VP of Engineering

Thanks for your interest in working with us.

This is an overview of the problem we are solving, what weve done so far, and how you can get involved.

We are a secure, automated machine learning platform for integrating, analyzing, and protecting sensitive data.

Enterprises cannot safely leverage their data for analytics and machine learning because of security, privacy, and regulatory risks.

The company's technology enables enterprises to securely analyze and share sensitive data without exposing any confidential information.

Unlike traditional methods which remove or obfuscate information, we enable analytics across all data elements and data sources with the highest standard of security and privacy.

We are deployed with the worlds largest enterprises across healthcare, technology, and financial services, solving entrenched problems around operationalizing data.

We have raised $12.6M in capital and contracted seven-figure annual recurring revenue from customers.

We are backed by Bain Capital Ventures, Nyca Partners, Silicon Valley Bank, Bloomberg, and Peter Thiel.

We have a strong culture of teaching, learning, and constant improvement.

Our team includes senior executives from Fortune 500 companies as well as PhD-level cryptographers, researchers, and machine learning engineers with decades of experience with top organizations such as Google, Uber, MIT, and the US Department of Defense.

We are advised by Enrique Salem, former CEO of Symantec, Hans Morris, former President of VISA, and world experts in security and machine learning.

Responsibilities Rapidly scale engineering organization Oversee algorithms research, machine learning infrastructure, front-end development, and QA Ensure delivery of high quality, enterprise-ready features and products Recruit and develop top technical talent Collaborate with CTO on architecture Provide technical authority in sales discussion with C-level IT executives Provide architectural and implementation advice to customers and partners Contribute to overall business strategy Requirements 10+ years of VP-level engineering management experience with a track record of managing through managers and running the entire engineering organization Proven ability to rapidly scale engineering organizations at high growth companies while maintaining the highest standards of talent, product quality, and culture Strong organizational management skills, with a toolkit of processes and best practices ready on day one Extensive track record of developing high-performance enterprise technologies Experience with big-data engineering technologies, such as Hadoop and Spark Strong communication with both technical and non-technical stakeholders, such as customers, executives, employees, recruiters, and vendors Deep understanding of and experience implementing information security best practices Strong entrepreneurial mindset Recommended Experience managing research scientists Experience managing front-end development teams Extensive network of technical talent Knowledge of modern and legacy enterprise IT environments Experience developing and deploying machine learning architectures at scale Understanding of functional programming paradigms Hands-on experience developing enterprise products with deep theoretical underpinnings Mathematical depth sufficient to understand academic literature in machine learning Masters or PhD in in machine learning or related field (mathematics, computational physics, statistics, etc.) Our team solves hard, real-world problems that impact every data-driven organization.

We are looking for more people that thrive in an open environment working on deeply technical challenges.

If you are interested in interviewing for this position, please submit an application below.

Thanks for your consideration.

We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.

We expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: x 823