Account Executive- Data as a Service

Snorkel AI Snorkel AI · Data AI · New York, NY +1 · 415 - DaaS Sales & Success

Account Executive for Data-as-a-Service (DaaS) at Snorkel AI, focusing on selling to AI/ML leaders and organizations building AI capabilities. The role involves managing the full sales cycle, building pipeline, and diagnosing customer challenges related to data, model development, and production AI workflows. Requires 5+ years of quota-carrying experience in complex, technical sales environments.

What you'd actually do

  1. Own the full sales cycle from prospecting through close and expansion
  2. Build and manage pipeline across large, high-potential accounts (net new focus)
  3. Sell into AI/ML leaders at LLM companies and vertical AI startups, as well as large organizations building internal AI capabilities
  4. Run a structured, multi-threaded sales process across technical and executive stakeholders
  5. Diagnose customer challenges across data, model development, and production AI workflows

Skills

Required

  • 5+ years of quota-carrying experience in a complex, technical sales environment (AI/ML, data infrastructure, or technical services)
  • Proven track record of closing 6–8 figure deals with technical buyers and senior stakeholders
  • Experience competing against incumbents or redefining a category
  • Comfortable selling into highly technical personas (ML engineers, data scientists, AI founders)
  • Strong ability to lead both technical and business value conversations
  • Structured, disciplined operator with strong pipeline management skills
  • High ownership, low ego, highly coachable

Nice to have

  • Background in ML/data workflows or experience selling into AI teams
  • Experience in high-growth, early-stage or category-creating companies

What the JD emphasized

  • 5+ years of quota-carrying experience in a complex, technical sales environment (AI/ML, data infrastructure, or technical services)
  • Proven track record of closing 6–8 figure deals with technical buyers and senior stakeholders
  • Comfortable selling into highly technical personas (ML engineers, data scientists, AI founders)