Join the Team Reinventing the Brick & Mortar Shopping Experience at IOB

Join the Team Reinventing the Brick & Mortar Shopping Experience at IOB 

Imagine working at a company where you experience the best of both worlds: the fast-paced execution of a startup paired with the guidance of leaders who have built successful scalable solutions. Led by veteran innovator Hannes van Rensburg, we are not just rethinking the evolution of physical retail—we are redefining it. 

We believe that physical retail is NOT dead; rather, it has yet to evolve alongside today’s modern customers. Many shoppers are migrating to online platforms because physical retail has fallen short in convenience, selection, pricing, and enjoyment. We need your expertise to make it happen. At The Internet of Behaviors Company (IOB), we envision a future where physical shopping becomes an enjoyable social and retail experience once again. Our goal is to connect physical storefronts with customers in a way that rivals the convenience of online shopping. We’re looking for great teammates to help us shape the future of connected retail, and we invite you to join us. 

You will be part of a skilled team that is fundamentally reshaping physical retail, which still accounts for 80% of the overall industry. Together, we will invent a new standard for customer experience, personalized service, and ultimately, a delightful way to shop. You will work alongside some of the brightest minds in technology, develop cutting-edge software and hardware solutions, and be empowered to tackle challenging problems that will stretch your skills and enhance your thinking. If you are ready to join us in building the future of connected retail, we want to hear from you. 

About the Team & Role 

At IOB, our mission is supported by a strong and scalable data infrastructure that enables real-time analytics, machine learning, and advanced AI solutions. The Data Engineering & AI Team plays a crucial role in this vision, ensuring we produce the very best business decisions and consumer products with our insights, analytics, and modeling. 

As the VP of Data Engineering & AI, you will be essential in driving our data architecture and strategy across our internal systems and consumer products. You will directly lead and mentor a leadership team responsible for Data Engineering, Data Science, Data Analytics, and AI/ML modeling. This executive position allows you to utilize modern Big Data practices to maintain the reliability, performance, and scalability of our systems. Whether you are optimizing data pipelines, improving cloud platform utilization, or developing predictive analytics, your contributions will help our team deliver innovative solutions to complex challenges across differing and unique customer deployments. 

If you are passionate about optimizing access to Big Data, building innovative generative models, and providing your team with the highest standard of mentorship, robust tools and processes, we want you on our team.  

Key Responsibilities 

• Developing organizational technical capabilities to enable the ingestion, integration, modeling, and transformation of internal and external datasets at scale.
• Strategic influence and collaboration with technology leaders across various functions to optimize IOB’s technology environment and enhance operational efficiency.
• Drive performance management via communicating job expectations, monitoring performance, providing feedback and facilitating employee development.
• Design and maintain a technical roadmap, ensuring alignment with user needs, strategic business objectives, stakeholder expectations, and technological advancements.
• Lead and expand data science capabilities, overseeing the development of predictive models, machine learning solutions, and advanced analytical frameworks.
• Define, track, and report metrics and KPIs that measure the success and impact of your team's AI solutions.
• Manage costs associated with running data infrastructure and operations.
• Assessing risk when making business decisions, ensuring compliance with data privacy laws and regulations, and safeguarding IOB’s reputation.

Requirements 

• Bachelor’s or Master’s degree in Engineering, Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 10+ years of hands-on experience in data engineering practices with AI model development and training.
• Track record of recruiting and developing talent in a global environment; strong management expertise and proven experience developing senior talent.
• An expert understanding of data engineering, including data architecture design, data pipeline development, data modeling, data quality, and governance.
• Demonstrated experience in platforms and data science tools to solve complex business problems, including machine learning, quantitative methods, predictive modeling, and any other relevant analytics technology frameworks and techniques.
• Strong understanding of networking concepts, security best practices, and cloud architecture patterns.
• Proven ability to troubleshoot complex system and infrastructure issues under time constraints.
• Experience managing global technology teams across multiple time zones.
• A collaborative mindset with excellent communication skills to work across teams.

Bonus Points & Other Considerations 

• Experience with high volume concurrent, and AI-focused architectures.
• Familiarity embedded and edge compute platforms.
• Experience optimizing cost and performance for ML cloud workloads.
• Strong scripting skills for automation and tooling.
• Experience in consumer or retail technologies.
• Experience engaging with stakeholders at an executive level.

Benefits 

• Competitive compensation package
• Medical, dental & vision coverage
• 401(k)
• Unlimited PTO program
• Hybrid work schedule

If you are ready to join a company that is on a mission to make today’s physical retail experience more convenient, affordable, and enjoyable—then we want to hear from you! Apply today and let’s build this together.  

The Internet of Behaviors Company, Inc. considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.