Software Development Manager, SageMaker Training

About the role

Interested in building the distributed systems that let customers customize foundation models at scale? The SageMaker Training and Model Customization team builds the services customers use to fine-tune and post-train models against their own accuracy, reliability, and cost targets. We are looking for a Software Development Manager to lead the team that owns those capabilities.

Model customization is the fastest-moving layer of the machine learning stack. Post-training has gone from supervised fine-tuning to reinforcement learning against verifiable rewards, and from single-turn tasks to agentic training where a model learns by acting in an environment over long trajectories. Each shift changes the shape of the workload: reinforcement learning puts an inference engine inside the training loop, and agentic training adds environments and tool calls that move the bottleneck from run to run. Your team turns each new technique into a capability customers can use, without rebuilding the platform every time the research moves. Underneath, it stays a hard distributed systems problem across large accelerator fleets where a single node failure can halt progression.

As the manager you own the team and its charter. You will hire and grow engineers, set technical direction with your senior engineers and product managers, and decide what the team does and does not build. You own the roadmap and defend its tradeoffs with leadership. You own the service in production, including on-call health, operational metrics, and the customer requests that come with a service in the critical path of customer training workloads.

Key job responsibilities

-Lead a team of highly skilled and driven individuals towards achieving critical business goals.

-Grow talent in the team, coach team members on growth areas and create a promotion paths for strong performers.

-Communicate clearly with our customers and collaborators to reduce ambiguity and mitigate risk.

-Enforce professional software engineering guidelines and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

-Manage and communicate project deliverables, timelines, and progress.

-Build GenAI based distributed, multi-tenet systems with clear state-full/state-less boundaries.

A day in the life

Technical Leadership:

* Lead the design and development of Model customization capabilities on SageMaker Training.

* Own the technical vision for model customization infrastructure.

* Drive architectural decisions for scalable, resilient systems supporting foundation models

Team & People Management:

* Build, mentor, and grow a world-class team of software engineers and manage their career

* Hire top engineering talent and develop team members' careers

* Foster a culture of innovation, operational excellence, and customer obsession