Manager of Machine Learning, Okta
FedRAMP, Customer Identity
$180-302k
Salary dependent on location
More information about location
Management platform securing resources from cloud to ground
Open for applications
Management platform securing resources from cloud to ground
1001+ employees
Open for applications
$180-302k
Salary dependent on location
More information about location
1001+ employees
Company mission
To improve the connections between people and tools to make companies more productive and secure.
Role
Who you are
- The ideal candidate will have experience leading ML engineering teams with a deep technical background in ML 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
- Bachelor's degree in Computer Science, Engineering, Statistics or a related quantitative field
- Familiarity with ML infrastructure, ML model lifecycle, and MLOps at scale
- 2+ years of technology leadership focused on large scale production ML systems and platforms, with experience managing geo-dispersed software engineering teams
- Proven ability to earn respect, trust from people you work with, 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, prioritizing needs, and delivering results in a dynamic environment
What the job involves
- The Machine Learning Infrastructure team is responsible for developing various infrastructure and platform components to scale up machine learning operations
- The ML Engineering manager will help lead, build, and scale the ML Infrastructure team
- Lead an inclusive, diverse agile Machine Learning Engineering team focused on customer value delivery, and with deep experience in production ML 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 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
Our take
Okta started off as an identity company where organisations, large and small, could tap into the company to have a single sign-on interface to access all cloud applications now centralised. Okta has since expanded to provide identity management at the device as well as the server level.
The new approach towards network security is increasingly based on identification and authentication, and Okta is on track to become the go-to vendor in the space. They aim to do so by developing products that enable people to access applications and other tools more smoothly and securely than ever before.
Okta has taken strides towards expansion through significant employee growth and shuffling executive leadership. The company has also made lateral moves such as tackling governance concerns, opening up new paths for revenue.
Freddie
Company Specialist
Insights
Some candidates hear
back within 2 weeks
19% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2015
$75m
SERIES F
Jun 2014
$75m
SERIES E
Total funding: $229.3m
Company benefits
- Work from home opportunities
- Health + Wellness
- Financial Benefits
- Pay + Incentives
- Time Off
- Everyday Living
- Resources
Company values
- Love our customers
- Never stop innovating
- Act with integrity
- Be transparent
- Empower our people
Company HQ
The East Cut, San Francisco, CA
Articles
Founders
Todd McKinnon
(CEO)VP of Development at Salesforce.com and has nearly a decade of experience in various engineering and leadership roles at PeopleSoft.
Frederic Kerrest
(Vice Chairman)Worked in Sales and Business Development at Salesforce.com, and previously co-founded high-tech consulting firm Meridian Global Solutions.
People progressing
Joined as Senior Manager, Recruiting EMEA and promoted to Director, Recruiting EMEA after 3 years. Promoted again to Senior Director, Recruiting EMEA after another 3 years.
Diversity & Inclusion at Okta
- Workforce: We believe in recruiting diverse talent to create balanced teams
- Workplace: We support and empower employees to be authentic and grow through open conversations and education
- Marketplace: We go to market and sell to diverse audiences
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