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Senior GTM Specialist , Annapurna Labs, ML

Amazon.com Inc

  • Cupertino, CA
  • 24 days ago

    Highlights

    Senior Strategic Go to Market (GTM) Specialist, role on the Amazon Annapurna Labs ML team is responsible for driving growth with Trainium and Neuron partners, ISVs and customers, This position focuses on understanding influential partners and solutions that will expand the scope and abilities of Trianium and develop strategies to on board them to AWS AI Chips. The successful candidate will be results-oriented with a big-picture vision, capable of inspiring others and working effectively across various business units, and customers They will have technical depth in AI/ML and a background working with academia and open source communities.

    Numbers & Facts

    LocationCupertino, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Senior Strategic Go to Market (GTM) Specialist, role on the Amazon Annapurna Labs ML team is responsible for driving growth with Trainium and Neuron partners, ISVs and customers, . This position focuses on understanding influential partners and solutions that will expand the scope and abilities of Trianium and develop strategies to on board them to AWS AI Chips. This position focuses on understanding business needs, identifying relevant partners or ISVs, and measuring adoption and growth potential to guide investment decisions. This role will work closely with other GTM specialists in our team, and across AWS to promote, attract and drive Trainium and Inferentia user adoption.

    Key job responsibilities

    The ideal candidate is a deep thinker who excels in cross-functional teams and thrives in fast-paced environments. They should be adept at identifying strategic opportunities, influential ML libraries and frameworks, and establishing processes to measure ongoing investments. Key attributes include strong analytical and communication skills, excellent judgment, high standards, and the ability to think strategically while maintaining tactical focus. The successful candidate will be results-oriented with a big-picture vision, capable of inspiring others and working effectively across various business units, and customers They will have technical depth in AI/ML and a background working with academia and open source communities.

    As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with AI customers, partners, ISVs and open source communities. You have domain expertise in GenAI and are able continuously learn new technical concepts and put them in practice quickly. You have the technical depth to articulate the benefits of our deep learning and GenAI-related services and solutions to data scientists, and academics at all levels of the stack. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers and 3rd party model providers.

    You will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping companies/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.

    About 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 business development. Along with the AI Chips Inferentia and Trainium, Annapurna Labs has delivered advancements in Networking with AWS Nitro, Amazon's first ARM based instances with AWS Graviton and first FPGA instances in the cloud.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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