Startup GTM Ops Lead: AI-Driven Growth & Strategy

Amazon Web Services (AWS)

San Francisco (CA)

On-site

USD 147,000 - 199,000

Full time

14 days+

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Job summary

AWS is seeking a Startups GTM Ops Lead to join the Startups GTM Ops team. The role delivers strategic insights on global tech trends, startups, and venture capital, guiding how the Startup business approaches customers, deploys resources, and competes in a rapidly growing environment.

The ideal candidate will build models, run scenario analyses, and translate complex data into concise recommendations for senior leadership.

Qualifications

  • Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field.
  • 5+ years of experience in Sales Operations, Strategy, Finance, Business Development, or analytical roles within technology companies
  • Experience building financial models, solving complex problems quantitatively, and developing actionable data-driven business recommendations
  • Experience working with large-scale data tools (e.g. SQL, Python, Excel) and producing executive-level written materials for senior audiences
  • Experience in GTM strategy, including coverage/segmentation strategy, resource allocation, incentive compensation modeling, or territory planning

Responsibilities

  • Structure ambiguous problems and develop frameworks that drive decisions.
  • Independently identify questions, build analytical approaches, and deliver recommendations.
  • Synthesize analysis into concise, decision-ready narratives for executives and lead reviews.
  • Collaborate across sales, operations, business development, finance, marketing, and partner teams globally.

Skills

Sales operations
Strategy
Finance
Analytics
Business development

Education

Bachelor's degree

Tools

SQL
Python
Excel

Job description

AWS is seeking a Startups GTM Ops Lead to join the Startups GTM Ops team. The role delivers strategic insights on global tech trends, startups, and venture capital, guiding how the Startup business approaches customers, deploys resources, and competes in a rapidly growing environment.

The ideal candidate will build models, run scenario analyses, and translate complex data into concise recommendations for senior leadership.

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