We are an alert service for early signs of risk
We are building a great team, with amazing people, that are passionate about what they are doing. We love to build and grow teams , personally and professionally.
We are an experienced founders with multiple exits. Our experiences range cyber intelligence and media publishing platforms, focusing on big data, ML, AI, and vast tech expertise to build platforms
We have a different approach to the problem, tackling a frontier that has never been disrupted
Our engineering team works within the product organization and reports in to the Chief Product Officer and Co-Founder (who has previously been a CTO with several successful exits). The team has a solid research base and is ramping up on the application design, UI/UX and application roles.
We use a kanban style of work, where the goal is to limit work in progress, and avoid the confusion of over-working or context switching. The expectation of management is that we're all transparent with goals, workload, capabilities and priorities. Management frequently communicates upcoming opportunities.
ML models, scaling, big-data experimentation, and storage, encryption, data privacy, data collection
Determine which data sources can be obtained and stored which may help predict risk or over-indexing performance, especially systemically in a large organization.
Work to create and preset reports for various role-based user types within the system.
Create and alerts system which would send specific alerts based on the permission of the user receiving the alerts - in the event of a change or notable data pattern.
We have a mix of discipline and humor. The company works hard, values quick first iterations and early contributions during the employment period. We understand there is a learning curve and we look for the type of person comfortable with thinking in unorthodox ways about previously unaddressed problems.
Medical, dental and vision
Can work from home
As needed, and if makes business sense. We also work with universities, and are engaged with professors to do research
With go out to drinks every two weeks
Interested in this company?
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