Business Development & AI Enablement Specialist

IgniteTech; South Africa; Hybrid; ZAR 1,800,000 - 3,000,000; Full time

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

Where Machine Learning Meets the Deal Table — And You Run Both

Most AI roles keep you distant from the customer. Most sales roles keep you distant from the tech. This one refuses to choose. We need someone who can build an ML forecasting model before lunch and use the insights it produces to reshape how an enterprise sales team closes seven-figure deals after lunch.

You’ll sit at the center of a global B2B sales organization with a clear charter: make AI the operating system for how we sell. That means designing GenAI-powered tools reps actually use mid-conversation, owning predictive models that keep leadership steps ahead of the market, and steering the strategic direction of AI across every sales channel we operate in.

No one will hand you a backlog of tickets. You’ll set the agenda, ship the solutions, and answer for the results — in revenue terms.

Your Day-to-Day Impact

• Architect real-time selling intelligence — build and deploy GenAI systems that push deal scores, competitive talking points, and upsell triggers to reps during live customer interactions, driving a targeted ≥20% increase in conversion rates.


• Develop self-correcting forecast models — create ML-driven engines that predict pipeline outcomes, market disruptions, and competitive threats at ≥95% accuracy, automatically recalibrating within 48 hours when conditions change.


• Chart the AI-in-sales strategy — design the multi-year roadmap that determines how AI transforms prospecting, negotiation, and post-sale expansion across geographies and segments.


• Grow the next generation of AI talent — mentor L2 specialists through architecture reviews, paired problem-solving, and structured skill development so the team scales alongside the ambition.


• Translate models into momentum — present AI outcomes, strategic proposals, and ROI analyses to senior leaders and cross-functional partners in language that sparks action, not glazed eyes.


• Deliver market intelligence that moves the needle — produce AI-generated competitive analyses and scenario plans that give leadership a decision-making edge.

Explicitly Not Part of This Role

• Manual CRM upkeep or spreadsheet reporting — you build the automation that replaces these.


• Waiting for an innovation board to greenlight your ideas — you own tool design, model architecture, and go-live timelines.


• Research disconnected from commercial impact — every model ships with a revenue or accuracy target attached.


• Maintaining legacy platforms on life-support — the mandate is reinvention, not preservation.

What You Bring

Required

• 3+ years in B2B enterprise software sales, consistently managing and closing complex, multi-stakeholder deals.


• Hands‑on, production-level experience with Generative AI and LLMs (ChatGPT, Claude, Gemini, Copilot, or equivalent) applied in a commercial setting — prototypes that reached real users, not just sandbox experiments.


• Demonstrated ability to build or deploy ML models — forecasting, lead scoring, classification, or similar — within a sales or go-to-market workflow.


• Solid grounding in sales strategy: pipeline management, customer journey design, competitive positioning, with tangible examples of AI improving each.


• Excellent communication skills across audiences — comfortable explaining gradient boosting to a data engineer and explaining ROI to a CRO in the same afternoon.


• Mentorship or technical leadership experience guiding team members through AI/ML project delivery.

Differentiators

• Experience with real-time data infrastructure — Kafka, Spark Streaming, or comparable streaming platforms.


• Familiarity with sales engagement tools (Gong, Outreach, Salesloft) and their integration ecosystems.


• Competitive intelligence or market research work enhanced by AI techniques.


• Prior ownership of an AI strategy at the department or business‑unit level.


• Thought leadership at the AI‑and‑revenue intersection — published pieces, conference presentations, or community contributions.

What You’ll Develop Here

• End-to-end deployment fluency — take AI tools from whiteboard sketch to daily use by a global salesforce, learning what it takes to ship and sustain at scale.


• Strategic leadership acumen — build the muscle to design, defend, and iterate a multi-year AI roadmap measured against P&L outcomes.


• Cross‑functional influence — sharpen your ability to align sales, product, and engineering around AI-driven initiatives by quantifying value in business language.


• Cutting‑edge technical depth — stay immersed in the latest LLM advances, agentic AI patterns, and prompt-engineering methods as the field accelerates.


• Predictive market intelligence expertise — deepen your craft in scenario planning, competitive modeling, and forward-looking analysis powered by AI.