Product Manager II - Machine Learning Observability, LLM

About the Role

We are seeking a highly motivated and experienced Product Manager to lead our new Large Language Model Observability product. This is an exciting opportunity to shape the future of observability in a dynamic and innovative environment in a nascent market.

As the Product Manager for LLM Observability, you will work with engineers and designers to build a product that our customers love and will use everyday to monitor and understand how well their LLM-based applications are working. We are looking for a passionate, hands-on product manager who will dive into conversations with customers, deeply understand their daily workflows and pains and ship a product that is integral to their daily workflows for monitoring and troubleshooting AI/ML model performance.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do

• Lead the development and execution of the roadmap for a large portion of our LLM Observability product.
• Work closely with engineers and designers to define the product feature, functionality as well as requirements for backend systems and user experience.
• Run beta programs with customers collecting feedback on the feature, functionality and usability of the core product offering.
• Breakdown complexity and ambiguity into prioritized set of problems for Engineering to solve.
• Responsible for taking this product to the public, including sales and marketing enablement in partnership with marketing teams.
• Use your understanding of ML/AI or a relevant technical space understand end user workflows and translate that into product and design requirements.

Who You Are

• Expertise in AI/ML either as a practitioner (Data scientist) or a Product Manager or a Solutions Architect.
• 3+ years of PM experience or experience in the ML/AI space.
• Working knowledge of ML, data platforms, data engineering (e.g. key LLM/ML frameworks such as Langchain, CrewAI, pyTorch etc.).
• Strong, inherent understanding of customer workflows and challenges with MLOps tooling.
• A strong inclination towards taking initiative.
• Preferred: previous 0 to 1 product experience.

Benefits & Growth

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
• Continuous professional development, product training, and career pathing.
• Intra-departmental mentor and buddy program for in-house networking.
• An inclusive company culture, ability to join our Community Guilds.
• Access to Inclusion Talks, our Internal panel discussions.
• Free, global Spring Health benefits for employees and dependents age 6+.
• Competitive global benefits.