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We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines. The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency. Required skills and experience Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles. Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers. Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. Hands-on experience with building big data high availability pipelines with Flink Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation. Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby. Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. 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We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines. The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency. Required skills and experience Degree in Computer Science (B.S. required, M.S. preferred) with a solid grasp of object-oriented design and principles. Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers. Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. Hands-on experience with building big data high availability pipelines with Flink Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation. Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby. Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. 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Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments. Hands-on experience with building big data high availability pipelines with Flink Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation. Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure. Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby. Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies. 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Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization. - Develop and test new signals for improving recommendation models - Use supervised and uplift learning algorithms to improve customer experience - Contribute to production code and science tooling - Design A/B tests and conduct statistical analysis on their results - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Present and publish science research internally and externally, contributing to Amazon's science community - Mentor junior engineers and scientists. 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Join WW SMB Financing. We are building the future of small and medium business financing, leveraging Amazon's scale and capabilities to democratize access to capital for millions of sellers worldwide. Our team operates with the agility of a fintech startup within Amazon. We are seeking a senior lifecycle marketer to own the outbound activation system that converts the right sellers into qualified loan applicants. This role is for an analyst-marketer who designs cohort journeys against established segmentation frameworks, ships GenAI-powered marketing mechanisms, and drives measurable application start rate uplift segment by segment. 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