Principal Product Manager, Agentic Observability

Dynatrace LLC

Linz

Hybrid

EUR 109,000 - 136,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance to Linz

Job summary

Dynatrace LLC is seeking a Principal Product Manager to shape the strategy and execution of the agentic observability platform. You will translate AI innovations into scalable, production-grade solutions for enterprise customers and developers, leading cross-functional teams across engineering, product, and AI specialists.

You will define autonomy levels for agents, ensure trust, safety, and auditability, and drive GTM strategy, pricing, and market positioning.

Qualifications

7+ years of technical product management in AI/ML for B2B environments, with strategy and execution proven by data and trends.
Experience with AI/ML or agentic AI products, ideally shipped to production; understanding of LLM-based behavior, failures, and evaluation.
Familiarity with observability, SRE, DevOps or cloud infrastructure; incidents, on-call, RCA, production reliability.
Ability to design trust into autonomous products with guardrails, auditability, and graceful failure.
Proven collaboration with product managers, engineers, designers, and business stakeholders.
Leadership experience as a domain lead or people manager.
Ability to present to executives, customers, and non-R&D teams; tailor messages to audiences.
Motivation to translate strategy into business impact; build high-level roadmaps.

Responsibilities

Champion and guide the product vision, strategy, and roadmap for the agentic observability platform with focus on hyperscale, reliability, and trust.
Define autonomous agent scopes: what they do, what is human-in-the-loop, and how to grow autonomy with trust.
Ensure trust and safety as core product concerns: audit logs, guardrails, decision traces, and clear error states.
Set quality and evaluation criteria for agent behavior including datasets, tests, and production monitoring.
Lead GTM, pricing, and positioning for agentic observability offerings.
Align area priorities with core platform and external teams; maintain transparent decision processes.
Mentor a diverse, interdisciplinary product and AI team; collaborate with engineers and AI specialists.
Stay ahead of trends in agentic AI, LLMs, and multi-agent systems to inform strategy.