Solution Architect (OCTO Data) - US

WHO WE ARE

Come join the company at the center of how the world adopts AI securely. Cyera’s mission is to give enterprises the confidence to embrace AI safely — deciding exactly what it can see and do as it reaches deeper into the business. We started by solving the hardest problem in data security: finding and securing data faster and more precisely than anyone thought possible. That foundation is now the essential AI trust infrastructure for the Fortune 1000. We’re hiring mission-driven talent to put those leaders at the center of our story.

THE OPPORTUNITY

A technical role on Cyera’s OCTO Data team, focused on maximizing the value customers get from the Cyera platform — making it work better for each customer’s unique data environment and feeding insights back into the product.

This team is the breathing feedback loop between the field and the product. You’ll sit at the intersection of real-world customer data challenges and Cyera’s classification models, platform capabilities, and product roadmap. When the field encounters a gap between what Cyera delivers out-of-the-box and what a customer needs, you’re the person who understands why, fixes it, and ensures the product learns from it.

Your work directly influences model tuning and product evolution. The patterns you uncover across customer environments become the signal that shapes what R&D builds next. This isn’t a support role — it’s a technical role where your expertise compounds into platform-wide improvements that benefit every customer.

RESPONSIBILITIES:

• Analyze customer data environments using SQL to identify gaps, anomalies, and opportunities to improve platform accuracy and coverage
• Drive the feedback loop — translate field findings into actionable inputs for model tuning, product improvements, and R&D priorities
• Design and build internal tools and automation that scale the team’s ability to deliver value across customers
• Collaborate with field teams to ensure Cyera’s platform is tuned and configured for each customer’s specific data landscape
• Create and maintain documentation, runbooks, and best-practice frameworks
• Partner with R&D and Research to close the gap between out-of-the-box capabilities and customer reality

Requirements

REQUIRED QUALIFICATIONS:

• 4+ years of hands-on experience working with large, complex datasets — including data analysis, manipulation, and deriving actionable conclusions
• B.A./B.S. in Economics, Business, Computer Science, Data Science, or a related analytical field — or equivalent practical experience
• Proven ability to diagnose and solve ambiguous, multi-layered technical problems
• Strong experience with structured and unstructured data—able to write and optimize queries, analyze datasets, and surface actionable insights, including strong proficiency in SQL.