Data Foundations GTM Specialist - GenAI Startup Growth

Amazon

Greater London

Sur place

GBP 110 000 - 170 000

Plein temps

Il y a 9 jours

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Résumé du poste

Amazon, through the Worldwide Specialist Organization (WWSO) Startup team in EMEA, seeks a Data Foundations specialist to help startups adopt AWS technologies. You will engage with CxO-level leaders and technical teams to shape data solutions, drive revenue, and align go-to-market programs with marketing and partner networks.

A strong Data background and startup experience are essential. You will collaborate with cross-functional teams across analytics, databases, and storage, developing

Qualifications

  • Bachelor's degree required.
  • Experience in Go-To-Market, BD, Sales, or Consulting.
  • Experience with Data Foundations (Analytics/Database).
  • Familiarity with agentic coding tools and open-source software.

Responsabilités

  • Interact with CxO/VP and technical teams to drive adoption and revenue for GenAI/PhysicalAI startups at AWS.
  • Collaborate with Database, Analytics, and Storage teams to create reference architectures and patterns.
  • Develop and deploy programs leveraging AWS Field teams and partner channels.
  • Own GTM strategy and execution for Data, collaborating with Sales, Partners, Marketing, and Specialists.
  • Work with Marketing to align digital campaigns to drive awareness and demand.

Connaissances

Go-To-Market
Business Development
Sales
Consulting
Data Foundations
Open-source software
Software development tools

Formation

Bachelor's degree
MBA

Outils

Coding tools

Description du poste

Amazon, through the Worldwide Specialist Organization (WWSO) Startup team in EMEA, seeks a Data Foundations specialist to help startups adopt AWS technologies. You will engage with CxO-level leaders and technical teams to shape data solutions, drive revenue, and align go-to-market programs with marketing and partner networks.

A strong Data background and startup experience are essential. You will collaborate with cross-functional teams across analytics, databases, and storage, developing

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