--- title: 'Product Manager (Machine Learning) at takealot.com' canonical: 'https://feeny.ai/job/product-manager-machine-learning-takealot-com-cape-town-t41vp3nhsrmg' type: 'job' last_seen: '2026-09-11' --- # Product Manager (Machine Learning) at takealot.com - **Company:** takealot.com - **Location:** Cape Town, South Africa - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/takealotcom/jobs/8184898 ## Job description Takealot.com, South Africa's leading online retailer, is looking for a highly talented Product Manager in Machine Learning to join our team in Cape Town. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us! Think you've been challenged before? Think again! - Scale: Over 4.5 million happy shoppers shop online on takealot.com. Show them what you can do. - Learn: We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time. - Grow: Expand your career in the fast-growing Takealot Group: [takealot.com](http://takealot.com), TFS and Mr D. We like to promote from within: Here's your chance. This position reports to the Product Lead: Data Monetisation & ML Your responsibilities will include the following: - Create and facilitate the delivery of the Machine Learning roadmap for one or more of the Takealot Group’s key AI focus areas: - Merchants (Retail & Marketplace) - Supply Chain & Logistics - You will work closely with relevant business units to identify opportunities for driving meaningful business results through ML solutions and then work with stakeholders to prioritize projects for roadmap inclusion. - Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects reliably against projected roadmap timelines (set and communicated to stakeholders quarterly by you). - Gather and use quantitative and qualitative data to help formulate product requirements. - You will also be responsible for defining and reporting on the success metrics of the projects on your roadmap. - Effectively move the needle of your vertical’s “North Star” metric through consistent execution of machine learning projects. - Become an effective evangelist of machine learning within the business vertical you serve; help stakeholders understand the capabilities and potential value of ML as well as its limitations. - Break large problems into iterative improvements that meaningfully address stakeholder and customer needs. - Balance longer-term product vision and goals with short-term wins. Attributes Required: - Ability to distill technical subjects to their fundamental concepts, to facilitate the effective exchange of ideas between business stakeholders and software development teams. - Strong commercial acumen for understanding the factors driving business success in a fast-paced e-commerce environment - Be comfortable with data deep-diving, individually and collaboratively, in order to generate product-level insights. - Be proactive in exploring your problem space and surroundings, in support of the product vision and roadmap of your team. - Collaborate with engineering teams to reduce uncertainty and set actionable deliverables. - Has a drive to actively unlearn and relearn mental models for as long as there is supporting data. Experience and Qualifications: - Product experience: - 7+ years of related and transferable experience or 3+ years of product management experience. - Experience leading and executing cross-functional projects, preferably in high-traffic environments. - Familiarity and proficiency with agile methods and tools to support project management in a timeline-sensitive environment. - High accountability when it comes to meeting deadlines and ship dates. - Preferably, a proven track record in delivering machine learning and/or data products, including defining AI/ML problems, defining data strategies, building ML MVPs, and subsequent maturing iterations at scale. - Data experience: - A solid understanding of AI/ML and engineering fundamentals, allowing you to understand and earn the respect of experienced machine learning engineers and data scientists. - Experience with Google Sheets and/or Microsoft Excel at an advanced level. - Experience with MySQL or PostgreSQL, and BigQuery or a similar technology, preferably in a high-load environment. - Preferable: Experience with either Python or R/RStudio as an aid to product decision-making. - Qualifications: - Preferably, a Bachelor’s Degree in Management Science, Statistics, Data Science, or Computer Science. Let’s talk about life @ Takealot Group - The power is in your hands: We offer a market-related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny. - No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab and make something great. - Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds. - Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best, by learning from the best. - Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera and more. - Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini-golf, think good times). - Staff discount. Millions of products across 28 departments. What more could you ask for? - Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it. - Right tools, right job: Mac or Windows, two monitors or one. Whatever your preference, you’ll work on the latest tech, off the latest tech. - Help when you need it most: Confidential counselling, legal support and financial guidance, for free, anytime, anywhere. - Free parking: No more 5km fun runs to your desk (unless you want to). Like what you see? If you meet the above you are an Extraordinary Mind. Apply today!! Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference. ## About takealot.com ## Company Overview - **One-liner**: Takealot.com is South Africa's largest online retailer, offering millions of products across 30+ categories through a marketplace and owned logistics network. - **Entity Type**: Private (division of Takealot Group, majority-owned by Naspers; total funding $1.2B across multiple rounds) - **Headquarters**: Cape Town, South Africa - **Founded**: 2011 - **Founders**: Kim Reid ## Core Business - Primary industry/industries: E-commerce / Online Retail - Target customers: B2C consumers across South Africa, plus B2B services for 12,000+ marketplace sellers - Mission or purpose: "Changing lives in South Africa for the better through e-commerce." ## Products & Services - **Takealot.com Marketplace**: Core e-commerce platform offering millions of products from local and international brands, with options for delivery or collection at 100+ Pickup Points (including 30+ Pick n Pay locations). - **Mr D**: On-demand food delivery service (part of Takealot Group). - **Superbalist.com**: Online fashion and homeware retailer (part of Takealot Group). - **TakealotMORE**: Membership/loyalty program offering perks and faster delivery. - **Seller CAPITAL**: Funding program for marketplace sellers. - **Pickup Points**: Nationwide network for order collection, including in-store Pick n Pay locations. - **Exclusive Brands**: George & Mason, Getup, Campground, Fire Up. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (Takealot Group is private, majority-owned by Naspers) - **Key Metric**: Annual Revenue of $808M (2024) for takealot.com; takealot.com became profitable in 2024; Takealot Group targets group profitability by 2026. - **Notable Investors/Partners**: Naspers (majority owner, 96% stake), Tiger Global Management (early investor), Pick n Pay (pickup point partner) - **Growth Signals**: +18% employee headcount growth YoY (2,162 employees); 105 active job postings (+114% YoY); 288,225 LinkedIn followers (+18.9% YoY); operates in 13 countries ## Competitive Advantages - Largest e-commerce platform in Africa with a vast product selection and owned logistics network (Mr D) enabling fast delivery. - Extensive physical infrastructure: 100+ Pickup Points integrated into grocery stores, reducing last-mile costs. - Exclusive financial tools for sellers (Seller CAPITAL) that lock in marketplace loyalty. - Strong parent company backing (Naspers) providing capital and strategic support. ## Strategic Focus - Achieving group profitability by 2026 after takealot.com's 2024 profit milestone. - Expanding the marketplace ecosystem with more sellers and exclusive brands. - Deepening customer loyalty through TakealotMORE membership and convenient Pickup Points. - Investing in technology and supply chain automation to improve efficiency. ## Why Work Here - Culture values: "Customer-obsessed, entrepreneurial, deliver results fast, achieve more together." - Engineering roles available in Cape Town and Johannesburg, with a focus on Java, Python, Scala, and logistics tech. - Hybrid/remote policy not explicitly stated; roles are based in South Africa. - Notable perks: Opportunity to work on Africa's largest e-commerce platform, exposure to high-scale logistics and marketplace systems, and a diverse, trust-based environment. - Employer rating: 3.2/5 (422 reviews) – strengths in culture (3.4) and career (3.3), but compensation rated lower (2.4). ## Sources 1. [Takealot Group – About Takealot.com](https://takealotgroup.com/takealot-com/) 2. [Takealot Group – Our Story](https://takealotgroup.com/) 3. [Takealot.com LinkedIn](https://za.linkedin.com/company/takealot) 4. [Takealot.com Careers (Greenhouse)](https://job-boards.greenhouse.io/takealotcom) 5. [Crunchbase-style data from LinkedIn](https://za.linkedin.com/company/takealot) (financials and employee info) ## Other roles at takealot.com - [Business Management Intern](https://feeny.ai/job/business-management-intern-takealot-com-cape-town-4ygf7hkmwh62) — Cape Town, South Africa - [Occupational Health and Safety Officer](https://feeny.ai/job/occupational-health-and-safety-officer-takealot-com-cape-town-06944wf6b9xk) — Cape Town, South Africa - [Head of Product - Mr D](https://feeny.ai/job/head-of-product-mr-d-takealot-com-cape-town-k3wjwz93vhdy) — Cape Town, South Africa - [Loss Prevention Lead](https://feeny.ai/job/loss-prevention-lead-takealot-com-johannesburg-9h7ehzfmxqya) — Johannesburg, South Africa - [Mr D - Sales Executive](https://feeny.ai/job/mr-d-sales-executive-takealot-com-cape-town-pzjbge88kcyh) — Cape Town, South Africa - [Mr D - Senior Copywriter and Content Strategist](https://feeny.ai/job/mr-d-senior-copywriter-and-content-strategist-takealot-com-cape-town-w3fda56364n5) — Cape Town, South Africa - [Mr D - Sales Associate (Western Cape)](https://feeny.ai/job/mr-d-sales-associate-western-cape-takealot-com-cape-town-5m2g008wxprz) — Cape Town, South Africa - [Mr D - Partner Success Associate 2](https://feeny.ai/job/mr-d-partner-success-associate-2-takealot-com-cape-town-p44anh9acc61) — Cape Town, South Africa - [Supply chain Intern](https://feeny.ai/job/supply-chain-intern-takealot-com-cape-town-14vv8mb0jfvn) — Cape Town, South Africa - [Complaints Administrator Intern](https://feeny.ai/job/complaints-administrator-intern-takealot-com-cape-town-wnvpn1kqpr68) — Cape Town, South Africa