Takealot Product Manager Machine Learning Jobs in South Africa

Takealot Product Manager Machine Learning Jobs in South Africa

  • takealot.com, a leading South African online retailer, is looking for a Product Manager (Machine Learning) to join our Takealot Product team in Cape Town.

  • We are a young, dynamic, hyper growth company looking for smart, creative, hardworking people to join us.

  • We offer market related benefits, a great work environment and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

    This position reports to the Artificial Intelligence Product Lead

    The Team

  • You will be part of a world-class artificial intelligence team comprised of experts in machine learning, data science, and software engineering.

  • The team’s focus is on accelerating the impact of machine learning across the Takealot Group portfolio of companies, developing AI-by-design services across multiple focus areas to improve the experience of our users and make our operations more efficient.

    The Role

  • As a Machine Learning Product Manager you will create and facilitate the delivery of the Machine Learning roadmap for one or more of the Takealot Group’s key AI focus areas; Search & Recommendations, Supply Chain & Logistics, or Retail & Marketing.

  • 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.

  • To execute on your roadmap you will work hand in hand with a team of dedicated data scientists, data engineers and machine learning engineers, aiming to deliver projects reliably against projected roadmap timelines (set and communicated to stakeholders quarterly by you).

  • You will also be responsible for defining and reporting on the success metrics of the projects on your roadmap.

  • Success in this role means being able to effectively move the needle of your vertical’s “North Star” metric through consistent execution of machine learning projects.

  • It also means becoming an effective evangelist of machine learning within the business vertical you serve; helping stakeholders understand the capabilities and potential value of ML as well as its limitations.

    The Requirements

  • A strong record in delivering machine learning and/or data products including defining ML problems, identifying data strategy, building ML MVP and scaling/productizing a prototype to full-scale production.

  • Experience leading and executing cross functional projects. 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, and ability to lead numerous
    projects simultaneously under time constraints.

  • A solid understanding of ML and engineering fundamentals, allowing you to understand and earn the respect of experienced engineers and data scientists.

  • Enjoy making difficult things happen, leading the way in doing things for the first time, changing current ways of working and solving the many challenges along the way.

  • Ability to facilitate thoughtful and constructive conversations within and outside the team and an ability to communicate complex ideas effectively.

  • Preferably, a degree in a quantitative field such as Computer Science, Mathematics, Engineering, Statistics (or other similar quantitative fields).

    Key Attributes and Competencies

  • Strategic orientation with an attention to detail.

  • Structured thinking, ability to remove ambiguity and work under pressure.

  • Self-starter and moves quickly.

  • Decisive and able to take accountability, and balance multiple priorities.

  • Can solve complex problems and distil into deliverables.

  • Proficiency to work closely and collaboratively with multiple departments and executives, and in cross-functional teams.

  • Exceptional communication and presentation skills.

    The Environment

  • takealot.com employees are entrepreneurial and dynamic, smart, customer- centric, fun and have the shared ambition of takealot.com being the leading e- commerce company in Africa.

  • We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve.

  • We are short on ego and high on output.

  • We are doers and not only thinkers, its all in the execution after all.

  • We love what we do and what we are creating.

    We seek to Employ an Extra Ordinary Mind who

  • is forthright but respectful

  • is an expert at doing, who can not only design but also execute

  • is analytical, able to use data to make decisions

  • is competitive, self-directed and strive to be the BEST (GREAT requires a lot of work and does not only happen during business hours

  • is passionate about the potential of e-commerce and delivering a world-class customer experience

  • is entrepreneurial, thrives under change and accepts it is a constant and always looks for solutions to do something better and faster

  • is able to think about problems from a business perspective using technical and product input

  • is curious and challenge the status quo

  • is innovative and enjoys iteration

  • is collaborative

  • will be at the cutting edge of developing new concepts for takealot.com.

  • thinks like an owner of the business.


    How to Apply

    For more information and job application details, see; Takealot Product Manager Machine Learning Jobs in South Africa

  • Click here to post comments

    Join in and write your own page! It's easy to do. How? Simply click here to return to Job Vacancies in Africa.

    Scholarship 2020/21

    Undergraduate Scholarships 2020/2021
    Masters Scholarships,
    PhD Scholarships,
    International Scholarships.