Sr. Technical Program Manager, ML Networking Team, Annapurna Labs

We're seeking a Senior Engineering Technical Program Manager for the Annapurna ML networking teams. In this role you will be responsible for scoping and delivering large projects end-to-end. Responsibilities include collection of business and systems requirements from engineering leaders, driving project schedules from design to release, and managing the production launch. You will coordinate design/implementation efforts between ML networking teams operating in different countries to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to, internal cross-functional and remote project teams. You will also periodically report status of projects under your responsibility to the company leadership.

The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in current machine learning technologies as well as products spanning multiple technical domains with focus on high performance networking. You must be able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities.

Key job responsibilities
As a Senior TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.

In this role you will:
· Coordinate execution of projects across multiple teams
· Provide technical direction with limited assistance
· Lead cross functional project meetings
· Lead milestone reviews
· Present project status to the executive team
· Manage project builds globally


You will work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.

About the team
Annapurna ML networking team is the team that delivers the software and firmware comprising EFA (Elastic Fabric Adapter) ML stack, and provides efficient, high performance interconnect for EC2 ML platforms powered by Trainium, Nvidia, and AMD accelerators.

Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

About 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
AWS values diverse experiences. Even if you do not meet all of the 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
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