We believe in a flat organizational structure and everyone at our company wears many different hats. Our team is comprised of everything from engineers and designers to operations and sales managers. We value open and honest communication and use slack to stay up to date on all current company business.
Our engineer team is passionate about pushing the boundaries in IoT and machine learning.
We believe that a holistic approach to design is necessary to take a product from start to finish.
We're a startup and our business team is lean and agile with an eagerness to test out new ideas.
We're growth hackers at heart, who are eager to try new ideas and let data tell us what works.
Our high energy, fast paced sales team believes hard work and good relationships are the key to success.
We're a people first culture that believes in creating a transparent and open work environment.
We believe in and value our employees and therefore we strive to make the best work environment possible. We are a "culture first" focused environment with flexible work hours and custom work stations. We believe everyone should wear what makes them comfortable, work the hours they are the most productive, and work from where they get the most done.
Open Paid Time Off
Continued Learning Opportunities
Health, Vision, and Dental
As a full stack engineer at Leverege you’ll be at the forefront of the tech industry, building Internet of Things (IoT) systems that have never been built before. You’ll have the opportunity to quickly grow your skills and abilities and have an impact on the engineering team from day one. This role is perfect for someone who is fascinated by the latest technologies and wants to work with containers/virtual machines and gain hands-on experience building massively scalable pub/sub systems on top of AWS, GCP, Azure, and IBM Watson. IoT is a fast-moving, highly-competitive market, so this role is for faster-learners who excel at teaching themselves on the fly. If you want to build the future rather than react to it, Leverege is the perfect fit for you.
The Internet of Things industry is predominately 'made by engineers, for engineers". Leverege is changing that with our passion and dedication to human-centered design. At Leverege, we don't believe in design specialists. We want a designer who can draft illustrations for the marketing team one day and start documenting user interactions for a new client interface the next. You will work closely with both the marketing and product team, crafting client UIs, building the Leverege website (company website -- www.leverege.com) and IoT For All website (rapid growing Tech publication -- www.iot-for-all.com), designing pitch decks, drafting ad campaigns, illustrating blog posts, documenting user interactions, laying out research papers, and more. Start-ups are a fast paced environment, and we want someone who can prototype, iterate, collaborate, and complete a project rapidly and at the highest standard.
Leverege is seeking an Enterprise Sales Executive with extensive experience and proven success selling cloud-based analytics platforms, Internet of Things (IoT) software technology, and/or “big data”-centric B2B software applications/services. You will be selling our Jumpstart packages (Jumpstart Essentials and Jumpstart Essentials Pro) and nurturing closed deals into much larger, long-term SaaS and development contracts.
As the Internet of Things industry explodes in size (estimated $6 trillion over the next five years), Leverege will continue to rapidly grow with it. We are already the leader in IoT simulation and will become the dominant IoT SaaS provider in the industry. You have the opportunity to fuel this growth, be an integral contributor to our team, and to reap the benefits of our success. We are offering generous commissions on all deals closed and there is no cap on compensation. The more revenue you book, the more you make.
Leverege is seeking a Data Scientist/Data Engineer with a significant experience in data analytics, machine learning, and/or artificial intelligence. Proficiency in one of the programming languages for analytics (Python, R, MATLAB/Octave) is required and experience with a deep-learning framework (Tensorflow, Caffe, Theano) is a plus. You will be responsible for building the data analytics/machine learning platform (Reason) for Leverege IoT suite and enabling Leverege customers to gain actionable insights from simulated and existing IoT data. Other opportunities to contribute to natural language processing capabilities will be available contingent on prior experience in this field.
Interested in Joining our team but it's not the right time? Keep in touch! We're a rapidly growing startup and always have our eyes peeled for fresh talent.