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Enterprise AI Development Strategist

Scale AI · New York, NY; San Francisco, CA · San Francisco, CA

CHECKED 14H AGO

Infrastructureonsitemid-level
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At a glance

Highlights

  • Own early-stage enterprise AI opportunities through Stage 2 qualification.
  • Educate customers on AI infrastructure, workflows and output methodology.
  • Partner with Enterprise AEs to transition qualified deals into sales cycles.

What they offer

  • Base salary
  • Sales commission eligibility
  • Equity
  • Stock options
  • Benefits

Ideal candidate

A curious, consultative seller energized by educating enterprise customers on AI and owning early pipeline in a fast-moving team.

Requirements

  • 1-2 years as an account executive OR 4+ years in outbound sales, business development, SDR, BDR or closing roles
  • Experience selling SaaS, infrastructure, data, or technical products preferred
  • Demonstrated ability to generate qualified pipeline and exceed targets
  • Strong consultative communication and discovery skills
  • Ability to educate customers on complex technical concepts and workflows
  • Experience working in fast-paced, high-growth environments
  • Excellent writing and verbal communication skills
  • Strong sales process skills with Salesforce, Outreach, Slack, Clari preferred
  • Ability to collaborate with cross-functional teams and sales leadership
  • Strong organizational skills and ability to manage multiple opportunities
  • Technical curiosity or familiarity with AI, machine learning or data infrastructure

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