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Scale AI•Data AnalyticsGraduateOn-site

Enterprise AI Development Strategist

New York, NY; San Francisco, CACompetitive • Active Opening
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Verified opening from Scale AI's official portal

Role Description & Responsibilities

Data Analytics

About Scale AI

Scale AI is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.

CadetX Candidate Advantage: As an applicant for this Data Analytics role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.

CadetX Role Brief & Company Specifications

Role Mission & Impact

The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology.

This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation.

Key Responsibilities & Day-to-Day Scope

  • ✓ Own outbound prospecting and customer engagement through Stage 2 qualification
  • ✓ Drive customer outreach and education during the M1 phase of the sales process
  • ✓ Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology
  • ✓ Lead discovery conversations to identify and qualify high-potential enterprise opportunities
  • ✓ Develop key narratives, content, and research through Stage 2 qualification
  • ✓ Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy
  • ✓ Partner closely with Account Executives to transition qualified opportunities into active deal cycles
  • ✓ Develop a strong understanding of enterprise AI deployment patterns and customer use cases
  • ✓ Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools
  • ✓ Operate effectively within a verticalized sales organization across industries including Consumer, Financial and Professional Services, and Healthcare & Life Sciences (HCLS)
  • ✓ Thrive in a fast-moving environment while balancing customer education, outbound activity, and pipeline quality
  • ✓ 1-2 years of experience as an account executive OR 4+ years of experience in outbound sales, business development, SDR, BDR, or closing roles

Official Qualifications & Technical Requirements

  • • Experience selling SaaS, infrastructure, data, or technical products preferred
  • • Demonstrated ability to generate qualified pipeline and exceed activity or revenue targets
  • • Strong consultative communication and discovery skills
  • • Ability to educate customers on complex technical concepts and workflows
  • • Strong intellectual curiosity and willingness to develop expertise in AI fundamentals and enterprise AI workflows
  • • Experience working in fast-paced, high-growth environments
  • • Excellent writing and verbal communication skills
  • • Strong sales process and systems skills (Salesforce, Outreach, Slack, Clari preferred)
  • • Demonstrated ability to collaborate effectively with cross-functional teams and sales leadership
  • • Strong organizational skills, attention to detail, and ability to manage multiple opportunities simultaneously
  • • Technical curiosity or familiarity with AI, machine learning, or data infrastructure highly valued

Preferred Skills & Technology Stack

  • + Experience working with cloud data warehouses (Snowflake, BigQuery, or Amazon Redshift).
  • + Familiarity with Git version control and collaborative code review workflows.
  • + Demonstrated portfolio or capstone projects exhibiting practical end-to-end analytics problem solving.

Tech Stack & Tools in this role

Expected technical competencies for Day 1 productivity:

SQL Data Querying & Complex Joinspandas & Python AutomationPower BI & Executive DashboardsStatistical Analysis & Monetization

★ Life & Culture at Scale AI

Verified Employer

Scale AI champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.