- Salary
- $120k – $200k/yr
- Location
- Texas, United States
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Products
- Seniority
- Senior
- Experience
- 4+ years
- Visa
- Not sponsored
- Source
- Lever
Description
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.
Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.
Position details
Title of position: Senior AI Behavioral Scientist & Product Analyst
Position type: Full time
Location: Austin, TX
Position reports to: Senior Director AI Product Foundations Engineering
Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.
Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time
Scope:
-
We are seeking an AI Behavioral Scientist and Product Analyst to evaluate and optimize the usability and systems performance of our AI agents and autonomous systems. This role combines deep expertise in human-computer interaction (HCI), user behavior analysis, and systems-level thinking to assess how AI agents perform in real-world contexts and identify opportunities for improvement. The ideal candidate will use quantitative analytics, behavioral science principles, and systems thinking to drive data-informed product decisions and ensure AI systems are both effective and user-centric.
Extreme Networks is building Agent ONE, an AI operating model for networking embedded in Extreme Platform ONE. We’re looking for a mid-level AI Product Analyst to own the instrumentation and reporting that prove Agent ONE is working, adopted and valued by customers, and linked to retention and revenue.You’ll sit between Product, Engineering, and UX Research: helping define what to measure, making sure its instrumented right, building the dashboards, and telling the story the data reveals about product success and customer value.