Hybrid Senior AI Product Manager, Customer Engagement

at webAI™

• Job title: Senior AI Product Manager, Customer Engagement
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Austin, United States

About the role

• Drive AI product management for Customer Engagement at webAI. Engaging with customers to deliver effective AI solutions based on their needs.

Responsibilities

• Own the Discovery Process: Lead scoping to produce a **Problem Brief** for every engagement: the job-to-be-done, constraints, success criteria, and reliability expectations.
• Define Evaluation Contracts: Define what data, metrics, and thresholds constitute success before building begins.
• Partner on Technical Approach: Work with AI Engineers to determine the right tool for the job. You must be able to debate the trade-offs of **RAG vs. Long-Context vs. Fine-tuning** based on data, cost, and latency.
• Extract & Standardize: Identify patterns in customer needs to surface platform gaps early; turn field learnings into engineering requirements.
• Enable Focus: Your primary metric is clarity—reducing ambiguity so AI engineers can execute immediately without churning on requirements.
• Synthesize Market Patterns: Look across multiple customer deployments to identify strategic platform gaps. You don't just report bugs; you propose architectural improvements to the core platform based on field evidence.

Requirements

• 5+ years of Technical Product Management or Solution Architecture experience.
• 2+ years specifically shipping AI, ML, Search, or Data products to production.
• Deep Technical Fluency: You can explain the difference between vector search and keyword search, or why a specific prompt strategy is failing. You are comfortable reading technical papers or API docs.
• Proven "Zero-to-One" Execution: Experience taking a product from a loose concept to a live deployment with real users.
• Client-Facing Maturity: Experience navigating complex stakeholder landscapes; you can say "no" to a customer feature request by explaining the technical trade-offs clearly.
• Data-Driven: Proficiency with evaluation frameworks; experience defining "ground truth" datasets.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision benefits package.
• 401k Match (US-based only)
• $200/mos Health and Wellness Stipend
• $400/year Continuing Education Credit
• $500/year Function Health subscription (US-based only)
• Free parking, for in-office employees
• Unlimited Approved PTO
• Parental Leave for Eligible Employees
• Supplemental Life Insurance