Qureos Mentor

Okta

<div><div><p><b>Get to know Okta</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
Join our team! We're building a world where Identity belongs to you.</p></div><p><b>
The Technology, Data, and Intelligence Team</b></p>
<p>
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.</p>
<p><b>
The Staff Data Scientist Opportunity</b></p>
<p>
We are looking for a <b>Staff Product Data Scientist</b> to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta's Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You'll define the long-term data science roadmap while partnering closely with Okta's diverse Product Management teams and executive leadership.</p>
<p><b>
What you'll be doing</b></p>
<ul>
<li><b>Strategic Product Influence:</b> Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>
<li><b>Advanced Analytics and Modeling:</b> Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>
<li><b>Deep-Dive Insight Generation:</b> Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>
<li><b>Data Ecosystem Partnership:</b> Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>
<li><b>Data Preparation and Curation:</b> Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>
<li><b>Executive Communication and Influence:</b> Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>
</ul>
<p><b>What you'll bring to the role</b></p>
<ul>
<li>7+ years of experience in data science or ML, including 3&ndash;5 years in a senior, staff, or technical leadership role.</li>
<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>
<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>
<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>
<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>
<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>
<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>
</ul>
<p><b>And extra credit if you have experience in any of the following!</b></p>
<ul>
<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>
<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>
<li>Experience enabling self-service analytics or citizen data science capabilities.</li>
</ul>
<p>#LI-MC1</p>
<p>
#LI-Hybrid</p>
<p>
#P23809_3392886</p><div><p><b>
What you can look forward to as a Full-Time Okta employee!</b></p>
<ul>
<li>Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
<p>Some roles may require travel to one of our office locations for in-person onboarding.</p>
<p>
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.
<br>
<br>
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.<br>
<br>
<b>Notice for New York City Applicants &amp; Employees:</b> Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please <b>click here</b> to view our full NYC AEDT Notice.<br>
<br>
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</p></div></div>

Staff Data Scientist

<div><p><b>Get to know Okta</b><br>
<br>
Okta is The World&rsquo;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.<br>
<br>
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.<br>
<br>
Join our team! We&rsquo;re building a world where Identity belongs to you.</p><p><b>
The Technology, Data, and Intelligence Team</b></p>
<p>
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.</p>
<p><b>
The Staff Data Scientist Opportunity</b></p>
<p>
We are looking for a <b>Staff Product Data Scientist</b> to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta&rsquo;s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You&rsquo;ll define the long-term data science roadmap while partnering closely with Okta&rsquo;s diverse Product Management teams and executive leadership.</p>
<p><b>
What you&rsquo;ll be doing</b></p>
<ul><li><b>
Strategic Product Influence:</b> Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>
<li><b>Advanced Analytics and Modeling:</b> Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>
<li><b>Deep-Dive Insight Generation:</b> Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>
<li><b>Data Ecosystem Partnership:</b> Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>
<li><b>Data Preparation and Curation:</b> Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>
<li><b>Executive Communication and Influence:</b> Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>
</ul><p><b>
What you&rsquo;ll bring to the role</b></p>
<ul><li>
7+ years of experience in data science or ML, including 3&ndash;5 years in a senior, staff, or technical leadership role.</li>
<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>
<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>
<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>
<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>
<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>
<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>
</ul><p><b>
And extra credit if you have experience in any of the following!</b></p>
<ul><li>
Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>
<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>
<li>Experience enabling self-service analytics or citizen data science capabilities.</li>
</ul><p>
#LI-MC1</p>
<p>
#LI-Hybrid</p>
<p>
#P23809_3392886</p>
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $184,000&mdash;$253,000 USD<p>
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, 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/us.<br>
<br>
</p>The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$164,000&mdash;$226,000 USD<p><b>
What you can look forward to as a Full-Time Okta employee!</b></p>
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul><p>
Some roles may require travel to one of our office locations for in-person onboarding.</p>
<p>
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.
<br>
<br>
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.<br>
<br>
<b>Notice for New York City Applicants &amp; Employees:</b> Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please<br>
<br>
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</p></div>
<br><div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div><p>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</p></div></div></div></div><div></div>

