery and tradeoffs of a product
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders
- 5+ years of technical product management, program management or engineering experience
- Speak, write, and read fluently in Japanese at a business level or above (N1+)
- Experience investigating product defects and quality issues and driving them to resolution with engineers
Preferred qualifications
- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality
- Master's degree or above in an advanced technical degree field
- Experience selling AI/ML solutions
- Experience managing and delivering product quality or testing
- Experience with competitive benchmarking and turning the findings into product requirements
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.
How we rate this
Sr. Product Manager, Alexa Japan 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
- Typical AI product manager job
- $178k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where roadmapping was part of your work. What did you do?
- Tell me about a project where testing was part of your work. What did you do?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
Adapt your resume
- List these exact terms on your resume: AI Research, Product Management, Roadmapping, Testing, and NLP. 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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