As a Product Manager II for Model Lab , you will define and launch Datadog’s experiment tracking platform built for teams training and fine-tuning foundational models. Model Lab centralizes metrics, hyperparameters, datasets, code versions, artifacts, and lineage to help ML and AI teams achieve reliable, reproducible, and explainable training runs at scale.
This is a 0→1 opportunity to build a new product that will be deeply integrated into Datadog’s observability platform. You will shape the product vision, validate the market, and drive execution for a new category-defining offering that serves AI research, ML platform, and applied AI teams.
At Datadog, we value our office culture — the relationships it builds, the creativity it fosters, and the collaboration that comes from working together. We operate as a hybrid workplace to help employees create a work-life harmony that fits their needs.
What You'll Do:
- Define the vision and strategy for Model Lab, establishing Datadog’s position in experiment tracking and model training observability
- Lead 0→1 product discovery with AI research teams, ML platform engineers, and infrastructure leaders to deeply understand experiment tracking workflows and pain points
- Design a system that unifies training metrics, hyperparameters, artifacts, dataset lineage, and model evaluation into a coherent and scalable experience
- Identify differentiation opportunities vs. competitive alternatives and homegrown internal tooling
- Partner closely with engineering and design to ship foundational capabilities such as experiment lineage, artifact versioning, distributed training visibility, and reproducibility workflows
- Collaborate with go-to-market teams to define packaging, positioning, and early customer programs
- Drive early customer adoption, including design partnerships and private beta programs
- Translate ambiguous, research-oriented workflows into clear product primitives and APIs
- Establish success metrics and iterate quickly based on user feedback and usage data
Who You Are:
- You have 4+ years of Product Management experience, with at least one 0→1 product or major feature launch
- You are entrepreneurial and comfortable operating with ambiguity, defining problems before defining solutions
- You have experience with developer tools, ML infrastructure, data platforms, or AI/LLM systems
- You understand (or can quickly ramp on) modern ML training workflows — distributed training, experiment tracking, hyperparameter tuning, artifact storage, evaluation pipelines
- You have familiarity with frameworks such as PyTorch, TensorFlow, JAX, or distributed training frameworks
- You are opinionated about product quality and developer experience, especially around APIs, SDKs, and workflows
- You can translate highly technical concepts into compelling product narratives
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