Role at a glance
- Salary
- $168.1K – $227.4K/yr
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Internship
- Experience
- 5+ years of non-internship professional software development experience
- Education
- Bachelor's degree in computer science or equivalent
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Role Summary
This role defines the technical vision and architecture for natural language reporting experiences within Amazon Ads' Measurement and Data Science Reporting Experience team. The work focuses on AI-native systems that help hundreds of thousands of advertisers ask questions in plain language and receive actionable campaign performance insights in real time.
What You'll Do
- Own the technical vision and architecture for natural language reporting experiences
- Lead the design and delivery of AI-native software in ambiguous problem spaces
- Establish technical partnerships across Ads to deliver cohesive end-to-end experiences
- Decompose large-scale initiatives into parallel workstreams and guide incremental delivery
- Identify and resolve architecture deficiencies and bottlenecks, including deprecating or rearchitecting existing systems
- Define engineering best practices, operational excellence, security, and quality across the team and adjacent teams
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred
- 5+ 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Measurement and Data Science (MADS) Reporting Experience team is reinventing how advertisers understand and act on their campaign performance across Amazon Ads. You'll navigate deep ambiguity to design systems that are inventive, scalable, and simple — identifying the right problems to solve, decomposing highly complex challenges into elegant architectures, and driving technical decisions at the frontier of AI and user experience. You'll establish cross-team partnerships across Ads to deliver cohesive experiences, influence technical direction beyond your own team, set the engineering standard for operational excellence, and raise the technical bar across the organization.
Key job responsibilities
- Own the technical vision and architecture for natural language reporting experiences serving hundreds of thousands of advertisers, making complex systems simple and extensible
- Lead the design and delivery of AI-native software in highly ambiguous problem spaces, writing critical-path code and making trade-offs that balance short-term delivery with long-term architectural health
- Establish and drive technical partnerships with dependencies, influencing their technical direction to ensure cohesive, high-quality end-to-end experiences
- Decompose large-scale, ambiguous initiatives into parallel workstreams and guide the team to deliver incrementally while maintaining architectural integrity
- Proactively identify architecture deficiencies and bottlenecks, proposing and leading efforts to resolve them — including deprecating or rearchitecting existing systems when necessary
- Define and drive engineering best practices, operational excellence, security, and quality across the team and adjacent teams
- Mentor engineers, lead design reviews, and raise the technical bar, ensuring the team grows stronger and can operate independently of any single contributor
- Influence team and organizational technical strategy by bringing clarity to complexity, guiding future technology choices, and building consensus across stakeholders
Basic Qualifications
- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ 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
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, TX, Austin - 168,100.00 - 227,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.