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
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 - 179,900.00 - 243,400.00 USD annually
