Sr Technical Product Manager - AWS Neuron Annapurna Labs

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 cuttingedge cloud computing offerings across the AWS portfolio.

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 agoeven 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.

The Product: 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 cutting edge software including an 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.

The Team: the Amazon Annapurna Labs team is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the worlds most talented engineers. Our team covers multiple disciplines including silicon engineering hardware design software and operations. Because of our teams breadth of talent we have been able to improve AWS cloud infrastructure in highperformance machine learning with AWS Neuron Inferentia and Trainium ML chips in networking and security with products such as AWS Nitro Enhanced Network Adapter (ENA) and Elastic Fabric Adapter (EFA) and in computing with AWS Graviton and F1 EC2 instances.

You: Were seeking a handson product manager who have a passion for machine learning and developerfocused cloud software and hardware products and are willing to work hard for their customers. Product Management in Annapurna is an opportunity to collaborate with engineering design and sales/business development teams to create state of the art machine learning cloud services.

In your role as Neuron product manager you will be in charge of the customer voice within our team tirelessly working closely with multiple internal teams and customers to develop the new Neuron features for training and inference and support our growing ecosystem. Your mission will be to ensure our customers find new cutting edge offerings pleasing and useful to achieve their aggressive business goals.

As a member of the Annapurna team youll dive on our technology and work closely with our internal teams engage with leading developers and customers and help support Annapurnas products scale to large deployments. We are looking for selfdriven individuals who can collaborate with others and that will continuously work to deliver a worldclass customer experience. This is a fastpaced handson intellectually challenging position and youll work with thought leaders in multiple business and technology areas.

Youre a good fit if (a) you can think big and are able to break down the big picture into measurable goals (b) you have an instinctive understanding of what makes products successful and easy to deploy and can raise the bar on delivering features beneficial to our customer (c) you can dive into technical details and ask engineers insightful questions about the services that you own and finally (d) you can think longterm can balance conflicting interests and priorities and converge on outcomes that earn trust and customer loyalty.

In this role you will:
Work directly with software engineering teams to define and execute on new features.
Produce clear concise documents such as functional or technical specifications.
Write user stories and perform user acceptance testing.
Anticipate bottlenecks manage risk and escalations and balance business needs against technical constraints.
Find opportunities to innovate on behalf of our customers design features related to these opportunities and always push to improve our product user experience.
Drive feature discussions with customers engineering and other stakeholders.
Stay connected with industry counterparts and gain insights on technology trends.




About the team
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.

About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 (gender diversity) 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
Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience in representing and advocating for a variety of critical customers and stakeholders during executivelevel prioritization and planning
Experience in technical product management program management or engineering
10 years of industry experience with 5 years in a technical product management or customer facing roles. Knowledge in full product life cycles including technical specifications development gotomarket pricing customer facing presentations and collaboration with engineering and sales teams.
Solid knowledge in computer architecture fundamentals operating systems and cloud infrastructure engineering concepts
Ability to work in a fast paced and agile work environment with demonstrated collaboration skills and demonstrated strengths in driving through complexity ambiguity and unknowns in earlystage programs
Proven experience in delivering modern software products preferably collaborative opensource projects

Experience with concepts such as system architecture optimization system dynamics system analysis statistical analysis reliability analysis and decision making
Experience performing statistical analysis of data using SQL Excel and other tools
Bachelors degree in computer science or electrical engineering
Experience with Compilers
Experience with Deep Learning model training or inference including largescale model training and inference
Hands on experience with at least one major ML framework: JAX or PyTorch
Experience with Machine Learning acceleration model optimization and profiling
Familiarity with AWS services

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 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 $136100/year in our lowest geographic market up to $235200/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.