Sr. Technical Product Manager AI/ML Training, Annapurna Labs

Description

AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for ML training software. You will be part of the AWS Neuron Product Management team, driving innovation in machine learning training acceleration. AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips, delivering best-in-class ML training performance in the cloud. You will lead training software requirements working backward from customer needs, drive training frameworks, and collaborate with open source communities and ML ecosystem partners, enabling customers to successfully develop and optimize ML training workloads on AWS Trainium through deep understanding of distributed training, compilation systems, and hardware acceleration.

The ideal candidate will have a solid understanding of AI/ML models training, distributed training architectures, and performance optimization techniques. They should be able to assess technical implications of training software stack decisions, understand customer needs, and drive developer experience. Experience with large-scale distributed training, model parallelism strategies, and hardware acceleration is valuable.

Additionally, The Ideal Candidate Should Have

• Proven track record of driving training product strategy and owning roadmap definition in complex technical environments
• Experience delivering training features with deep understanding of technical trade-offs and product implications
• Strong ability to contribute to and influence engineering discussions around training technology decisions and strategy
• Demonstrated success in representing customer training needs and driving alignment during executive-level prioritization
• Track record of delivering results in fast-paced, ambiguous environments, particularly in early-stage programs
• Experience with modern ML training workflows and collaborative open-source projects
• Experience with model parallel training techniques including tensor, pipeline, and sequence parallelism
  
  

Key job responsibilities

• Drive and execute training product strategy and roadmap working backwards from customer requirements in collaboration with engineering technical leadership
• Assess technical implications of training architecture and optimization decisions
• Drive technical alignment across Neuron training components, distributed training workflows and dependencies
• Work directly with software engineering teams to define and execute on new training features
• Produce clear and concise documents such as PRFAQ and PRD documents for training capabilities
• Write user stories, and validate training features meet developer needs
• Drive feature discussions with customers, engineering, and other stakeholders around training use cases
• Anticipate bottlenecks in training workflows, manage risk and escalations, balancing technical constraints
• Find opportunities to innovate on behalf of our training customers, design features related to these opportunities
• Build ecosystem partnerships focused on training and stay connected with industry trends
• Represent the training product in relevant industry events
  
  

About The Team

About AWS Neuron:

AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon's Rufus AI assistant, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.

Basic Qualifications

• * Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• * 10+ years of industry experience with at least 5+ years in Technical product management and 3+ years of ML/software development
• * Solid knowledge in ML training fundamentals and distributed training concepts
• * Hands on experience with major ML training frameworks: JAX or PyTorch
• * Experience with large-scale model training workflows
• * Excellent written and verbal communication abilities
  
  

Preferred Qualifications

• * Hands on experience with PyTorch or JAX distributed training
• * Track record of driving developer training libraries
• * Experience with Nemo, Torchtitan, MaxText, AXLearn, or similar distributed training frameworks
• * Experience with ML training accelerators and hardware
• * Experience with concepts such as training performance optimization, profiling and tooling
• * Experience with distributed training of large-scale models
• * Track record of driving open standards and ecosystem integration for training workflows
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 $149,700/year in our lowest geographic market up to $258,800/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.


Company - Annapurna Labs (U.S.) Inc.

Job ID: A3060636