Dynatrace is looking to drive the continued acceleration and adoption of cloud-native and AI-powered solutions, with a particular focus on AI observability, large language model (LLM) and agentic AI systems observability.
Requirements
- Deep familiarity with AI observability concepts, including monitoring LLMs, tracking model drift, and understanding agentic AI orchestration frameworks.
- Technical product marketing experience in AI, ML, or data-intensive platforms.
- Ability to quickly learn and communicate complex AI and cloud-native technologies.
- Open-source software community experience a plus.
- Familiarity with cloud-native contexts.
- Knowledge of development audience, particularly in AI, ML, and cloud-native contexts.
- Strong technical fluency
Responsibilities
- Create and consistently deliver go-to-market plans for AI observability use cases, inclusive of LLM monitoring and optimization, and agentic AI orchestration.
- Build and maintain differentiated messaging for AI-enabled observability, including narratives around ensuring trust, reliability, and ethical performance of LLMs and agentic AI systems.
- Coordinate across product management, marketing, and field teams, acting as the connective tissue to ensure AI and LLM observability updates reach relevant stakeholders in a timely manner.
- Develop product-related content for each stage of the funnel—field enablement, pitch decks, whitepapers, webinars, blogs, and solution briefs—highlighting Dynatrace’s unique capabilities in monitoring AI technologies that support autonomous agent workflows.
- Provide regular training and enablement on AI observability value propositions, competitive differentiation in AI monitoring, and real-world customer success stories.
- Partner with the competitive intelligence team to assess the AI observability and agentic AI monitoring market landscape.
- Represent Dynatrace at AI/ML and observability industry events, delivering thought leadership sessions on the intersection of AI, LLMs, and agentic AI observability.
Other
- Bachelor’s degree in marketing, business, software engineering, computer science, or related field.
- 8+ years in product marketing, product management or technical solutions engineering in the B2B enterprise market.
- Excellent written and verbal communication and interpersonal skills.
- Willingness to work across global offices and travel as needed.
- MBA a plus
