Senior Gen Ai GTM Specialist, Amazon Bedrock

Senior Gen Ai GTM Specialist, Amazon Bedrock

16 Apr 2024
California, Sanfrancisco, 94102 Sanfrancisco USA

Senior Gen Ai GTM Specialist, Amazon Bedrock

DescriptionAre you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Gen Ai background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Amazon Bedrock team as a Business Development Specialist!The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams are made up of specialists with deep technology and industry expertise who help carry their fields into the future. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.Key job responsibilitiesDo you want to help define the future of Go to Market (GTM) for Amazon Bedrock? In this role, you will be responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of Amazon Bedrock across industry verticals. You will engage with product managers to influence product direction and help our customers tap into new markets by utilizing Amazon Bedrock along with other AWS Services. Amazon Bedrock hosts a number of foundation models, you will be working directly with the model providers around developing joint-GTM plans, joint-customer engagements, external/internal evangelism, and developing demos and proof-of-concepts using Amazon Bedrock.Key Responsibilities: Lead GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams to accelerate adoption of your aligned technology domain. Leverage your deep domain expertise to create best in class field enablement and sales strategy. Support field teams in solution building for high priority customers. Bring market signals back to product teams to drive innovation on AWS product roadmaps. Own reporting and planning cadences to AWS executives on GTM plan execution. Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.Basic Qualifications (L6) 7+ years of relevant GTM, Sales, or Consulting experience 5+ years of Machine Learning ExperiencePreferred Qualifications (L6) Exceptional interpersonal and communication (both written and verbal) skills. Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders. Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders. Experience and success in negotiating complex deals with customers and partners. Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions. Deep understanding of cloud technologies, including public and hybrid cloud platforms. Technical background in engineering, computer science, or MIS a plus.About the teamThe Bedrock Go-To-Market team is a specialized group focused on driving the global strategy for empowering customers to harness the power of cutting-edge Generative AI technology using Amazon Bedrock. We develop innovative programs and content to showcase the boundless business value of this technology for customers, from automating repetitive tasks to supercharging content creation and reimagining customer experiences through more natural conversational interfaces. With sales, we support winning key customers for Amazon Bedrock. We also work closely with world-class AI model providers, ISV partners, and Systems Integrators to build robust offerings that unlock new and pioneering use cases for customers, while also partnering with the engineering teams behind Amazon Bedrock to ensure the future roadmap aligns with real customer needs and feedback.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | San Francisco, CA, USA | Seattle, WA, USABasic Qualifications

6+ years of developing, negotiating and executing business agreements experience

7+ years of relevant GTM, Sales, or Consulting experience.

5+ years of Machine Learning Experience.

Preferred Qualifications

MBA

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 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 $118,400/year in our lowest geographic market up to $220,200/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. 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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