- Matric
- Bachelor’s degree Sales, Marketing, Business or in a relevant field preferred
Experience
- At least 3 years’ experience in a business development or B2B sales role.
- Experience working with CRM systems and using data to drive decision-making.
- Demonstrated ability to generate leads, manage long sales cycles, and close complex deals.
- Experience engaging with internal stakeholders and external partners at various levels.Skills and Competencies
- Solid knowledge of business development strategies and B2B sales methodologies.
- Skilled at identifying new market opportunities and positioning solutions effectively.
- Proficient in sales automation and CRM tools (e.g. Salesforce, HubSpot).
- Excellent communication and presentation skills.
- Strong negotiation and closing capabilities.
- Entrepreneurial mindset with the ability to take initiative and work independently.
- High level of integrity and ability to build trust-based relationships.
- Analytical thinker with strong commercial acumen.
- Persistent and resilient in achieving targets and dealing with rejection.
- Collaborative, with an ability to influence cross-functional teams.
DIGITAL AND AI FLUENCY
At Ignition Group, digital and AI fluency is not a nice-to-have — it is a core performance requirement for every role, at every level. As AI and automation reshape how work gets done, the ability to work confidently and responsibly alongside these tools is as fundamental as any technical or professional skill.
What this means in practice:
- Digital fluency — navigating and using digital platforms, tools, and systems relevant to your role with confidence and competence
- AI tool adoption — actively using approved AI productivity tools (e.g., Microsoft Copilot) to improve the quality, accuracy, and efficiency of your work
- Data literacy — reading, interpreting, and applying data and AI-generated outputs to make better decisions, not replacing your judgement but sharpening it
- Automation awareness — recognising tasks and processes that can be improved through automation, and contributing to those improvements
- Learning agility — staying curious, upskilling continuously, and adapting as tools and practices evolve
- Responsible and ethical AI use — understanding data privacy obligations, the limits of AI-generated content, and applying sound human judgement at all times