Product Manager (Machine Learning)

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 , 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:

• 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.
• 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).

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

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