Level

Amazon

Sr. Software Development Engineer, Customer Relationship Management

Amazon is hiring a Sr. Software Development Engineer, Customer Relationship Management in Seattle, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Level.

Level's read on this job

  • On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • The posting mentions AWS, ML Pipelines and LLMs among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 22,000+ other open roles on Level.

AI in this role

Architect and lead development of customer and household intelligence systems, LLM workflows, and AI pipelines.

awsml-pipelinesllms
ai-agentsml-ops
Amazon’s Customer Relationship Management (CRM) organization is redefining how we understand, anticipate, and serve the needs of hundreds of millions of customers worldwide. We sit at the intersection of personalization, predictive intelligence, and large-scale distributed systems—with a mission to create the most intuitive, relevant, and trusted shopping experience in the world. From deeply understanding households and customer missions, to recommending the next best needs to fulfill, to enabling rich exploratory discovery, CRM drives the intelligence that powers Amazon’s end-to-end customer journey.

As we enter the next phase of our evolution, we are looking for great engineers to help deliver the next generation of customer and household intelligence across Amazon. This includes developing durable customer memory systems, orchestrating AI agents, building global-scale data and ML pipelines, and enabling partner teams to innovate safely and rapidly on top of our platform. As a Senior Software Development Engineer on this team, you will be a technical leader shaping the architecture, systems, and tooling that form the backbone of this initiative.

You will solve complex, highly ambiguous technical problems—integrating multi-source datasets, designing LLM workflows, building distributed systems that support hundreds of millions of active customers, and delivering low-latency, high-confidence signals to every Amazon experience. You will lead engineering design, influence technical strategy across multiple organizations, and help define the platform that powers customer intelligence for Amazon globally.

Key job responsibilities
- Architect and lead the development of highly scalable, resilient, and low-latency systems that power customer and household intelligence at Amazon scale.

- Build and evolve core data and AI/ML infrastructure, including real-time/batch pipelines, data services, and MLOps frameworks.

- Design and implement AI workflows for needs-based reasoning, exploratory recommendations, and contextual decision-making

- Write high-quality, maintainable code and drive engineering standards across the organization.

- Work through ambiguity, decompose complex business and scientific requirements, and translate them into robust, flexible technical solutions.

- Own the full software lifecycle: architecture, design, implementation, testing, deployment, and operations.

- Collaborate closely with scientists, product managers, and partner teams to launch new capabilities

- Mentor other engineers, foster a culture of technical excellence, and contribute to long-term architectural direction across CRM.

A day in the life
We have an ambitious charter in CRM and you will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build the next generation of targeting and customer engagement optimization services to enable businesses globally at scale. As a Senior Software Development Engineer on our team you will be able to own end-end feature development from helping with defining feature requirements to design and implementation. You will have the opportunity to talk with customers to understand their needs; you will see them adopt the technology you build; and you will use their feedback to inform future development. You will also get your hands on LLMs, Machine Learning, AWS and big data technologies.. Depending on your interests, you may work on a broad range of technical problems or you may focus on full-stack development, back-end distributed systems engineering, space and time optimization, or programming model design and implementation. Regardless of the path you choose, you will grow your skills, solve hard problems, and ship software to customers, learning from and mentoring others along the way.

About the team
Are you passionate about understanding and fulfilling every customer’s need at the right time, on the right surface, with the right experience? Do you get excited by the idea of building intelligent systems that combine real-time data, ML, and scalable infrastructure to power personalized actions for millions of customers? If so, the Customer Relationship Management (CRM) team is for you!

We are looking for software engineers to help us reimagine how Amazon discovers, understands, and addresses customer needs across journeys. Our systems power decision-making at scale - ingest billions of events, infer latent customer signals, and make intelligent decisions that enhance customer experience, trust, and business outcomes. We partner with central science teams to bring state-of-the-art ML into production and build modular systems that allow fast iteration and experimentation.

The ideal candidate will bring strong software engineering skills, a deep sense of ownership, and the ability to thrive in a high-ambiguity, high-impact space. You should be excited about diving deep into distributed systems, designing extensible architectures, and building mechanisms to measure success.

This is a rare opportunity to shape the intelligence fabric that powers the next generation of personalized customer experiences at Amazon.

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

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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 - 168,100.00 - 227,400.00 USD annually

How we rate this

Sr. Software Development Engineer, Customer Relationship Management at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsML OpsAWSML PipelinesLLMs

Also common in software engineer jobs at this level

Pay

This job starts at
$168k
Typical software engineer job
$168k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What are the limits of AWS that you've run into, and how did you work around them?
  4. What's a project where you used ML Pipelines hands-on?
  5. Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI agents, ML Ops, AWS, ML Pipelines, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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