Head of Engineering
24 Jan, 2023
$100000 — $120000 yearly
About the Role
The Head of Engineering role is a VP role and presides over the entire Frontend, Mobile, Backend, DevSecops, IT Shared Services, Program Management, Data and Insights, Research and Innovation departments. He drives the vision, design, strategy, and implementation of integrated web systems in order to support the business. The Head of Engineering leads the development teams and collaborates with other business departments in sales, marketing, revenue, business development, supply chain and finance in order to roll out new solutions, systems and implement the ongoing process improvements of the current systems. He/she is also responsible for: Providing technical leadership to all engineering and development areas Developing and executing an engineering strategy for the company Leading the development and implementation of new product features Managing and mentoring a team of leads and engineering managers Maintaining relationships with internal and external stakeholders
Job Description Generate technical and process improvements Drive world class innovation within Engineering team Identify the balance between the immediate and long term impact of technical direction and guides the global organization to execution in this balance Be a technical, architectural, and career development mentor for the global team of engineers, team leads and engineering managers Author architecture documents for epics, coordinate the interaction between architectural directions across the engineering organization Advocate for improvements to product quality, security, and performance that impact all of Engineering at vendease. Solve technical problems of the highest scope and complexity for the entire organization. Exert significant influence on the overall objectives and long-range goals of Vendease. Ensure that our standards for style, maintainability, and best practices are suitable for the unique problems of scale and diversity of use represented by the Vendease product. Maintain and advocate for these standards through code review. Drive innovation across Engineering with a willingness to experiment and to boldly confront global problems of immense complexity and scope. Actively seek out and prioritize our toughest technical challenges with a goal of creating significant improvement for vendease's use, ease of development, and/or technical efficiency. Represent Vendease and its values in public communication in all aspects of our software development lifecycle and public relations. Interact with customers and other external stakeholders as a consultant and spokesperson for critical projects and aspects of our technical architecture. Confidently ship immense or otherwise extremely high-impact world class features and improvements with minimal guidance and support from other members of the organization. Help create the sense of psychological safety across the global organization. Responsible for managing OPEX/CAPEX and technology program management on budget, time and quality Deliver world class cyber security programs and drive Vendease compliance with country specific data protection and privacy regulations. Deliver SMART strategy for AI/ML adoption across departments with traceable impact on the company revenue and ESG goals
Qualification: Bsc. in Statistics, Mathematics, Computer Science or other quantitative field 6+ years of experience manipulating data sets and building statistical models Strong problem-solving skills with an emphasis on product development Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques
EXPERIENCE Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures using AWS, Heroku and MongoDB. Experienced using MongoDB Graph, Tableau etc Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, DigitalOcean, MongoDB, Heroku etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Why should you join Vendease? Our work culture is great, we value ADVENTURE, TRANSPARENCY, EXCELLENCE, RESPECT and OWNERSHIP. We are a team of audacious Ants whose vision is to ensure that no restaurant ever goes out of business again due to capital or product issues. Our mission is simple, ensure that restaurants can focus on serving their customers. We want to take the headache of food supply and access to capital so that restaurants can continue to serve their customers.
It is not just because we are growing rapidly and want you to be part of a winning team, we are a group of intelligent Ants constantly challenging ourselves to be the best in our industry. Being part of us is an opportunity to be part of a success story, grow an outstanding career and work in a friendly-environment where you can be yourself and thrive in your chosen field.
Our benefits include but are not limited to: Stock Options. Health Insurance. Paid time off (maternity/paternity leave, annual leave) Hybrid work pattern (2 or 3 days work from home based on performance). Quarterly performance bonus based on company target. Training and development opportunities.
Where restaurants in Africa buy food supplies
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