Okta for Developers · 1 day ago
Staff Analytics Engineer - Enterprise Data AI/ML
San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$173K/yr - $259K/yr
7+ years expOkta is The World’s Identity Company, providing secure access and authentication solutions. They are seeking a Staff AI/ML Analytics Engineer to manage the semantic layer of data products, ensuring clean, trusted data for analytics and AI/ML use cases while collaborating with various stakeholders to drive decision-making.
Computer Software
Responsibilities
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
Qualification
Required
7+ years of progressive experience in data engineering, analytics engineering, or applied AI/ML, with demonstrated leadership at the staff level
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
Experience with AI tools, ML, and predictive analytics to enhance decision making and automate processes
Proven ability to partner with non-technical stakeholders to translate business requirements into robust data solutions
Strong ability to simplify and explain complex data/AI concepts to diverse audiences
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
Preferred
Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG)
Experience with metadata-driven data governance frameworks
Background in SaaS, security, or identity industries
Benefits
Health, dental and vision insurance
401(k)
Flexible spending account
Paid leave (including PTO and parental leave)
Company
Okta for Developers
Resources for developers using Okta’s Identity services: Okta's Customer Identity Cloud (aka Auth0 by Okta or CIC) and Workforce Identity Cloud (WIC).
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase