AI Technical Product Manager

Experience Required: 12+ years

Key Responsibilities: 

Define and own the product vision and roadmap for Dynatrace Intelligence, including Davis AI, Grail, and AI-powered analytics.

Drive use cases for anomaly detection, root cause analysis, event correlation, predictive capacity, and auto-remediation. 

Hands-on experience configuring and tuning Davis AI, DQL queries, Grail data models, and Gen3 dashboards.

Validate AI outputs, reduce noise, and improve precision of alerts and problem cards.  

Define KPIs tied to availability, MTTR reduction, alert quality, cost optimization, and operational automation. Ensure observability intelligence supports SLOs, error budgets, and operational readiness.

Partner with SRE and operations teams to operationalize AI-driven insights into runbooks and automation. 

Act as the primary product interface for observability intelligence with internal stakeholders and strategic clients. Communicate roadmap, value, and outcomes to executive, technical, and client audiences.

Incorporate client feedback into prioritization while balancing platform standards and scalability. 

Drive enablement across product, support, and engineering teams on AI-driven observability concepts and tooling. Establish governance for AI models, alerting standards, and observability data usage.

Required Qualifications: 

Bachelor of Science or Engineering (or equivalent experience) with 8+ years of experience in platform engineering, observability, reliability, or technical product management roles.

5+ years of hands-on experience with Dynatrace SaaS, including Davis AI, DQL, Grail, and log analytics.

Strong understanding of AI/ML concepts as applied to AIOps, including anomaly detection, causality, signal-to-noise optimization, and predictive analytics.