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Principal Technical Product Manager, External Services, Amazon Kinesis Data Streams

Amazon is hiring a Principal Technical Product Manager, External Services, Amazon Kinesis Data Streams in Seattle, United States. It pays $181k-$245k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • Pay on this posting starts in line with the typical AI product manager posting on Level.
  • The posting mentions Databricks among its tools and skills.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Databricks
Amazon Kinesis Data Streams is looking for a Principal Product Manager – Technical to own and grow the Streaming Tables portfolio across the Kinesis and Amazon MSK product lines. Streaming Tables lands real-time streaming data directly into analytics-ready open table formats, such as Apache Iceberg on Amazon S3 and Amazon S3 Tables. It's a strategic bet that connects AWS streaming with the lakehouse.

As the senior product leader for this area, you'll set the multi-year vision and strategy, define the business, and build it into a major growth driver for AWS streaming. The goal is to make it zero-ETL to turn any stream on AWS into a fresh, governed table that's ready to query. That means aligning many teams on one direction: Kinesis, MSK, S3, Glue, Lake Formation, Athena, Redshift, and EMR.

You'll operate with a high degree of ambiguity and autonomy. You'll write the strategy narratives that AWS VPs and senior leaders use to make decisions, and you'll represent AWS to strategic customers, partners, and the open-source community. You'll also raise the bar for product management across the organization.

Key job responsibilities
- Own the vision, strategy, and 3+ year roadmap for Streaming Tables across Kinesis Data Streams and Amazon MSK. Define how the portfolio grows into new product lines and use cases.
- Own business outcomes for the portfolio: revenue, adoption, and active customers, plus investment cases and headcount asks in OP1/OP2 planning.
- Write PRFAQs, strategy 6-pagers, and leadership alignment documents, and drive decisions with VPs and senior leaders.
- Shape the technical direction with Principal Engineers on open table format delivery: Apache Iceberg (self-managed on S3 and S3 Tables), schema evolution, compaction, exactly-once semantics, freshness SLAs, and catalog integration.
- Drive alignment and shared roadmaps across AWS service teams so customers get one seamless experience from end to end.
- Represent AWS externally: strategic customers, partners, analysts, re:Invent and other conference talks, and engagement with the Apache Iceberg/Kafka communities.
- Define pricing, packaging, and go-to-market strategy with Product Marketing, Sales, and Solutions Architects.
- Set competitive strategy against Confluent Tableflow, Databricks, Snowflake, and others to keep AWS differentiated over the long term.
- Mentor PMs and raise the product management bar in the org, including serving as a bar raiser in hiring.

A day in the life
You might start your morning reviewing customer engagement data and refining your service roadmap based on emerging adoption patterns. By midday, you are in a working session with engineering leads, debating architectural trade-offs for a new capability and aligning on priorities. In the afternoon, you join a call with an enterprise customer to understand how they integrate your service into their technology stack, then translate those insights into a product narrative that will shape next quarter's investment decisions.

About the team
Our team builds and operates services that are used by businesses of all sizes to solve real operational challenges. We are a collaborative group of product managers, engineers, and business leaders who believe that the best products come from deeply understanding our customers and iterating quickly on their behalf. We value knowledge-sharing and mentorship, and we are committed to creating an inclusive environment where every team member can grow. If you want to shape services that have broad, meaningful impact, we would love to have you join us.

Basic qualifications

- 5+ years of technical (software development, network development, IT, other related) experience
- 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

- 7+ years of working as a Technical Product Manager experience

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 - 181,100.00 - 245,000.00 USD annually

How we rate this

Principal Technical Product Manager, External Services, Amazon Kinesis Data Streams at Amazon rates 68 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Databricks

Also common in AI product manager jobs at this level

Pay

This job starts at
$181k
Typical AI product manager job
$178k

This posting starts close to the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Databricks. 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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