Application Deadline: 31 May 2026
Department: Back Office & Operations
Employment Type: Full Time
Location: Cape Town, South Africa
Reporting To: Raj Shah
Please note:
We use banding codes (e.g., C1, C2, C3, S1, S2, S3…) to reflect different levels of experience and competency within each job title. These bands range from 1 to 3, with higher numbers indicating more senior roles. While the job title remains the same, the responsibilities and expectations vary by band, so we encourage candidates to read the role description carefully and apply for the banding that best aligns with their experience and career stage.
This position is Hybrid in Cape Town with 2-3 days on site per week. Candidates from outside of Cape Town will not be considered for this position.
A few application tips:
We want to help you put your best foot forward. Here are a few things we look for:
If you’re unsure whether your background is the “perfect fit,” we still encourage you to apply. We value potential and growth just as much as experience.
We’re looking for an ambitious early-career sales professional with 1–3 years of experience in a BDR, SDR or inside sales role, ideally within enterprise technology, data, cloud or consulting services. This is not a role for someone who wants to make 100 cold calls a day - it’s a role for someone who wants to research deeply, write sharp outbound, and build pipeline into complex enterprise accounts.
You should have experience with multi-channel outbound prospecting (email, LinkedIn, phone) and a sales engagement platform (Outreach, Salesloft, Apollo or similar). Familiarity with CRM discipline (Salesforce preferred) is expected. Some understanding of the cloud data ecosystem - Snowflake, Databricks, SAP, or the broader modern data stack - is an advantage, but we’ll train the right person on the technical context. What we can’t train is research instinct, written communication quality, and the discipline to prospect consistently without supervision.
Experience selling into or prospecting CDO, Head of Data or VP Analytics personas is a strong advantage. Any exposure to the SAP ecosystem or SAP SI landscape is a bonus given the practice weighting. You should be comfortable operating across three different technology propositions simultaneously and adapting your messaging accordingly.
OTE with a 70/30 base/variable split. Variable is paid on SQOs accepted by the relevant Account Executive - not on raw meetings booked - which means quality over quantity is rewarded. You’ll be working alongside three experienced AEs and a Demand Gen / ABM Manager, with access to enterprise-grade tooling (Salesforce, Cognism, LinkedIn Sales Navigator, sales engagement platform, 6sense intent data). Clear progression path to Account Executive within 18–24 months for high performers.

We help ambitious organisations unlock the full value of their data by designing and building the ultimate data stack. Trusted by Fortune 500 and FTSE 250 companies across sectors, including CPG, Manufacturing, Financial Services and Energy, we simplify complex environments and connect data, tech, and people to drive innovation. Our experts in SaaS and SAP guide you from strategy to activation, enabling high-impact use cases in Analytics, Machine Learning, AI, and Generative AI - fueling smarter decisions and business growth.
What we can help you with:
Data Platform Strategy, AI Readiness, AI Strategy, Data Governance, SAP Data Strategy, Cloud Migration, Data Integration (ETL), Data Engineering, Data Architecture, Machine Learning (ML), Data Ops & Automation, Generative AI, Data Visualisation, Analytics
Our Partners Include:
AWS, Snowflake, Matillion, Databricks, Sigma, Fivetran, Pyramid Analytics, DBT