Business Development Executive, AI Technology

Groundup.ai helps industrial companies prevent unplanned downtime and unnecessary wastages.

Our core solutions lie in Condition Based Monitoring and Predictive Maintenance for a wide range of industries including manufacturing, maritime and construction. We achieve this by deploying our ‘proprietary IoT sensors and AI platform’, thereby helping clients to save substantial maintenance expenses without the need for a huge learning curve or high-risk deployments on the ground.

Our proprietary high-performance IoT sensors are compact and built to withstand harsh industrial environments, allowing for flexible deployments across a wide range of industries, operational sites, and machines. We then leverage our unique 3-dimensional approach to analyze the data collected and do Condition Monitoring for a wide range of machinery, as well as to pick out sound anomalies for Predictive Maintenance, where we accurately identify potential machine failures and downtime.

As we continue bringing our innovative approach to our fast-growing companies to create an impact in the world, we are looking for analytical Management Consultants to join us on our exciting journey.

You will be involved in the development of ground-breaking solutions and products for some of the largest companies in the world ranging from Oil & Gas, Logistics and Shipping, Advanced Manufacturing, and Transportation.

Your work is engaging and electrifying from the moment we clock in for our daily SCRUM. This means that you could be engaging with our clients and their senior management to ensure that our solutions are aligned with their goals, thereafter hopping onto meetings with the Co-Founders of our company who will discuss fitting overall strategic objectives with the product development roadmaps which you’ll be intimately involved in.

You will also work closely with the International Marketing Team and the Global Venture Development Team, consisting of very motivated and talented people who drive our rapidly growing young businesses forward. Management Consultants in Groundup.Ai are given the opportunity to bring their skillsets, passion, and meticulous approaches to our first-class team.

We value team members who execute ideas with gusto and have an insatiable appetite to win.
Groundup.Ai has been able to achieve market leadership positions in industries we are involved in and we are able to prove our concepts rapidly.

If you are interested in joining this dynamic and creative team on this journey, we would love to speak to you.

Minimum qualifications:

• Degree in Business, Business Analytics, Computer Science, Computer Engineering, Economics, or other related disciplines that possess an analytical and quantitative component.
• 1 to 3 years of full-time work experience in a business development or analytics role.
• A self-driven team player with the ability to quickly learn and apply new tools
• An appreciation for structured methodical research, critical thinking, and problem-solving skills with an understanding of the application of these skills in the business environment.
• A natural curiosity to identify, investigate, and understand business problems and create solutions for the industry.
• An ability to analyze and break down complex concepts and technical findings into clear and simple language for communication to team members and clients.
• A passion for Emerging Technologies related to Big Data, Machine Learning, and AI.

Competency in the following is a plus: A data visualization tool (e.g. Tableau, PowerBI,).

Responsibilities

• Manage APAC client projects & software implementations of AI platforms and solutions.
• Define, deliver & debrief APAC client consulting projects & client software implementations.
• Analyse client data to deliver actionable insights to enable our clients to do something different in their business.
• Develop compelling stories, presentations & proposals to share with prospects
• Perform work across diverse industries and projects ranging from predictive maintenance, to data analytics.
• Translate complex findings into simple language and communicate them to internal and external stakeholders, such as your team members and client executives