Prime Video (PV) is Amazon’s online video entertainment destination, and our mission is to entertain and delight our customers in over 200 countries with an infinite selection of movies, shows and sports on their TV, mobile devices, and desktop. We always start with our customer experience in mind and work backwards to find the right solution. Amazon continues to expand our portfolio, from award winning Originals to a wide selection of channels like Epix and Live Sport.
Are you excited about building high-performance AI systems that can understand and identify key scenes in movies, TV series or live sport to generate multimedia assets that help customers make a streaming decision? Our team is creating new products and technologies that make this possible, at Amazon scale. Additionally, our team owns multiple promotional and core customer experiences rooted in cinematic, video-forward marketing and engagement (e.g. pre-rolls, auto-play on hover), which deliver measurable impact on org-wide engagement goals (e.g. increasing monthly active customers, incremental streams, additional hours on the service). Each month, these systems generate over 9+ billion impressions across a multitude of touch points throughout the customer journey, with an eye to making each impression be as relevant, personalized and efficient as possible, while adhering to performance/operational latency tolerances. The scope is truly end-to-end, including video asset understanding, processing, generation, storage and distribution across a global device footprint, and reliant on Machine learning, AI and Computer Vision Machine Learning (CVML) for scale and optimization. The Cinematic marketing team is seeking broad, curious engineering leaders to join our diverse team. In addition to holistically designing, building, and delivering end-to-end AI systems, our team is responsible for the infrastructure that serve as the backbone of video forward CX, enabling machine learning scientists, and software engineers to collaborate and innovate on behalf of the customers.
Key job responsibilities
• Prioritize being a really great people manager. Building, motivating, rewarding and coaching a diverse team of Software Development Engineers and managers is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
• Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve our service architecture with quality, robustness and Amazon sized scale as top priorities. You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.
• Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.
• Contribute to and lead design, architecture, process and development discussions
• Engage, liaise and broker necessary partnerships and cross-org commitments with dependency teams, from clients through playback through backend asset management systems
• Drives strategic communication across senior leadership, understanding the strategic importance of software to the larger business
Are you excited about building high-performance AI systems that can understand and identify key scenes in movies, TV series or live sport to generate multimedia assets that help customers make a streaming decision? Our team is creating new products and technologies that make this possible, at Amazon scale. Additionally, our team owns multiple promotional and core customer experiences rooted in cinematic, video-forward marketing and engagement (e.g. pre-rolls, auto-play on hover), which deliver measurable impact on org-wide engagement goals (e.g. increasing monthly active customers, incremental streams, additional hours on the service). Each month, these systems generate over 9+ billion impressions across a multitude of touch points throughout the customer journey, with an eye to making each impression be as relevant, personalized and efficient as possible, while adhering to performance/operational latency tolerances. The scope is truly end-to-end, including video asset understanding, processing, generation, storage and distribution across a global device footprint, and reliant on Machine learning, AI and Computer Vision Machine Learning (CVML) for scale and optimization. The Cinematic marketing team is seeking broad, curious engineering leaders to join our diverse team. In addition to holistically designing, building, and delivering end-to-end AI systems, our team is responsible for the infrastructure that serve as the backbone of video forward CX, enabling machine learning scientists, and software engineers to collaborate and innovate on behalf of the customers.
Key job responsibilities
• Prioritize being a really great people manager. Building, motivating, rewarding and coaching a diverse team of Software Development Engineers and managers is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
• Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve our service architecture with quality, robustness and Amazon sized scale as top priorities. You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.
• Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.
• Contribute to and lead design, architecture, process and development discussions
• Engage, liaise and broker necessary partnerships and cross-org commitments with dependency teams, from clients through playback through backend asset management systems
• Drives strategic communication across senior leadership, understanding the strategic importance of software to the larger business