Sr. Technical Product Manager

Sr. Technical Product Manager - AWS Neuron, Annapurna Labs AWS Utility Computing (UC) provides 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, 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 Amazon's growing suite of generative AI services and other cutting‑edge 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 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.The Product: 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 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 world’s 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 high‑performance 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: We’re seeking a hands‑on product manager who has a passion for machine learning and developer‑focused 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 eco‑system. 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 you’ll dive on our technology and work closely with our internal teams, engage with leading developers and customers, and help support Annapurna's products scale to large deployments. We are looking for self‑driven individuals who can collaborate with others, and that will continuously work to deliver a world‑class customer experience. This is a fast‑paced, hands‑on, intellectually challenging position, and you’ll work with thought leaders in multiple business and technology areas.You're 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 long‑term, can balance conflicting interests and priorities, and converge on outcomes that earn trust and customer loyalty.ResponsibilitiesWork 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 those 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.Basic QualificationsBachelor’s 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 representing and advocating for a variety of critical customers and stakeholders during executive‑level 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, go‑to‑market, 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 early‑stage programs.Proven experience in delivering modern software products, preferably collaborative open‑source projects.Preferred QualificationsExperience 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.Bachelor’s degree in computer science or electrical engineering.Experience with Compilers.Experience with Deep Learning model training or inference including large‑scale 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. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/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.#J-18808-Ljbffr