Senior AI Behavioral Scientist & Product Analyst

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.

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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

Final date to receive applications: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.

• Design and conduct comprehensive behavioral studies to evaluate AI agent performance across usability, task completion, error recovery, and user satisfaction metrics
• Apply HCI and behavioral science frameworks to understand how users interact with AI systems and identify friction points in agent behavior
• Assess agent reliability, decision transparency, and failure modes from both user and systems perspectives

• Develop user analytics frameworks to track AI agent effectiveness, including KPIs for success, user trust, task completion rates, and cognitive load
• Design and implement instrumentation to collect behavioral and interaction data from user sessions
• Conduct statistical analysis, A/B testing, and cohort analysis to measure AI agent impact and validate product improvements

• Evaluate AI agents holistically across performance dimensions: accuracy, latency, cost efficiency, scalability, and robustness
• Model and communicate trade-offs between performance dimensions (e.g., accuracy vs. speed, cost vs. quality)
• Identify bottlenecks and systemic issues affecting user experience across the full AI-user interaction lifecycle

• Translate behavioral findings and analytics into actionable product recommendations and roadmap priorities
• Partner with product managers, engineers, and designers to validate hypotheses and guide feature development
• Create dashboards, reports, and narratives to communicate behavioral insights to stakeholders and leadership

• Prior experience evaluating AI systems, machine learning models, chatbots, or autonomous agents
• 4+ years of professional experience in user analytics, product analytics, behavioral research, or HCI research roles
• Strong foundation in human-computer interaction (HCI) principles and behavioral science fundamentals (cognitive load, mental models, task completion, user trust, etc.)
• Demonstrated proficiency…