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Description

As a Senior Software Engineer in the Lead Management Organization within the AWS Marketing Integrated Demand Center (IDC), you will build and scale the distributed systems and data platforms that revolutionize how AWS manages, scores, delivers, and optimizes its customer and prospect base. This critical role enables you to architect solutions that directly impact sales productivity and revenue, establish technical excellence in marketing automation infrastructure, and deliver features that shape AWS' customer engagement future.

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.

As a senior member of the engineering team, you will play a key role in establishing engineering best practices, mentoring other engineers, and helping set the technical direction and culture of our team.

This is not a remote or hybrid role. This role sits in the following locations: Seattle, WA, USA

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.

- Write clean, maintainable, well-tested code and conduct thorough code reviews to ensure high engineering standards across the team.

- 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.

- Build and integrate AI/ML capabilities using AWS services (e.g., Amazon Bedrock, SageMaker) to augment traditional lead management workflows with intelligent automation.

- 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.

- Mentor junior engineers through code reviews, design discussions, and knowledge sharing to raise the technical bar of the team.

- Proactively identify technical debt, scalability bottlenecks, security risks, and opportunities to apply new technologies (including GenAI) to solve business problems.

About the team

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship 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

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

- 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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.