Get to know Okta
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.
#LI-SH1
#LI-Remote
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals.
- Demonstrates Self-Awareness (EQ): Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.
- Develops Talent: Developing people to meet both their career goals and the organization’s goals.
- Drives Results: Consistently achieving results, even under tough circumstances.
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.
Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.
What you can look forward to as a Full-Time Okta employee!
- Amazing Benefits
- Making Social Impact
- Developing Talent and Fostering Connection + Community at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Some roles may require travel to one of our office locations for in-person onboarding.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
