Social Media Specialist

Posted May 1

Social Media Specialist (Junior)

Be part of the revolution! Join us in sharing AI with the world.

We are seeking a motivated, creative and driven Junior Social Media Manager to join our growing team. 

In this role, you will be responsible for developing and scaling social media content across multiple brands and social channels including YouTube, LinkedIn, Twitter, Instagram, TikTok and Facebook. 

Responsibilities:

  • Work with Digital Marketing Strategist to develop and implement social media that aligns with the company's objectives
  • Create and schedule engaging social media content that resonates with our target audience
  • Monitor and respond to social media conversations, comments, and messages
  • Research and analyse social media trends and make recommendations to the Digital Marketing Strategist
  • Monitor and report on social media performance using various analytics tools
  • Assist in the management of social media advertising campaigns
  • Collaborate with the Design, Copywriting and Video content team to create multimedia content for social media platforms
  • Stay up-to-date with the latest social media trends and best practices
  • Incorporate AI tools and efficiency tools to maximise output and delivery 
  • Design for and within company brand & guidelines
  • Managing campaign, events, ads, launches, promotions on social media
  • Monitoring industry trends and competitors.
  • Content boosting and planning
  • Content creation is also welcomed

Requirements:

  • Bachelor's degree in Marketing, Communications, or a related field
  • 1-2 years of experience in social media management or a related field
  • Excellent written and verbal communication skills
  • Knowledge of social media platforms, analytics tools, and social media advertising
  • Ability to work independently and as part of a team
  • Strong organisational and project management skills
  • Proficiency in Canva and Present Day AI Tools is a plus 

If you are interested in this role, please send a list of sample channels you have directly created content for along with your CV and a brief cover note. 

Why Should You Apply? 

We have a number of captivating reasons.

Including the exponential growth that you experience.

We are working on the assumption that you’re an A-Player in your field. So we’re offering you something a bit different. A bit less run-of-the-mill.

Our internal brand mission is to Leverage Yourself. And we have created a working environment that is designed to do just this: 

(*Leverage means moving from a 1:1 output to a 1:N, where N is exponential)

  1. We have a decentralised business model that gives you the freedom, autonomy and responsibility to make an impact in the tech space.  
  2. Our culture is built on a set of principles that places staff before customers and driven by a healthy obsession for creating real customer value. 
  3. We have a mentorship-over-management approach which empowers you to make important decisions with the right support. 
  4. Your career path should be determined by you, not us. Teraflow's role is to support you in your journey, so we’ve flipped the traditional HR model to a self-determined performance approach. The more you learn to leverage yourself, the faster you grow.  
  5. We are a remote-first business with head offices in London, Johannesburg, and Cape Town offices. 

In case you are wondering, here is what we do at Teraflow: 

We are a Data / Machine Learning Engineering consultancy that specialises in making AI work for our clients. 

Our brand promise: We Deliver. 

We deliver consistently; every two weeks, through self-managed, agile squads. Using our FloJo (our delivery Mojo) and our way of working, we've been able to differentiate ourselves in the market. 

We work across a variety of global industries, where:

  • Our Data engineers fix the big data sprawl problem;
  • Our Machine Learning engineers productionise and optimise ML models;
  • Our Cloud Architects scale ML through the use of Cloud and Hybrid computing (GCP, AWS & Azure certified);
  • Our DevOps Engineers expose ML models through microservice-driven APIs.

If you feel there is a strong match between us, let's have a chat!