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DatadogDatadogNew York, NY

Product Manager II - Model Lab

Lead 0→1 development of Model Lab, Datadog's experiment tracking platform for AI/ML teams. Define vision, conduct discovery with research and engineering teams, and drive execution requiring 4+ years PM experience in developer tools or ML systems.

155k – 190k
Hybrid4+ YOEProduct Management

About the role

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

  • 4+ years of Product Management experience, with at least one 0→1 product or major feature launch
  • Entrepreneurial and comfortable operating with ambiguity, defining problems before defining solutions
  • Experience with developer tools, ML infrastructure, data platforms, or AI/LLM systems
  • Understand (or can quickly ramp on) modern ML training workflows — distributed training, experiment tracking, hyperparameter tuning, artifact storage, evaluation pipelines
  • Familiarity with frameworks such as PyTorch, TensorFlow, JAX, or distributed training frameworks
  • Opinionated about product quality and developer experience, especially around APIs, SDKs, and workflows
  • Can translate highly technical concepts into compelling product narratives
  • Comfortable making prioritization tradeoffs in fast-paced, competitive markets
  • Thrive in cross-functional environments and can align engineering, design, and GTM around a clear strategy
  • Excited to build in a rapidly evolving AI ecosystem

Skills

PyTorchTensorFlowJAXML InfrastructureExperiment TrackingHyperparameter TuningDistributed TrainingAPIsSDKsObservability

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