Principal Product Manager - Bluebox

Dynatrace

Linz or Vienna, Austria

We are seeking a Principal Product Manager to define and execute the strategy for this agentic observability offering. You will work cross-functionally to translate cutting-edge AI into scalable, production-grade solutions, fostering adoption and ensuring our innovations deliver real value to enterprise customers and developers.

Your role at Dynatrace

Champion and guide the product vision, strategy, and roadmap for our agentic observability platform, with hyperscale, reliability, and trust in mind;
Define what our agents do and where the limits are: which work they handle autonomously, what stays human-in-the-loop, and how we expand autonomy as trust grows;
Treat trust and safety as first-class product concerns — clear execution traces, audit logs, guardrails, approval flows, and visible error states, so users always understand what an agent did and why;
Define quality and evaluation requirements for agent behavior, including success criteria, evaluation datasets, regression testing, and production monitoring of agent decisions;
Lead go-to-market strategy, pricing, and positioning for our agentic observability offerings;
Define the near-term and long-term product strategy together with your leadership team and product managers, and balance investment across product, maintenance, and innovation;
Align the priorities and workstreams of your area with the core platform and with teams outside it;
Establish clear communication channels and decision-making paths, and keep decisions transparent for a growing organization;
Act as the main contact for other capabilities and leadership teams;
Partner with key stakeholders to gather feedback and identify pain points and opportunities for additional customer and business value;
Stay ahead of industry trends in agentic AI, LLMs, and multi-agent systems to inform product strategy;
Mentor and grow a diverse, interdisciplinary team of product and AI professionals;
Collaborate with a cross-functional team of product managers, engineers, and AI specialists who build the autonomous agents and the orchestration engine they run on.

What will help you succeed

7+ years or equivalent demonstrated expertise of technical product management experience in AI, ML, or a related field in a B2B environment, with a track record of setting product strategy and executing it based on research, data, and industry trends;
Experience with AI/ML or agentic AI products, ideally shipped to production, and a real understanding of how LLM-based systems behave, fail, and are evaluated;
Familiarity with observability, SRE, DevOps, or cloud infrastructure — you understand incidents, on-call, root-cause analysis, and what production reliability demands; Direct observability experience is a strong plus;
A clear sense of how to build trust into an autonomous product, treating safety, guardrails, auditability, and graceful failure as things you design for rather than afterthoughts;
Proven success collaborating with multidisciplinary teams of product managers, engineers, designers, and other business stakeholders;
Leadership experience as either a domain lead or a people manager;
The ability to present to executive leadership, customers, and non-R&D teams, and to tailor key messages to each audience;
The ability to motivate technical people such as developers, architects, and product managers;
An entrepreneurial mindset, with the ability to translate product strategy into business impact;
The ability to think big while breaking work into smaller components and building high-level roadmaps from them;
A clear sense of ownership and accountability, strong communication skills, and a proactive, collaborative approach.
Willingness to travel (< 15%).