Manager, Machine Learning (Auth0)

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Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. 
Join our team! We’re building a world where Identity belongs to you.

Auth0

Auth0 technology is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

Machine Learning

The Auth0 Machine Learning (ML) team is responsible for developing various ML models, infrastructure and platform components to enable ML applications at Auth0. The ML engineering manager will help lead, build, and scale the ML team. The ideal candidate will have experience leading ML engineering teams with a deep technical background in ML modeling, infrastructure and large scale distributed systems. They will also show passion generally for the field of applied machine learning as well as promoting a data-driven culture across the organization.

Responsibilities

• Lead an inclusive, diverse agile Machine Learning Engineering team focused on customer value delivery, and with deep experience in production ML model development, infrastructure and distributed systems.
• Build a culture of discovery, learning, and experimentation on a distributed team through continuous coaching and mentoring.
• Partner with product management and engineering leadership to define the roadmap that enables the next generation of ML products. Lead planning, execution, and delivery of ML models, pipelines and integrations.
• Implement process improvements that drive operational excellence and create efficiency during a time of massive growth.
• Drive improvements on aspects such as operation, test automation, code quality, and performance and cost efficiency.
• Maintain our high security, performance and availability SLA as we scale. 
• Communicate verbally and in writing to business customers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.
• Partnership across Engineering, Product Management, Security and Design teams to solve technical and non-technical challenges.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Statistics or a related quantitative field. 
• 2+ years as an engineering manager with experience building and supporting geo-dispersed teams.
• Experience leading development of ML model development, infrastructure, and MLOps at scale. Bonus points for familiarity in cybersecurity. 
• Proven ability to collaborate effectively with cross functional stakeholders, and to hire and mentor top technical talent at different experience levels.
• Strong written and verbal communication skills. Ability to effectively interface with business, executive and technical teams.
• Exceptional quality orientation and a demonstrated ability to build and lead a high-performance team. 
• Experience with agile software development balanced with enterprise software customer needs.
• Ability to deal well with ambiguity, ability to self-motivate, prioritize needs, and deliver results in a dynamic environment.

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