<div><p><b>Get to know Okta</b><br>
<br>
Okta is The World&rsquo;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.<br>
<br>
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.<br>
<br>
Join our team! We&rsquo;re building a world where Identity belongs to you.</p><h2 class="jobSectionHeader"><b>
The Solutions Engineering Team</b></h2>
<p>
We believe Solutions Engineers at Okta are involved in all stages of the customer&rsquo;s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta&rsquo;s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta&rsquo;s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta&rsquo;s Identity Platform.</p>
<h2 class="jobSectionHeader"><b>
The Solutions Engineer Opportunity</b></h2>
<p>
Reporting to the Senior Manager of Solutions Engineering, the Senior Solutions Engineer is a trusted advisor, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.</p>
<h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3>
<p>
As a Senior Solutions Engineer, you&rsquo;ll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:</p>
<ul><li><b>
Serve as a technical advisor:</b> Partner with the sales team to educate customers on Okta&rsquo;s identity solutions and demonstrate their value.</li>
<li><b>Solve customer challenges:</b> Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.</li>
<li><b>Lead technical engagements:</b> Answer product and technical questions, and plan and deliver complex <b>Proofs of Concept (POCs)</b> by collaborating with other Okta engineering teams.</li>
<li><b>Drive product and knowledge growth:</b> Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.</li>
<li><b>Stay ahead of the curve:</b> Keep up with competitive analysis and market differentiation to better position Okta.</li>
<li><b>Support company events:</b> Represent Okta at marketing events, including conferences, user groups, and trade shows.</li>
</ul><h3 class="jobSectionHeader"><b>What You&rsquo;ll Bring</b></h3>
<ul><li><b>Experience:</b> 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.</li>
<li><b>Technical Acumen:</b></li>
<li><ul><li>Deep understanding of <b>identity protocols</b> (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).</li>
<li>Working knowledge of cloud platforms like <b>AWS, Azure/Entra, and GCP</b>.</li>
<li>Experience with <b>REST APIs and SDKs</b>.</li>
<li>Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).</li>
<li>Understanding of identity-related <b>cybersecurity topics</b> (e.g., phishing, MFA bypass attacks, privilege escalation).</li>
</ul></li><li><b>Communication &amp; Presentation Skills:</b> The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.</li>
<li><b>Strategic Mindset:</b> Proven skills in territory management, including building pipelines and collaborating with sales counterparts.</li>
<li><b>Travel:</b> Ability to travel up to 25% of the time.</li>
<li><b>Education:</b> A Bachelor's degree in Engineering, Computer Science, or a comparable field is preferred.</li>
</ul><h3 class="jobSectionHeader"><b>Bonus Skills (Ideally, You Have)</b></h3>
<ul><li>Hands-on knowledge of <b>Identity Governance (IGA)</b> or <b>Privileged Access Management (PAM)</b> solutions.</li>
<li>Deep understanding of securing privileged accounts, including Just-in-Time (JIT) access, session recording, and secrets management.</li>
<li>Practical experience with <b>Windows Server, Active Directory, LDAP, and Federation services</b>.</li>
<li>Proficiency in CNAPP/CSPM, UNIX/Linux, database/network security, or DevOps practices.</li></ul><br>
<p></p>
<p>
#LI-Remote</p>
<p>
#LI-CM</p>
<p>
(P8431_3392237)</p><br>
<p>Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, 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/us.</p><br>
The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$200,000&mdash;$275,000 USD<p><b>
What you can look forward to as a Full-Time Okta employee!</b></p>
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul><p>
Some roles may require travel to one of our office locations for in-person onboarding.</p>
<p>
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.
<br>
<br>
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.<br>
<br>
<b>Notice for New York City Applicants &amp; Employees:</b> Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please<br>
<br>
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</p></div>
<br><div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div><p>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</p></div></div></div></div><div></div>

Senior Solutions Engineer, Okta

Join Okta and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Okta

About Company

Staff Data Scientist

Staff Data Scientist

Senior Solutions Engineer, Okta