The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Amazon's shopping experience is designed for shoppers who exactly know what they want. However, not all shopping journeys fit that mold - people shop to explore, discover, refine their tastes or just have fun. Today, Amazon does little to service this type of shopping behavior. We want to address this gap by introducing a new way to shop on Amazon - one that services the less utilitarian aspects of shopping by encouraging shoppers to explore and discover new brands and products by browsing branded content, enabling brands to share their story and connect with shoppers, while also building brand loyalty. As we create new, complementary shopping experiences, shoppers will be able to choose between buying and exploratory shopping, and seamlessly transition between the two. Our experiences power billions of brand impressions.
This year, we're building capabilities that enable brands to personalize their shopping experiences for different customer segments and optimize those experiences using machine learning. We're launching a platform where brands can define their own shopper segments—based on how customers arrive, their relationship with the brand, or their shopping behavior—and tailor content for each segment using natural language configuration. We're also building intelligent optimization that automatically tests different content variations, learns what drives the best results for each segment, and continuously adapts as shopper behavior changes. Throughout both efforts, we'll deliver analytics that show brands how each segment performs, enabling data-driven decisions about their marketing strategies.
We are looking for a senior software development engineer to partner with product, design and science in building these new personalization and optimization capabilities. Given the strategic importance of this program for Advertising and Amazon overall, this role will have high visibility at senior leadership level. Given the early stage of the product, this provides opportunities to think big, and requires a high bar on customer obsession, bias for action, dive deep, insisting on highest standards, and earning trust. Our products and initiatives are highly strategic, and visible across Amazon's senior leadership. The role requires someone with a strong understanding of, and desire to deeply learn customer needs, experience building consumer facing products, technical depth to navigate distributed systems and machine learning applications. Our ideal candidate will be self-motivated, highly goal-oriented, comfortable with ambiguity, and with a track record of delivering solid results. They should be excited about the use of GenAI in helping deliver fast and use GenAI themselves in their day to day work. If the challenge of building personalized brand experiences that will fundamentally change the way brands connect with shoppers on Amazon excites you – please get in touch!
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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 150,700.00 - 251,700.00 CAD annually