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You will design, develop, and operate highly scalable systems that process millions of leads and customer interactions daily. You will partner with technical product managers, program managers, and engineering teams to translate product requirements into robust technical solutions that delight our internal customers. As we evolve our platform, you will leverage emerging technologies including LLMs and Generative AI to introduce intelligent capabilities that enhance lead management workflows. You are also responsible for ensuring system reliability, performance, and data integrity while maintaining the highest standards of code quality and operational excellence. This role will work closely with a diverse set of global, functional stakeholders (i.e., Marketing, Sales, Marketing Operations, Sales Operations, and Legal) to understand business needs and deliver technical solutions.Key job responsibilities
- Design, develop, and deploy scalable, distributed systems that support lead management, scoring, and routing capabilities serving AWS' global marketing and sales operations.- Architect and implement data pipelines and integration solutions that connect marketing automation platforms, CRM systems, and data warehouses.
- Collaborate with technical product managers to translate business requirements and product specifications into technical designs and implementation plans.
- Drive technical decisions on system architecture, technology stack selection, and development approaches that balance scalability, maintainability, and time-to-market.
- Explore and implement GenAI and LLM-powered features to enhance lead intelligence, such as automated lead qualification, content personalization, and predictive insights where appropriate.- Own the operational excellence of your services, including monitoring, alarming, deployment automation, and incident response.
- Optimize system performance, cost, and reliability through data-driven analysis and continuous improvement initiatives.
- Ensure compliance with data governance standards and responsible AI practices across all technical solutions.
- Partner with program managers and business stakeholders to understand use cases and ensure technical solutions meet business requirements for ABM and lead management workflows.Why AWS
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional
- 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
- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building large-scale machine learning and AI solutions at Internet scale
- Knowledge of the ethical considerations surrounding AI in the legal context, such as confidentiality, accuracy, and bias prevention
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