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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Amazon Business Development Lead, Gen AI, AWS Industries in Atlanta, Georgia

Description

Do you want to help define the future of Go to Market (GTM) at AWS for generative AI (GenAI)? You will be part of the core GenAI GTM team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals. You will engage with internal teams and customers to influence the adoption of our Gen AI services. You will be working directly with the most important customers (across segments) helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, developing GTM plans and external/internal evangelism.

Key job responsibilities

In this role, You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities include market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with specialist teams to identify new features required and influence the service teams, and identifying partners and potential acquisitions.

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 key ML and Gen AI use cases, understand the challenges involved in training and deploying GenAI models, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of ML Frameworks and AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development. 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, partners, and importantly, the developer community.

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 3rd party model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.

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.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Atlanta, GA, USA | Boston, MA, USA | Chicago, IL, USA | Dallas, TX, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Basic Qualifications

  • Bachelor’s degree in technical discipline with 10+ years of technical design / implementation / consulting experience

  • 10+ years of business development, product management, management consulting, and strategic partnership

  • 5+ years with GenAI/LLM in a business development/partner capacity.

  • 5+ years interfacing with GenAI/ML customers and partners.

  • 5+ years developing and executing on strategic GTM strategies.

  • 7+ years developing strategies that influence leadership decisions at the organizational level

Preferred Qualifications

  • Master’s Degree or PhD in Engineering or related STEM field

  • 10+ years of pre-sales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience

  • Deep hands-on understanding of deep learning and other ML algorithms

  • Thorough understanding of AI/ML technology stack

  • Experience with cloud computing and or related fields

  • Demonstrated ability to work effectively across internal and external organizations is key

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco 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 $140,800/year in our lowest geographic market up to $262,000/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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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