AWS Neuron is looking for a Technical Program Manager to join our Product Management team and drive initiatives that enable customers to innovate with AWS ML accelerators. You will work closely with Product Managers Engineering and other stakeholders. AWS Neuron is the software stack for Trainium and Inferentia the AWS Machine Learning chips delivering bestinclass ML performance in the cloud. You will implement mechanisms to support roadmap development tracking and sharing drive product lifecycle management and validate customer success and product strategy. You will lead key technical programs including developer experience improvements software development lifecycle initiatives and crossteam technical initiatives. Additionally you will establish programs and mechanisms for measuring product success implementing and tracking key metrics that inform strategic decisions. You will also lead programs to systematically collect and analyze feedback from internal and external customers to enable datadriven program decisions.
The ideal TPM candidate will be an experienced program manager with a handson approach and software development background who excels at driving complex technical programs across distributed teams and multiple stakeholders. The successful candidate should have strong technical acumen demonstrated success in delivering largescale technical initiatives and passion for customer experience. The candidate will have a datadriven approach to program management using metrics and analysis to drive decisions and program success.
About AWS Neuron:
AWS Neuron is the software of Trainium and Inferentia the AWS Machine Learning chips. Inferentia delivers bestinclass ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the bestinclass ML training performance at the lowest training cost in the cloud and its 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 Robotics Amazon Ads Amazon Rekognition and many more.
About AWS Utility Computing (UC):
AWS Utility Computing (UC) provides product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services. Additionally this role may involve exposure to and experience with Amazons growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.
Key job responsibilities
* Support customer research programs to gather insights and validate product improvements
* Implement measurement frameworks and analytics systems for product success
* Create and maintain dashboards for customer research and feedback metrics
* Coordinate Early Access Programs and feature evaluation processes
* Support product lifecycle management across Neuron software stack
* Maintain knowledge management systems for sharing between Product Management and internal stakeholders
* Implement mechanisms to share roadmap with internal and external stakeholders
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
8 years of industry experience and 5 years of technical program management experience
Excellent written and verbal communication abilities
Experience coordinating crossteam technical projects
Ability to dive deep and constructively discuss proposed technical solutions
Experience with customer research initiatives
Knowledge of ML frameworks (PyTorch JAX TensorFlow)
Experience with ML/AI infrastructure products
Understanding of software dependency management
Familiarity with AWS services
Experience with metrics and analytics systems
Experience with Deep Learning model training or inference.
Experience with distributed computing and parallel processing
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 Companys 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
for more information. If the country/region youre applying in isnt 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 $133900/year in our lowest geographic market up to $231400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.