Job Description

Gaize is building the first poly-drug real-time impairment testing platform. W'e’re starting with cannabis as it’s being legalized rapidly, but there’s no test that can detect active impairment. This presents not only a large market opportunity, but a chance to solve an important societal challenge as well. A reliable solution to roadside cannabis impairment testing is fundamental to full cannabis legalization, and vital to maintaining safe roads and safe workplaces. We’re 100% focused on leading the way in this area, and are looking for a CTO that cares about this problem to join us. If you’re an experienced technology leader who agrees that cannabis should be legal, and that impairment testing is fundamental to that effort, we’d be happy to hear from you.

Gaize is a funded, early-stage technology startup, so you should be familiar with startups, and high risk/high reward environments. Successful applicants will demonstrate excellent communications skills, exceptional competency throughout the technology stack, and should be ready to work hard. We don’t have time for B-players or job hoppers. You’ll be well compensated, respected, and expected to rise to the occasion. This is a unique and extraordinary opportunity to be part of a high-performance team and to pursue a society-altering mission with unique technical challenges.

We’re seeking a Chief Technology Officer who will own the successful development and deployment of the Gaize product. Following modern product development practices, you will be responsible for building stable, polished, and user friendly solutions to complex problems. The work will leverage large amounts of data to draw defensible conclusions about tests performed using virtual reality hardware. You must be experienced in building a rockstar team and delivering above expectations, on time, and on budget. As part of executive management, you will be expected to embody steady, measured leadership in all things.

Compensation

• Executive level salary plus stock options

Location

• We’d prefer to have you join us in beautiful Missoula, Montana. Remote work may be an option for exceptional candidates.

Responsibilities - Strategy & Planning:

• In conjunction with other senior management, directors, and advisors, identify appropriate technical strategies for delivering high performance applications that solve acute customer problems. This will include but not be limited to identifying opportunities for innovation, assessment of technical obstacles and planning to overcome them.
• Evaluate and identify appropriate technology platforms (including VR application and mobile application frameworks, as well as the deployment stack) for delivering the company's products.
• Lead strategic planning to achieve business goals by identifying and prioritizing development initiatives and setting timetables for the evaluation, development, and deployment of all products.
• Participate as a member of the executive management team in establishing governance processes of direction and control to ensure that objectives are achieved, risks are managed appropriately, and the organization's resources are used responsibly.
• Direct development and execution of an enterprise-wide information security plan that protects the confidentiality, integrity, and availability of the company's data and servers.
• Discover and implement new technologies that yield extraordinary customer experiences and solve customer challenges.
• Participate in investor presentations, board meetings, and serve as a constant advocate for Gaize.
• Communicate clearly, and effectively with both technical and non-technical staff, fellow management, customers, advisors, board members and the public.

Responsibilities - Product Development and Deployment:

• Own every aspect of the Gaize VR product, mobile application, and web application.
• Work with internal and contracted developers and data engineers to put high performance machine learning models into production while leveraging software engineering best practices.
• Drive development of machine learning tooling and infrastructure to improve the scale and efficiency of machine learning development.
• Identify and evaluate new technologies to improve reliability, performance, maintainability, and traceability of tests.
• Participate in driving the whole product development life cycle from high uncertainty research and experimentation to deployment in production and maintenance.
• Mentor software and data engineers to foster a culture of technical excellence.

 Requirements

• Successful applicants must have significant prior development experience with experience in machine learning, as well as Android or virtual reality (Unity) development. Bonus points awarded for experience dealing with the challenges of device-to-device communications and remote updates.
• Successful applicants must have deep experience in developing, architecting, implementing and testing software products that are used at scale.
• Experience in managing data processing pipelines (e.g. Spark, Beam, ...) and data mining / data science algorithms either on-premise or on a cloud environment.
• Experience in administrating and ingesting data into standard data warehouses (e.g. Amazon Redshift, Microsoft SQL Server, Google BigQuery or Snowflake).
• Experience architecting data warehouses and/or data lakes for large amounts of structured and unstructured data.
• Experience with data lakes and expertise with designing and maintaining BI solutions.
• Experience with workflow management tools and platforms, such as Airflow.
• Experience with RDBMS and NoSQL databases (e.g. MongoDB).
• Experience in packaging and deploying applications using cloud infrastructure (AWS).
• Familiarity with modern development practices, machine learning and DevOps.
• Master’s degree in computer science, or equivalent experience.
• 8+ years of industry experience as a software/data engineer, with at least 2 years of leadership experience.
• Excellent written and verbal communications skills, excellent leadership skills, and a professional demeanor.