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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$177k–$239k/yr
Full-time
bachelor degree
Health insurance, Medical insurance, Dental insurance, Vision insurance, Prescription insurance, Basic life and AD&D insurance
Posted 10d ago
~40 hrs/week
Responsibilities
You will own the end-to-end delivery and roadmap for the AI asset catalog platform, managing programs across multiple engineering teams. You will also serve as the primary liaison between engineering and legal to ensure data compliance and drive cost optimization.
Requirements
The role requires over 10 years of experience working with engineering teams, including at least 8 years in technical program management and 5 years in software development. A bachelor's degree in Computer Science, Engineering, or a related field is required.
Full job description
Amazon's Frontier AI organization is building the next generation of foundation models that power experiences across the company. We are looking for a Principal Technical Program Manager to own the end-to-end delivery and roadmap for our AI asset catalog platform, a unified system that enables scientists to discover, access, and govern the training assets used to develop AI models at Amazon.
You will be the single-threaded program leader for a platform that spans search and discovery, legal workflows and access management, petabyte-scale data storage, and data ingestion, compliance, and preparation. You will manage programs across multiple engineering teams, coordinate dependencies with partner organizations, and own the program narrative to senior leadership.
This is not a role where the strategy has been handed to you. You will operate in ambiguity, defining program structure where none exists, making trade-off decisions that carry legal and financial consequence, and influencing engineering teams across organizational boundaries without direct authority. You will build the mechanisms that drive execution while ensuring that architectural and program decisions compound into the right outcomes as the platform scales.
Success in this role requires combining deep technical understanding of data platforms and ML infrastructure with the organizational influence to align multiple organizations toward shared outcomes, and the program rigor to deliver complex programs on time and at scale.
Key job responsibilities You will own end-to-end program delivery across multiple engineering teams, defining strategy, sequencing, and trade-offs as the platform evolves. You will build durable mechanisms (dependency tracking, risk frameworks, escalation paths) that scale execution with and without your direct involvement. You will coordinate efforts across internal teams and partner organizations, negotiating priorities with teams under separate leadership chains and converting integrations into sustained platform relationships. You will anticipate bottlenecks, provide escalation management, and balance business needs versus technical constraints. Your technical skills enable you to design and implement process and tooling solutions that bridge data, resources, technology, and operations to achieve the right results. You will serve as the key program contact between engineering and legal for data usage policies and compliance, maintain a program level risk register, and drive cost optimization across storage lifecycle management. You will own the program narrative in senior leadership reviews, translating platform goals into concrete outcomes, holding teams accountable, and surfacing risks early. You will also own partner onboarding end to end, including integration testing, compliance readiness, and go/no-go criteria, ensuring the platform scales to new organizations without redesign.
A day in the life Collaborate with internal partners to understand their business priorities, communicate outcomes and define roadmaps. Define metrics and performance indicators and establish mechanisms to drive them. Dive deep into anecdotes and data to find patterns, root cause problems, and design solutions. Dive deep into science, technology and process to identify problems and create solutions. Tirelessly advocate for improvements to systems and processes that will benefit our product teams, stakeholders and business partners.
About the team The AGI Frontier AI Assets (FAI) organization is responsible for building services to store, access, and manually label data for training foundational and specialized AI models with world-class privacy and security for our customers. FAI’s vision is to amplify human judgment to improve the quality of AI, making it useful for all. Through evaluation, data generation and training, we align AI systems with customer objectives in a reliable and responsible way. Out teams prioritize human insight as the essence of AI that benefits Amazon businesses, customers, and humanity.
Basic Qualifications:
- 8+ years of technical product or program management experience - 10+ years of working directly with engineering teams experience - 5+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience with AI/ML technologies - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Bachelor's degree or above in Computer Science, Engineering, or related fields
Preferred Qualifications:
- 8+ years of engineering 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, BELLEVUE - 177,000.00 - 239,400.00 USD annually
How much do Data & Analytics jobs in Bellevue, WA pay?
Based on 427 listings with disclosed salaries, most data & analytics jobs in Bellevue, WA pay between $103k–$239k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Bellevue, WA right now?
There are currently 460 open data & analytics positions in Bellevue, WA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Bellevue, WA?
Companies currently hiring include Amazon, Snowflake, T-Mobile, PACCAR India, Meta, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Bellevue, WA?
Yes — 133 of the 460 open data & analytics positions offer remote or hybrid work (17 remote, 116 hybrid).
How do I apply for Data & Analytics jobs in Bellevue, WA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.