Principal Technical Program Management Amazon Selling Partner Verification jobs at Amazon in United States, Tempe

As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work at scale. This position requires experience with developing Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Have publications at top-tier peer-reviewed conferences or journals
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms, vision-language models (VLMs) or large language models (LLMs)

- Bachelor's degree in Business, Analytics, Computer Science, or related field
- 5+ year’s experience in data analytics with advanced Excel proficiency (VBA, pivot tables, array functions, power pivots)
- 3+ years hands-on experience with data visualization tools (Tableau, Quicksight, or Power BI)
- Strong SQL proficiency and experience working with large datasets
- Demonstrated experience in requirements gathering and metrics-driven analysis
- Track record of translating complex data into actionable business recommendations
- Experience collaborating with cross-functional teams and influencing senior stakeholders
- Background in automation and process improvement initiatives
- Strong problem-solving and analytical skills with attention to detail
- Excellent written and verbal communication skills
- Experience with AI/ML tools and automated workflow development

This individual will work with teams across SPS to influence content quality, relevancy, and engagement as inputs to our end goal of improving seller satisfaction through comms. You will establish program best practices, lead change initiatives, and implement solutions that benefit the seller experience.Excellent communication skills, bias for action with clear prioritization and an ability to thrive in ambiguity are required.Key job responsibilities
• Establish programmatic best practices in alignment with overall content quality strategy
• Define and instrument success metrics across content types and channels
• Develop and maintain partnerships with internal teams and stakeholders, driving accountability
• Conduct weekly metrics analysis and deliver program reporting to leaders and stakeholders
• Serve as a key influencer in developing and auditing business strategy, and monitoring key metrics, seller feedback, and learnings to deliver programmatic optimizations
• Review and implement program and process optimization

- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership

- 2+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field

Key job responsibilities
-Develop large scale, high performance, high reliability systems.-Innovate based on new ideas and build comprehensive system/features.
A day in the life
An engineer in Selling Partner Identity Verification will spend their day collaborating with their teammates on designs for new systems, providing code review feedback for their peers, writing code to implement new software as well as update legacy software, working with business partners to define requirements and drive better experiences for our customers.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
-Develop large scale, high performance, high reliability systems.-Innovate based on new ideas and build comprehensive system/features.
A day in the life
An engineer in Selling Partner Identity Verification Tech will spend their day collaborating with their teammates on designs for new systems, providing code review feedback for their peers, writing code to implement new software as well as update legacy software, working with business partners to define requirements and drive better experiences for our customers.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
-Develop large scale, high performance, high reliability systems.-Innovate based on new ideas and build comprehensive system/features.
A day in the life
An engineer in Selling Partner Identity Verification Tech will spend their day collaborating with their teammates on designs for new systems, providing code review feedback for their peers, writing code to implement new software as well as update legacy software, working with business partners to define requirements and drive better experiences for our customers.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

- The curiosity to always keep your technical skills current while maintaining a pulse on industry trends
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life BalanceEEO/Accommodations

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 2+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of IT development or implementation/consulting in the software or Internet industries experience