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Senior GTM Specialist, Strategic Initiatives, Annapurna Labs, Annapurna Labs

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Job Description & How to Apply Below

Description

Senior Strategic Initiatives Go to Market (GTM) specialist, role on the Amazon Annapurna Labs ML team is responsible for driving growth on mid and long term strategic initiatives with AI research and open source communities. This position focuses on understanding influential AI researcher and open source community needs and how to best onboard them to AWS AI Chips. This position focuses on understanding business needs, identifying relevant academic research, and measuring innovation value to guide investment decisions.

This role will work closely with other GTM specialists in our team, and across AWS to promote, attract and drive AI researcher and open source community growth.

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, evaluating academic research solutions, 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 Academic AI researchers and open source communities. You have domain expertise in GenAI and key ML use cases. 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 FGPA instances in the cloud.

Basic

Qualifications
  • Bachelor's degree in engineering, management, or technology
  • 7+ years of business development, partnership management, or sourcing new business experience
  • Experience using managed ML/AI solutions
  • Experience working cross funtionally across several teams
  • Experience driving collaborative projects from conception to delivery, or experience with training and deploying machine learning systems to solve large-scale optimizations
  • Experience working with cross-functional teams
  • Proven ability to communicate complex technical concepts
Preferred Qualifications
  • Experience interpreting data and making business recommendations
  • Experience identifying, negotiating, and executing complex legal agreements
  • 7+ Experience working with AI Researchers, Academic programs, and Open Source communities
  • 7+ Experience managing programs across cross…
Position Requirements
10+ Years work experience
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