Amazon

Software Development Manager, Contextual Advertising, COMET

Job Description


Do you want to work in Advertising, solving industry-defining problems using cutting-edge technology, at the intersection of Engineering and Science? Amazon is shaping the future of Advertising, and the Comet team plays a critical role on that front. We are seeking a passionate Software Development Manager to lead a high-performing team of software engineers, building new advertising products for Amazon.

Contextual Advertising is an exciting new frontier for the advertising industry, with the deprecation of critical identifiers like cookies. We are building an industry-leading solution to this disruptive challenge, leveraging the latest in generative AI and distributed systems engineering. As a Software Development Manager Manager on the Comet team, you will lead a 2-pizza team of talented software engineers, responsible for building the core infrastructure that powers Amazon's contextual advertising solutions.

Advertising at Amazon is a fast-growing, multi-billion dollar business that spans across desktop, mobile, and connected devices, encompassing ads on Amazon and a vast network of hundreds of thousands of third-party publishers globally. Comet, Amazon Ads' contextual infrastructure, powers ad programs across Amazon by providing contextual signals from 3P and 1P properties. The team owns the extraction and generation of a wide range of contextual signals using the latest in generative AI and engineering.

To enable this, the Comet team builds large-scale real-time internet-scale crawling, data processing and machine learning solutions. We process bid requests in the orders of tens of billions per day with our real-time, batch, and stream processing systems. We are not tied to one technology but instead use what is best suited for the purpose. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. Additionally, all our systems need to implement low latency machine learning and optimization algorithms at scale.

As a Software Development Manager, you will be responsible for the full software development lifecycle, from architecture design to hands-on coding, testing, and deployment. You will also mentor and grow your team, fostering a culture of innovation, ownership, and continuous improvement. If you're passionate about solving industry-defining problems at scale and shaping the future of advertising, we'd love to hear from you!



Key job responsibilities
- Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
- Work with business leaders and product managers to define product requirements.
- Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
- Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
- Build and maintain world-class customer experience and operational excellence for your deliverables
- Hire, manage, mentor and grow a high performance team of Software Engineers

A day in the life
You will work with cross functional stakeholders across engineering, product and data science leadership to define engineering and product strategy. You will deliver state of the art machine learning based technical solutions that will power several contextual advertising products across Amazon Ads. - 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems


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