AI-Driven Enterprise Sales Architect

IgniteTech

South Africa

Hybrid

ZAR 1,800,000 - 3,000,000

Full time

14 days+
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Job summary

IgniteTech is seeking a Sales leader who blends AI and enterprise software. You will build GenAI-powered tools reps actually use mid-conversation, own predictive models, and steer the AI strategy across our global sales channels.

Day-to-day you’ll architect real-time selling intelligence, deploy high-accuracy forecast models, design a multi-year AI-in-sales roadmap, mentor AI talent, and translate outcomes into revenue actions for senior leaders.

Qualifications

  • 3+ years in B2B enterprise software sales closing complex deals.
  • Hands-on experience with Generative AI in commercial settings.
  • Experience deploying ML models within a sales workflow.
  • Strong sales strategy and pipeline management experience.
  • Excellent communication across technical and executive audiences.
  • Mentorship or leadership in AI/ML projects.

Responsibilities

  • Architect real-time selling intelligence and deploy GenAI systems to improve conversion.
  • Develop self-correcting forecast models with high accuracy.
  • Chart the AI-in-sales strategy and multi-year roadmap.
  • Mentor L2 specialists and scale the AI team.
  • Translate AI outcomes into revenue actions for leadership.
  • Produce AI-generated competitive analyses to inform decisions.

Skills

B2B enterprise software sales
Generative AI
LLMs
Forecasting / lead scoring models
Strategic mindset
Cross-functional communication

Education

Bachelor's degree in related field

Tools

Kafka
Spark Streaming
Gong
Outreach
Salesloft

Job description

IgniteTech is seeking a Sales leader who blends AI and enterprise software. You will build GenAI-powered tools reps actually use mid-conversation, own predictive models, and steer the AI strategy across our global sales channels.

Day-to-day you’ll architect real-time selling intelligence, deploy high-accuracy forecast models, design a multi-year AI-in-sales roadmap, mentor AI talent, and translate outcomes into revenue actions for senior leaders.

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