Sr. Specialist – GenAI​/ML, Accelerate Compute, Data & AI GTM

Description

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? You will be part of the core worldwide GenAI Models team, responsible for helping our customers build and deploy Generative AI (GenAI) models to power end applications and use cases across industry verticals. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.

You will be working directly with GenAI model providers, Inference service providers, and ISVs, around model performance evaluations and optimization on AWS infrastructure, developing demos and proof‑of‑concepts of GenAI end applications and use cases with large models.

You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams and partners like ISVs and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads across Edge devices and AWS. This involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof‑of‑concepts (POC), creating content to train the field teams, and driving thought‑leadership.

As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in GenAI and key ML use cases, as well as the system/solution development on Edge devices. You have the technical depth to articulate the benefits of our GenAI‑related services and solutions to data scientists, and C‑Level executives.

You also 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, partners development, professional services) and externally with customers and AWS partners. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and work with GenAI model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.

You will also work closely with account teams and product teams to drive model implementations and develop new solutions.

You should be passionate about helping companies/partners understand best practices for operating on AWS and represent your team to executive management. 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.

• 5+ years of Go‑To‑Market, Business Development, Sales, or Consulting experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• Experience developing strategies that influence leadership decisions at the organizational level
• Experience managing programs across cross‑functional teams, building processes and coordinating release schedules
• Experience selling cloud solutions at a software company or equivalent
• Experience conveying complex technical concepts to both technical and business audiences
• Experience presenting to both technical and non‑technical executive audiences

• Experience interpreting data and making business recommendations
• Experience in negotiating complex agreements with an understanding of legal terminology and reasoning

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,…