Software Development Engineer , Lead Management and Account-Based Marketing Tech

Lead Management and Account-Based Marketing Tech(LMABMT) 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.

The core mission of AWS Marketing is to educate customers about cloud computing and our services. As a fast growing business, we get thousands of leads via events, webinars, website, and campaigns that we process, score, and pass the highest quality leads to our sales teams.

Imagine building a platform that that will be built using AWS technologies to store millions of customer lead records, continuously keep their attributes updated based on factors like their demographics, marketing activities they engage with, products they show interest etc. Imagine working with global AWS Marketing and Sales leaders to understand the AWS buying process and building the engine that enables that end to end from ingesting leads to sending to Sales follow-up and then also building the feedback mechanism on performance. You and your team will build various modules which will be responsible for ingesting leads, enriching them with attributes that we gather from 3rd party and 1st party data, scoring the leads, and handing the highest quality leads to appropriate sales teams.

Interested in diving in? As Software Development Engineer for the AWS Lead Management and Account-Based Marketing Engineering team, you will join a fast growing tech organization with plenty of technical talent. You will develop a high quality, creative, technology platform that powers ingesting and passing along the highest quality leads to the AWS Sales teams. Your team will drive and own core innovations for our customers worldwide. You will closely interact with senior managers and stakeholders on a global scale, prioritizing and autonomously driving the full software development lifecycle for your team. You will work on critical projects that significantly contribute to the significant growth of AWS. You will make a huge, measurable impact to the AWS buying and lead management process, and build and innovate solutions that are simple and easy to maintain and scale. You are a strong technical leader. You are great at hiring, growing, and mentoring engineers, and at cultivating leadership capabilities. Are you an experienced software development leader, ready to challenge yourself to work hard, have fun, and make history with AWS? Come and join the AWS Marketing Lead Management team!

Key job responsibilities

• implementation of a scalable E2E technical design across all systems in the solution - AWS tools, API, Redshift
• Deliver validated conceptual architecture
• Write and prioritize architectural enablement work items
• Evaluates technical feasibility of features
• Defines migration plan from current to future state
• Defines environment setup and continuous integration/continuous delivery standards

A day in the life
The ideal candidate will have a track record of success, delivering new features or products. This person has thrived on delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. They have strong design and implementation experience, digs deep into data, has a strong knowledge of web services and protocols, and an in-depth knowledge of distributed systems architectures and integration between third party applications.

A typical day’s activities may included:

• Collaborating and provides guidance with product management, UX designers, and engineering on feature technical feasibility
• Capturing technical requirements ensuring the solution is secure, scalable, efficient, and responsive
• Designing an overarching solution and soliciting buy in from technical audiences
• Delivering high quality code and peer reviews
• Championing standards and best practices
• Identifying technical risks and issues and mitigation strategies to resolve system bugs

About the team
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.

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.

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.

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

• 2+ years of non-internship professional software development experience
• Experience programming with at least one software programming language
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
• Bachelor's degree or equivalent

Preferred qualifications

• Master's degree in computer science or equivalent
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually