Staff Analytics Engineer - Enterprise Data AI/ML

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.

The Technology, Data, and Intelligence Team

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.

The Staff AI/ML Analytics Engineer Opportunity

Okta is seeking a Staff AI/ML Analytics Engineer to join our Data & Insights team. This role is a mission-critical position responsible for defining and owning the metadata and semantic layer of our data products that power AI/ML use cases, ensuring clean, trusted, and well-modeled data that powers analytics and AI/ML across the company.

As a Staff Analytics Engineer, you will play at the intersection of data engineering, analytics, and applied AI/ML, defining business logic, join paths, and metric frameworks while also enabling AI/ML systems to understand and respond to user intent. You will partner with product, engineering, data science, and business stakeholders to deliver reliable data products that drive decision-making and improve prompt outcomes.

This role is ideal for someone who can go deep on data modeling and technical architecture, while also thinking strategically about how data and AI/ML come together to create scalable solutions with impact on business growth.

What you’ll be doing

• Own and Evolve the Semantic Layer: Design and manage the semantic layer for Okta’s Enterprise data and analytics products, including data models, labeling, and integrations.

• Define Business Logic and Metrics: Establish join paths, calculations, and metric definitions that ensure consistent, trusted reporting across the company.

• Translate User Intent into Data Structures: Build systems that map natural language queries to model-friendly structures, enabling AI/ML analytics to deliver accurate results.

• Iteratively Improve Prompt Outcomes: Analyze, tune, and refine how our AI/ML systems interpret and respond to user queries, creating feedback loops for continuous improvement.

• Metric Definition Understanding: Ensure metrics and semantic layer are understandable and explorable through development documentation and data catalog.

• Collaborate Cross-Functionally: Partner with data engineers, analytics leads, technology teams, and business stakeholders to deliver scalable, AI/ML-driven data solutions.

• Champion Best Practices: Set standards for semantic modeling, metric governance, and AI/ML analytics integration across the organization.

• Mentor and Influence: Provide thought leadership to peers and junior engineers, fostering a culture of excellence, curiosity, and data-driven innovation.

What you’ll bring to the role

• Experience: 7+ years of progressive experience in data engineering, analytics engineering, or applied AI/ML, with demonstrated leadership at the staff level.

• Technical Depth: Expertise in SQL and semantic layer technologies (e.g., LookML, dbt, Cube, AtScale, or equivalent). Strong background in dimensional modeling, ELT pipelines, and metric frameworks.

• AI Analytics Acumen: Experience with AI tools, ML, and predictive analytics to enhance decision making and automate processes.

• Business Partnership: Proven ability to partner with non-technical stakeholders to translate business requirements into robust data solutions.

• Communication Skills: Strong ability to simplify and explain complex data/AI concepts to diverse audiences.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

And extra credit if you have experience in any of the following!

• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).

• Experience with metadata-driven data governance frameworks.

• Background in SaaS, security, or identity industries.

#LI-MC1

#LI-Hybrid

#P23809_3284411

The annual base salary range for this position for candidates located in the San Francisco Bay area is between:
$173,000—$259,000 USD

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.

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:
$154,000—$232,000 USD

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 Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.