Principal Product Manager Technical, Business Data Technologies

At Amazon, data is critical to everything we do, from understanding product

inventories across our global fulfillment centers to predicting what products to

recommend to customers. Data ceaselessly informs our flywheel, helping us to

understand customer needs, onboard new sellers and selection, and identify

opportunities for cost savings. Business Data Technologies (BDT) provides

trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure,

store, analyze, and transform this data at unparalleled scale. BDT owns,

develops, and operates Andes, one of the largest data lakes in the world,

storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k

monthly active users. To do this, we need extraordinary individuals to build the

next generation of data analytics, machine learning, and AI solutions for

thousands of scientists, engineers, and analysts who rely upon us to get their

jobs done.

The BDT-AI4ME organization works bring AI-centric methodologies and automations

to Amazon organizations needing to connect their business teams and objectives

with their data teams and architectures. The BDT-AI4ME organization seeks to

lower the cognitive load needed to connect business to data through best of

class agents and AI-ready metadata to allow anyone to access data to gain

insights.

BDT Principal Product Managers - Tech (PMT) provide the three-year product

visions and strategies for their ~50 person organizations, while also providing

clear, iterative roadmaps to get there. They deliver results in collaboration

with Engineering teams and Principal Engineers to create clean architectures

that support coherent and intuitive user experiences. As a Principal Product

Manager in the BDT-AI4ME organization, you understand ways that enterprises

apply AI to solve business and technical problems. You understand the ways that

Amazon’s business teams work with their data teams, and you seek to reduce

friction and error-proneness of those interactions by enhancing business

processes and automations using AI.

Key job responsibilities

You focus on the data needs of business users and their user journeys from

question to insight. You formulate a strategy for transforming the ways Amazon

extracts value from its data through iterative improvements involving AI

enablement, process optimization, role guidelines, and org design.

You work backwards from user needs, and leverage data such as service telemetry,

user feedback, and industry trends to author PR/FAQs, 3-year strategies,

roadmaps, launch announcements, and user documentation. As part of a broader

team, you collaborate with other product managers to ensure that work in your

space works coherently with current and upcoming features being launched by

other BDT teams, give feedback on narratives, contribute to strategy (e.g., OP1

planning), set goals, discuss weekly business metrics, and more.

Data drives your “flywheel”. You analyze data to glean insights that drive

experimentation. You take what’s proven and partner with Amazon organizations to

apply and scale it. You define, implement, and monitor metrics that track your

progress.

You partner with Amazon’s business orgs to test hypotheses and deploy AI-based

solutions to reduce friction and risk of errors in the ways that businesses use

data.

You partner with Amazon’s PXT organization to evolve and optimize roles

guidelines and org design best practices to align with the way businesses are

evolving their practices around getting insights from their data.

You understand and work to improve the interfaces (MCPs, APIs) that technology

teams of Amazon’s business orgs use to connect their bespoke AI solutions to the

Andes data lake.

Launching a capability is only the start. Post launch, you are responsible for

increasing usage, iterating on user feedback, and user education. You partner

with engineering, human resources, legal, documentation, solution architecture,

privacy, finance, and more to optimize usage of the Andes data lake for AI-based

methodologies.

As an owner, you hold yourself and partners accountable for the highest quality

user outcomes.

You provide clarity where there is ambiguity. Basic

Qualifications

• - 7+ years
• of end to end product delivery experience
• - 10+ years of specific technology domain areas (e.g. software development,
• cloud computing, systems engineering, infrastructure, security, networking, data
• & analytics) 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)
• - Experience making product decisions using judgment and data, including
• collaborating with users and internal partners to solicit diverse perspectives
• - Experience successfully improving processes for product management and for
• collaboration with partner teams
• - Experience defining and executing go-to-market strategies
• - Experience influencing executive leadership through verbal and written
• communication
• - Experience negotiating, influencing, planning, and executing across teams
• - Bachelor's degree, or higher

Preferred Qualifications

• - Knowledge of current
• trends and approaches to applying AI to business needs
• - Technical depth in databases, data lakes, storage, and distributed systems,
• including architectural and operational aspects
• - Experience working with and influencing senior level stakeholders
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually